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.