Lead Machine Learning Engineer
Lead Machine Learning Engineer
Posted on :
26-07-2025
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1 Vacancy
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Job Description
Help us use technology to make a big green dent in the universe!
Were a technology company focused on creating a smart sustainable energy system. From optimising renewable generation creating a more intelligent grid and enabling utilities to provide excellent customer experiences our operating system for energy is transforming the industry around the world in a way that benefits everyone.
Its a really exciting time in energy. Help us make a real impact on shaping a better more sustainable future.
Kraken Utilities
Our tech platform Kraken is already licensed to support 55 million customer accounts globally and we aim to serve 100 million by 2027. Kraken is the most AI-driven innovative forward-thinking platform for energy management. From optimising resources to delivering cost-effective exceptional customer experiences through advanced Customer Information Systems (CIS) billing meter data management CRM and AI-driven communications.
Were now charging the Kraken platform to other utility industries (Water and Broadband) and have created a new team called - Kraken Utilities. Over the last 3 years we have built this team from scratch to re-architect design and develop our Kraken software platform to solve complex industry wide problems within the water and broadband sectors (such as customer experience & water leak detection).
The Kraken Utilities team is in a very exciting growth phase and has already signed 5 clients; Severn Trent Leep Portsmouth Water TalkTalk and Cuckoo. We are currently 120 people (engineers product implementation strategy) along with 1800 people in the overall Kraken world.
The role
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 water and telco companies around the globe - in 10 countries and counting licensing software to giants like Origin Energy in Australia and Tokyo Gas in Japan. Were on a mission to accelerate the renewable transition and bring affordable green energy to the world.
Weve reinvented energy products with smart data driven tariffs to balance customer demand with renewable generation and Krakens platform controls more than half of the grid-scale batteries in the UK. Were revolutionising the utilities industry and are excited about how Kraken can transform both the customer experience and operational efficiency for our platform allows our 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.
Weve had great success in using AI to bring better service to customers and we want to bring that success to the whole business. Youll manage a small expert team working on the most pressing problems for the business whether its internal AI tooling to make our developers twice as productive or automating processes to improve efficiency of our business. Youll 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.
Youll have wide open problems to solve so youll need to be comfortable with ambiguity figuring out an approach and validating it fast. Youll stay up to date with changes in the field using your knowledge of state-of-the-art techniques to solve problems. LLMs will be your bread and butter customized with advanced RAG techniques finetuning and reinforcement learning. Youll work closely with other engineers to build fast and youll use Python and Kubernetes to deploy systems in production.
What youll do:
- Manage a high performance team of LLM MLOps backend and front end engineers
- Collaborate closely with cross-functional stakeholders including product managers client delivery leads support teams and business operations to align technical initiatives with business goals
- Tackle the biggest problems facing the company giving a wide experience across the business with the freedom to define novel approaches
- Develop systems that enable LLMs to understand and interact with the millions of lines of code that power Kraken as well as the complex business rules operational processes and terabytes of structured and unstructured data behind it using cutting-edge techniques like GraphRAG agentic workflows finetuning and reinforcement learning
- Design systems that assist developers support agents migration teams and more creating AI agents for every part of the business
- Use classic ML and NLP techniques to complement and improve LLM systems
- Deploy and monitor ML systems in production using Python and Kubernetes
- Be on the forefront of understanding AI advancements and their technical implications for the team and business
What youll 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
- Prior experience managing a small team (3-5 ML engineers).
- 2 years of hands-on experience deploying LLMs in production (not just POCs) including techniques like RAG tool calling finetuning and RLHF
- 8 years of experience in classic ML and NLP including training deployment monitoring and feedback-driven iteration
- A keen interest in Gen AI and classic ML understanding of emerging trends and research and proven experience aligning and applying this to real world objectives
- Proven ability to align AI solutions to concrete business outcomes
It would be a bonus if you have:
- 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 LLM)
This team will require you to work on a hybrid remote basis coming into our office in London Oxford Circus 2 days a week.
Were very excited to be growing our team. Were looking for skills and experience to help shape and define the future of not only our team but the wider business at a global scale. If youre reading this and grinning please apply! There are huge challenges to tackle and we need amazing people who are keen to get stuck in.
Kraken is a certified Great Place to Work in France Germany Spain Japan and the UK we are one of the Best Workplaces on Glassdoor with a score of 4.7. Check out our Welcome to the Jungle site (FR/EN) to learn more about our teams and culture.
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. If you have any specific accommodations or a unique preference please contact us at and well 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 Kraken were 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. We consider all applicants without regard to race colour religion national origin age sex gender identity or expression sexual orientation marital or veteran status disability or any other legally protected status. U.S. based candidates can learn more about their EEO rights here.
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Employment Type
Full-Time
Key Skills
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