AI Engineer

La Fosse Associates; Greater London; Hybrid; GBP 120,000; Full time

Job summary

A fast-growing investment organisation in the UK seeks an AI Engineer to lead its Data & AI transformation. In this critical role, you will design and implement AI solutions using Azure technologies, establish foundational MLOps practices, and shape early AI adoption across the business. Ideal candidates will have strong experience in AI/LLM solutions on Azure, excellent Python skills, and the ability to work independently. This position offers a salary of £120k with a 30% bonus plus benefits and requires 4 days onsite in London.

Benefits

Health insurance

Monthly lunch allowance

Qualifications

• Strong experience building AI/LLM solutions on Azure or similar cloud environments.
• Solid Python skills with familiarity in ML frameworks.
• Ability to operate independently in ambiguous environments.

Responsibilities

• Design and deliver AI-powered products and workflows.
• Build and operationalise AI/LLM solutions using Azure AI.
• Establish core MLOps practices including deployment and monitoring.

Skills

Building AI solutions

LLM solutions on Azure

RAG implementation

Python engineering

Workflow orchestration

Customer-centric problem solving

Tools

Azure AI

Azure Machine Learning

OpenAI GPT models

Job description

AI Engineer

London – 4 Days Onsite

£120,000 + 30% Bonus + Benefits

A fast-growing investment organisation is at the beginning of its Data & AI transformation and is looking for a hands-on AI Engineer to build its first generation of AI capabilities. This is a rare greenfield opportunity to architect and deliver AI solutions using the latest Azure and LLM technologies while shaping how AI is adopted across the business.

The Role

Working directly with the Head of AI, you will design and deliver AI-powered products, build agentic workflows, and establish foundational MLOps practices. You will play a critical role in identifying high-value AI opportunities, translating business requirements into solutions, and leading the organisation through early AI adoption.

Key Responsibilities

• Build and operationalise AI / LLM solutions using Azure AI , Azure Machine Learning , and the wider Microsoft ecosystem.
• Develop agentic workflows using frameworks such as Autogen, Swarm, or LangGraph.
• Design and implement RAG (Retrieval-Augmented Generation) systems and integrate them into business processes.
• Integrate OpenAI GPT models , embeddings, and vector stores into production-grade solutions.
• Deliver early AI / ML use cases (“quick wins”) while shaping the long-term AI platform architecture.
• Establish core MLOps practices including model deployment, monitoring, drift detection, and cost / latency optimisation.
• Support CoPilot adoption and help establish AI governance controls, standards and usage guidelines.
• Collaborate with domain experts to translate requirements into practical AI applications with measurable outcomes.
• Work alongside Data & Platform Engineering to ensure data readiness and platform integration.

What We’re Looking For

• Strong experience building AI / LLM solutions on Azure AI , Azure ML, or similar cloud environments.
• Practical experience implementing RAG pipelines , embeddings, and vector search.
• Exposure to agent-based architectures and workflow orchestration.
• Solid Python engineering skills, including familiarity with ML frameworks and LLM toolchains.
• Experience productionising LLMs, including monitoring, governance and optimisation.
• Ability to operate in ambiguous, low-maturity environments and “figure things out” independently.
• Comfortable working with business teams to uncover opportunities and communicate clearly.
• Financial services experience helpful but not essential.

Soft Skills That Matter

• Customer-centric and pragmatic problem solver
• Strong communicator able to simplify complex AI concepts
• Consultative mindset with empathy for non-technical
• Proactive autonomous and systems-oriented thinker

Benefits

• £120k salary + 30% bonus
• Health insurance
• Monthly lunch allowance

Office-first hybrid: 4 days a week onsite in London

High influence on early AI strategy, tooling and architectural choices

Opportunity to build a first-of-its-kind AI platform from the ground up