ML & AI Engineer

Role: ML & AI Engineer Location: London,UK Job type : Contract Mode of work : Hybrid -2 days onsite in a week JD: Key responsibilities * 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: 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 solutions, not jupyter notebooks * Data ontologies - graphical approaches to data storage + retrieval • Exposure to Agile/Scrum methodologies