ML & AI Engineer

Posted 05 March 2026
LocationLondon
Job type Contract
Discipline TechnologyCommodities and Financial Services

Job description

Job Title: ML & AI Engineer

Location: London- 3Days/week Onsite

Duration: 6months+ Contract Inside IR35


Job Overview

We are looking for an ML & AI Engineer to support the development of advanced AI-driven solutions for conversational banking and customer engagement. The role involves building AI products, developing agentic workflows, and integrating AI systems with banking platforms across cloud environments.


Key Responsibilities

  • Develop and provision infrastructure to support agentic workflows across Azure and GCP environments.

  • Contribute to the design and development of AI solutions, including the Coach AI and AI Assistant platforms.

  • Build agent integration patterns that enable systems to perform actions on behalf of customers using banking systems.

  • Develop new AI products within the Conversational Banking Lab.

Key initiatives include:

  • Agent summarisation – building features that summarise complex conversations.

  • App search evolution – transforming vector search into a generative AI experience with a unified user interface.

  • Evaluation methods – automating testing and evaluation of both deterministic and generative AI conversations.


Required Skills

Must Have

  • Python – minimum 2+ years experience building production-grade LLM applications.

  • Strong software engineering fundamentals, including microservices architecture, CI/CD pipelines, and event-driven architecture.

  • AI Engineering experience including:

  • RAG pipelines

  • Prompt engineering

  • Vertex AI

  • LLMOps and monitoring/evaluation of AI systems

  • Data Engineering experience building scalable pipelines using Python or Spark.

  • Experience with GCP services such as BigQuery, Spanner, Dataflow, and Firestore.

Nice to Have

  • Experience with Agentic AI frameworks such as LangGraph, ADK, CrewAI, or multi-agent architectures.

  • Experience designing deployable AI solutions (beyond notebook-based experimentation).

  • Knowledge of data ontologies and graph-based data storage and retrieval.

  • Experience working in Agile/Scrum environments.

If this position is of interest, we'd love to hear from you!