AI Engineering Manager

Description

Join us, be part of more.

We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn't rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That's why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.

AI Engineering Manager

As an AI Engineering Manager, you will lead the development and delivery of innovative AI solutions that help Centrica unlock value from data and emerging technologies. Combining technical leadership with hands-on engineering expertise, you will be responsible for guiding a team of AI Engineers in the design, development, deployment, and operation of scalable AI and Large Language Model (LLM) powered applications. Working closely with Data Scientists, Product teams, and business stakeholders, you will ensure AI products are secure, reliable, and built to enterprise standards.

Reporting to the Director of AI & Data Science, you will play a key role in shaping Centrica's AI engineering capability, driving best practice across software engineering and MLOps, and supporting the successful transition of machine learning models and AI solutions from experimentation into production. This is an exciting opportunity for a technically strong leader who enjoys developing people while remaining actively involved in architecture, solution design, and hands-on engineering delivery.

Responsibilities of the role: Provide technical leadership and guidance to the AI engineering team, ensuring strong standards in software engineering, MLOps, and responsible AI development.

Lead the design, development, and deployment of AI applications, including large language model-powered solutions, while contributing hands-on to code, architecture, and technical decision-making.

Support data scientists with robust model deployment, monitoring, maintenance, and product ionisation of machine learning and AI solutions.

Collaborate with data scientists, product owners, business stakeholders, and data engineers to translate busin...