technical staff engineer

C-Serv

<div><p>Most engineers get to use large language models. You will get to build the systems that run them in production, at scale, under real latency and reliability constraints, for one of the most recognised names in application security and traffic management.</p><p>
Our client is expanding its AI Core group and is looking for a Senior or Staff AI &amp; ML Engineer in the UK. This is hands-on, build-focused work at the centre of how the business turns generative AI from a prototype into a dependable product. You will design and ship multi-agent systems, retrieval-augmented generation pipelines, anomaly detection, fine-tuned models, and the real-time inference layer that serves them.</p><p>
If you want ownership over a serving stack rather than a single notebook, and you want your work measured by what holds up in production rather than what demos well, this is the seat.</p>
What you will own<ul><li>Building and shipping generative AI features end to end: from model selection and fine-tuning through to the inference path that serves them.</li><li>Designing multi-agent and RAG architectures, and anomaly detection, that are accurate, observable, and cost-aware at scale.</li><li>Owning the real-time inference layer on Triton and TensorRT, optimising for latency, throughput, and GPU efficiency.</li><li>Standing up the surrounding microservices in Python and FastAPI, containerised and orchestrated for reliability.</li><li>Setting the technical bar: making architecture decisions, raising code quality, and mentoring engineers around you.</li><li>Partnering with research and product teams to take ideas from experiment to a service customers depend on.</li></ul><b><br>
Requirements</b><ul><li><br>
5 to 10 years of relevant experience, including a proven track record as a technical lead who mentors others.</li><li>Strong, current Python engineering, with production services built and shipped (FastAPI or similar).</li><li>Genuine hands-on GenAI depth: LLMs, RAG, agentic or multi-agent workflows, anomaly detection, and fine-tuning (for example LoRA or PEFT).</li><li>Real-time inference experience with NVIDIA Triton and TensorRT, with real attention to latency, throughput, and cost.</li><li>A microservices mindset, with services built in Python and FastAPI, containerised and orchestrated for reliability.</li><li>Solid grounding in Docker and Kubernetes, and large-scale distributed systems on a major cloud.</li><li>Right to work in the UK. We welcome applications from all backgrounds and are committed to equal opportunity.</li></ul>
Nice to have<ul><li>Experience with vLLM or other serving frameworks alongside Triton and TensorRT.</li><li>Experience in security, networking, or other high-reliability domains.</li><li>Big-data tooling (Spark, Databricks, Snowflake) and modern MLOps practice.</li></ul>
What you will get<ul><li>A genuine build mandate inside an established AI Core team, not a proof-of-concept that never ships.</li><li>Fully remote working anywhere in the UK, built around delivery rather than presence.</li><li>Competitive salary, strong benefits, and clear scope to grow into staff and principal-level influence.</li><li>The backing of C-Serv throughout: a delivery partner that runs a real quality filter and looks after its people, end to end.</li></ul><b><br>
Benefits</b><ul><li><br>
Fully remote working anywhere in the UK, built around delivery rather than presence.</li><li>A clear path to grow into staff and principal-level technical influence.</li><li>Full support from C-Serv across the hiring process and beyond, with full-cycle accountability.</li><li>A values-led, woman-owned delivery partner built on empathy, integrity, collaboration, and growth.</li></ul></div>

AI/ML Engineer

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>

Lead Cloud Platform Engineer- i.AI

ONNEC Group

<div><p>ONNEC is now the UK&rsquo;s largest pure play physical IT infrastructure, network, and connectivity companies, with expertise throughout the data centre, office, and smart building environments.</p>
<p>We are recruiting for an experienced <b>Focal Network Engineer</b> to join our team in providing technical engineering duties on our projects and support contracts. The <b>Focal Network Engineer</b> will have a hybrid role in supporting managed service customers and undertaking project work.</p>
<p><b>Candidates must aspire to achieve a minimum level accreditation of Cisco CCNP Routing &amp; Switching (or other Enterprise vendor) and have demonstrable experience in technical design, configuration and fault finding.</b></p>
<p><b>Required Knowledge / Experience:
</b></p><ul><li>Experience of Enterprise networking deployment across Routing, Switching, Wireless and Security hardware platforms.</li>
<li>Good working understanding of Network Server builds to deliver DHCP/DNS/AD services across both physical and virtual machines.</li>
<li>Appreciation of the Azure global cloud computing platform</li>
<li>VRF/VLAN/IP Configuration</li>
<li>PRTG configuration and monitoring experience</li>
<li>Firewall policies, access lists and rule sets creation and modification.</li>
<li>Capable of converting high level network designs to low level network designs.</li>
<li>Vendor licensing registration/generation.</li>
<li>Maintains personal knowledge of vendor technology developments.</li>
<li>Familiarisation with Cisco suite of networking products including Nexus, Catalyst, Meraki, DNA and Prime</li>
<li>Essential minimum level accreditation of CCNP Routing &amp; Switching.</li>
<li>Clear and concise report writing.</li>
</ul>
<p><b><i>Additional duties:</i></b></p>
<ul><li>On-call standby rota to support 24x7 customers</li>
<li>Evaluation of supported estate for End of Life and End of Service notifications</li>
<li>Monitor and communicate technical bulletins for vendors especially around security.</li>
<li>Support requirements for out of hours customer BAU activities including PPM and Black Building tests.</li>
<li>Halo Service Desk configuration and monitoring</li>
<li>Proactive regular review and update of networking credentials for the support base</li>
</ul>
<p><b><i>Desirable</i></b></p>
<ul><li>Understand third party IP applications/concepts i.e., BMS, Lighting Controls, CCTV etc.</li>
<li>Cisco Software Defined Networking (DNA) configuration and deployment experience</li>
</ul>
<p>If you feel you have the required skills and experience, click <b>apply </b>now to be considered as our <b>Focal Network Engineer </b>&ndash; we&rsquo;d love to hear from you!</p></div>

Focal Network Engineer

Worldpay

<div><p><b>Ready to take your career global?</b></p><p>
Make your mark at one of the biggest names in payments.</p><p>
We are seeking an experienced <b>Senior ML Software Engineer</b> to join our Data Science Enablement team. You will be the primary software engineering expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production. Your focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to our shared ML platform. You will work closely with cross-functional collaborators&mdash;including ML research engineers, product managers, and platform engineers&mdash;to deliver scalable, reliable, and low-latency ML solutions.</p><p>
In addition to technical expertise, this job requires strong collaboration skills.</p><p></p><p><b>
What you&rsquo;ll own</b></p><p>
Feature Development &amp; Delivery:</p><ul><li>
Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.</li></ul><p>
Technical Ownership and Stewardship:</p><ul><li>
Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.</li><li>
End-to-end technical stewardship of ML products, ensuring ongoing reliability and performance.</li></ul><p>
Contribute to ML platform:</p><ul><li>
Contribute to the evolution of the shared ML platform alongside other engineers to drive best practices and shared tooling across all products.</li></ul><p>
Operational Excellence:</p><ul><li>
Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards.</li><li>
Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge.</li></ul><p>
Continuous Improvement:</p><ul><li>
Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.</li></ul><p>
Release Management:</p><ul><li>
Oversee pre-release testing, coordinate releases and ensure smooth enablement of new features.</li></ul><p>
Leadership:</p><ul><li>
Provide technical guidance and support to other engineers and data scientists to solve complex technical challenges.</li><li>
Mentor and coach other engineers, supporting their professional growth.</li><li>
Foster a culture of collaboration, continuous improvement, and knowledge sharing.</li></ul><p>
Act Like an Owner:</p><ul><li>
Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.</li><li>
Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.</li></ul><p></p><p><b>
What you&rsquo;ll bring</b></p><ul><li>
5+ years as an ML-focused software engineer, ML Engineer, MLOps Engineer, or similar, with hands-on production experience</li><li>
Proven expertise with ML model deployment, API design, and integration into production environments</li><li>
Strong Python programming and relevant ML/data libraries</li><li>
Experience with containerization, orchestration, and AWS cloud services</li><li>
Building and operating CI/CD pipelines</li><li>
Monitoring, troubleshooting, and optimizing production ML systems</li><li>
Pre-release testing and release management</li><li>
Demonstrated ability to work independently, navigate ambiguity, and deliver results</li><li>
Excellent communication skills and ability to collaborate both within engineering organizations and on cross-functional teams</li><li>
Experience with OpenAPI, FastAPI, or similar</li></ul><p></p><p><b>
It&rsquo;s a bonus if you have</b></p><ul><li>
Experience with MLFlow, model versioning, and storage</li><li>
Familiarity with Databricks or similar platforms</li><li>
Experience supporting high-volume, real-time data products</li><li>
Automated testing and validation frameworks</li><li>
Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB</li><li>
Experience with Terraform Cloud</li><li>
Experience in large companies, mature engineering teams, and/or highly regulated industries</li><li>
AI-assisted coding experience (e.g. GitHub Copilot)</li></ul><p></p><p><b>
Why Join Us?</b></p><ul><li>
Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company&rsquo;s strategy. Your work will directly influence the reliability, scalability, and evolution of critical production systems.</li><li>
Autonomy: Take end-to-end technical ownership of your product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.</li><li>
Collaboration: Join a cross-functional, high-performing team where your expertise is valued and your contributions make a real difference.</li></ul><p></p><p><b>
About the team</b></p><p>
Our inclusive and global teams win together every day. We&rsquo;re proud to have the best minds in the industry, whom you can learn from as you grow your career. The people, the energy, and the connections are unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that transcend borders.</p><p></p><p><b>
What makes a Globalpayer?</b></p><p>
Globalpayers think like a client, act like an owner, and win as one team. We&rsquo;re curious and innovative &ndash; always finding better ways to deliver impact. We empower each other to make decisions, and our passion drives excellence in everything we set out to do.</p><p></p><p>
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.</p><p></p><p>
#LI-AB1</p></div>

Senior ML Software Engineer

Bluefish AI

<div><p><b>About the Position</b></p>
<p>
As a Staff AI Engineer, you&rsquo;ll serve as a technical leader for our LLM-powered products at the forefront of marketing and advertising technologies. You&rsquo;ll own critical architectural decisions, set quality bars, and lead multi‑team initiatives that drive measurable outcomes.</p>
<p>
As our Staff AI Engineer, you will lead the vision and execution of our data platform and LLM-powered products. You&rsquo;ll own critical architectural decisions across data pipelines, model integration, model deployment and evals: turning high-level product and business requirements into robust, scalable data products that drive measurable outcomes for our Fortune 500 customers. This role spans data backend and ML engineering: from the reliability and cost efficiency of our pipelines to the outcome and performance of LLM-enabled features. You&rsquo;ll raise the bar for data literacy across the department, craft and collaboration.</p>
<p>
You&rsquo;ll be accountable for the health, cost, and evolution of key data product and data platforms, partnering closely with full-stack engineers, product, design, and devops to deliver outcomes our customers can trust.</p>
<p>
This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications.</p>
<p>
The role is linked with our location in London, but we are flexible about hybrid or remote work in The United Kingdom.</p>
<p><b>
What You&rsquo;ll Be Doing</b></p>
<ul>
<li>Lead end-to-end architecture for data platforms and pipelines: scraping, data extraction, transformation, storage, serving, and ML/LLM integration, balancing performance, reliability, security, and cost.</li>
<li>Incrementally scale pipelines and systems: design safe rollout plans and north star data-quality metrics to handle customer and traffic growth without impacting production.</li>
<li>Translate business goals into actionable data products: assess high-level requirements, carve clear problem spaces, draft crisp RFCs, and sequence work into deliverable projects for the team.</li>
<li>Establish and enforce engineering standards: testing strategy, evals, observability, data contracts, and security practices across services. Think through short-term and long-term goals to come up with fast go-to-market products, while planning ahead for productization.</li>
<li>Up‑level the org: lead architecture reviews, codify patterns, mentor Senior Engineers, and multiply impact through documentation, code reviews, and pairing.</li>
<li>Startup‑ready: flexible, comfortable with ambiguity and constant change; proactive about process, documentation, and reliability without over‑engineering.</li>
<li>Lead the collaboration and define how AI engineers work cross-functionally with software engineers, devops, product managers and designers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation.</li>
<li>Ship meaningful experiments: prototype data/ML capabilities, evaluate feasibility and ROI, and make pragmatic calls on productionalizing with an eye on operating costs and risk.</li>
</ul>
<p><b>Qualifications</b></p>
<ul>
<li>8+ years building and operating production data systems, including leading cross-cutting architectural changes, and deploying LLMs in real‑world scenarios at scale.</li>
<li>Deep experience Python and modern service architectures; strong system design and data modeling fundamentals.</li>
<li>Extensive experience with training and deploying machine learning models, particularly within the NLP/LLM domain. Proficiency in Python. Familiarity with infrastructure as code, CI/CD, and cloud infrastructure.</li>
<li>Fluency in operational maturity: SLOs, on‑call/incident practices, and observability.</li>
<li>Strong analytical and problem-solving abilities, with a bias towards action and outcomes. Experience with data preprocessing, feature engineering, and model evaluation techniques.</li>
<li>Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team.</li></ul><br>
<p></p>
<p><b>
About Bluefish:</b></p>
<p>
Bluefish believes that AI represents the next major chapter of the internet &ndash; and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online &ndash; and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.</p>
<p>
The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York.</p>
<p><b>
Why Bluefish &amp; Our Values:</b></p>
<ul>
<li>Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI</li>
<li>Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry</li>
<li>Join an experienced high-performing team where you will have immediate ownership and impact</li>
<li>Experience a true meritocracy with significant career growth upside as the business scales</li>
</ul>
<p><b>Our Values:</b></p>
<ul>
<li>Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren&rsquo;t afraid to roll up your sleeves in a fast-paced, evolving environment.</li>
<li>Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.</li>
<li>Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.</li>
<li>Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.</li>
<li>Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.</li>
<li>Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.</li></ul></div>

Staff AI Engineer

LiveKit

<div><h2 class="jobSectionHeader"><b>About LiveKit</b></h2><p>
LiveKit is building the infrastructure layer for the agentic era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe AI agents in production. Founded in 2021, LiveKit powers voice and agentic AI applications for OpenAI, Salesforce, Spotify, Meta, and tens of thousands of other developers, collectively facilitating billions of calls each year.</p><p></p><h2 class="jobSectionHeader"><b>
About This Role</b></h2><p>
LiveKit is seeking a Forward Deployed Engineer (FDE) to work directly with customers building real-time communication and voice AI applications on the LiveKit platform.</p><p>
This role sits at the intersection of engineering, architecture, and customer implementation. Forward Deployed Engineers partner closely with customers to design systems, prototype solutions, and solve complex technical challenges as teams move from experimentation to production.</p><p>
You'll work alongside customers' engineering teams to help them successfully deploy and scale applications built on LiveKit &mdash; designing architectures, building integrations, debugging production issues, and developing reference implementations that demonstrate best practices.</p><p>
This is an ideal role for engineers who enjoy solving real-world problems in real customer environments. You'll collaborate closely with Product and Engineering to surface insights from customer implementations and help shape the future of the LiveKit platform.</p><p>
Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit.</p><p></p><h2 class="jobSectionHeader"><b>
You'll Thrive Here If You:</b></h2><ul><li><p>
are obsessed with helping developers succeed</p></li><li><p>
are known as the go-to person for solving tricky technical issues</p></li><li><p>
work hard and can move fast without sacrificing quality</p></li><li><p>
care deeply about polish, detail, and clear communication</p></li><li><p>
are a fast learner, frequently picking up new tools, systems, and skills</p></li></ul><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li><p>
Work directly (remotely or on-site when necessary) with customer engineering teams to design and implement real-time applications built on LiveKit</p></li><li><p>
Design scalable architectures for voice AI, real-time media, and developer platform use cases</p></li><li><p>
Build prototype integrations, reference implementations, and sample applications to accelerate customer development</p></li><li><p>
Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems</p></li><li><p>
Debug and troubleshoot complex technical issues in production environments</p></li><li><p>
Lead technical workshops and architecture sessions with developers and product teams</p></li><li><p>
Translate customer needs into technical insights that inform product and platform development</p></li><li><p>
Partner with Product and Engineering to improve developer experience, documentation, and tooling</p></li><li><p>
Contribute code, examples, or improvements to LiveKit's open-source ecosystem when helpful</p></li><li><p>
Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit</p></li></ul><h2 class="jobSectionHeader"><b>
Who You Are</b></h2><ul><li><p>
Strong engineering background with 5+ years of experience in backend or infrastructure engineering</p></li><li><p>
Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++</p></li><li><p>
Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure</p></li><li><p>
Experience building or integrating developer platforms or real-time systems</p></li><li><p>
Able to quickly understand complex systems and debug issues in real-world environments</p></li><li><p>
Strong communicator who can collaborate directly with customer engineering teams and internal product teams</p></li><li><p>
Comfortable operating in fast-paced, low-process environments where ownership and initiative matter</p></li><li><p>
Excited to work hands-on with customers solving complex technical implementation challenges</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li><p>
Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure</p></li><li><p>
Familiarity with voice AI, conversational agents, or AI infrastructure</p></li><li><p>
Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer</p></li><li><p>
Experience contributing to open-source projects or developer ecosystems</p></li><li><p>
Previous experience building with or integrating LiveKit</p></li></ul><h2 class="jobSectionHeader"><b>
Our Commitment to You</b></h2><ul><li><p>
An opportunity to build something truly impactful to the world</p></li><li><p>
Contribute to open source alongside world-class engineers</p></li><li><p>
Competitive salary and equity package</p></li><li><p>
Health, dental, and vision benefits</p></li><li><p>
Flexible vacation policy</p></li></ul><p></p><p><i>
LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law. If you require a reasonable accommodation during the application or interview process, please contact recruiting@livekit.io.</i></p><p>
Compensation Range: &pound;126K - &pound;185K</p></div>

Forward Deployed Engineer

Dorchester Collection

<div><div><h2 class="jobSectionHeader"><b>Your future, our legacy</b></h2>
<h3 class="jobSectionHeader"><b>Hotel</b></h3>
<p>Dorchester Collection</p>
<h3 class="jobSectionHeader"><b>Division &amp; Department</b></h3>
<p>Corporate Office - Information Technology</p>
<h3 class="jobSectionHeader"><b>Job Title</b></h3>
<p>Cyber Security Engineer</p>
<h3 class="jobSectionHeader"><b>Contract Type</b></h3>
<p>Permanent</p>
<h3 class="jobSectionHeader"><b>Status</b></h3>
<p>Full time</p>
<h3 class="jobSectionHeader"><b>Position Overview</b></h3>
<p></p><div><p>We care about your career and are known for having the absolute best people in the industry. When you join us as a Cyber Security Engineer you start a unique opportunity to become celebrated as the very best in your field. You&rsquo;ll learn not only from your fellow Legends, but also through our award-winning learning academy, so that you can achieve the highest standards of craft, service, and leadership and become a legend in your own story.</p>
<p>The Cyber Security Engineer is a hands-on technical role responsible for shaping, driving, and continuously improving the organisation&rsquo;s information and cyber security posture across on‑premises infrastructure and Microsoft Azure cloud environments. The role focuses on owning and delivering remediation from security assessments, penetration testing, and vulnerability management, while acting as the technical subject matter expert for cyber security across the business.</p>
<p>This position is suited to candidates with a strong infrastructure or IT system administration/support background, with proven experience securing hybrid environments and responding to real‑world threats</p>
</div><p></p><h3 class="jobSectionHeader"><b>What you'll get</b></h3>
<p></p><div><p>As a Cyber Security Engineer at Dorchester Collection here are just some of the great benefits you will receive:</p>
<ul><li>Complimentary stays with breakfast included in all 10 Dorchester Collection hotels</li>
<li>50% off at bars and restaurants within all of our Dorchester Collection hotels</li>
<li>&pound;750 Refer a friend bonus scheme</li>
<li>World class development opportunities</li>
<li>Social events throughout the year</li>
<li>Workday Lunches in the form of a prepaid contactless card</li>
<li>Season ticket loan and cycle to work scheme</li>
<li>Exclusive Access to a discount platform featuring 1000s of retailers</li>
<li>Subsided access to gyms, fitness classes and wellness experiences</li>
<li>Competitive retirement scheme</li>
</ul></div><p></p><h3 class="jobSectionHeader"><b>What you'll do</b></h3>
<p></p><div><ul><li>Cyber Security Engineering &amp; Operations
<ul><li>Own and resolve cyber security&ndash;related support tickets, investigations, and technical issues.</li>
<li>Triaging, investigating, and responding to threats via the global XDR platform.</li>
</ul></li><li>Act as an escalation point for complex or high-risk security events.
<br>
<ul><li>Vulnerability Management &amp; Remediation</li>
<li>Own end-to-end remediation of findings from penetration tests, vulnerability scanning, and internal assessments.</li>
<li>Work hands-on with infrastructure and regional teams to remediate vulnerabilities across servers, endpoints, networks, and cloud platforms.</li>
<li>Track and drive remediation activity to ensure timely closure of security risks.</li>
</ul></li><li>Security Assessments &amp; Posture
<ul><li>Plan and execute internal security assessments and technical reviews across infrastructure and sites.</li>
<li>Identify security gaps, prioritise risk, and define pragmatic remediation plans.</li>
<li>Continuously improve technical security controls and configuration standards.</li>
</ul></li><li>Policy, Standards &amp; Process
<ul><li>Establish, maintain, and improve cyber security policies, standards, and supporting processes.</li>
<li>Ensure security controls align with best practice while remaining workable in operational environments.</li>
<li>Support audits and information security reviews through clear documentation and evidence.</li>
</ul></li><li>Projects &amp; Change
<ul><li>Act as a security point of contact during the design and implementation of IT and business projects.</li>
<li>Review architectures, designs, and deployments to ensure security requirements are met.</li>
</ul></li><li>Regional Coordination &amp; Enablement
<ul><li>Coordinate and delegate security activities across regional IT teams.</li>
<li>Provide technical guidance to ensure consistent application of security standards globally.</li>
<li>Build effective working relationships with regional stakeholders.</li>
</ul></li></ul><p>The items shared are the essence of a day in the life of a Cyber Security Engineer but we&rsquo;ll make sure you are provided with specifics on how we care for our company.</p>
<p>The hours of operation for this role are Monday to Friday 9:00am to 5:30pm, with a core requirement of on-call support outside of these working hours. We are based in our corporate office in Knightsbridge.</p>
</div><p></p><h3 class="jobSectionHeader"><b>What you'll bring</b></h3>
<p></p><div><p>Essential Skills:</p>
<ul><li>You&rsquo;ll bring your unique personality and passion to the role and the team</li>
<li>Strong background in IT infrastructure and IT systems engineering.</li>
<li>Hands-on experience remediating security vulnerabilities.</li>
<li>Experience with penetration test and vulnerability management outputs.</li>
<li>Strong experience securing Active Directory on premise and Azure cloud environments.</li>
<li>Understanding of identity, access management, patching, and monitoring.</li>
<li>English is the primary language used in our office. You can comfortably communicate in this language, both verbally and written</li>
</ul><p>Desirable Skills:</p>
<ul><li>Experience supporting ISO 27001, CIS or similar security and audit frameworks.</li>
<li>Security certifications such as SSCP, CISSP, GIAC, or Microsoft Security certifications.</li>
<li>Hands‑on experience managing or supporting next-gen firewall (Palo Alto preferred).</li>
<li>Experience working with XDR platforms, including alert triage, investigation, and response.</li>
<li>Experience operating within hybrid on‑premises and cloud environments at enterprise scale.</li>
</ul></div></div><p></p><div><h2 class="jobSectionHeader"><b>Position location</b></h2>
<h3 class="jobSectionHeader"><b>Job Location</b></h3>
<p>United Kingdom</p>
<h3 class="jobSectionHeader"><b>Location</b></h3>
<p></p><div>3rd Floor, 1 Knightsbridge SW1X 7LX London</div></div></div><p></p>

Cyber Security Engineer

Explore 322+ Technical staff engineer in London this July. Find roles across top companies and apply now to boost your career.