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Lead Engineer, AI Engineer, Machine Learning​/ ML Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Nigel Frank
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 65000 - 105000 GBP Yearly GBP 65000.00 105000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Lead Engineer - Generative AI - Hybrid - London - £65,000 - £105,000

This is your chance to join a global organisation in a forward-thinking engineering group, working right at the core of their Generative AI strategy. You will be building real AI products used by thousands of employees every day, tools that genuinely transform how a global, highly regulated enterprise operates.

The business is investing heavily in agentic AI and LLM-driven solutions, and this team sits at the centre of that transformation. Expect modern tooling, supportive leadership and a roadmap that works.

If you want a role where your work hits production fast, where you influence strategy, and where you help define the future of AI in a complex, regulated environment, this is the one to move for.

Responsibilities
  • Designing, developing, and deploying high-quality Python-based AI applications.
  • Building LLM-driven and agentic AI features used daily by thousands of internal users.
  • Working hands‑on with AWS services including Bedrock, Lambda, S3, Lex and Cloud Watch.
  • Evaluating LLMs, optimising prompts, and driving AI capability across the organisation.
  • Leading and mentoring two early-career engineers (BA4 level).
  • Collaborating with product, architecture and platform teams on solution design.
Benefits
  • Competitive salary + discretionary annual bonus.
  • Hybrid working.
  • Private medical, pension and comprehensive wellbeing support.
  • Access to cutting‑edge AI tooling and dedicated learning budgets.
  • The scale, stability and progression opportunities.
  • A collaborative culture focused on development, inclusion and impact.
Key Experience
  • Hands‑on experience with Large Language Models (LLMs).
  • Exposure to AWS or Azure with willingness to upskill.
  • Experience evaluating LLM performance and prompt optimisation.
  • Strong communication and ability to work cross‑functionally.
  • Experience mentoring or supporting junior engineers.
  • 6‑12 months+ direct experience with LLMs or agentic AI.

Ready to take the next step? Roles in this team move quickly, so if you want to genuinely influence AI strategy, lead impactful work and accelerate your career, now is the time to apply!

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