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Lead AI Engineer | Series

Job in Slough, Berkshire, SL1, England, UK
Listing for: Nicholson Glover
Full Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 130000 GBP Yearly GBP 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Lead AI Engineer | AI Tech Start-Up | £100,000-£130,000 DOE + Shares | London / Hybrid (1 Day Office)

We’re partnering with a fast-growing AI tech scale-up expanding its team, who are hiring for a Lead AI Engineer.

This is a rare opportunity to lead the delivery of enterprise-grade Agentic AI solutions - working with ambitious clients at the forefront of applied AI innovation.

The Company

This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence.

Their digital AI agents provide always-on, intelligent insights - supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency.

The Role

As Lead AI Engineer, you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management.

You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes.

The Candidate

Key attributes of the suitable Lead AI Engineer include:

  • Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments.
  • Agentic AI & Modern AI Systems Experience – Hands‑on exposure to LLMs, RAG pipelines, and agentic
  • Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post‑sale
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