AI Engineering Manager

Significant experience in AI Engineering, Machine Learning, Software Development, or a related technical discipline, with a proven track record of delivering AI and machine learning solutions into production environments.

Experience leading, mentoring, and developing high-performing technical teams, creating a culture of collaboration, innovation, continuous improvement, and professional growth.

Hands-on experience designing, building, and deploying Large Language Model (LLM) powered solutions and generative AI applications at enterprise scale.

Strong Python development skills, with experience using machine learning frameworks such as PyTorch, TensorFlow, and Scikit-learn.

Deep understanding of AI Engineering, MLOps practices, and modern LLM technologies, including prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and model orchestration frameworks.

Experience implementing and managing MLOps capabilities, including model lifecycle management, deployment automation, experiment tracking, monitoring, governance, and machine learning pipelines.

Proven experience working with cloud platforms and modern engineering practices, including Azure, Databricks, CI/CD pipelines, version control, and DevOps methodologies.

The ability to design, build, deploy, and support scalable, secure, reliable, and production-grade AI solutions.

Strong technical leadership skills, with the ability to shape architecture, define engineering standards, guide technical decision-making, and drive delivery excellence.

Experience delivering complex technology programmes and balancing innovation with operational reliability and business priorities.

The ability to mentor and coach engineers, foster technical excellence, and build capability within the wider AI Engineering team.

Strong stakeholder management and communication skills, with the ability to engage and influence senior leaders, product owners, data scientists, engineers, and business stakeholders.

Experience translating business requirements and challenges into practical technical solutions that deliver measurable commercial value.

Strong analytical thinking and problem-solving skills, with the ability to navigate ambiguity, manage competing priorities, and make sound engineering decisions.

An understanding of data governance, responsible AI principles, and the regulatory considerations associated with AI solutions.

Commercial awareness and an appreciation of how AI, data, and emerging technologies can drive business outcomes within a large, complex organisation.

A degree in Computer Science, Engineering, Mathematics, Data Science, or a related discipline, or equivalent practical experience.

Relevant certifications in AI, Machine Learning, Cloud Technologies, Data Engineering, or MLOps would be advantageous.

Why should you apply? We’re not a perfect place – but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you. https://www.morethanacareer.energy/centrica

If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.

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