ai engineer

machine learning engineer

senior ai engineer

artificial intelligence engineer Jobs in London

artificial intelligence engineer

senior machine learning engineer Jobs in London

senior machine learning engineer

generative ai specialist

Talan

<div><b>Company Description</b><p><br>
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).</p><b><br>
Job Description</b><p><br>
As our AI practice grows, we are looking for a capable, hands-on AI Engineer to help build and deliver the solutions at the heart of our client work. Coming from a data science background, you are equally comfortable applying proven machine-learning techniques to traditional analytics problems and working with the latest generative AI (large language models, retrieval-augmented generation, and agent-based applications). You enjoy building, you write dependable code, and you turn well-defined designs into working software.</p><p>
This is a delivery-focused role that sits a level below our Lead Data Scientists. You will own meaningful workstreams within a project rather than the whole engagement, working to an architecture and plan shaped by more senior colleagues. In return, you will gain breadth across modern AI, exposure to real client problems,</p><p>
You will also be a supportive presence within the team, helping your peers solve problems, sharing what you learn, and giving day-to-day guidance to graduate and junior resources working alongside you.</p><p><b>
Required skills &amp; experience:</b></p><ul><li>
Build, test, and deploy AI and machine learning components within client projects to the standards and designs set by senior colleagues.</li><li>
Develop GenAI and LLM-based features (prompting, retrieval-augmented generation, and simple agentic workflows) alongside more traditional ML models.</li><li>
Deliver classical data science tasks (data preparation, feature engineering, model training, and evaluation) on projects that call for them.</li><li>
Translate solution designs into clean, well-documented, production-minded code.</li><li>
Contribute to model evaluation, testing, and monitoring.</li><li>
Support and guide very junior and graduate resources, reviewing their work and helping them grow.</li><li>
Help peers unblock technical problems and share knowledge across the team.</li><li>
Take part in client and team discussions and communicate your work clearly.</li></ul><br>
<b>
Qualifications</b><p><b><br>
To qualify for this role, you must have:
</b></p><ul><li>Typically, 2&ndash;4 years' experience in data science, machine learning, or AI engineering.</li><li>
Solid grounding in core data science and machine learning.</li><li>
Practical experience with LLMs and generative AI, including prompting and RAG.</li><li>
Familiarity with how AI agents are built and orchestrated.</li><li>
Strong Python and common data/ML libraries; good engineering habits.</li><li>
Clear communicator and collaborative team player.</li></ul><p><b>
Ideally, you&rsquo;ll also have, but not essential:</b></p><ul><li>
Exposure to cloud AI platforms, Azure a plus.</li><li>
Experience practicing MLOps and LLMOps.</li><li>
Early experience mentoring junior colleagues.</li><li>
Interest in consulting and client-facing delivery.</li></ul><p><b>
You must be:</b></p><ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul><p>
#TalanUK #LI-HB1</p><b><br>
Additional Information</b><p><b><br>
Compensation &amp; Benefits Package:</b></p><ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul><p><b>
Why join:</b></p><p>
This is a role built for momentum, working across the full spectrum of modern AI, learning from senior architects and leads on real engagements, with genuine responsibility from day one and a clear path into a leadership track.</p></div>

AI Engineer (LLMs, Agents & Applied Data Science)

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p>Join Citi's XVA Technology team in London as a Lead Software Engineer at Vice President level, and take on a role at the intersection of advanced software engineering and AI-driven innovation &mdash; at a firm where your code, your decisions, and your ideas operate at global scale. This role is built for a hands-on engineer with deep AI and software development expertise who can independently set and drive a technical agenda &mdash; building production systems, embedding intelligent tooling, and owning project outcomes across a complex, high-impact domain. You will work alongside high-calibre engineers and engaged business partners to architect, build, and deliver solutions that redefine how XVA risk is calculated and managed globally.</p>
<p></p><p><b>Responsibilities</b></p>
<ul><li>Design, build, and maintain scalable, high-performance software solutions for XVA risk systems, writing and reviewing production-quality code while ensuring alignment with enterprise architecture standards.</li>
<li>Build and integrate AI and Machine Learning solutions into core XVA workflows &mdash; applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output.</li>
<li>Take end-to-end ownership of technology projects &mdash; from initial design and development through to production release &mdash; coordinating across engineering, business, and operations teams to keep projects on track.</li>
<li>Lead and run technology projects with confidence, managing timelines, dependencies, and stakeholder expectations while keeping the engineering team focused and unblocked.</li>
<li>Translate complex business requirements from Risk, Operations, and Technology partners into clear functional specifications, well-structured solution designs, and working software.</li>
<li>Drive Agile delivery practices across cross-functional and distributed teams, facilitating sprint planning, stand-ups, retrospectives, and release coordination.</li>
<li>Define project scope and ensure all solutions meet regulatory and compliance requirements, proactively identifying and resolving technical and delivery risks across market risk technology projects.</li>
<li>Mentor engineers and analysts, sharing technical knowledge, setting quality standards, and building team capability &mdash; particularly in modern engineering practices and AI tooling.</li>
</ul><p></p><p><b>Required Qualifications &amp; Skills</b></p>
<ul><li>Extensive hands-on software engineering experience at Vice President level or equivalent, with a strong foundation in Python or Java and a track record of delivering production-grade systems in a financial services environment.</li>
<li>Hands-on experience building and deploying AI or Machine Learning solutions in a production environment, with the ability to identify where Generative AI tooling can be embedded to measurably improve engineering workflows and analytical capabilities.</li>
<li>Ability to independently own and drive a technical agenda &mdash; setting direction, making architectural decisions, and managing project outcomes without requiring close oversight.</li>
<li>Solid understanding of distributed systems, microservices architecture, and scalable data processing, with the ability to make and defend architectural decisions under real-world constraints.</li>
<li>Domain knowledge in XVA (X-Value Adjustment), market risk, or related regulatory frameworks such as FRTB or Netted CVA, with the ability to engage credibly with both technical and business stakeholders.</li>
<li>Clear, confident communication skills &mdash; able to present complex technical concepts to non-technical audiences and align diverse stakeholders around a shared project plan.</li>
<li>Bachelor's degree in Computer Science, Engineering, or a related discipline.</li>
</ul><p></p><p><b>Beneficial Skills &amp; Qualifications</b></p>
<ul><li>Experience leading AI or automation initiatives within a financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes.</li>
<li>Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code.</li>
<li>Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus.</li>
<li>Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows.</li>
</ul><p></p><p>This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.</p>
<p></p><p><b>What we&rsquo;ll provide you</b></p>
<p>By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:</p>
<ul><li>27 days annual leave (plus bank holidays)</li>
<li>A discretional annual performance related bonus</li>
<li>Private Medical Care &amp; Life Insurance</li>
<li>Employee Assistance Program</li>
<li>Pension Plan</li>
<li>Paid Parental Leave</li>
<li>Special discounts for employees, family, and friends</li>
<li>Access to an array of learning and development resources</li>
</ul><p></p><p>Visit our About Us | Culture, Values &amp; Benefits page to learn more.</p>
<p></p><p>Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.</p>
<p></p><p>#LI-AP2</p>
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family Group:
</b></h2>Technology
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family:</b></h2>
Applications Development
<p>-</p>
<h2 class="jobSectionHeader"><b>Time Type:</b></h2>
Full time
<p>-</p>
<h2 class="jobSectionHeader"><b>Most Relevant Skills
</b></h2>Please see the requirements listed above.
<p>-</p>
<h2 class="jobSectionHeader"><b>Other Relevant Skills
</b></h2>For complementary skills, please see above and/or contact the recruiter.
<p>-</p>
<p><i>Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p></div><p></p>

Lead Software Engineer (XVA) - VP

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>

Ciklum

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

Expert Agentic AI Engineer

PROXIMIE

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

Senior Machine Learning Engineer

<div><b>Company Description</b><p><br>
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).</p><b><br>
Job Description</b><p><br>
We are hiring a Lead Data Scientist to drive the technical delivery of our most demanding AI engagements and to lead a growing team of data scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine both.</p><p>
You will own delivery from problem framing through to deployment, ensuring the work is technically sound, commercially valuable, and aligned to the architectural vision. As a lead, you will mentor the team, raise engineering and modelling standards, and act as a trusted technical partner in client conversations. You will help clients see not just what is possible, but what is practical and worth doing.</p><p>
This is a delivery-focused leadership role with genuine breadth: one week you might be tuning a forecasting model, the next designing an agentic workflow or evaluating an LLM pipeline for a client pilot.</p><p><b>
Required skills &amp; experience:</b></p><ul><li>
Lead end-to-end delivery of data science and AI projects, owning technical quality and outcomes.</li><li>
Combine classical ML (regression, classification, forecasting, optimisation) with modern GenAI, LLM, and agent-based approaches as the problem demands.</li><li>
Mentor and develop data scientists, AI engineers, and junior consultants, growing the team's capability.</li><li>
Translate business problems into well-scoped analytical and AI solutions and communicate results to non-technical stakeholders.</li><li>
Ensure best practice across the AI lifecycle &mdash; experimentation, evaluation, testing, deployment, and monitoring.</li><li>
Act as the bridge between architecture and delivery, ensuring implementation stays faithful to design.</li><li>
Support pre-sales and client discussions with credible technical input and realistic estimation.</li><li>
Champion reproducibility, model governance, and responsible practice in everyday delivery.</li></ul><br>
<b>
Qualifications</b><p><b><br>
To qualify for this role, you must have:
</b></p><ul><li>Minimum 5 years in data science or AI delivery, including hands-on leadership of technical teams or workstreams.</li><li>
Strong foundations in machine learning and statistics, with demonstrable production experience.</li><li>
Practical experience with LLMs and generative AI &mdash; prompting, RAG, fine-tuning, and evaluation.</li><li>
Exposure to AI agents and orchestration frameworks, and an appetite to deepen it.</li><li>
Proficiency in Python and the modern data / ML stack; sound data engineering instincts.</li><li>
Excellent communication and stakeholder skills, ideally in client-facing or consulting settings.</li></ul><p><b>
Ideally, you&rsquo;ll also have, but not essential:</b></p><ul><li>
Familiarity with the Azure AI ecosystem (Azure ML, Azure OpenAI, Databricks / Fabric).</li><li>
Experience supporting business development or pre-sales.</li><li>
Domain depth in a regulated or data-rich industry.</li><li>
Contributions to open source, publications, or a visible professional profile.</li></ul><p><b>
You must be:</b></p><ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul><p>
#TalanUK #LI-HB1</p><b><br>
Additional Information</b><p><b><br>
Compensation &amp; Benefits Package:</b></p><ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul><p><b>
Why join:</b></p><p>
You will lead substantive, end-to-end AI work in a practice that is scaling fast and backing its people to grow with it. You will shape how a team works, influence how clients adopt AI, and keep your own skills at the frontier, bridging proven data science with the most current GenAI and agentic techniques. It is an opportunity to lead, deliver, and keep building.</p></div>

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

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