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AI Engineer - Financial Service Consulting

DatatechLondon🇬🇧United KingdomPosted 20 Jun 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to shape cutting-edge AI solutions within a reputable financial services consulting firm, providing significant career growth and the chance to work with advanced technologies like LLMs and RAG. You'll thrive here if you have a strong software or data engineering background with practical AI implementation experience, and enjoy collaborating to deliver impactful, production-grade AI platforms. Apply now to leverage your skills and contribute to exciting projects in a dynamic environment.

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

AI Engineer - FS consulting
London

A leading consulting and technology firm is seeking AI Engineers and Technical AI Leaders to join their team in London on a hybrid basis. The business delivers production-grade AI solutions across banking, risk, fraud and enterprise platforms, and is growing its engineering capability across multiple seniority levels, from Engineer through to Senior Manager.

Key Responsibilities

In this role you will design and build AI-enabled platforms and intelligent workflows, working with large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. You will develop scalable backend services and AI integrations, collaborating closely with engineering, architecture and business teams throughout. You will also support AI deployment, governance and operational rollout to ensure solutions are production-ready and compliant.

What We're Looking For

The ideal candidate will bring strong foundations in software or data engineering, combined with hands-on experience delivering AI or AI-enabled solutions in a professional environment. You should have exposure to cloud platforms and modern data infrastructure, and experience working within Financial Services or another regulated industry is essential.

Technical skills relevant to this role include Python and SQL, LLM development techniques such as prompt engineering, fine-tuning and RAG, frameworks including LangChain and LangGraph, agent frameworks, vector databases, FastAPI, and cloud platforms such as AWS, Azure, GCP or Databricks. Familiarity with CI/CD, MLOps and LLMOps practices is also expected.

Strong communication skills and the ability to engage effectively with stakeholders across technical and business functions are important at all levels.

Skills

FastAPI
GCP
SQL
AWS
MLOps
Azure
Databricks
LLM
Python

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