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For Companies At a Glance
- Tasks: Design and deliver AI/ML proof-of-concepts for Defence and National Security.
- Company: Join a leading UK Defence digital transformation programme.
- Benefits: Competitive contract, opportunity to work with cutting-edge Oracle technologies.
- Why this job: Make a real impact in Defence while advancing your AI skills.
- Qualifications: Experience in backend engineering and AI/ML model optimisation.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Catalysing IT & Engineering Delivery in Defence, National Security and Industry. This role sits within a major UK Defence digital transformation programme, driving the design, build and demonstration of AI/ML proof‑of‑concepts across sensitive mission data, legacy estates and modern cloud platforms. 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.
- Utilise 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.
- 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.
- 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.
Oracle AI Consultant employer: Frontier Resourcing
Contact Detail:
Frontier Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Oracle AI Consultant
✨Tip Number 1
Network like a pro! Reach out to folks in the Defence and IT sectors, especially those who work with Oracle technologies. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got any AI/ML projects or proof-of-concepts under your belt, make sure to highlight them in conversations. Real-world examples speak volumes!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Oracle’s AI stack. Being able to discuss how you’d apply these tools in Defence scenarios will set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Oracle AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Oracle technologies and AI/ML projects. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in Defence and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: When filling out your application, make sure to mention specific tools and technologies you’ve worked with, especially those related to Oracle’s AI stack. We’re keen on seeing your hands-on experience with backend engineering and ML models.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Frontier Resourcing
✨Know Your Oracle AI Stack
Familiarise yourself with Oracle's cloud-native AI technologies, even if you don't have extensive experience. Brush up on OCI Language, Vision, Speech, and Generative AI. Being able to discuss how these tools can be applied in Defence contexts will impress your interviewers.
✨Showcase Your Backend Engineering Skills
Prepare to talk about your experience with backend systems, especially in Python or Java. Be ready to share specific examples of high-scale systems you've worked on, particularly those involving AI components. Highlight any work with RAG frameworks or vector databases.
✨Understand Security and Compliance
Since this role involves sensitive data, demonstrate your understanding of cloud security patterns and MOD security constraints. Be prepared to discuss how you've ensured compliance in previous projects, as this will show your awareness of the importance of security in Defence.
✨Communicate Complex Concepts Simply
Practice explaining complex AI/ML concepts in a way that non-technical stakeholders can understand. This is crucial for the role, so think of examples where you've successfully communicated technical information to diverse audiences. It shows you can bridge the gap between tech and business needs.
