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PROXIMIE

<div>Proximie is on a mission to improve healthcare by transforming the world&rsquo;s operating rooms into connected ecosystems of people, devices, and data.<div>
Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical events &ndash; improving quality of data outputs. The result: ORs are optimised like never before &ndash; with predictive analytics and automated notifications ensuring patients and staff are in the right place at the right time.
Once practitioners are in the OR, our Surgical Suite enables real-time remote access and creates a secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce &ndash; improving outcomes and saving lives.
Proximie was commercialised in 2019 and is available in over 500 facilities globally.
Check out our Founder and CEO Nadine&rsquo;s Origins Story here: https://www.proximie.com/about-us/
Position Overview
As Proximie continues to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drives better insights and decisions making, using your deep technical expertise and real-world experience you will be instrumental in developing and deploying machine learning solutions that improve clinical outcomes, drive productivity and support Proximie&rsquo;s continuing evolution into the unrivalled champion of the intelligent operating room.
You will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You&rsquo;ll harness the power of Proximie&rsquo;s deep data lakes and apply cutting-edge generative techniques to solve real-world challenges for Proximie&rsquo;s customers. You&rsquo;ll also lead the development of intelligent systems that can automatically detect and capture key events in the operating room, designing robust solutions that work across diverse and unpredictable data distributions, tackling challenges like identifying rare events buried in hours of surgical video.
This role demands creativity, precision, and a deep understanding of real-world machine learning at scale. If you&rsquo;re excited by complex problems with life-changing impact and want to build tech that operates in the most critical environments, we&rsquo;d love to hear from you.
Responsibilities<ul><li>
Collaborate with product, engineering and commercial teams to develop and deploy AI models for real world application in hospitals all over the world.</li><li>
Design, train and validate machine learning mono and multi-modal models using state of the art approaches.</li><li>
Develop models and derived tools robust to the heterogeneity of operating room environments. With customers all over the world operating rooms are often different which creates unique opportunities for problem solving and model design.</li><li>
Own the full model lifecycle including but not limited to data curation, model implementation, training, validation, deployment, and maintenance.</li><li>
Development within Proximie environment to enable dynamic model training and performance evaluation while integrating with Proximie&rsquo;s data lakes.</li><li>
Document solutions and contribute to internal knowledge sharing and capability building.</li></ul><div>
Requirements<ul><li>
PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered but PhD preferred.</li><li>
Minimum of 4 years&rsquo; hands-on experience in industry, developing and deploying AI solutions which solve real-world problems.</li><li>
Expertise in developing, training and fine-tuning machine learning and multi-modal models. Experience in training models with data originating from heterogeneous distributions is highly desirable.</li><li>
Deep knowledge of a variety of traditional machine learning, deep learning and generative AI methods for both supervised, self-supervised and unsupervised learning with an emphasis on vision.</li><li>
Proficiency with deep learning frameworks such as TensorFlow/PyTorch.</li><li>
Proficiency with Python and strong software development background.</li><li>
Knowledge and experience with AWS is highly desirable.</li><li>
Experience with MLOps practices, including versioning, deployment, and monitoring of models highly desirable.</li><li>
Ability to communicate complex technical concepts clearly to non-technical stakeholders.</li></ul>
Why Work for Proximie?<ul><li>
You will be encouraged to grow in your role, take ownership and gain responsibilities. Proximie&rsquo;s values are Ownership, Deliver Results, Build Trust and Go Beyond.</li><li>
Generous annual leave.</li><li>
Two &ldquo;well-being&rdquo; days per year plus the day off for your birthday.</li><li>
&ldquo;Summer Fridays&rdquo; &ndash; early office closing on Fridays during summer months.</li><li>
Annual bonus programme &ndash; based on individual contribution.</li><li>
To support your professional growth, all permanent employees will have access to an annual stipend of &pound;1,000 to assist with personal development activities.</li><li>
Flexible working hours - we trust our people to manage their time and to focus on wider results.</li><li>
A flat organizational structure where every opinion matters, ideas are cultivated, and innovation is encouraged.</li><li>
Proximie is a truly global company with teams across the UK, Europe, United States and the Middle East with that you will have opportunities to see the world.</li></ul>
Proximie is an equal opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.</div></div></div>

Senior Machine Learning Engineer

Talan

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
As our AI practice scales, we are seeking an experienced AI Architect / Engineer to act as the senior technical authority shaping how we design and deliver next-generation AI solutions. This is a role for someone who has moved beyond building individual models to architecting entire systems: agentic platforms, LLM-powered applications, and the production infrastructure that makes them dependable at enterprise scale.
You will sit at the intersection of strategy and delivery, operating across multiple client engagements simultaneously. In the early phases you will shape solutions, validate technical approaches, and translate ambiguous business problems into robust, deployable architectures. As engagements mature, you will provide the technical oversight that keeps delivery teams aligned to the original design intent. Your influence will be felt in pre-sales conversations, solution blueprints, and the technical standards that define how our practice builds.
This is a hands on architectural role, not a purely advisory one. We expect you to remain close to the code, to prototype where it accelerates a decision, and to set a credible technical example for the engineers and data scientists you guide.
Required skills &amp; experience:<ul><li>
Lead end-to-end solution architecture for AI and LLM-based systems, spanning data, integration, infrastructure, and deployment.</li><li>
Design agentic architectures and multi-agent orchestration patterns, defining how LLMs, tools, APIs, and retrieval layers interact reliably.</li><li>
Shape early-stage engagements (scoping, solutioning, estimation, and pre-sales) turning client ambition into deliverable technical plans.</li><li>
Provide technical validation and quality oversight across several concurrent projects, mitigating risk before it reaches delivery.</li><li>
Define LLM integration and prompting strategies, including RAG, fine-tuning, evaluation, and guardrailing approaches.</li><li>
Establish MLOps and LLMOps practices that ensure solutions are observable, testable, and production ready.</li><li>
Set architectural standards, reusable patterns, and reference implementations that raise the quality bar across the practice.</li><li>
Partner with Responsible AI colleagues to embed safety, security, and governance into solution designs from the outset.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in AI architecture or AI engineering, ideally 10+, with a track record of production deployments.</li><li>
Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration.</li><li>
Strong cloud engineering experience.</li><li>
Proven MLOps / LLMOps capability &mdash; CI/CD for models, monitoring, evaluation, and cost optimisation.</li><li>
Hands-on software engineering background (Python and modern tooling) underpinning your architectural decisions.</li><li>
Comfort managing multiple engagements at once, with pragmatic judgement on trade-offs and delivery risk.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Experience in consulting, professional services, or pre-sales environments.</li><li>
Exposure to enterprise-scale, regulated AI deployments (financial services, public sector, healthcare).</li><li>
Familiarity with vector databases, knowledge graphs, and advanced retrieval techniques.</li><li>
Relevant cloud or AI certifications.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul> 
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
You will be a founding technical voice in a practice that is investing decisively in AI. The work is varied, intellectually demanding, and commercially significant, you will shape solutions that reach production, not slideware. You will have the autonomy to define how we build, the support of a collaborative multidisciplinary team, and a clear platform to grow into a practice-leading technical figure.</div>

AI Architect / Engineer (Agentic AI & LLM Architecture)

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
We are hiring a Lead Data Scientist to drive the technical delivery of our most demanding AI engagements and to lead a growing team of data scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine both.
You will own delivery from problem framing through to deployment, ensuring the work is technically sound, commercially valuable, and aligned to the architectural vision. As a lead, you will mentor the team, raise engineering and modelling standards, and act as a trusted technical partner in client conversations. You will help clients see not just what is possible, but what is practical and worth doing.
This is a delivery-focused leadership role with genuine breadth: one week you might be tuning a forecasting model, the next designing an agentic workflow or evaluating an LLM pipeline for a client pilot.
Required skills &amp; experience:<ul><li>
Lead end-to-end delivery of data science and AI projects, owning technical quality and outcomes.</li><li>
Combine classical ML (regression, classification, forecasting, optimisation) with modern GenAI, LLM, and agent-based approaches as the problem demands.</li><li>
Mentor and develop data scientists, AI engineers, and junior consultants, growing the team's capability.</li><li>
Translate business problems into well-scoped analytical and AI solutions and communicate results to non-technical stakeholders.</li><li>
Ensure best practice across the AI lifecycle &mdash; experimentation, evaluation, testing, deployment, and monitoring.</li><li>
Act as the bridge between architecture and delivery, ensuring implementation stays faithful to design.</li><li>
Support pre-sales and client discussions with credible technical input and realistic estimation.</li><li>
Champion reproducibility, model governance, and responsible practice in everyday delivery.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in data science or AI delivery, including hands-on leadership of technical teams or workstreams.</li><li>
Strong foundations in machine learning and statistics, with demonstrable production experience.</li><li>
Practical experience with LLMs and generative AI &mdash; prompting, RAG, fine-tuning, and evaluation.</li><li>
Exposure to AI agents and orchestration frameworks, and an appetite to deepen it.</li><li>
Proficiency in Python and the modern data / ML stack; sound data engineering instincts.</li><li>
Excellent communication and stakeholder skills, ideally in client-facing or consulting settings.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Familiarity with the Azure AI ecosystem (Azure ML, Azure OpenAI, Databricks / Fabric).</li><li>
Experience supporting business development or pre-sales.</li><li>
Domain depth in a regulated or data-rich industry.</li><li>
Contributions to open source, publications, or a visible professional profile.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul>
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
You will lead substantive, end-to-end AI work in a practice that is scaling fast and backing its people to grow with it. You will shape how a team works, influence how clients adopt AI, and keep your own skills at the frontier, bridging proven data science with the most current GenAI and agentic techniques. It is an opportunity to lead, deliver, and keep building.</div>

Lead Data Scientist (Classical ML, LLMs & AI Agents)

Driftrock Limited

<div>Driftrock is hiring an Elixir Software Engineer to join our product team and help build the marketing technology that powers vehicle sales for some of the world's biggest car brands.
Quick facts<ul><li>
Team: Engineering</li><li>
Reports to: Engineering Team Lead</li><li>
Location: Remote, UK or abroad, with a few hours of daily UK overlap</li><li>
Contract: Full time, permanent</li><li>
Salary: &pound;45,000 to &pound;60,000, plus share options</li><li>
Start date: As soon as we find the right person</li></ul>
Why this role exists
Driftrock's product runs on a pragmatic Elixir and Phoenix LiveView stack, solving real marketing challenges for our B2B customers. As more of the world's biggest car brands come on board, we're growing our engineering team and the volume of data we process for them. Right now we're building lead qualification across communication channels and bringing it together in our Single Customer View, while optimising our event-driven architecture for growing workloads.
You'll join a small, high-discipline squad, ship to production from your first weeks, and take on more scope and independence as you go, with real room to grow your craft and your career with us. We'll invest in your development, and you'll be working alongside engineers who care deeply about how they build and will help you raise your game.
What you'll own
You'll own the delivery of features within your squad, shipping well-tested, production-ready Elixir that moves our product and our customers' results forward, and growing your scope and independence as you go.
Your first 90 days<ul><li>
By day 30: you've found your feet in our codebase and domain, paired with the team, and shipped your first small changes to production.</li><li>
By day 60: you're picking up features independently, writing well-tested code and taking an active part in technical and product discussions.</li><li>
By day 90: you're a productive, trusted member of your squad, shipping regularly and starting to shape how we approach problems.</li></ul>
What you'll be doing<ul><li>
Build and ship product features in Elixir and Phoenix LiveView, from idea through to production, several times a week.</li><li>
Write well-tested, maintainable code using test-driven development, and take part in pairing and code reviews to keep quality high.</li><li>
Help shape the how and the why, bringing your own viewpoint to technical and product discussions and to our roadmap.</li><li>
Work across our event-driven architecture, building services that talk over APIs and RabbitMQ and handling a growing volume of customer data reliably.</li><li>
Use data and observability to understand how your changes behave in production and whether they're delivering value for customers.</li><li>
Grow your craft, learning from a team that cares about how it works, with a clear path toward senior over time.</li></ul>
What you'll bring<ul><li>
A solid foundation in computer science fundamentals, whether from a CS degree or equivalent demonstrable grounding in data structures, algorithms, complexity and how systems work under the hood.</li><li>
Some professional backend experience, ideally with Elixir or a similar language, and a genuine drive to deepen your Elixir skills.</li><li>
Some experience with web development, ideally server-rendered UI (we use LiveView with TailwindCSS).</li><li>
A habit of writing tested, maintainable code, and an interest in practices such as continuous delivery, TDD, pairing, code review and retrospectives.</li><li>
A data-driven mindset: you care whether the work genuinely helps customers, not just whether it ships.</li><li>
The judgement to use AI tools well: you use them to go faster, and your CS grounding means you can evaluate what they produce and steer away from suboptimal solutions rather than taking the output on faith.</li><li>
A desire to keep learning and growing, and to collaborate closely in a small team.</li></ul>
Bonus points<ul><li>
Production experience with Elixir, Erlang/OTP, Phoenix or LiveView.</li><li>
A background in Ruby or another functional language.</li><li>
Experience with event-driven systems, RabbitMQ, PostgreSQL or Redis.</li><li>
Exposure to Kubernetes or Google Cloud.</li></ul>
Not sure you tick every box? Please apply anyway.
Why Driftrock
Driftrock's mission is to become the world-leading automotive and e-mobility marketing software platform, and help accelerate the transition to clean transport.
We work with some of the world's biggest brands, including BMW, BYD, Mercedes-Benz and Volvo, and partner with the world's leading platforms, including Meta, Google, mobile.de and Auto Trader.
We've been building since 2013, and our work enables billions of euros in vehicle sales every year.
We're a close, fully remote team of 35 people across engineering, design, customer success, performance and commercial, spread across the world.
That means your work has a real, visible impact on our product, our culture and how we operate.
We're at the cutting edge of marketing technology, with plenty of room to unlock value from data and to help speed up the shift to electric vehicles.
How we work is shaped by four values:<ul><li>
We care: about our team, our customers, and the people who see the marketing messages that we power. Work isn't done until we can prove it's useful to both the consumer and the customer.</li><li>
Be that person: if something needs fixing, fix it. It's never someone else's problem.</li><li>
People-first: we put people at the core of everything, and never compromise security or privacy for results.</li><li>
Be better today than you were yesterday: we bake learning and continuous improvement into everything we do, for ourselves and our customers.</li></ul>
In practice, this looks like weekly Monday Showcases where we share what we're learning, regular retros, a budget to attend the courses and conferences that grow you, Donut coffee pairings to stay connected, and an annual company Summit that brings the whole global team together in person.
What's in it for you
We're remote-first and flexible about how and where you work, with co-working space available if you want it. Alongside your salary:<ul><li>
Share options in Driftrock, on founder-friendly, tax-efficient EMI terms, including the option to retain vested options after leaving (at board discretion).</li><li>
Comprehensive Vitality health cover: medical, dental, vision, hearing, mental-health support and therapy, cancer cover, a free Headspace subscription and Vitality rewards.</li><li>
24 to 28 days' holiday (24 + 1 extra each year, capped at 28), plus bank holidays.</li><li>
Pension contributions, life assurance (3x salary) and income protection.</li><li>
Electric car salary-sacrifice scheme (Octopus): save up to ~40%, with insurance, servicing and a charging perk included.</li><li>
Enhanced maternity and paternity leave.</li><li>
A learning budget for books, courses and conferences, plus time for personal goals.</li><li>
Perks and discounts via CharlieHR, and a BMW Group employee discount programme.</li></ul>
International team members:
We're remote-first and hire globally. While some UK-specific benefits are delivered differently abroad, we strive for genuine parity. Wherever you are, the standard package includes a comprehensive health plan, pension contributions, paid time off including local bank holidays, share options, enhanced maternity and paternity leave, a learning budget, and our flexible working culture. International team members are employed compliantly via an Employer of Record (Remote.com).
Our hiring process<ul><li>
A short intro call.</li><li>
A conversation with the hiring manager.</li><li>
A practical task based on real challenges, never unpaid spec work.</li><li>
A final conversation with the team.</li></ul>
Inclusion at Driftrock
Driftrock is an equal-opportunity employer. We welcome applicants of every background, identity and life experience, and we're building a team that reflects the people our marketing reaches. We don't make decisions based on age, disability, gender, gender identity, marital status, race or ethnicity, religion or belief, or sexual orientation. If you need any adjustments to the application or interview process to do your best, just let us know, and we're glad to help.
We will not be considering recruitment agencies for this role.
By applying for this job you give us permission to store your data on our secure applicant tracking system and to contact you about Driftrock job opportunities. We process your data for recruitment purposes only and keep it until this role is filled, after which we will delete it or, with your agreement, keep it for similar future roles for up to 12 months. See our privacy policy at driftrock.com/privacy-policy for how we comply with GDPR, including how to access, correct, delete or restrict the data we hold. You can lodge a complaint with the UK supervisory authority (the Information Commissioner's Office), or contact our DPO for any concerns.</div>

Elixir Software Engineer

Cognism

<div><div><h2 class="jobSectionHeader">WHO ARE WE</h2>

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.</div>
THE ROLE

The Senior Application Security Engineer is a key member of Cognism's Information Security Team, reporting into the Application &amp; Infrastructure Security Manager. Your mission is to embed security by design 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.

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.

This role is ideal for a senior IC who is technical, collaborative, and pragmatic, with the ability to influence engineering teams while driving hands on improvements to Cognism's secure SDLC.

KEY RESPONSIBILITIES

Security by Design &amp; Product Integration
<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>
Application Risk Assessment &amp; AI Security
<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>
Secure SDLC &amp; DevSecOps Enablement
<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>
Threat Modelling &amp; Architecture Support
<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>
Application Security Testing &amp; Engineering
<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>
Collaboration, Education &amp; Influence
<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>
CORE COMPETENCIES
<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>Risk-Based Prioritization: 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>Contextual Communication: Capacity to translate complex technical vulnerabilities into business-impact stories that resonate with non-technical stakeholders and product owners.</li>
<li>Collaborative Conflict Resolution: 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>Architectural Empathy: 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>
EDUCATION &amp; EXPERIENCE
<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">WHY COGNISM</h2>

At Cognism, we're not just building a company - we're building an inclusive community of brilliant, diverse people who support, challenge, and inspire each other every day. If you're looking for a place where your work truly makes an impact, you're in the right spot!

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.

Here's what we stand for:

 We Own the Outcome Together. 
 We Deeply Understand our Customers. 
 We Celebrate Impact Wherever It Comes From.

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!</div></div>

Senior Application Security Engineer

<div><div><h2 class="jobSectionHeader">WHO ARE WE</h2>

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.</div>
The Role

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. 


What success looks like

Within 12 months, you will have:
<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> 


What You'll Own

Security Strategy &amp; Engineering Integration
<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> 


Data &amp; AI Security
<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> 


Detection, Response &amp; SOC Partnership
<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> 


Team &amp; Culture 

<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> 


What We Need

Leadership &amp; influence
<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> 


Technical foundation
<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> 


Mindset
<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">WHY COGNISM</h2>

At Cognism, we're not just building a company - we're building an inclusive community of brilliant, diverse people who support, challenge, and inspire each other every day. If you're looking for a place where your work truly makes an impact, you're in the right spot!

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.

Here's what we stand for:

 We Own the Outcome Together. 
 We Deeply Understand our Customers. 
 We Celebrate Impact Wherever It Comes From.

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!</div></div>

Director, Security Engineering & Operations

<div>Driftrock is hiring a Senior Platform Engineer to take ownership of the infrastructure and security that let our engineering teams ship fast, safely and at scale as more of the world's biggest car brands come on board.
Quick facts<ul><li>
Team: Engineering</li><li>
Reports to: Head of Engineering</li><li>
Location: Remote, UK or abroad, with a few hours of daily UK overlap</li><li>
Contract: Full time, permanent</li><li>
Salary: &pound;65,000 to &pound;85,000, plus share options</li><li>
Start date: As soon as we find the right person</li></ul>
Why this role exists
Driftrock runs entirely on Google Cloud, and our product is growing quickly as more clients trust us with their marketing. As we scale, we're investing in a dedicated owner for our platform and security, so our engineering squads can keep shipping fast with strong foundations under them.
You'll define how we run, secure and evolve our platform, and build the tooling and secure defaults that let our product squads ship confidently without reinventing infrastructure every time. As Driftrock and our engineering org grow, this function is expected to grow too, and there's real room for the right person to shape it and eventually lead a small platform team.
Our platform is made of multiple Elixir services that talk to each other over APIs and RabbitMQ, store data in PostgreSQL and Redis, and run on Kubernetes (GKE) on Google Cloud. We manage our infrastructure in Terraform, run our own self-hosted Buildkite CI/CD, and use Oban for background jobs. We're a high-discipline engineering team that leans on Extreme Programming, test-driven development and pair programming to ship to production several times a day, with a strong data-driven and observability-first mindset.
What you'll own
You'll be accountable for the health, security and reliability of our cloud platform, and for the developer experience that sits on top of it, so that every engineer can build and ship with speed and confidence.
Your first 90 days<ul><li>
By day 30: you've mapped our current infrastructure, security posture and developer workflows, and you understand where the biggest opportunities and risks are.</li><li>
By day 60: you've shipped your first improvements and shared a prioritised roadmap for the platform, agreed with the engineering team.</li><li>
By day 90: you're delivering steadily against that roadmap, with early wins in place across security, reliability or developer experience, and clear ownership of the platform established.</li></ul>
What you'll be doing<ul><li>
Own and evolve our cloud infrastructure on Google Cloud, shaping how it's structured, secured and scaled so product teams can ship with confidence.</li><li>
Extend our infrastructure-as-code coverage so changes are repeatable, reviewable and safe, and our environments are cleanly separated.</li><li>
Build on our identity, access and secrets management, maturing our existing least-privilege access and secret rotation as the platform scales.</li><li>
Keep our security posture strong and audit-ready, maintaining our ISO 27001 certification and leading both certification and client security audits.</li><li>
Own our Kubernetes platform end to end, keeping clusters and workloads current, reliable and easy for teams to use.</li><li>
Own and improve our build and deployment pipelines on self-hosted Buildkite, along with the local tooling, containerisation and paved-road workflows that make our engineers faster.</li><li>
Run a steady cadence of upgrades and patching across the platform, along with DNS and certificate management, keeping everything current with minimal disruption.</li><li>
Improve infrastructure observability and visibility, so we understand cost, health and performance across our environments.</li></ul>
What you'll bring<ul><li>
Deep, hands-on experience running production workloads on a major cloud platform, ideally Google Cloud.</li><li>
A track record of operating Kubernetes in production, from cluster operations to sensible workload patterns.</li><li>
Fluency with infrastructure-as-code, ideally Terraform, and the instinct to codify everything.</li><li>
Strong cloud security fundamentals across identity and access, secrets, and network security.</li><li>
Experience owning CI/CD pipelines and improving how teams build and deploy.</li><li>
Comfortable being hands-on in our codebase: you're happy to write some Elixir, for example standing up an Oban LiveView dashboard or building internal tooling, or you have a background in a functional language or Ruby and are genuinely keen to learn Elixir.</li><li>
The seniority to own and shape a function: you set standards, make sound architecture decisions independently, and bring others with you.</li><li>
An enablement-first mindset, building guard rails and paved roads rather than gates and bottlenecks.</li></ul>
Bonus points<ul><li>
Production experience with Elixir, Erlang/OTP, Phoenix or LiveView, or a background in Ruby.</li><li>
Experience maintaining ISO 27001, SOC 2 or similar, and handling security audits with customers.</li><li>
Reliability practices such as service-level objectives and incident management.</li><li>
Awareness of cloud cost management.</li><li>
Experience mentoring engineers or growing a small team.</li></ul>
Not sure you tick every box? Please apply anyway.
Why Driftrock
Driftrock's mission is to become the world-leading automotive and e-mobility marketing software platform, and help accelerate the transition to clean transport.
We work with some of the world's biggest brands, including BMW, BYD, Mercedes-Benz and Volvo, and partner with the world's leading platforms, including Meta, Google, mobile.de and Auto Trader.
We've been building since 2013, and our work enables billions of euros in vehicle sales every year.
We're a close, fully remote team of 35 people across engineering, design, customer success, performance and commercial, spread across the world.
That means your work has a real, visible impact on our product, our culture and how we operate.
We're at the cutting edge of marketing technology, with plenty of room to unlock value from data and to help speed up the shift to electric vehicles.
How we work is shaped by four values:<ul><li>
We care: about our team, our customers, and the people who see the marketing messages that we power. Work isn't done until we can prove it's useful to both the consumer and the customer.</li><li>
Be that person: if something needs fixing, fix it. It's never someone else's problem.</li><li>
People-first: we put people at the core of everything, and never compromise security or privacy for results.</li><li>
Be better today than you were yesterday: we bake learning and continuous improvement into everything we do, for ourselves and our customers.</li></ul>
In practice, this looks like weekly Monday Showcases where we share what we're learning, regular retros, a budget to attend the courses and conferences that grow you, Donut coffee pairings to stay connected, and an annual company Summit that brings the whole global team together in person.
What's in it for you
We're remote-first and flexible about how and where you work, with co-working space available if you want it. Alongside your salary:<ul><li>
Share options in Driftrock, on founder-friendly, tax-efficient EMI terms, including the option to retain vested options after leaving (at board discretion).</li><li>
Comprehensive Vitality health cover: medical, dental, vision, hearing, mental-health support and therapy, cancer cover, a free Headspace subscription and Vitality rewards.</li><li>
24 to 28 days' holiday (24 + 1 extra each year, capped at 28), plus bank holidays.</li><li>
Pension contributions, life assurance (3x salary) and income protection.</li><li>
Electric car salary-sacrifice scheme (Octopus): save up to ~40%, with insurance, servicing and a charging perk included.</li><li>
Enhanced maternity and paternity leave.</li><li>
A learning budget for books, courses and conferences, plus time for personal goals.</li><li>
Perks and discounts via CharlieHR, and a BMW Group employee discount programme.</li></ul>
International team members:
We're remote-first and hire globally.While some UK-specific benefits are delivered differently abroad, we strive for genuine parity. Wherever you are, the standard package includes a comprehensive health plan, pension contributions, paid time off including local bank holidays, share options, enhanced maternity and paternity leave, a learning budget, and our flexible working culture. International team members are employed compliantly via an Employer of Record (Remote.com).
Our hiring process<ul><li>
A short intro call.</li><li>
A conversation with the hiring manager.</li><li>
A practical task based on real challenges, never unpaid spec work.</li><li>
A final conversation with the team.</li></ul>
Inclusion at Driftrock
Driftrock is an equal-opportunity employer. We welcome applicants of every background, identity and life experience, and we're building a team that reflects the people our marketing reaches. We don't make decisions based on age, disability, gender, gender identity, marital status, race or ethnicity, religion or belief, or sexual orientation. If you need any adjustments to the application or interview process to do your best, just let us know, and we're glad to help.
We will not be considering recruitment agencies for this role.
By applying for this job you give us permission to store your data on our secure applicant tracking system and to contact you about Driftrock job opportunities. We process your data for recruitment purposes only and keep it until this role is filled, after which we will delete it or, with your agreement, keep it for similar future roles for up to 12 months. See our privacy policy at driftrock.com/privacy-policy for how we comply with GDPR, including how to access, correct, delete or restrict the data we hold. You can lodge a complaint with the UK supervisory authority (the Information Commissioner's Office), or contact our DPO for any concerns.</div>

Senior Platform Engineer

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