ML & AI Engineer

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 summarization – 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.

Priyanka Sharma

Senior Delivery Consultant

Office: 02033759240

Email: [email protected]