AI Engineering Manager

Salary: £60,000 - 100,000 per year Requirements: • 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. Responsibilities: • Provide technical leadership and guidance to our 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 productisation of machine learning and AI solutions. • Collaborate with data scientists, product owners, business stakeholders, and data engineers to translate business requirements into practical AI solutions and deliver outcomes aligned to business priorities. • Ensure operational excellence across AI engineering by embedding quality, security, reliability, and continuous improvement into delivery. • Mentor and develop AI engineers, creating an environment that supports collaboration, continuous learning, innovation, and a growth mindset. • Stay informed about emerging AI, MLOps, and engineering practices so our team continues to operate at the forefront of innovation. Technologies: • AI • AI Agents • Azure • CI/CD • Cloud • Databricks • DevOps • Support • LLM • Machine Learning • MLOps • PyTorch • Python • RAG • Security • TensorFlow More: We are Centrica, a family of brands revolutionising how we power the planet. We are much more than an energy company, with around 21,000 colleagues working together to create a greener, fairer future by building an energy system that does not rely on fossil fuels and by making a positive difference in our communities. This is an AI Engineering Manager role reporting to the Director of AI & Data Science, where we combine technical leadership with hands-on engineering to deliver secure, reliable, enterprise-grade AI and LLM solutions. We offer total rewards designed to support our people and their families financially, physically, and emotionally, with flexibility to choose what they need when they need it. We are a people-first organisation where your voice matters, your growth is non-negotiable, and your ambitions are our priority. last updated 38 week of 2026