ai platform engineer

Bloomberg

<div>
 Location
 <br/>
 <br/>
 London
 <br/>
 <br/>
 Business Area
 <br/>
 <br/>
 Engineering and CTO
 <br/>
 <br/>
 Ref #
 <br/>
 <br/>
 10049302
 <br/>
 <br/>
 <strong>
  Description &amp; Requirements
  <br/>
  <br/>
 </strong>
 Bloomberg&rsquo;s Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
 <br/>
 <br/>
 Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions.
 <br/>
 <br/>
 Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
 <br/>
 <br/>
 We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications.
 <br/>
 <br/>
 As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
 <br/>
 <br/>
 <strong>
  Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect, build, and diagnose multi-tenant AI platform systems
  </li>
  <li>
   Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
  </li>
  <li>
   Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
  </li>
  <li>
   Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
  </li>
  <li>
   Design CI/CD automation frameworks that incorporate regulatory requirements
  </li>
  <li>
   Develop cloud-native deployment patterns for AI systems across environments
  </li>
  <li>
   Troubleshoot and debug user issues
  </li>
  <li>
   Provide operational and user-facing documentation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We are looking for a Senior ML Platform Engineer with:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
  </li>
  <li>
   Experience designing cloud-native, distributed platforms
  </li>
  <li>
   Strong knowledge of Kubernetes, Argo, and container orchestration technologies
  </li>
  <li>
   Previous experience with modern CI/CD tools and GitOps workflows
  </li>
  <li>
   Familiarity with implementing automation for model development lifecycles
  </li>
  <li>
   A proactive mentality and ability to collaborate with peers, stakeholders, and management
  </li>
  <li>
   A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
  </li>
  <li>
   An understanding of Computer Science fundamentals such as data structures and algorithms
   <br/>
   <br/>
  </li>
 </ul>
 We give back to the technology community and you can read more about our outreach at:
 <br/>
 <br/>
 If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
 <br/>
 <br/>
 Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
</div>


Senior ML Platform Engineer - Artificial Intelligence

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

Octopus Energy

<div>
 <strong>
  About the role
 </strong>
 <br/>
 <p>
  Octopus was founded with a mission to use technology to accelerate us towards a low-carbon future. That&rsquo;s why we created Kraken - our own technology platform from scratch which now serves over 70 Million households and is a core reason why Octopus is the number one energy supplier in the UK. We do it by hiring clever, curious, and self-driven people, enabling them with modern tools and infrastructure and giving them lots of autonomy.
 </p>
 <br/>
 <p>
  <br/>
  We have been using GenAI in live, customer-facing environments since 2022, including one system that creates tens of thousands of high-quality emails for our Energy Specialists, combining our deep knowledge of the energy industry and the Octo communication style with customer-specific data from Kraken.
 </p>
 <br/>
 <p>
  <br/>
  We are now looking for a Senior AI Engineer. You will build and scale the systems that allow Octopus teams to use Generative AI models (LLMs, RAG, agents). You will be hands-on, working with a cross-functional team to build out flagship AI projects, and the platforms that enable others to succeed with Generative AI.
 </p>
 <br/>
 <p>
  <br/>
  You&rsquo;ll work on developing solutions that genuinely move us closer to Net Zero in a company passionate about building great technology to change the way customers use energy. You&rsquo;ll have wide open problems to solve, so you&rsquo;ll need to be comfortable with ambiguity, figuring out an approach and validating it fast.
 </p>
 <p>
  <p>
   <br/>
  </p>
  <strong>
   What you&rsquo;ll do
  </strong>
  <br/>
  <ul>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Design and Develop AI Platform Services:
     </strong>
     Build reusable, scalable services that expose GenAI models, knowledge retrieval pipelines, and agent workflows to application teams.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Knowledge Base Development:
     </strong>
     Build and maintain knowledge retrieval systems. Process heterogeneous documents like pdfs and build embedding pipelines that extract, chunk and embed into embedding models.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      AI Readiness:
     </strong>
     Process content from unstructured documents and make it AI ready: Optimize their structure, clear up text ambiguity, and embed rich machine-readable metadata.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      AI Ops, evals and observability:
     </strong>
     Set up framework for monitoring and evaluating AI output quality (relevance, accuracy, safety, drift, cost) and platform observability (latency, cost, usage).
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Centre of Excellence:
     </strong>
     Act as a centre of excellence for the whole business in the technical side of AI and LLMs usage, setting best practices and accelerating adoption.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Governance and Guardrails:
     </strong>
     Create governance layers for implementing PII redaction, prompt filtering etc.
    </p>
    <br/>
   </li>
   <br/>
   <br/>
  </ul>
  <br/>
  <p>
   <br/>
  </p>
  <strong>
   What you&rsquo;ll need
  </strong>
  <br/>
  <ul>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Deep GenAI &amp; RAG Expertise:
     </strong>
     2+ years of hands-on experience building and productionizing LLM applications, with deep technical knowledge of vector databases (e.g., Qdrant, Weavite, Pinecone, pgvector) and orchestration layers (e.g., LangGraph, LlamaIndex). Comfortable working with heterogeneous documents like pdfs. Experience working with re-ranking models.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Production-Grade Asynchronous Python:
     </strong>
     Strong software engineering fundamentals with deep experience in asynchronous programming (asyncio, FastAPI) to handle highly concurrent, I/O-bound LLM and database calls.&nbsp;
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Advanced Context Engineering:
     </strong>
     Proven experience solving production RAG challenges such as context window management, metadata filtering and semantic routing. Experience leveraging coding harnesses like Claude code.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Modern Software Practices:
     </strong>
     Mastery of Git, automated testing and CI/CD pipelines. Experience working with cloud platforms like AWS.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Comfort with Ambiguity:
     </strong>
     Ability to rapidly prototype an approach, validate it with metrics, and pivot fast in a fast-moving environment.
    </p>
    <br/>
   </li>
   <br/>
   <br/>
  </ul>
  <br/>
  <br/>
  <strong>
   It would be great if you had
  </strong>
  <br/>
  <br/>
  <ul>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      GraphRAG Experience:
     </strong>
     Familiarity with Knowledge Graphs (e.g., Neo4j) and ontologies to enhance standard vector RAG with highly structured, interconnected corporate data.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Local/Open-Weight Model Deployment:
     </strong>
     Experience deploying and fine-tuning open-weight models (like Llama 3 or Mistral) via frameworks like vLLM or Ollama to optimize token costs and privacy.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Prompt Caching &amp; Cost Optimisation:
     </strong>
     Practical experience implementing semantic caching layers to drastically reduce LLM API billing and response latency.
    </p>
    <br/>
   </li>
   <br/>
   <br/>
  </ul>
  <br/>
  <br/>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  💚 Why else you'll love it here 💚
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull;
  <strong>
   💰 Wondering what the salary for this role is?&nbsp;
  </strong>
  Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!
 </p>
 <p>
  &bull; 🎉&nbsp;Octopus Energy Group is a&nbsp;
  <strong>
   unique culture
  </strong>
  . An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recorded&nbsp;a podcast about our culture&nbsp;and how we empower our people. We&rsquo;ve also been placed in the&nbsp;top 10 companies for senior leadership
 </p>
 <p>
  &bull; 🎁&nbsp;Visit our UK perks hub -&nbsp;Octopus Employee Benefits
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <span>
    If this sounds like you then we'd love to hear from you. 🚀
   </span>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  P.S. Our process usually takes up to 4 weeks, but we&rsquo;ll always do our best to flex around what works for you. Along the way, you&rsquo;ll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at talent@octoenergy.com and we&rsquo;d love to help!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential.&nbsp;Need any specific accommodations?&nbsp;Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
  </em>
 </p>
 <br/>
 <p>
  Where necessary, we sometimes use AI tools to help with parts of our hiring process, like reviewing applications or assessing responses.
  <br/>
  <br/>
  We&rsquo;re lucky to receive a huge amount of interest, so these tools help our recruiters manage that volume, not replace them. Ultimately, every hiring decision (for example, whether to progress your application or not) is always made by a real person in our Talent team.
  <br/>
  <br/>
  If you&rsquo;d like to know more about how we use your data, you can reach out to us via email at talent@octoenergy.com.  We&rsquo;re happy to help!
 </p>
</div>


Senior AI Engineer

<div><h3 class="jobSectionHeader"><b>About the role</b></h3>
<p>
Octopus was founded with a mission to use technology to accelerate us towards a low-carbon future. That&rsquo;s why we created Kraken - our own technology platform from scratch which now serves over 70 Million households and is a core reason why Octopus is the number one energy supplier in the UK. We do it by hiring clever, curious, and self-driven people, enabling them with modern tools and infrastructure and giving them lots of autonomy.</p><p><br>
We have been using GenAI in live, customer-facing environments since 2022, including one system that creates tens of thousands of high-quality emails for our Energy Specialists, combining our deep knowledge of the energy industry and the Octo communication style with customer-specific data from Kraken.</p><p><br>
We are now looking for a Senior AI Engineer. You will build and scale the systems that allow Octopus teams to use Generative AI models (LLMs, RAG, agents). You will be hands-on, working with a cross-functional team to build out flagship AI projects, and the platforms that enable others to succeed with Generative AI.</p><p><br>
You&rsquo;ll work on developing solutions that genuinely move us closer to Net Zero in a company passionate about building great technology to change the way customers use energy. You&rsquo;ll have wide open problems to solve, so you&rsquo;ll need to be comfortable with ambiguity, figuring out an approach and validating it fast.</p>
<h3 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h3><div>
<ul>
<li><p><b>Design and Develop AI Platform Services:</b> Build reusable, scalable services that expose GenAI models, knowledge retrieval pipelines, and agent workflows to application teams.</p>
</li>
<li><p><b>Knowledge Base Development: </b>Build and maintain knowledge retrieval systems. Process heterogeneous documents like pdfs and build embedding pipelines that extract, chunk and embed into embedding models.</p>
</li>
<li><p><b>AI Readiness:</b> Process content from unstructured documents and make it AI ready: Optimize their structure, clear up text ambiguity, and embed rich machine-readable metadata.</p>
</li>
<li><p><b>AI Ops, evals and observability: </b>Set up framework for monitoring and evaluating AI output quality (relevance, accuracy, safety, drift, cost) and platform observability (latency, cost, usage).</p>
</li>
<li><p><b>Centre of Excellence: </b>Act as a centre of excellence for the whole business in the technical side of AI and LLMs usage, setting best practices and accelerating adoption.</p>
</li>
<li><p><b>Governance and Guardrails: </b>Create governance layers for implementing PII redaction, prompt filtering etc.</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>What you&rsquo;ll need</b></h3><div>
<ul>
<li><p><b>Deep GenAI &amp; RAG Expertise: </b>2+ years of hands-on experience building and productionizing LLM applications, with deep technical knowledge of vector databases (e.g., Qdrant, Weavite, Pinecone, pgvector) and orchestration layers (e.g., LangGraph, LlamaIndex). Comfortable working with heterogeneous documents like pdfs. Experience working with re-ranking models.</p>
</li>
<li><p><b>Production-Grade Asynchronous Python: </b>Strong software engineering fundamentals with deep experience in asynchronous programming (asyncio, FastAPI) to handle highly concurrent, I/O-bound LLM and database calls.</p>
</li>
<li><p><b>Advanced Context Engineering: </b>Proven experience solving production RAG challenges such as context window management, metadata filtering and semantic routing. Experience leveraging coding harnesses like Claude code.</p>
</li>
<li><p><b>Modern Software Practices: </b>Mastery of Git, automated testing and CI/CD pipelines. Experience working with cloud platforms like AWS.</p>
</li>
<li><p><b>Comfort with Ambiguity: </b>Ability to rapidly prototype an approach, validate it with metrics, and pivot fast in a fast-moving environment.</p>
</li>
</ul><div><h3 class="jobSectionHeader"><b>It would be great if you had</b></h3>
<div>
<ul><li><p><b>GraphRAG Experience: </b>Familiarity with Knowledge Graphs (e.g., Neo4j) and ontologies to enhance standard vector RAG with highly structured, interconnected corporate data.</p>
</li>
<li><p><b>Local/Open-Weight Model Deployment:</b> Experience deploying and fine-tuning open-weight models (like Llama 3 or Mistral) via frameworks like vLLM or Ollama to optimize token costs and privacy.</p>
</li>
<li><p><b>Prompt Caching &amp; Cost Optimisation:</b> Practical experience implementing semantic caching layers to drastically reduce LLM API billing and response latency.</p>
</li>
</ul></div></div></div><div>\uD83D\uDC9A Why else you'll love it here \uD83D\uDC9A<br>
</div><div></div><br>
<ul><li><b>\uD83D\uDCB0 Wondering what the salary for this role is? </b>Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!</li><li>\uD83C\uDF89 Octopus Energy Group is a <b>unique culture</b>. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We&rsquo;ve also been placed in the top 10 companies for senior leadership</li><li>\uD83C\uDF81 Visit our UK perks hub - Octopus Employee Benefits</li></ul><div></div><div><b><br>
If this sounds like you then we'd love to hear from you. \uD83D\uDE80</b></div><div></div><div><br>
P.S. Our process usually takes up to 4 weeks, but we&rsquo;ll always do our best to flex around what works for you. Along the way, you&rsquo;ll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at talent@octoenergy.com and we&rsquo;d love to help!</div><div></div><div><i><br>
Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!</i></div><div></div><div><i><br>
Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.</i></div>
<p>
Where necessary, we sometimes use AI tools to help with parts of our hiring process, like reviewing applications or assessing responses. We&rsquo;re lucky to receive a huge amount of interest, so these tools help our recruiters manage that volume, not replace them. Ultimately, every hiring decision (for example, whether to progress your application or not) is always made by a real person in our Talent team. If you&rsquo;d like to know more about how we use your data, you can reach out to us via email at talent@octoenergy.com. We&rsquo;re happy to help!</p></div>

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

Houseful

<div><p><b><i>6 months Initial Contract - Must work from the UK</i></b></p><p>
Alto Software Group (ASG) is a leading B2B SaaS platform serving the UK property industry. We power thousands of estate agency branches and support a significant proportion of UK housing transactions each year.</p><p>
We are building a data-driven, operationally efficient platform business. AI will be a structural lever in improving internal productivity, reducing operational cost, and enhancing customer experience.</p><p>
This is a hands-on delivery role responsible for building the automations and AI integrations that embed AI into how we operate.</p>
The Role<p>
We are hiring a contract AI Engineer to build, deploy and maintain AI-enabled automations across our core systems stack. Working with the Principal Engineer and the Head of AI Operations, you will take prioritised automation opportunities from design through to production.</p><p>
You will deliver against an internal AI roadmap spanning Customer Operations, Marketing, Finance, Education and Training to:</p><ul><li>Automate high-volume, manual administrative workflows</li><li>Build AI-enabled workflows in Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Turn the Mission Control data platform into an engine for event-triggered automation</li><li>Reduce operational overhead and improve reporting speed and accuracy</li></ul>
Core ResponsibilitiesAutomation Build &amp; Integration<ul><li>Build and maintain automation pipelines using n8n, Zapier/Make and direct LLM API integrations (OpenAI/Anthropic)</li><li>Develop API and webhook integrations across Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Implement workflows such as ticket summarisation, tagging, routing and AI triage</li></ul>
AI Engineering<ul><li>Design and implement RAG pipelines and vector database integrations over internal knowledge</li><li>Develop, test and version prompts; evaluate and improve output quality</li><li>Build event-triggered automations and AI-enabled reporting on Mission Control</li></ul>
Quality, Security &amp; Handover<ul><li>Apply sound engineering standards: error handling, logging and monitoring of automations in production</li><li>Ensure GDPR-compliant, secure handling of customer and company data</li><li>Document solutions clearly and hand over to internal teams for ongoing operation</li></ul>
What Success Looks Like (First 6 Months)<ul><li>Priority automation workflows live, stable and monitored in production</li><li>Measurable reduction in manual effort in targeted workflows</li><li>Reliable integrations across the core systems stack</li><li>Clear documentation enabling internal teams to operate and extend what you build</li></ul>
Required ExperienceTechnical<ul><li>Proven delivery of LLM-based automation in production environments</li><li>Strong experience with automation platforms (n8n, Make or Zapier)</li><li>Proficiency in Python and SQL</li><li>Strong API and webhook integration capability</li><li>Experience working with OpenAI/Anthropic APIs and prompt engineering</li><li>Experience building RAG pipelines and working with vector databases</li><li>Experience automating CRM (Salesforce) and support (Zendesk) environments preferred</li></ul>
Delivery<ul><li>Experience operating in B2B SaaS or similar fast-moving environments</li><li>Track record of delivering as a contractor: scoping, building and handing over cleanly</li><li>Comfortable working with non-technical stakeholders to refine requirements</li></ul>
Personal Attributes<ul><li>Delivery-focused and pragmatic</li><li>High agency and accountability</li><li>Structured, with strong attention to reliability and security</li><li>Comfortable working in ambiguity</li><li>Clear communicator with technical and non-technical audiences</li></ul>
Why This Role Matters<p>
AI will be a structural margin lever for ASG. The automations you build will directly reduce operational cost, increase capacity without incremental headcount, and embed AI as core operational infrastructure rather than experimentation.</p></div>

AI Engineer (Contract)

Applied Computing

<div><p>Applied Computing was founded in 2024 to build Orbital, a physics-informed foundation model for energy operations. We&rsquo;re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable abundance for a growing planet.</p><p><br>
The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data. We built Orbital to change that. It&rsquo;s a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational<br>
data and optimising in real time for any metric. Decisions get faster, operations get safer, and carbon intensity falls.</p><p><br>
We&rsquo;ve raised over $32 million, including one of the largest seed rounds for an<br>
AI company in the UK. We&rsquo;re just getting started</p><p></p><p>
As a Senior Full Stack Engineer on the Core AI team, you will build the platform that makes Orbital a scalable product. You will own the internal application layers, developer facing APIs, shared UI components, and integration frameworks that power every Orbital deployment.</p><p></p><p>
This is a product engineering role focused on building reusable systems. You will collaborate with AI research, Infra, and software teams to translate complex industrial workflows into reliable system components and intuitive user interfaces.</p><p></p><p>
Your work will define how users interact with Orbital across control rooms, engineering teams, and cloud-based environments.</p><p><b>
What Success Looks Like</b></p><ul><li>Orbital ships with high-quality dashboards and interfaces that users rely on daily</li><li>Core APIs and services provide stable, well-documented contracts for AI, data, and automation features</li><li>Frontend and backend codebases are modular, well-structured, and easy to extend</li><li>Releases are frequent, reliable, and backed by strong CI/CD pipelines</li><li>Features scale from one deployment to many without site-specific rework or bespoke</li></ul>
engineering<div><b>
Requirements</b><br>
<ul><li>Strong software engineering fundamentals (data structures, algorithms, complexity)</li><li>Solid understanding of system design patterns and architectural trade-offs</li><li>Strong proficiency in JavaScript / TypeScript</li><li>Experience building complex applications in React or Svelte</li><li>Ability to design reusable UI components and frontend architecture</li><li>Python for APIs, orchestration, and data integration</li><li>Backend experience with Node.js, FastAPI, Express, or similar frameworks</li><li>Experience designing and maintaining API-driven systems</li><li>Experience building containerised microservices using Docker and Kubernetes</li><li>Familiarity with distributed systems and event-driven architectures</li><li>Experience with message brokers such as Kafka or RabbitMQ</li><li>Comfortable working in Linux environments for debugging and performance tuning</li><li>Hands-on experience with AWS (EKS, S3, IAM, CloudWatch, networking fundamentals)</li></ul></div><div><b><br>
Product &amp; Engineering Mindset</b><br>
<ul><li>Comfortable operating in a fast-moving product environment with evolving</li></ul>
requirements<br>
<ul><li>Strong collaboration skills across AI, infra, and product teams</li><li>Bias toward reliability, resilience, and long-term maintainability</li><li>Ability to design systems that scale across customers, sites, and industrial verticals</li><li>Comfortable shipping on a bi-weekly release cadence</li></ul></div><div><b><br>
What This Role Is Not</b><br>
<ul><li>Not a pure frontend or UI-only role</li><li>Not infrastructure-only or DevOps-focused</li><li>Not a research or modelling role</li><li>Not a one-off project engineer; this role builds core platform primitives</li></ul></div><div><b>
1. Full Stack Product Development</b><br>
<ul><li>Build features across the product stack: data access, backend services, APIs, and UI</li></ul>
layers<br>
<ul><li>Develop backend logic that exposes:</li></ul>
o Time-series forecasts<br>
o Physics-based model outputs<br>
o LLM and agent outputs<br>
As stable product features</div><ul><li><p>
Create internal tools and workflows that support multiple engineering and operational use cases without custom deployments</p></li><li><p>
Ensure all application layers meet strict standards for:</p></li></ul><p>
o Reliability<br>
o Security<br>
o Observability<br>
o Performance<br>
Across cloud and on-prem environments</p><div><b><br>
2. Platform &amp; Microservices Architecture</b><br>
<ul><li>Design and implement containerised microservices running in Kubernetes clusters</li><li>Create shared services and libraries that enable reuse across Orbital verticals</li><li>Define API boundaries and service contracts that allow AI and infra layers to evolve</li></ul>
independently</div><div><b>
3. Core Platform Engineering</b><br>
<ul><li>Collaborate with Product, AI Research, ML Engineering, and Infra teams on:</li></ul>
o Product requirements<br>
o Long-term platform architecture<br>
<ul><li>Build interface layers that expose inference, physics-based reasoning, and optimisation</li></ul>
as first-class platform capabilities<br>
<ul><li>Implement abstractions for:</li></ul>
o Data ingestion<br>
o Inference orchestration<br>
o Scheduling<br>
o Monitoring and health checks<br>
<ul><li>Establish design patterns and engineering standards that unify the Orbital ecosystem</li></ul></div><div><b><br>
4. Software Engineering Excellence</b><br>
<ul><li>Write clean, modular, maintainable code across frontend and backend systems</li><li>Set up and improve CI/CD pipelines for:</li></ul>
o Automated testing<br>
o QA<br>
o Rapid, safe releases<br>
<ul><li>Participate in code reviews and architectural discussions</li><li>Leverage modern agentic coding tools to increase velocity while maintaining</li></ul>
correctness and readability</div><p><b>
Benefits</b></p><p>
Competitive salary and benefits<br>
Ability to work from the office or remote<br>
Employment contract in UK or India, EOR or contractor options available in other jurisdictions<br>
Exciting high traction AI product</p></div>

Staff Software Engineer

Explore 325+ Ai platform engineer in London this July. Find roles across top companies and apply now to boost your career.

325 ai platform engineer jobs In London

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AI Engineer (Contract)

Staff Software Engineer