The environment is heavily aligned to Oracle technologies, so experience with Oracle’s cloud-native AI stack is strongly desired (but not essential).
Key Responsibilities/Experience
• Design, prototype and deliver AI/ML PoCs (RAG pipelines, LLM-powered services, agent-based automation, generative use cases) aligned to Defence workflows and mission needs.
• Build high-performance backend components to support AI workloads, including retrieval layers, vector pipelines, inference services and integrations with platform-native AI capabilities.
• Engineer, fine-tune and optimise ML/LLM models for training, inference, latency and cost efficiency in secure cloud environments.
• Oracle AI stack (OCI Language, Vision, Speech, Generative AI, AI Agents) to build demonstrators aligned to programme objectives and operational scenarios.
• Ensure all AI solutions comply with MOD security constraints, cloud governance, auditability requirements and responsible-AI principles.
• Work closely with data engineering teams, application/integration specialists and security SMEs across a geographically dispersed programme delivery organisation.
• Contribute to SDLC processes (Agile/Iterative), including JIRA-managed workflow tracking and stakeholder playback sessions.
Essential Skills
• Strong backend engineering background delivering high-scale systems with AI components (Python/Java, RAG frameworks, vector databases, API engineering).
• Demonstrable experience fine-tuning and optimising LLM/ML models and associated training/inference pipelines.
• Solid understanding of cloud security patterns and guardrails in regulated environments.
• Ability to communicate complex AI concepts to senior Defence stakeholders with varying technical backgrounds.
• UK Citizen with SC (minimum) or able to obtain clearance.
Desirable
• Knowledge of Oracle ADW, OAC, Fusion or Integration Cloud.
• Hands-on experience with OCI AI Services and Oracle’s emerging AI ecosystem.
• Prior experience in Defence, Central Government or other highly regulated sectors.

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