ML & AI Engineer

Position: ML & 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 & AI Engineer

Must haves

1. Python literacy - min 2years+ working on production grade LLM based applications
2. Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture
3. AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring
4. Data engineering - scaled data pipelines using python/spark. GCP native services: BQ, Spanner, Dataflow, Firestore

Nice to haves

1. AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks
2. Data ontologies - graphical approaches to data storage + retrieval
   

• Exposure to Agile/Scrum methodologies