Staff ML Engineer

Salary: £? - ? per year

Requirements:

• Deep experience with Python
• Strong experience with AWS
• Hands-on experience with LangChain
• Hands-on experience with LangGraph
• Experience with Retrieval Augmented Generation (RAG)
• Experience with vector databases
• Experience with MLOps
• Experience with production machine learning platforms
• Experience with AI governance and engineering best practice
• Experience with PyTorch, TensorFlow, or Scikit-learn
• Ability to design robust, scalable AI systems
• Ability to influence engineering standards across multiple product teams

Responsibilities:

• Define engineering standards for enterprise AI
• Drive adoption of Agentic AI across multiple engineering teams
• Design production-grade RAG architectures
• Establish LangGraph and LangChain implementation patterns
• Design scalable vector database retrieval strategies
• Lead best practice across MLOps, CI/CD, and model deployment
• Improve AI testing, evaluation, and observability
• Implement guardrails and hallucination mitigation
• Influence senior engineering stakeholders without direct line management

Technologies:

• AI
• AWS
• CI/CD
• Machine Learning
• PyTorch
• Python
• TensorFlow
• Cloud

More:

We are a global technology-driven organisation scaling enterprise AI across our UK engineering function. We have already invested heavily in enterprise AI platforms and Agentic AI frameworks, and we are now focused on 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 contract role based in London with three days per week on-site, initially for six months with a long-term programme roadmap, and it is inside IR35.

last updated 30 week of 2026