ML & AI Engineer
27 days ago
London
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