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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