AI Engineering Manager : London : £110k+ in London

New Today

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job Description
We’re working with a large enterprise client to appoint an AI Engineering Manager to lead the delivery of enterprise-scale AI solutions, with a focus on LLMs, AI agents, and GenAI platforms.
This is a technical leadership role—not hands-on coding day to day, but requiring sufficient depth to challenge design decisions, assure quality, and guide senior engineers.
The Role
You’ll be responsible for building and leading an AI engineering function, owning delivery from early experimentation through to production deployment, and partnering closely with architecture, product, and governance teams.
Key Responsibilities
Own the technical direction of LLM and AI agent initiatives Lead and mentor AI engineers delivering enterprise-scale solutions Translate business problems into robust AI architectures Ensure AI systems are secure, scalable, and production-ready
Required Experience
Proven leadership in managing technical teams and complex delivery AI delivery experience, including GenAI, LLM-based systems, AI agents, or conversational AI Strong technical foundation in software engineering principles (Python ) Business-focused mindset, able to evaluate AI initiatives through an ROI lens Cloud and AI knowledge, including LLMs, RAG, prompt engineering, and modern AI tooling Solid Python knowledge Familiarity with Claude and similar frontier models Production experience using LangChain PhD, MSc or BSc in a AI/ML or similar discipline
Desirable
RAG architectures, embeddings, and vector databases Prompt management, evaluation, and observability Cloud deployment (AWS, Azure, or GCP) Enterprise concerns: security, governance, and cost control Strong stakeholder communication and technical decision-making
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
Apply
Location:
London
Job Type:
FullTime
Category:
Manager, Engineering,, Engineering, Engineering Manager, Management

We found some similar jobs based on your search