AI Engineer

AI Engineer (LLMs / Azure / MLOps) Global Professional Services Firm Location: London Working: Hybrid (3 days office / 2 days remote) Salary: Up to £85k + benefits

The Role An exciting opportunity to join a global professional services organisation investing heavily in AI, with a focus on delivering enterprise-grade AI products that solve complex, document-centric business challenges.

You will design, build and deploy production-ready AI solutions across the Microsoft Azure ecosystem. This is a hands-on engineering role focused on taking LLM-powered applications from experimentation into scalable, secure and reliable production environments.

We're particularly interested in engineers who have built AI solutions around document intelligence, enterprise search, knowledge management, NLP or Retrieval-Augmented Generation (RAG), rather than purely research-focused AI.

Key Responsibilities

Design, build and deploy production-ready LLM and Machine Learning solutions using Azure Databricks, Azure Machine Learning and Azure AI Foundry

Develop scalable AI applications using modern orchestration frameworks including LangChain and LangGraph

Build agentic AI workflows and enterprise AI services using retrieval, tool-calling and orchestration patterns

Deliver end-to-end AI/ML pipelines covering experimentation, deployment, monitoring and optimisation

Apply MLOps and LLMOps best practices across model lifecycle management, governance and production monitoring

Work closely with Data Engineers, Platform Engineers and business stakeholders to deliver enterprise AI solutions

Contribute to AI products across document intelligence, knowledge search, workflow automation and AI assistants

Help shape engineering standards, Responsible AI practices and cloud governance across the AI platform

Key Requirements

Commercial experience building and deploying LLM-powered applications into production

Strong hands-on experience with Azure Databricks, Azure Machine Learning and ideally Azure AI Foundry

Good understanding of MLOps and LLMOps

Excellent Python engineering skills with experience using frameworks such as LangChain, LangGraph, PyTorch and Pydantic

Experience with RAG, vector search, embeddings, prompt engineering and enterprise retrieval architectures

Experience building AI solutions within document-heavy environments such as legal, financial services, insurance or similar enterprise organisations would be highly advantageous

Experience with Docker, Kubernetes, MLflow, CI/CD and Git-based development

Strong communication skills with the ability to work across technical and non-technical teams

This is an excellent opportunity to join a business at the start of an exciting AI transformation, working on real-world AI products that are already delivering value across the organisation.

No sponsorship available.

Get in touch for more details -

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.