ai engineer

software engineer

senior ai engineer

analytics engineer

platform engineer

genai engineer

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>

<div><b>Role description</b><p><b><br>
Technical Product Owner / Technical Product Manager &ndash; Agentic AI</b></p>
<p><b>
Location:</b> Leeds (Hybrid)<br>
<b>Engagement Type:</b> Contract (Inside IR35) or Fixed-Term Employment<br>
<b>Start Date:</b> ASAP</p><br>
<p></p>
<p>
We are seeking an experienced Technical Product Owner / Technical Product Manager to support a strategic Device Management Modernisation initiative leveraging Agentic AI capabilities.</p>
<p>
Working closely with Product, Engineering, Architecture, and Business stakeholders, you will drive product outcomes, translate business needs into technical solutions, and help deliver innovative AI-powered capabilities while ensuring continuity of existing business processes.</p><br>
<p></p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li>Own and drive product outcomes across the modernisation programme.</li>
<li>Define product priorities, roadmap, and requirements in collaboration with business and technology stakeholders.</li>
<li>Translate business objectives into clear user stories and delivery-ready requirements.</li>
<li>Manage and prioritise the product backlog to maximise business value.</li>
<li>Partner with Engineering and Architecture teams to deliver scalable, high-quality solutions.</li>
<li>Support the design and delivery of Agentic AI use cases and workflows.</li>
<li>Embed Responsible AI, governance, security, and compliance considerations into product delivery.</li>
<li>Act as the primary bridge between Product, Engineering, and Business teams, ensuring alignment throughout delivery.</li></ul><br>
<p></p>
<p><b>
What You'll Bring:</b></p>
<p><b>
Product &amp; Delivery</b></p>
<ul>
<li>Proven experience as a Technical Product Manager, Technical Product Owner, or similar role in a technology-led environment.</li>
<li>Strong understanding of product operating models, product lifecycle management, and Agile delivery.</li>
<li>Experience leading technology transformation or modernisation initiatives.</li>
<li>Ability to translate business requirements into engineering-ready solutions.</li></ul><br>
<p></p>
<p><b>
Agentic AI &amp; GenAI</b></p>
<p><b>
Working knowledge of:</b></p>
<ul>
<li>Agentic AI concepts, including multi-agent orchestration, RAG, AI tool/API integration, memory frameworks, and Responsible AI controls.</li>
<li>Large Language Models (LLMs), prompt engineering, evaluation approaches, and cost, latency, and accuracy trade-offs.</li></ul><br>
<p></p>
<p><b>
Technical &amp; Stakeholder Skills</b></p>
<ul>
<li>Experience working closely with Engineering, Architecture, and Product teams.</li>
<li>Understanding of cloud-native and API-driven architectures.</li>
<li>Strong stakeholder management, communication, and influencing skills.</li>
<li>Ability to engage effectively with both technical and non-technical audiences.</li></ul><br>
<p></p>
<p><b>
Nice to Have</b></p>
<ul>
<li>Experience delivering AI, GenAI, Machine Learning, or Intelligent Automation solutions.</li>
<li>Experience with Microsoft AI, Azure AI, OpenAI, Copilot, or similar AI platforms.</li>
<li>Background in enterprise technology transformation or device management environments.</li></ul><br>
<p></p>
<p><b>
Why Join Us?</b></p>
<p>
Join a high-profile transformation programme and play a key role in shaping the next generation of AI-enabled products while working alongside leading product, engineering, and AI specialists.</p>
<p></p>
<p><b>Hurry &amp; Apply!</b><br>
<b>#UST</b></p><p></p><b><br>
Skills</b><p><br>
agentic ai,life cycle management,artificial intelligence,product management,</p><b><br>
About UST</b><br>
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Technical Product Owner / Technical Product Manager – Agentic AI (Lead I - Software Engineering)

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)

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li>
<li>Ability to communicate in French and German fluently to support client relationship management in this region.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google&rsquo;s Agent Development Kit (ADK)) and complex patterns like ReAct, self-reflection, and hierarchical delegation.</li>
<li>Knowledge of &quot;LLM-native&quot; metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
<li>Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google Cloud&rsquo;s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren&rsquo;t just building technology; you&rsquo;re shaping the frontier of enterprise and driving the evolution of advanced models. It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll excel by leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.</li>
<li>Architect and code the &quot;connective tissue&quot; between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.</li>
<li>Identify repeatable field patterns and technical &quot;friction points&quot; in Google&rsquo;s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.</li>
<li>Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Partner Forward Deployed Engineer III, Generative AI (French, German)

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

Visa

<div><p><b>About Us</b><br>
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.</p><p></p><p>
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.</p><p></p><p>
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.</p><p></p><p><b>
Job Description</b></p><p></p><p>
Visa is accelerating the delivery of data analytics and AI powered products to support client growth and strategic decision-making across regions. We are seeking a Data Engineer to execute on the design, delivery and evolution of scalable data engineering capabilities that underpin Data Science, AI and client facing products for all European markets.</p><p></p><p>
The role requires understanding and translating business needs into data models, creating robust data pipelines, and developing and maintaining databases. The candidate should be able to define and manage data load procedures, implement data strategies, and ensure robust operational data management systems. Collaborating with stakeholders across the organization to understand their data needs and deliver solutions is also a key part of this role. The ideal candidate will be proficient in big data tools like Hadoop, Hive, and Spark, programming languages such as Python and SQL and have strong analytical skills related to working with structured and unstructured datasets.</p><p></p><p>
Primary Responsibilities:</p><ul><li>
Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions</li><li>
Build, manage and deploy large scale ETL processes to generate data assets for the region</li><li>
Build modular and reusable code considering the configurability and scalability while adhering to low-level design</li><li>
Perform thorough unit testing of development tasks and document the test results using standard defined templates</li><li>
Build, schedule, and manage DAGs in Apache Airflow efficiently</li><li>
Monitor data processing tasks using Airflow</li><li>
Ensure quality control of data assets, through monitoring and reconciling data loaded across different stages in the data pipeline</li><li>
Utilize strong data analytics skills to identify, discuss, and promptly fix data issues</li><li>
Apply debugging skills to quickly rectify execution errors, ensuring minimal delays and impact on business operations</li><li>
Collaborate and communicate with stakeholders for requirement understanding and clarifications</li><li>
Maintain the highest level of quality and detail-oriented approach in daily tasks</li></ul><p></p><p>
This is a hybrid position. This requires 3 days per week attendance in the London office</p><p></p><p><b>
Qualifications</b></p><p></p><p><b>
Basic Qualifications:</b></p><ul><li>
2-4 years development experience in building data pipelines and writing ETL code using Hive, PySpark, SQL and Unix</li><li>
Experience in writing and optimizing SQL queries in a big data environment</li><li>
Experience working in Linux/Unix environment and exposure to command line utilities</li><li>
Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems</li><li>
Exposure to code version control systems (e.g. git, GitHub)</li><li>
Experience working with cloud services (e.g. AWS, GCP, Azure)</li><li>
Familiarity with common agentic coding tools</li><li>
Hands-on experience building GenAI-based applications or workloads</li><li>
Ability to understand a diverse set of business domains and requirements</li><li>
Good understanding of agile working practices and related program management skills</li><li>
Experience with workflow orchestration tools (e.g., Apache Airflow) and designing reliable data workflows</li><li>
Experience applying data quality frameworks and practices (e.g., automated checks, reconciliation and data observability)</li><li>
Strong communication and presentation skills with ability to interact with different cross-functional team members at varying levels</li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li>
Advanced degree in technical field (e.g. Computer Science, statistics, etc.)</li><li>
Experience with visualization tools like Tableau and Power BI</li><li>
Exposure to Financial Services or the Payments Industry</li><li>
Hands-on experience with CI/CD and automation pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps) including testing and release practices</li></ul><p></p><p><b>
Visa is an EEO Employer</b></p><p>
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</p></div><p></p>

Data Engineer

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