Contract Senior AI Engineer/ London
Security Clearance: Active SC required

The Opportunity

We’re looking for a Senior AI Engineer to design, build and run cutting-edge AI-enabled applications that drive real organisational impact.

This is a hands-on engineering role focused on applying advanced AI (especially large language models) in live services—rather than developing new algorithms from scratch.

You’ll work at the forefront of:

• AI Assistants
• Agentic systems
• Retrieval-Augmented Generation (RAG)
• Enterprise-grade AI solutions

What You’ll Be Doing

• Designing and delivering AI-powered applications using modern cloud platforms
• Building and operating LLM-based systems, including RAG pipelines and agents
• Developing robust, scalable solutions using software engineering best practices
• Integrating AI capabilities into existing systems and workflows
• Monitoring performance, cost, reliability, and security of AI services in production
• Collaborating with cross-functional teams to bring AI ideas to life
• Ensuring AI systems meet ethical, governance, and compliance standards
• Supporting experimentation, proofs of concept, and continuous improvement

🛠️ Tech & Tools

You’ll work with technologies such as:

• Python
• Azure AI / cloud platforms
• Microsoft Copilot Studio
• Azure OpenAI & AI Foundry
• APIs, CI/CD pipelines, version control

What We’re Looking For

Essential:

• Strong experience delivering AI applications into production
• Solid software engineering background (Python, cloud-based systems)
• Hands-on experience with large language models (LLMs)
• Experience working in multidisciplinary delivery teams
• Ability to shape and recommend AI use cases with real business value

Desirable:

• Experience in regulated or public sector environments
• Familiarity with agile or user-centred delivery approaches

What Makes This Role Different

• Focus on real-world AI impact, not academic modelling
• Ownership of solutions from design through to live operation
• Opportunity to work on secure, scalable, and responsible AI systems
• Exposure to emerging AI patterns like agentic workflows and assistants

Key Skills

• Software engineering & system integration
• LLM application design & prompt engineering
• Data ethics, governance, and security awareness
• Stakeholder communication (technical & non-technical)
• Understanding of product delivery and business value

What You’ll Deliver

• Production-ready AI applications
• Scalable and secure solution architectures
• Measured and monitored AI systems
• Reusable components and technical documentation