AI Developers (Python) | Contract | UK based

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:

• 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
  

Required Skills/Experience:

• 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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