National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Machine Learning Engineer

Kraken
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - up to £135k base plus equity

Senior Machine Learning Engineer - up to £135k base plus equity

Senior Machine Learning Engineer - up to £135k base plus equity

1 week ago Be among the first 25 applicants

Kraken is the operating system for utilities of the future. Built in-house at Octopus Energy, we took them to become the biggest supplier in the UK, and now we power energy companies and utilities around the globe - in 10 countries and counting, licensing software to giants like Origin Energy in Australia and Tokyo Gas in Japan. We’re on a mission to accelerate the renewable transition, and bring affordable green energy to the world.

We’ve reinvented energy products with smart, data driven tariffs to balance customer demand with renewable generation, and Kraken’s platform controls more than half of the grid-scale batteries in the UK. We’re driving the uptake of low carbon technologies like solar panels and heat pumps via our software for engineers in the field. Our platform allows our energy specialists to be the most productive in the industry, with our suite of AI tools making us pioneers in using ML and AI to make agents' lives easier and customers happier. We do it by hiring clever, curious, and self-driven people, enabling them with modern tools and infrastructure and giving them lots of autonomy.

Our ML team consists of ML, front-end and back-end engineers, so that we can rapidly prototype and get innovative tools in use at breakneck speed.

We’ve had great success in using AI to bring better service to customers, and we want to bring that success to the whole business. You’ll be part of a small expert team working on the most pressing problems for the business, whether it’s internal AI tooling to make our developers twice as productive, or automating processes to cut months off migration times for new clients. You’ll work across the whole product lifecycle: identifying uses of new technologies via exploration, working closely with teams around the business to validate that your ideas will bring value, and rapidly prototyping. The work you do will define the pattern for AI success at the company.

You’ll have wide open problems to solve, so you’ll need to be comfortable with ambiguity, figuring out an approach and validating it fast. You’ll stay up to date with changes in the field, using your knowledge of state-of-the-art techniques to solve problems, define the research direction and shape the product. LLMs will be your bread and butter, customized with advanced RAG techniques, finetuning and reinforcement learning. You’ll work closely with other engineers to build fast, and you’ll use Python and Kubernetes to deploy systems in production.

What You'll Do

  • Work with a high performance team of LLM, MLOps, backend and front end engineers
  • Tackle the biggest problems facing the company, giving a wide experience across the business, with the freedom to define novel approaches
  • Work to help LLMs understand and interact with the millions of lines of code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning
  • Use classic ML and NLP techniques to complement and improve LLM systems
  • Act as a center of excellence for the whole business in AI, as a floating resource that consults other teams use of LLMs and lifts the quality of products around the whole business
  • Be on the forefront of understanding AI advancements and their technical implications for the team and business
  • Work with technical and product leadership in the team to develop research avenues and priorities to solve problems
  • Mentor and inspire other MLOps and ML engineers on the team to support their technical development

What You'll Need

  • Curious and self driven - in a field that changes so quickly, its essential you have the initiative to make decisions yourself, and can find solutions to novel problems without lots of help and support
  • 2+ years experience with LLMs in production beyond POC and a deep technical understanding of diverse technologies and techniques to adapt LLMs to domains (like advanced RAG techniques, tool calling, finetuning and RL)
  • Of particular interest are cutting-edge AI systems in software engineering, for example working on AI software copilots or autonomous software engineering bots
  • 5+ years experience of traditional ML techniques including training and deploying ML models, and ongoing monitoring of production models that incorporate feedback mechanisms to improve
  • A keen interest in Gen AI and classic ML, understanding of emerging trends and research, and proven experience aligning and applying this to business objectives

It would be great if you had

  • Experience working with large codebases and collaborating with multiple engineering teams in large companies
  • Experience in diverse LLM deployment methods (eg hosted finetuned models via services like Bedrock, and running directly via engines like vLLM)
  • Experience as a thought leader of engineering excellence internally and externally, including conference or meetup talks

If this sounds like you then we'd love to hear from you.

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!

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.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesTechnology, Information and Internet

Referrals increase your chances of interviewing at Kraken by 2x

Sign in to set job alerts for “Senior Machine Learning Engineer” roles.Senior Machine Learning Engineer - Generative AI and Search - Artificial Intelligence

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

Senior Machine Learning Engineer - Scientific AI

London, England, United Kingdom 2 weeks ago

Isleworth, England, United Kingdom 9 hours ago

Senior Machine Learning Engineer - up to £130k base plus equity

London, England, United Kingdom 2 days ago

London, England, United Kingdom 4 months ago

London, England, United Kingdom 10 hours ago

Senior Data Science and Machine Learning Engineer

London, England, United Kingdom 2 weeks ago

Senior Data Science and Machine Learning Engineer

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 weeks ago

Senior Machine Learning Infrastructure Engineer, Simulation

London, England, United Kingdom 6 hours ago

Senior Machine Learning Engineer, Scaling and Performance

London, England, United Kingdom 2 months ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 weeks ago

Senior Machine Learning Engineer, Simulation

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 44 minutes ago

London, England, United Kingdom 4 hours ago

London, England, United Kingdom 2 weeks ago

Senior Machine Learning Engineer - Search - London

London, England, United Kingdom 2 weeks ago

Jobs Senior Machine Learning Engineer, LONDON #9887715

London, England, United Kingdom 1 week ago

Applied AI ML - Senior Associate - Machine Learning Engineer

London, England, United Kingdom 4 days ago

Greater London, England, United Kingdom 3 weeks ago

Senior Machine Learning Engineer, Pricing

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers Jobs

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

Jobs Careers

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

Jobs

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.