AI Engineer - London

AI Engineer - London - hybrid working

Up to £51,000 + perm benefits

We are seeking an AI Engineer to join an ambitious digital transformation programme focused on driving the adoption of Artificial Intelligence across a large and complex higher education environment. This is a fantastic opportunity for someone who is passionate about AI, automation and emerging technologies. You'll play a key role in identifying opportunities for AI-driven improvements, developing innovative solutions, and helping to define how AI is adopted across the organisation.

The Role

• Working within a newly established AI programme, you will help identify business challenges and design practical AI-powered solutions that automate manual processes, improve productivity and enhance user experiences.
• You will work closely with stakeholders across the organisation to understand problems, develop proof of concepts, build AI solutions and collaborate with both internal and third-party development teams to deliver successful outcomes.
• This position is focused on AI applications, intelligent agents and workflow automation rather than infrastructure or traditional software engineering.

Key Responsibilities

• Design and develop AI-powered applications and automation solutions.
• Build AI assistants, agents and copilots using Microsoft Copilot Studio, Azure AI and Power Platform technologies.
• Identify opportunities to automate manual processes and improve operational efficiency.
• Develop proof-of-concepts and rapidly prototype innovative AI solutions.
• Create Python-based services, integrations and automation scripts to support AI initiatives.
• Integrate AI solutions with existing enterprise systems and applications.
• Apply prompt engineering, orchestration techniques and modern AI best practices.

About You

• Around 2-3 years' experience in AI, automation, software development or a related technology discipline.
• Experience with Microsoft Copilot Studio.
• Exposure to Azure AI services and the wider Microsoft AI ecosystem.
• Strong Python skills.
• Experience developing automation and workflow solutions.
• Understanding of Large Language Models (LLMs) and prompt engineering.