Job Description

Staff ML Engineer | Agentic AI | ML Engineering | London (3 days per week on-site) | Contract | Inside IR35

We're supporting a global technology-driven organisation that's scaling enterprise AI across its UK engineering function.

Rather than building AI capability from scratch, the organisation has already invested heavily in enterprise AI platforms and Agentic AI frameworks. The challenge now is driving consistent adoption, establishing engineering standards and enabling multiple engineering teams to build production-ready AI solutions using common patterns and best practice.

This is a Staff Engineer position where you'll shape the technical direction of AI Engineering across the organisation.

You'll be responsible for

Defining engineering standards for enterprise AI

Driving adoption of Agentic AI across multiple engineering teams

Designing production-grade RAG architectures

Establishing LangGraph and LangChain implementation patterns

Designing scalable vector database retrieval strategies

Leading best practice across MLOps, CI/CD and model deployment

Improving AI testing, evaluation and observability

Implementing guardrails and hallucination mitigation

Influencing senior engineering stakeholders without direct line managementWe're looking for someone with deep experience in:

Python

AWS

LangChain

LangGraph

Retrieval Augmented Generation (RAG)

Vector databases

MLOps

Production Machine Learning platforms

AI governance and engineering best practice

PyTorch, TensorFlow or Scikit-learnMore important than individual technologies is your ability to design robust, scalable AI systems and influence engineering standards across multiple product teams.

Contract

£(Apply online only) per day (inclusive)

Initial 6 months with long-term programme roadmap

Inside IR35

London (3 days per week)