About this role
Salary: £? - ? per year
Requirements: Deep experience with PythonStrong experience with AWSHands-on experience with LangChainHands-on experience with LangGraphExperience with Retrieval Augmented Generation (RAG)Experience with vector databasesExperience with MLOpsExperience with production machine learning platformsExperience with AI governance and engineering best practiceExperience with PyTorch, TensorFlow, or Scikit-learnAbility to design robust, scalable AI systemsAbility to influence engineering standards across multiple product teams Responsibilities: Define engineering standards for enterprise AIDrive adoption of Agentic AI across multiple engineering teamsDesign production-grade RAG architecturesEstablish LangGraph and LangChain implementation patternsDesign scalable vector database retrieval strategiesLead best practice across MLOps, CI/CD, and model deploymentImprove AI testing, evaluation, and observabilityImplement guardrails and hallucination mitigationInfluence senior engineering stakeholders without direct line management Technologies: AIAWSCI/CDMachine LearningPyTorchPythonTensorFlowCloud 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 29 week of 2026