AI Developers (Python) at Deloitte, UK Office/Remote, 6 Months initial (2027 Start), £Contract Rates
- Contract Spy
- Hybrid (United Kingdom)
- Oct 23, 2026
Contract Description
Role: AI Developer (Python)
Location: Hybrid working with occasional visits to the office in London, Midlands, Bristol or Northwest, and the rest of the time is UK remote
Start: Spring 2027
Contract Duration: Full-time role (Monday to Friday) 6 months initially (inside IR35)
Payroll provider: Rockford Payroll Info for Contingent Workers – Rockford Pay
About The Role
Deloitte are seeking experienced AI Developers (Python) with the following skills/experience across various levels, junior to senior. These roles sit within the Defence & Security domain, therefore previous experience is required. Please note that these roles are not starting until Spring 2027:
Location: Hybrid working with occasional visits to the office in London, Midlands, Bristol or Northwest, and the rest of the time is UK remote
Start: Spring 2027
Contract Duration: Full-time role (Monday to Friday) 6 months initially (inside IR35)
Payroll provider: Rockford Payroll Info for Contingent Workers – Rockford Pay
About The Role
Deloitte are seeking experienced AI Developers (Python) with the following skills/experience across various levels, junior to senior. These roles sit within the Defence & Security domain, therefore previous experience is required. Please note that these roles are not starting until Spring 2027:
- Experience building production AI applications, not just proofs of concept.
- Hands-on development experience with LLMs and GenAI platforms (OpenAI, Azure OpenAI, Claude, Gemini, etc.).
- Experience developing AI agents and multi-agent workflows.
- Strong Python development skills.
- Experience with Azure AI services and wider Azure cloud engineering.
- Experience integrating AI capabilities into existing enterprise applications and processes.
- Knowledge of RAG (Retrieval-Augmented Generation) architectures.
- Experience designing and consuming APIs.
- Experience orchestrating AI workflows using frameworks such as LangChain, Semantic Kernel, AutoGen or similar.
- Experience deploying solutions using DevOps/MLOps practices.
- Familiarity with containerisation (Docker, Kubernetes).
- Experience with Microsoft ecosystem technologies (Copilot Studio, Power Platform, Microsoft Fabric, Azure AI Foundry) would be advantageous.
- Understanding of AI governance, security and responsible AI controls
- Previous experience is required within the Defence & Security domain
- Experience handling sensitive or regulated data.
- Demonstrable experience within government, defence, policing or highly regulated sectors.
- Evidence of translating business requirements into technical AI solutions.
- Experience working directly with business stakeholders rather than purely technical teams is advantageous.
- Strong problem-solving and solution design capability.
- Ability to work across the full lifecycle: discovery, design, build, test and deployment.
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