AI Software Engineer

## AI Software Engineer Apply locations:
Windsor time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
July 25, 2026 (15 days left to apply) job requisition :
R0083247
** 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.
** Centrica, Technology is a core driver of how we deliver our strategy.
** You’ll join a team modernising our platforms, strengthening cyber and operational resilience, and advancing a product‐led way of working that brings engineers, data specialists and business experts together to deliver meaningful outcomes ’re scaling automation and AI from proof‐of‐concept into real, end‐to‐end change - improving customer journeys, reducing cost‐to‐serve, accelerating delivery, and building the digital foundations that underpin everything from energy trading and risk to field operations and critical infrastructure.

If you want to work on complex, high‐impact problems using modern engineering practices, and help build reusable platforms that will shape how Centrica operates over the next decade, this is the place to do it.
** An opportunity to play your part
** The AI Software Engineer is responsible for designing, building and operating artificial intelligence and machine learning solutions that deliver measurable customer and business value.

This role focuses on taking AI from experimentation into production, developing reliable, scalable and responsible AI services that can be embedded into products and platforms.

Working closely with product, engineering and data teams, the AI Engineer applies modern machine learning and generative AI techniques to solve real problems, improve decision making and automate complex tasks, while ensuring solutions meet security, governance and ethical standards.
** Location**: UK-based hybrid role, Occasional travel to site.
** Day to day
*** Design, build and deploy AI and machine learning solutions that deliver measurable customer and business value.
* Develop, train and optimise machine learning and generative AI models for use in production systems.
* Build and operate scalable data pipelines, model training workflows and inference services using cloud native and managed AI platforms.
* Collaborate with product managers, engineers and data teams to translate business problems into effective AI solutions.
* Own the quality, performance and reliability of AI solutions, including monitoring, retraining and continuous improvement.
* Implement responsible AI practices, ensuring solutions meet security, privacy, governance and ethical standards.
* Evaluate and select appropriate AI tools, models and platforms, making build vs buy recommendations where appropriate.
* Support live AI services by investigating incidents, analysing model behaviour and resolving production issues.
* Continuously explore and apply new AI techniques, frameworks and approaches where they deliver clear benefit.
* Take ownership for delivering agreed outcomes, raising risks early and contributing to team delivery and learning.
** What we need from you
*** Degree in Computer Science, Data Science, Engineering or related discipline, or equivalent practical experience.
* Several years in software engineering with at least 2 to 3 years developing AI or machine learning solutions in production environments.
* Experience integrating AI models into enterprise platforms and customer facing systems.
* Strong capability in machine learning frameworks, data modelling and API based integration.
* Ability to translate business problems into AI solutions. Understanding of data governance, model evaluation and ethical considerations.
* Demonstrated experience working as an AI or…