I'm working with a global investment group that's scaling its Data & AI team — and they're hiring a sharp AI Engineer to help build cutting-edge, business-ready AI solutions from the ground up.
This role is all about turning AI into action: you'll partner with domain experts to build bespoke LLM-powered apps (like internal Co-Pilots and RAG systems), drive adoption across teams, and embed models directly into business processes. Think real impact, not just proof of concept.

What You'll Do:

Build and deploy AI products using Azure ML, LangChain, LangGraph, and Fabric tools
Lead Co-Pilot enablement across the firm and help shape data governance around AI use
Work closely with users to develop solutions that drive measurable results
Use your MLOps skills to monitor, scale, and refine models in productionWhat You'll Bring:

5-8 years of applied AI/ML experience, ideally with LLMs and enterprise deployment
Hands-on experience with RAG systems, agentic workflows, and Azure ML tools
Confidence working with business users to design AI tools they'll actually use
A pragmatic, value-first mindset and strong communication skillsWhy This Role?

Join a growing AI team with genuine buy-in from senior leadership
Own the full lifecycle of AI products — from design to adoption
Global exposure, modern stack, and the chance to shape a future-ready platform
You'll be working from their Knightsbridge office 4-5 days a week