ai engineer

machine learning engineer

senior ai engineer

analytics engineer

platform engineer

ai outcome customer engineer cloud ai tech gtm

Cognism

<div><div><h2 class="jobSectionHeader"><b>WHO ARE WE</b></h2>
<p>
Cognism is the leading provider of European B2B data and sales intelligence. Ambitious businesses of every size use our platform to discover, connect, and engage with qualified decision-makers faster and close more deals. Headquartered in London with global offices, Cognism's contact data and contextual signals are trusted by thousands of revenue teams to eliminate the guesswork from prospecting.</p></div><p><b>
THE ROLE</b></p>
<p>
The Senior<b> Application Security Engineer</b> is a key member of Cognism's Information Security Team, reporting into the Application &amp; Infrastructure Security Manager. Your mission is to <b>embed security by design</b> across our engineering and product organization by integrating modern application security practices throughout the full development lifecycle. We focus on building secure, scalable, and resilient systems while enabling the business to innovate quickly and safely. It is to drive a culture where the fastest path for our engineers is the securest path.</p>
<p>
You will work closely with Product, Engineering, Architecture, and Data teams to understand risks within our platform, including risks introduced by AI powered features, and ensure the right controls, guardrails, and security patterns are built into the product at its inception &ndash; all the while ensuring a balanced approach to the product experience that our thousands of large global enterprise customers use every day.</p>
<p>
This role is ideal for a senior IC who is <b>technical, collaborative, and pragmatic</b>, with the ability to influence engineering teams while driving hands on improvements to Cognism's secure SDLC.</p>
<p><b>
KEY RESPONSIBILITIES</b></p>
<p><b>
Security by Design &amp; Product Integration</b></p>
<ul>
<li>Partner with Product, Web and Data Engineering teams from the ideation stage to ensure security requirements are considered early in feature and model design.</li>
<li>Translate product and application risks into actionable security controls, making recommendations repeatable to build guardrails and guidance that product, design, and engineering teams can apply as they scale and build the products in the teams they own.</li>
<li>Help shape security acceptance criteria and guide engineering teams during design reviews and backlog planning.</li>
</ul>
<p><b>Application Risk Assessment &amp; AI Security</b></p>
<ul>
<li>Identify and assess application risks across Cognism's SaaS platform, data processing pipelines, including emerging risks associated with AI/ML capabilities.</li>
<li>Contribute to AI feature reviews and participate in AI risk assessments to ensure responsible and secure use of models, in a way that balances the need to innovate and challenge the status quo in AI implementation.</li>
<li>Assess and pragmatically recommend mitigations for security risks in data pipelines, model-training workflows, feature stores, and ML systems, ensuring strong controls for data access, data lineage, model integrity, and protection of sensitive datasets.</li>
</ul>
<p><b>Secure SDLC &amp; DevSecOps Enablement</b></p>
<ul>
<li>Partner with our engineering and platform team to embed security guardrails into our software development lifecycle and agile engineering workflows.</li>
<li>Partner with engineering teams to integrate and optimize security tooling into CI/CD pipelines (SAST, SCA, DAST, container scanning, IaC scanning).</li>
<li>Drive automation and developer-friendly security processes that minimize friction and support rapid delivery.</li>
</ul>
<p><b>Threat Modelling &amp; Architecture Support</b></p>
<ul>
<li>Conduct and facilitate a self-serve, risk-driven approach to pragmatic threat modelling sessions for new features, services, and AI components.</li>
<li>Conduct threat modelling for data architectures, including ingestion, transformation, storage, streaming, and ML model deployment patterns, ensuring data confidentiality, integrity, and responsible use.</li>
<li>Provide hands-on application security guidance to engineering teams, helping them implement secure APIs, microservices, data flows, and integrations.</li>
<li>Maintain and expand Cognism's secure coding standards, guidance, and reusable security patterns.</li>
</ul>
<p><b>Application Security Testing &amp; Engineering</b></p>
<ul>
<li>Perform hands-on security testing (manual and automated) for web applications, microservices, APIs, and cloud components.</li>
<li>Plan, coordinate, and oversee penetration tests, red team exercises, and third-party security assessments, ensuring findings are addressed and tracked.</li>
<li>Validate findings, assist with prioritization, and partner with engineering teams on remediation strategies.</li>
</ul>
<p><b>Collaboration, Education &amp; Influence</b></p>
<ul>
<li>Work directly with product squads, acting as a trusted advisor and embedded security partner. Take the time to understand what other teams are working on, what business priorities are, and partner with teams to recommend risk mitigations that balance risk with opportunity and that take into account the threat landscape.</li>
<li>Deliver security training, workshops, and guidance to improve engineering teams' security maturity.Communicate security risk and tradeoffs clearly and constructively to technical and nontechnical stakeholders.</li>
</ul>
<p><b>CORE COMPETENCIES</b></p>
<ul>
<li>Strong technical depth in application security, cloud security, and secure development.</li>
<li>Understanding of modern data stack components (e.g., data pipelines, feature stores) and the ability to collaborate effectively with data practitioners.</li>
<li>Deep understanding of communication protocols used for web development is a must-have.</li>
<li>Hands on experience with web application development, specifically for back-end development is a must-have competency.</li>
<li><b>Risk-Based Prioritization</b>: Ability to distinguish between theoretical security risks and actual business threats, demonstrating a &quot;risk-driven&quot; rather than &quot;compliance-driven&quot; mindset. Comfortable balancing security risk with product and commercial realities.</li>
<li><b>Contextual Communication</b>: Capacity to translate complex technical vulnerabilities into business-impact stories that resonate with non-technical stakeholders and product owners.</li>
<li><b>Collaborative Conflict Resolution</b>: Proven track record of approaching engineering friction with transparency and pragmatism, balancing a firm stance on security with a deep care for the developer experience. Pragmatic problem solver with a growth mindset and bias toward action.</li>
<li><b>Architectural Empathy: </b>Ability to put yourself in the position of your users (the engineers) to build security guardrails that are repeatable and embedded into existing workflows rather than added as hurdles.</li>
</ul>
<p><b>EDUCATION &amp; EXPERIENCE</b></p>
<ul>
<li>5&ndash;10+ years of experience in Application Security, Product Security, or Security Engineering roles.</li>
<li>Strong experience securing cloud native SaaS platforms (AWS preferred) and Data pipelines.</li>
<li>Handson experience with secure coding, application testing, and CI/CD security automation.</li>
<li>Experience working closely with engineering and product teams in agile environments.</li>
<li>Familiarity with security frameworks such as OWASP ASVS, OWASP Top 10, NIST, ISO 27001/2.</li>
<li>Experience evaluating and securing AI/ML enabled features is a strong advantage.</li>
<li>Experience in SME or high-growth SaaS environments preferred.</li>
</ul><div>
<h2 class="jobSectionHeader"><b>WHY COGNISM</b></h2>
<p>
At Cognism, we're not just building a company - we're building an inclusive community of brilliant, diverse people who <b>support, challenge, and inspire each other every day</b>. If you're looking for a place where your work truly <b>makes an impact</b>, you're in the right spot!</p>
<p>
Our values aren't just words on a page&mdash;they guide how we work, how we treat each other, and how we grow together. They shape our culture, drive our success, and ensure that everyone feels valued, heard, and empowered to do their best work.</p>
<p>
Here's what we stand for:</p>
<p>
 <b>We Own the Outcome Together.</b><br>
 <b>We Deeply Understand our Customers.</b><br>
 <b>We Celebrate Impact Wherever It Comes From.</b></p>
<p>
At Cognism, we are committed to fostering an inclusive, diverse, and supportive workplace. We welcome applications from individuals typically underrepresented in tech, so if this role excites you but you're unsure if you meet every requirement, we encourage you to apply!</p></div></div><p></p>

Senior Application Security Engineer

<div><div><h2 class="jobSectionHeader"><b>WHO ARE WE</b></h2>
<p>
Cognism is the leading provider of European B2B data and sales intelligence. Ambitious businesses of every size use our platform to discover, connect, and engage with qualified decision-makers faster and close more deals. Headquartered in London with global offices, Cognism's contact data and contextual signals are trusted by thousands of revenue teams to eliminate the guesswork from prospecting.</p></div><p><b>
The Role</b></p>
<p>
At Cognism, the security of our data, our systems and our clients' systems is a business priority. Information security is embedded in the way we work, and we are driving a culture where the fastest path is the securest path. As the function continues to mature, we are now hiring for a Director of Security Engineering &amp; Operations to report directly to our CISO. In this role you will own and drive the technical security strategy for Cognism's web and data products, as well as our corporate environment. You will be responsible for designing a security programme that protects our most sensitive assets: our data, our data fusion engine and the logic that powers it. As a trusted partner to our R&amp;D leadership team you will help to define and drive the long-term security engineering maturity roadmap, driving alignment across engineering leaders, product leadership and IT. If you're energised by the idea of shaping measurable security processes and controls, from the ground up, aligning engineering around secure-by-design principles, and elevating operational excellence, then this is the role for you. This is a rare opportunity to define the technical security vision for a dataintensive product at a moment where AI, scale, and engineering velocity are creating new and exciting challenges. You will shape how Cognism builds securely for the next decade.</p><br>
<p></p>
<p><b>
What success looks like</b></p>
<p>
Within 12 months, you will have:</p>
<ul>
<li>Delivered a unified security engineering roadmap aligned with engineering leadership.</li>
<li>Matured secure SDLC adoption across Web and Data engineering.</li>
<li>Improved MTTD/MTTR through stronger SOC operations.</li>
<li>Invested in and mentored a team with clear ownership, KPIs, and engineering trust.</li>
<li>Reduced engineering friction by creating pragmatic, developerfriendly guardrails</li></ul><br>
<p></p>
<p><b>
What You'll Own</b></p>
<p><b>
Security Strategy &amp; Engineering Integration</b></p>
<ul>
<li>Define and own Cognism's technical security strategy that seeks to embed security-by-design within our web and data products, our data fusion engine and pipelines, and our corporate landscape. You will drive a strategy that is pragmatic, risk-ranked, and aligned to engineering velocity.</li>
<li>Work directly with product and technology leadership as a strategic partner. You will drive ownership and accountability, clearly agreeing ways of working between your team and product and technology teams.</li>
<li>Set and direct a secure SDLC strategy that engineers engage with, coaching and mentoring our application security engineer with running our threat modelling program, embedding security in CI/CD, and iteratively improving our vulnerability management processes.</li>
<li>Partner with engineering leadership to ensure risk-driven supply chain management across our product, ensuring what we bring in doesn't undermine what we protect.</li>
<li>Work directly with our Director of IT operations to ensure our corporate security posture is mitigating risk and empowering our employees to be as secure as possible, through guardrails that protect unacceptable risk but don't stifle innovation.</li></ul><br>
<p></p>
<p><b>
Data &amp; AI Security</b></p>
<ul>
<li>Partner with our VP of Data Engineering to strengthen the security of our enrichment engine, data pipelines, and warehouse ecosystems.</li>
<li>Direct a strategy that considers security across the full data stack - from ingestion through to the warehouse - with a focus on access governance, data classification, and secrets management as non-negotiables.</li>
<li>Define how Cognism embeds AI securely as LLMs and agentic workflows move deeper into the product and our technology teams' operations.</li>
<li>Partner with our CISO to shape and implement an AI security posture that is embedded in strong security foundations, helping us stay ahead of the threat landscape rather than reacting to it.</li></ul><br>
<p></p>
<p><b>
Detection, Response &amp; SOC Partnership</b></p>
<ul>
<li>Own the strategic relationship with our 24/7 outsourced SOC holding them to a high standard on threat hunting, threat intelligence utilisation, and automated response, not just SLA compliance.</li>
<li>Ensure Cognism has a holistic, well-maintained SIEM that reflects how we operate and improves continuously as the threat landscape evolves.</li>
<li>Build the internal team into a trusted escalation layer, with clear incident response playbooks, rehearsed escalation paths, and a feedback loop that sharpens detection over time.</li></ul><br>
<p></p>
<p><b>
Team &amp; Culture</b></p><br>
<p></p>
<ul>
<li>Lead a team of application and infrastructure security engineers, setting the standard for technical excellence and deep partnership with their engineering counterparts.</li>
<li>Build a security culture where developers raise security questions early, understand threat models, and own remediations, not because policy requires it, but because the culture makes it natural.</li>
<li>Be the security leader Cognism's engineers want in the room: credible enough to be trusted, collaborative enough to be included, and strategic enough to make it count.</li></ul><br>
<p></p>
<p><b>
What We Need</b></p>
<p><b>
Leadership &amp; influence</b></p>
<ul>
<li>Demonstrated experience building security programmes from scratch or transforming them significantly in a product-led, engineering-first company.</li>
<li>A track record of influencing engineering culture and earning trust, not enforcing it.</li>
<li>Experience managing external security partners, (e.g 24/7 Security Operations Centre, penetration testing 3rd parties) and raising their performance through clear accountability, not just contract reviews.</li>
<li>Able to communicate risk in business terms to exec and board audiences, and technical terms to engineers, without losing precision in either direction.</li></ul><br>
<p></p>
<p><b>
Technical foundation</b></p>
<ul>
<li>Strong AppSec expertise (OWASP, API security, SAST/DAST, SDLC) with practical threat modelling experience &ndash; enough to challenge and coach our most senior application security engineers.</li>
<li>Handson understanding of data security, cloud data warehouses, and pipeline integrity &ndash; enough to ensure we are driving the right programme of work across our technology department.</li>
<li>Cloud security fluency with working knowledge of container and Kubernetes security, IAM design, and cloud-native security tooling &ndash; enough to clearly identify, prioritise and challenge solutions for implementing security in our cloud environment.</li>
<li>Working knowledge of AI/LLM security risks: enough depth to assess integrations, define guardrails, and evolve the programme as the technology does.</li></ul><br>
<p></p>
<p><b>
Mindset</b></p>
<ul>
<li>Risk-based by instinct: prioritises based on both technical and business impact</li>
<li>Builder mentality: energised by creating structure where there isn't any, pragmatic about sequencing, and focused on outcomes over coverage.</li>
<li>Genuinely curious about AI, not just its security risks, but its potential to improve how security is done.</li>
</ul><div>
<h2 class="jobSectionHeader"><b>WHY COGNISM</b></h2>
<p>
At Cognism, we're not just building a company - we're building an inclusive community of brilliant, diverse people who <b>support, challenge, and inspire each other every day</b>. If you're looking for a place where your work truly <b>makes an impact</b>, you're in the right spot!</p>
<p>
Our values aren't just words on a page&mdash;they guide how we work, how we treat each other, and how we grow together. They shape our culture, drive our success, and ensure that everyone feels valued, heard, and empowered to do their best work.</p>
<p>
Here's what we stand for:</p>
<p>
 <b>We Own the Outcome Together.</b><br>
 <b>We Deeply Understand our Customers.</b><br>
 <b>We Celebrate Impact Wherever It Comes From.</b></p>
<p>
At Cognism, we are committed to fostering an inclusive, diverse, and supportive workplace. We welcome applications from individuals typically underrepresented in tech, so if this role excites you but you're unsure if you meet every requirement, we encourage you to apply!</p></div></div><p></p>

Director, Security Engineering & Operations

Commerce

<div><h1 class="jobSectionHeader"><b>Welcome to the Agentic Commerce Era
</b></h1><p></p><p>At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce , Feedonomics , and Makeswift , we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. We believe in harnessing AI responsibly to unlock new possibilities, and we&rsquo;re looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what&rsquo;s possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you.
</p><p></p><h1 class="jobSectionHeader"><b>Senior Software Engineer - Data Team
</b></h1><p>Location: London / UK (Hybrid)
</p><p>Company: Commerce<br>
</p><br>
<h2 class="jobSectionHeader"><b>About Commerce
</b></h2><p>Commerce is an open SaaS ecommerce platform that helps merchants build, run, and grow their businesses.
</p><p>The Data Team builds systems that support merchant-facing products, integrations, analytics, reporting, and the infrastructure behind them.<br>
</p><br>
<h2 class="jobSectionHeader"><b>About The Role
</b></h2><p>We are looking for a Senior Software Engineer who can own complex problems from discovery through production.
</p><p>This role is not narrowly frontend, backend, or data engineering. The right person can work across services, APIs, event flows, product experience, production debugging, and cross-team delivery.
</p><p>They should be comfortable taking an unclear business or customer problem, breaking it down, making trade-offs clear, and shipping a reliable solution.
</p><p>We need someone who raises the engineering bar without needing a lot of direction.<br>
</p><br>
<h2 class="jobSectionHeader"><b>What You Will Do
</b></h2><ul><li>Design and build reliable services, APIs, and product-facing workflows.
</li><li>Work across backend systems, UI surfaces, event processing, and third-party integrations.
</li><li>Turn unclear problems into concrete technical plans.
</li><li>Own production behavior, including monitoring, alerting, logging, debugging, and runbooks.
</li><li>Work with product, design, infrastructure, support, and other engineering teams.
</li><li>Improve quality through tests, code review, observability, and simpler designs.
</li><li>Use data and production evidence to validate decisions.
</li>Take ownership of incidents and production issues when systems do not behave as expected.<br>
<li>
</li></ul><br>
<h2 class="jobSectionHeader"><b>What We Are Looking For
</b></h2><ul><li>Strong senior-level engineering judgment.
</li><li>Experience owning ambiguous technical work.
</li><li>Ability to solve problems across multiple layers of a system.
</li><li>Strong backend engineering experience with production services.
</li><li>Enough frontend experience to work on product-facing workflows when needed.
</li><li>Comfort with distributed systems, event-driven flows, caching, retries, rate limits, and failure modes.
</li><li>Strong production debugging skills.
</li><li>Ability to explain trade-offs clearly.
</li><li>Bias toward simple, reliable solutions.
</li>Good communication during incidents, reviews, and cross-team work.<br>
<li>
</li></ul><br>
<h2 class="jobSectionHeader"><b>Technical Experience
</b></h2><ul><li>5+ years of software engineering experience.
</li><li>Strong experience with Java, Scala, Kotlin, Go, or a similar backend language.
</li><li>Experience building APIs, services, and integrations.
</li><li>Experience with SQL and data-backed product behavior.
</li><li>Experience with GCP, AWS, or another cloud platform.
</li><li>Experience with Kafka, RabbitMQ, Pub/Sub, or similar event systems.
</li><li>Experience with logs, metrics, dashboards, alerts, and tracing.
</li>Experience writing automated tests and reviewing code.<br>
<li>
</li></ul><br>
<h2 class="jobSectionHeader"><b>Useful Experience
</b></h2><ul><li>React / TypeScript or similar frontend experience.
</li><li>Experience with merchant-facing or customer-facing product workflows.
</li><li>Experience with third-party integrations, account linking, OAuth, or external APIs.
</li><li>Experience with Redis, caching, rate limiting, queues, or high-volume event processing.
</li>Experience with analytics, reporting, attribution, or event data products.<br>
<li>
</li></ul><br>
<h2 class="jobSectionHeader"><b>Mindset
</b></h2><ul><li>Own the outcome, not only the ticket.
</li><li>Ask what problem we are solving before choosing the implementation.
</li><li>Prefer simple designs that other engineers can operate.
</li><li>Validate risky assumptions early.
</li><li>Use production data and customer impact to guide decisions.
</li><li>Escalate early when risk, ownership, or scope is unclear.
</li>Do not take shortcuts around process, security, or production safety.<br>
<li>
</li></ul><br>
<h2 class="jobSectionHeader"><b>What Good Looks Like
</b></h2><p>A strong candidate can describe systems they owned, incidents they handled, trade-offs they made, and mistakes they learned from.
</p><p>They should be able to explain how they approach unclear problems, reduce risk before production, and make systems easier for the team to operate.
</p><p>They should not need a tech lead to turn every ambiguous problem into a detailed task list.
</p><p></p><h1 class="jobSectionHeader"><b>Inclusion and Belonging
</b></h1><p></p><p>At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.
</p><p></p><p>We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at Commerce, please let us know during any of your interactions with our recruiting team.
</p><p></p><p>Learn more about the Commerce team, culture and benefits at https://www.commerce.com/careers/
</p><p></p><h1 class="jobSectionHeader"><b>Protect Yourself Against Hiring Scams: Our Corporate Disclaimer
</b></h1><p></p><p>Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.
<br>
<br>
Be advised:
<br>
Commerce does not offer jobs to individuals who do not go through our formal hiring process.
<br>
<br>
Commerce will never:
</p><ul><li><p>require payment of recruitment fees from candidates;
</p></li><li><p>request personally identifiable information through unsanctioned websites or applications;
</p></li><li><p>attempt to solicit money from you as part of the hiring process or as part of an employment offer;
</p></li><li><p>solicit money to complete visa requirements as part of a job offer.<br>
</p></li></ul><p><br>
If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.</p></div>

Senior Software Engineer

Ciklum

<p></p><div><div><div><div><div><div><div><div><div><div><div><b>Ciklum</b> is looking for a <b>Expert Agentic AI Engineer</b> to join our team full-time in the UK .<br>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.</div><p><b>
About the role:</b></p><p>
As a Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.</p><p><b>
Responsibilities:</b></p><ul><li>
Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models</li><li>
Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots</li><li>
Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines</li><li>
Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines</li><li>
Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members</li></ul><p><b>
Requirements:</b></p><ul><li>
5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments</li><li>
Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels</li><li>
Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio)</li><li>
Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution</li><li>
Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face)</li><li>
Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML)</li><li>
Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles. a formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred</li></ul><p><b>
What`s in it for you?</b></p><ul><li>
Strong community: Work alongside top professionals in a friendly, open-door environment</li><li>
Growth focus: Take on large-scale projects with a global impact and expand your expertise</li><li>
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li><li>
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li><li>
Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company&rsquo;s Benefit Plans</li></ul><p><b>
About us:</b></p><p>
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast&mdash;inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.</p><p><b>
Explore, empower, engineer with Ciklum!</b></p><p>
Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.</p><p>
#LI-VH1</p></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>REQUIRED SKILLS</p>
<div><ul><p>Agentic AI</p>
</ul></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><p>JOB INFO</p>
<div><div><div><ul><div><div>Job Identification</div>
<div>3619</div>
</div><div><div>Job Category</div>
<div>Intelligent Automation</div>
</div><div><div>Posting Date</div>
<div>07/03/2026, 02:34 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>London
</div></div>(Hybrid)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Expert Agentic AI Engineer

ClearRoute

<div><p><b>About Us:</b></p><p></p><p>
ClearRoute is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges.</p><p></p><p>
We take as much pride in our people, culture and work-life balance as we do in making better software. We&rsquo;re not just making better software. We&rsquo;re making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for ClearRoute, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains.</p><p></p><p><b>
Role:</b></p><p>
At ClearRoute, the Technical Delivery Manager is the operational backbone of an engagement: running governance, managing risk, coordinating delivery teams, and keeping clients and ClearRoute aligned. Unlike a pure project manager, we are looking for a Technical Delivery Manager whi is is engineering-literate and leads delivery in an engineering-first way, holding the team to strong Agile and engineering-excellence practices.</p><p><b><br>
Key Responsibilities:</b></p><ul><li><p>
Establish and run the Delivery Playbook governance structure and cadence (kickoff, planning, execution, closure)</p></li><li><p>
Facilitate communication between client and ClearRoute; maintain a clear view of who is working on what and who the stakeholders are Capture delivery data, RAG status, risks and insights for governance reporting (bi-weekly and monthly delivery reviews)</p></li><li><p>
Manage engagement risk to protect ClearRoute's interests; identify and decouple dependencies</p></li><li><p>
Coordinate workstreams, coach the team, ensure quality of deliverables and adherence to Agile practices</p></li><li><p>
Run the Delivery Health Check Toolkit regularly to gauge team health/performanc</p></li><li><p>
Own engagement closure: sign-off of deliverables, engagement review, case study and IP capture</p></li></ul><p><b><br>
Required Experience:</b></p><ul><li><p>
Proven track record managing software delivery engagements end-to-end (on time, on scope, on budget), ideally in a consultancy or client-facing services environment.</p></li><li><p>
Strong working knowledge of Agile delivery methodologies (Scrum/Kanban) and modern engineering practices (CI/CD, DORA metrics, quality engineering), with enough technical literacy to challenge and guide engineering teams.</p></li><li><p>
Excellent stakeholder management and communication skills, including the ability to build trust with senior client stakeholders and economic buyers.</p></li><li><p>
Demonstrable risk and dependency management capability, with sound commercial judgement to protect delivery and margin.</p></li><li><p>
Experience running delivery governance and reporting &mdash; status, RAG, risk logs &mdash; and presenting to client and internal leadership.</p></li><li><p>
Ability to coach and coordinate multidisciplinary teams, and to operate pragmatically by adapting process to context rather than applying it rigidly.</p></li></ul><p><b><br>
Desirable Experience:</b></p><ul><li><p>
Background as a hands-on software engineer or technical lead before moving into delivery management.</p></li><li><p>
Experience across multiple engagement models (Time &amp; Materials, Capability/squad-based, and Outcome/OKR-based).</p></li><li><p>
Familiarity with cloud, DevOps, and test-automation domains
</p></li><li><p>Experience setting up engagements from scratch &mdash; onboarding teams onto client systems, co-creating backlogs, and establishing delivery cadence.</p></li></ul><p><b><br>
Working at ClearRoute</b><br>
We have grown from six founders to 180+ people across five countries in three years, and what sets us apart isn't the pace, it's how we grow.</p><ul><li><p><b><br>
Real flexibility, in practice.</b> We trust you to perform at your best and still have a life outside of work, with genuine hybrid working, a home office budget, an open feedback culture where your voice shapes decisions, and time off when life needs it (birthday included).</p></li><li><p><b><br>
When ClearRoute wins, you win.</b> We offer profit share so success is shared, meaningful recognition for great work, and benefits that look after you and your family, including private healthcare, competitive salary benchmarking, and a confidential employee assistance program covering counselling, mental health support, and financial wellbeing.</p></li><li><p><b><br>
A community you'll genuinely want to be part of.</b> Interest based communities like running and book clubs, Women in Tech group, monthly socials, and cross regional events bring people together across the company. An inclusive, collaborative culture where you don't need to conform to succeed, where people support one another and feel comfortable being themselves.</p></li><li><p><b><br>
Where meaningful work meets real growth.</b> You will tackle complex, real world problems at the forefront of platform engineering, AI, security, and scalable systems. Your growth is supported by learning budgets, Udemy access, a clear career framework, internal mobility, and thought leadership opportunities that take your impact beyond ClearRoute.</p></li></ul><p></p><p><i>
At ClearRoute, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis.</i></p><p></p><p><i>
We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at </i><i>join@clearroute.io</i></p></div>

Technical Delivery Manager

Hiscox

<div>
 <strong>
  Job Type
  <br/>
  <br/>
 </strong>
 Permanent
 <br/>
 <br/>
 <strong>
  Build a brilliant future with Hiscox
  <br/>
  <br/>
 </strong>
 <strong>
  Reporting to: Re &amp; ILS Head of Data
  <br/>
  <br/>
 </strong>
 <strong>
  Location:
 </strong>
 London
 <br/>
 <br/>
 Type: Permanent
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 The Lead Data Scientist is a crucial member of the
 <strong>
  extended
 </strong>
 RE&amp;ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New)
 <strong>
  Data Science and Machine Learning
 </strong>
 chapter.
 <br/>
 <br/>
 This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions).
 <br/>
 <br/>
 You will co-lead the new Data Science chapter with the RE&amp;ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision-making across RE&amp;ILS strategic Value Streams. Whilst the chapter grows, you are expected to be
 <strong>
  hands-on
 </strong>
 actively helping to architect, design, and build AI or Data Science-based solutions, using internally trained models, LLMs and/or a combination of both.
 <br/>
 <br/>
 Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the
 <strong>
  Group AI Governance Framework
 </strong>
 and maintains rigorous data governance standards. You will be accountable of this adherence.
 <br/>
 <br/>
 This is likely to be your first managerial role and the first time you have had one or more direct reports &ndash; having previously been a Senior Data Scientist or Machine Learning Engineer yourself. In this role you will be responsible for the management of a 1 to 4 junior and mid-level Hiscox FTEs and Partner resources too. You will be expected to support the Head of Data with attracting and retaining the best talent; helping to manage their career progression and ensure they are highly engaged, find the work fulfilling, and have the ability to rapidly deliver value to the business. As this is likely to be your first managerial role you will be supported and guided by other Data Leaders &ndash; Head of Data and the Hiscox Group Head of Data Science as well.
 <br/>
 <br/>
 <strong>
  About Hiscox Re &amp; ILS
  <br/>
  <br/>
 </strong>
 Hiscox Re &amp; ILS is located in
 <strong>
  Bermuda and London
 </strong>
 and underwrites reinsurance risks from around the world on behalf of our own and other people&rsquo;s capital. The team of over 100 smart, enthusiastic individuals are committed to providing top quality service to brokers and clients across a broad range of reinsurance products. Our approach is simple; match the best underwriting risk against globally diversified capital. Our proactive, product-led underwriting approach is complemented by a commitment to world class service and purpose-built analytics and systems. We know our people are our biggest asset so finding and retaining the best talent is critical to achieving our vision.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Chapter Leadership &amp; Talent Management
  </li>
  <li>
   People Management: Lead, recruit, mentor, coach, train, and retain a high-performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Inspire chapter members to be curious, embrace new ideas, and nurture psychological safety to help build a high-performance culture.
  </li>
  <li>
   In this role you will manage at least one to two Hiscox data scientists and some partner resources too. You will be expected to manage their performance with relevant PDRs and help to calibrate their overall performance ratings with other people managers in the team. You will work with the Head of Data and Group Head of Data Science to help tailor the training needs to suit each individual and ensure they have the opportunity to grow and progress in their chosen career paths.
  </li>
  <li>
   Culture &amp; Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members.
  </li>
  <li>
   Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice.
  </li>
  <li>
   Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn &ndash; especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value.
  </li>
  <li>
   Solution Delivery &amp; ML Ops Excellence
  </li>
  <li>
   Hands-On Architecture: Get hands-on to help architect, design, and build complex models that integrate into existing IT solutions to improve data-driven decision-making throughout the Reinsurance Value Chain. Ensure you and your chapter members work closely with Platform Engineers and Architects to create the most optimal and safe solutions.
  </li>
  <li>
   ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. This includes embedding a rigorous model evaluation process, ensuring consistent model refresh/rebuild capabilities due to model or data drift, and implementing effective monitoring and alerts against rogue behaviour.
  </li>
  <li>
   Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Understand when to move on and fail fast &ndash; as a lot of AI use cases will be highly experimental in nature with no guarantees of success.
  </li>
  <li>
   Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models.
  </li>
  <li>
   Strategy, Governance &amp; Innovation
  </li>
  <li>
   Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains.
  </li>
  <li>
   Governance &amp; Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work.
  </li>
  <li>
   Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&amp;D to deliver reliable insights and potential next steps quickly.
  </li>
  <li>
   Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience And Structure
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Reporting: Reports into the RE&amp;ILS Head of Data with a dotted line into the new Group Head of Data Science.
  </li>
  <li>
   Direct Reports: Direct line management for Data Scientists and Machine Learning Engineers within the RE&amp;ILS Data Science Chapter.
  </li>
  <li>
   Key Partners: RE&amp;ILS CTO, Group Head of Data Science, RE&amp;ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft).
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Candidate Profile
  <br/>
  <br/>
 </strong>
 The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA-regulated business, advocating for a data-driven approach, and driving innovation while maintaining rigorous AI governance standards. You will have a strong determination and resilience and not fear failure or the inevitable setbacks often found in highly experimental work.
 <br/>
 <br/>
 <strong>
  Main Experience Required Is
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep Interest in Leadership: As an experienced data scientist or machine learning engineer, has previously demonstrated excellent traits in mentoring and coaching more junior team members and has been happy to invest in them - clearly demonstrating they care about other peoples&rsquo; career progression. Also you can evidence some successful business outcomes that you personally drove forward using advanced Data Science/AI &ndash; as this most likely is your first leadership role.
  </li>
  <li>
   Technical Depth: Extensive "hands-on" experience in architecting, designing, and building complex ML models, with a strong understanding of cloud services and the AI/ML/LLM ecosystem.
  </li>
  <li>
   ML Ops Maturity: Proven ability to build, maintain, and support production-deployed models, including establishing effective monitoring, evaluation, and refresh processes.
  </li>
  <li>
   AI and Data Governance: Mature understanding of AI and Data governance - data obfuscation &amp; data privacy laws, data version control, data lineage, and the application of AI governance frameworks in a regulated environment.
  </li>
  <li>
   Stakeholder Management: Experience in managing and driving collaboration with business unit leaders (Underwriters, pricing teams, MI team) and external technology partners like Google Cloud, Snowflake, DataIku and Microsoft.
  </li>
  <li>
   Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent.
  </li>
  <li>
   Capacity for independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems.
  </li>
  <li>
   Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.
  </li>
  <li>
   Real world experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), AI Agents and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions.
  </li>
  <li>
   Demonstrate a Solid understanding of foundational statistics and experimental design. Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization.
  </li>
  <li>
   Ability to translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real-world adoption and beneficial outcomes of our analytical work.
  </li>
  <li>
   Ability to elevate the technical maturity and capabilities of the data science chapter by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices.
  </li>
  <li>
   Educator: shown the ability to train and coach more junior and mid-level team members - ensuring they have excellent career progression and become high performers.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 If you are a visionary expert looking for your first leadership role and ready to accelerate our value delivery and champion all things Data Science and AI, we invite you to apply for the position of Lead Data Scientist at Hiscox Re &amp; ILS. Join our team and be a catalyst for AI adoption in a dynamic, forward-thinking organization.
 <br/>
 <br/>
 <em>
  Work with amazing people and be part of a unique culture
 </em>
</div>


Lead Data Scientist

UK Government - Department for Science, Innovation & Technology

<div><div><h2 class="jobSectionHeader"><b>Details</b></h2>
<div><h3 class="jobSectionHeader"><b>Reference number</b></h3>
<div>468917
</div></div><div><h3 class="jobSectionHeader"><b>Salary</b></h3><div>
&pound;69,675 - &pound;90,756</div></div><div><div>
Salary is paid within the grade range shown below.
<br>
As this is a GDAD role, the maximum salary includes a non-pensionable technical allowance, and successful candidates will be appointed somewhere within that range depending on assessment.
<br>
<br>
Grade 6
<br>
National: &pound;69,675 to &pound;82,318 (maximum includes &pound;12,643 non-pensionable allowance)
<br>
London: &pound;74,605 to &pound;90,756 (maximum includes &pound;16,151 non-pensionable allowance)</div></div><div><div>
A Civil Service Pension with an employer contribution of 28.97%</div></div>
<div>GBP</div>
<div><h3 class="jobSectionHeader"><b>Job grade</b></h3><div><div>
Grade 6</div></div></div><div><h3 class="jobSectionHeader"><b>
Contract type</b></h3><div>
Permanent</div></div><div><h3 class="jobSectionHeader"><b>
Business area</b></h3><div>
DSIT - Digital, Technologies and Telecoms</div></div><div><h3 class="jobSectionHeader"><b>
Type of role</b></h3><div>
Other</div></div><div><h3 class="jobSectionHeader"><b>
Working pattern</b></h3><div>
Flexible working, Full-time, Job share, Part-time</div></div><div><h3 class="jobSectionHeader"><b>
Number of jobs available</b></h3><div>
2</div></div></div>
<div><div><h2 class="jobSectionHeader"><b>Contents</b></h2></div><div><ul><li>
Location</li><li>
About the job</li><li>
Benefits</li><li>
Things you need to know</li><li>
Apply and further information</li></ul></div><div><h2 class="jobSectionHeader"><b>
Location</b></h2></div><div><div>
Bristol, London, Manchester</div></div><div><h2 class="jobSectionHeader"><b>
About the job</b></h2></div><div><h3 class="jobSectionHeader"><b>
Job summary</b></h3><div><h2 class="jobSectionHeader"><b>
Incubator for AI, i.AI</b></h2><h3 class="jobSectionHeader"><b>
Help build the platform behind some of the most ambitious AI products in government</b></h3><p>
This is not a conventional platform engineering role.</p><p>
At i.AI, you will help build the cloud platform that enables teams to deliver frontier AI products into real world public services. Your work will shape the foundations that allow AI systems to move from idea to production securely, reliably and at pace.</p><p>
You will join a highly capable engineering team with a flat structure, strong technical standards and a high degree of autonomy. This is an environment for engineers who want to solve hard problems, influence architecture, improve how teams build, and work on technology that has visible impact beyond the organisation itself.</p><p>
If you are excited by platform engineering, modern cloud infrastructure, AI enabled systems and the challenge of making advanced technology work in the real world, this is a rare opportunity to do all of that in one role.</p></div></div><div><h3 class="jobSectionHeader"><b>
Job description</b></h3><div><h2 class="jobSectionHeader"><b>
About the role</b></h2><p>
We are looking for a Lead Cloud Platform Engineer to help design, build and operate the platform that powers AI product delivery.</p><p>
This is a hands-on technical leadership role for an engineer who combines deep cloud platform expertise with broad strength across architecture, security, software engineering and AI platform concerns. You will operate as a T shaped engineer, bringing both technical depth and the judgement to work across disciplines when needed.</p><p>
You will play a central role in defining how platform capabilities are built, adopted and evolved. You will lead through technical credibility, not hierarchy, helping teams solve complex problems while raising the bar for engineering quality across the platform.</p><h2 class="jobSectionHeader"><b>
What you will work on</b></h2><ul><li><b>
End to end platform engineering: </b>You will own the technical delivery of platform initiatives from concept through to production. That means taking ambiguous problems, making clear architectural decisions, and building secure, scalable cloud components that teams can depend on.</li><li><b>
Platform as a product: </b>You will work backwards from user needs to build technical capabilities that improve the developer experience. You will create reusable patterns for local development, pipelines, environments, observability and operational ergonomics, helping teams ship faster with less friction.</li><li><b>
AI workload enablement: </b>You will support the delivery of production AI systems and agentic workloads. You will build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability and cost control.</li><li><b>
Intelligent automation and security: </b>You will treat security as a first class engineering concern, building automated controls for software supply chain security, secrets management and policy as code. You will also actively use GenAI capabilities to reduce operational toil, introduce intelligent guardrails and streamline developer workflows.</li><li><b>
Technical leadership: </b>You will help shape platform direction through strong engineering judgement and hands on delivery. You will mentor other engineers, introduce better patterns and balance the needs of individual teams with platform wide coherence.<br>
</li></ul><h2 class="jobSectionHeader"><b>
Why join i.AI</b></h2><p>
This is a chance to work on platform engineering at a point where cloud, software delivery and AI are converging fast.</p><p>
You will have the opportunity to:</p><ul><li>
Build for real production AI use cases rather than isolated experiments</li><li>
Work with frontier models and modern AI tooling as part of day to day engineering</li><li>
Solve platform problems that span reliability, developer experience, security and AI enablement</li><li>
Influence architecture and technical standards in a high trust, high agency team</li><li>
Contribute to products with meaningful real world impact</li></ul><p>
For the right engineer, this role offers a combination that is hard to find elsewhere: complex platform work, genuine technical ownership, access to advanced AI tooling, and the chance to help shape how ambitious AI products are delivered in practice.</p><h2 class="jobSectionHeader"><b>
Our stack</b></h2><p>
You do not need to be an expert in every tool from day one, but our technical ecosystem includes:</p><ul><li><b>
Cloud infrastructure: </b>AWS including ECS, Lambda, CloudFront, RDS and S3, alongside multi cloud integration patterns across Azure and GCP.</li><li><b>
Containerisation and delivery: Docker and podman, container orchestration, GitHub Actions for CI and CD, infrastructure automation, and robust deployment patterns including rolling, canary and blue green.</b></li><li><b>
Development: </b>Terraform, Python with FastAPI, and JavaScript or TypeScript with Next.js, Astro and Node.js.AI platform layer: Tooling for model routing, tracing and evaluation, such as LiteLLM and Langfuse, integrated with modern AI frameworks including LangGraph, DSPy and Inspect.</li><li><b>
AI harness: </b>OpenCode and Claude Code, with full access to frontier models from OpenAI, Anthropic and Google for both developer augmentation and platform integration.</li><li><b>
Observability: </b>AWS CloudWatch for logs, metrics and alarms, alongside Grafana, Sentry and X Ray for monitoring and tracing.</li><li><b>
Security: </b>Supply chain tooling including SAST, SCA and SBOMs, policy as code, runtime assurance including CSPM and DAST, and automated IAM and secrets management.</li></ul></div></div><div><h3 class="jobSectionHeader"><b>
Person specification</b></h3><div><h2 class="jobSectionHeader"><b>
Who we think will thrive in this role</b></h2><p>
We are looking for an experienced lead level engineer who is energised by building platforms that matter.</p><p>
You may be a strong fit if you bring some of the following:</p><ul><li>
Strong hands on experience building and operating cloud platforms in production, with AWS strongly preferred</li><li>
Deep understanding of platform architecture, distributed systems design, networking fundamentals and reliability concepts such as SLOs, tracing and alerting</li><li>
A mindset for applying AI internally, with experience or strong interest in using GenAI and LLM assisted tooling to reduce repetitive operational work and improve platform resilience</li><li>
Practical experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling and policy as code</li><li>
Experience supporting AI or ML systems in production, including model serving, MLOps, agentic orchestration, or prompt and inference cost trade offs</li><li>
Practical proficiency in software development and strong capability in infrastructure automation</li><li>
A track record of defining reusable patterns and evolving engineering standards, rather than simply delivering one off solutions</li><li>
Strong ownership, sound judgement and comfort working through ambiguity</li><li>
A product mindset, with a clear understanding that developer experience is critical to platform adoption</li><li>
The ability to coach others, raise technical standards through practice, and operate effectively in a flat, high agency team</li></ul><p>
Bonus experience includes multi cloud patterns, GPU or HPC workloads, or building platform telemetry and internal tools.</p></div></div><div><h3 class="jobSectionHeader"><b>
Technical skills</b></h3>
<div><p>We'll assess you against these technical skills during the selection process:</p>
<ul><li>Candidates will assessed technically via interview and potentially take home assessment. Details of this will be communicated to the candidate directly.</li>
</ul></div></div><div><h2 class="jobSectionHeader"><b>Benefits</b></h2></div><div><div>
Alongside your salary of &pound;69,675, Department for Science, Innovation &amp; Technology contributes &pound;20,184 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides .</div></div><div><div><p>
The Department for Science, Innovation and Technology offers a competitive mix of benefits including:</p><ul><li>
A culture of flexible working, such as job sharing, homeworking and compressed hours.</li><li>
Automatic enrolment into the Civil Service Pension Scheme, with an employer contribution of 28.97%.</li><li>
A minimum of 25 days of paid annual leave, increasing by 1 day per year up to a maximum of 30.</li><li>
An extensive range of learning &amp; professional development opportunities, which all staff are actively encouraged to pursue.</li><li>
Access to a range of retail, travel and lifestyle employee discounts.</li></ul><p><b>
Office attendance</b></p><p>
The Department operates a discretionary hybrid working policy, which provides for a combination of working hours from your place of work and from your home in the UK. The current expectation for staff is to attend the office or non-home based location for 40-60% of the time over the accounting period.</p></div></div><div><h2 class="jobSectionHeader"><b>
Things you need to know</b></h2></div><div><h3 class="jobSectionHeader"><b>
Artificial intelligence</b></h3><div>
Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.</div></div><div><h3 class="jobSectionHeader"><b>
Selection process details</b></h3><div><div>
This vacancy is using Success Profiles , and will assess your Experience and Technical skills.</div></div><div><div><p><b>
Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not requiredwe will sponsor and support you.</b> You should normally have been resident in the UK for 2 of the past 5 years. Employment is conditional on obtaining and maintaining the required clearance(s). More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK</p><p>
In accordance with the Civil Service Commission rules, the following list contains all elements of the selection process.</p><p>
Candidates should expect to go through some or all of the following stages once an application has been submitted:</p><ul><li>
A short initial conversation</li><li>
Technical take home test</li><li>
Second interview in which well review the technical test</li><li>
Third interview with wider representation from the team</li><li>
Final interview with members of the senior team</li></ul><p>
To apply please follow the instructions on Greenhouse where you will be asked to complete personal statement questions and upload your CV. Should the team receive an abundance of CVs we reserve the right to sift on CV alone.</p><h3 class="jobSectionHeader"><b>
Diversity and Inclusion</b></h3><div>
The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service Diversity and Inclusion Strategy . As part of the application process, we monitor statistics on D&amp;I. You can see how we process this data here: Recruitment privacy notice - GOV.UK.</div><br>
Feedback will only be provided if you attend an interview or assessment.</div></div></div><div><h3 class="jobSectionHeader"><b>
Security</b></h3><div><div>
Successful candidates must undergo a criminal record check.</div></div><div><div>
Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check .<br>
<br>
See our vetting charter .</div></div><div><div>
People working with government assets must complete baseline personnel security standard (opens in new window) checks.</div></div></div><div><h3 class="jobSectionHeader"><b>
Nationality requirements</b></h3><div><div>
<p>This job is broadly open to the following groups:</p>
<ul><li>UK nationals</li>
<li>nationals of the Republic of Ireland</li>
<li>nationals of Commonwealth countries who have the right to work in the UK</li>
<li>nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS)</li>
<li>nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)</li>
<li>individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020</li>
<li>Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service</li>
</ul>Further information on nationality requirements
</div></div></div><div><h3 class="jobSectionHeader"><b>Working for the Civil Service</b></h3><div><div>
The Civil Service Code sets out the standards of behaviour expected of civil servants.<br>
<br>
We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles .</div></div><div><div>
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.</div></div><div><div>
The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.</div></div></div><div><h3 class="jobSectionHeader"><b>
Diversity and Inclusion</b></h3><div>
The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service Diversity and Inclusion Strategy .</div></div><div><h2 class="jobSectionHeader"><b>
Apply and further information</b></h2></div><div><div>
This vacancy is part of the Great Place to Work for Veterans initiative.</div></div><div><div>
Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.</div></div><div><h3 class="jobSectionHeader"><b>
Contact point for applicants</b></h3><div><h4 class="jobSectionHeader"><b>
Job contact :
</b></h4><ul><li>Name : Ben Sams</li><li>
Email : ben.sams@dsit.gov.uk</li></ul><h4 class="jobSectionHeader"><b>
Recruitment team</b></h4><ul><li>
Email : ben.sams@dsit.gov.uk</li></ul></div></div><div><h3 class="jobSectionHeader"><b>
Further information</b></h3><div><div>
Appointment to the Civil Service is governed by the Civil Service Commissions Recruitment Principles. If you feel that your application has not been treated in accordance with the recruitment principles, and wish to make a complaint, then you should contact in the first instance dsitresourcing.GRS@cabinetoffice.gov.uk. If you are not satisfied with the response that you receive, then you can contact the Civil Service Commission. For further information on bringing a complaint to the Civil Service Commission please visit their web pages at: https://civilservicecommission.independent.gov.uk/contact-us/</div></div></div></div></div><div></div>

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