Position: ML and AI Engineer Location: London, UK (Hybrid-3 days a week from office) long term contract position Program Scope: Developing and provisioning of infrastructure that support agentic workflows across both Azure and GCP Data science expertise to help shape the agentic solution design of Coach AI as well as target state AI Assistant Creation of agent integration patterns to fulfil and action on behalf of customers by leveraging Bank systems Development of new AI products for the Conversational Banking Lab, including but not limited to: Agent summarisation - bespoke features to summarise nuanced conversations App search evolution - transforming the existing vector search functionality into a fully generative experience and transition to single experience point Evaluation methods - continued automation of both deterministic and generative conversations in a scaled and simulated way Key Skills/Knowledge: ML and AI Engineer Must haves Python literacy - min 2years+ working on production grade LLM based applications Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring Data engineering - scaled data pipelines using python/spark. GCP native services: BQ, Spanner, Dataflow, Firestore Nice to haves AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable