Role / Job Title: AI ML Engineer Work Location: London Office Requirement (Hybrid): 2 times / week Any Other Working Conditions (Travel / On-call / Shifts): May require travel to other Llyods Office on demand (will be reimbursed) The Role This is for an Agentic AI Role in Lloyds Banking Group . Key Responsibilities Build scalable data pipelines and workflows on GCP (Big Query, Vertex AI, Dataflow, Pub/Sub, Redis and NoSQL Databases, maintaining chat history, etc.) Implement best practices for data governance, security, and MLOps on GCP Optimize model performance, monitor production systems, and ensure reliability, auto scaling using Prometheus, Dynatrace, and Lang Smith Desirable Skills / Knowledge / Experience Hands-on experience with GenAI, Gemini, or open-source LLMs; train, fine-tune, and onboard new LLMs Experience in building GenAI applications using Python Hands-on experience with API development and microservices architecture and end-to-end integrations Knowledge of RAG (Retrieval-Augmented Generation) and ADK, MCP Solid understanding of LLMs, prompt engineering, and graph-based workflows Hands-on experience with API development and microservices architecture Experience in CI/CD pipelines and containerization (Docker / Kubernetes), Harness, and Git Actions Build scalable data pipelines and workflows on GCP (Big Query, Vertex AI, Dataflow, Pub/Sub, Redis and NoSQL Databases, maintaining chat history, etc.) Implement best practices for data governance, security, and MLOps on GCP Knowledge of API Gateways and ISTIO, ability to diagnose and intercept failures in end-to-end communication Optimize model performance, monitor production systems, and ensure reliability, auto scaling using Prometheus, Dynatrace, and Lang Smith TPBN1_UKTJ
Job Title
AI ML Engineer