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AI Developers (Python) | Contract | UK based

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United Kingdom
Work type
Hybrid
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Job 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:
  • 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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