AI Engineer

Deltra group; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global investment group in London is looking for a sharp AI Engineer to build and deploy cutting-edge AI solutions. You will partner with domain experts to develop bespoke LLM-powered applications, drive adoption across teams, and utilize MLOps skills to monitor and refine models in production. Ideal candidates should have 6-8 years in applied AI/ML with experience in RAG systems, Azure ML, and excellent communication skills. This role requires working from the London office 4-5 days weekly.

Qualifications

• 6-8 years of applied AI/ML experience, ideally with LLMs and enterprise deployment.
• Hands-on experience with RAG systems and Azure ML tools.
• Confidence working with business users to design AI tools.

Responsibilities

• Build and deploy AI products using Azure ML and Fabric tools.
• Lead Co-Pilot enablement and shape data governance around AI use.
• Work closely with users to develop solutions that drive measurable results.

Skills

Applied AI/ML experience

Experience with RAG systems

MLOps skills

Strong communication skills

Tools

Azure ML

LangChain

LangGraph

Fabric tools

Job description

Overview

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 production

What You’ll Bring

• 6-8 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 skills

Why 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 London office 4-5 days a week