Raytheon UK
Artificial Intelligence Engineer
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Senior AI/ML Engineer (Military Training Systems)
Date Posted: 2026-05-27 Location: Warminster, Wiltshire, Hybrid
About OMNIA® Training
At OMNIA® Training, we’ve united the UK’s most innovative defence training organisations under a bold mission: To transform the British Army’s training system and deliver the best-trained Army in the world.
Backed by British innovation and powered by world-class expertise, OMNIA sits at the heart of the UK’s Land Industrial Strategy. We’re rewriting military collective training—and we’re seeking the brightest minds to shape its future.
You’ll work in a matrix organisation, reporting through OMNIA Training and OMNIA AI Solutions, ultimately championing innovation for the British Army.
Key Responsibilities
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Solution Architecture & Implementation
- Develop and deploy AI/ML solutions aligned with Army training objectives and OMNIA architecture principles.
- Ensure emerging AI tools and platforms are evaluated forВоенные training applications.
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ML Pipeline Management
- Build and maintain end-to-end ML pipelines, including:
- Data pre-processing & feature engineering
- Model training, validation, and performance evaluation
- Continuous monitoring & tuning for operational effectiveness
- Build and maintain end-to-end ML pipelines, including:
-
Secure Systems Integration
- Integrate AI models into secure, operational environments, adhering to:
- DevSecOps pipelines
- Platform constraints & compliance requirements
- Integrate AI models into secure, operational environments, adhering to:
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Collaboration & Knowledge Sharing
- Partner with data engineers, software teams, and stakeholders to ensure scalable, secure, and maintainable AI components.
- Translate complex technical concepts for non-technical audiences via demos and briefings.
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Ethical & Governed AI
- Apply responsible AI principles, including:
- Bias mitigation & explainability
- Data governance & regulatory compliance in defence contexts
- Apply responsible AI principles, including:
-
Documentation & Continuous Improvement
- Produce technical specifications for maintainability, auditing, and knowledge transfer.
- Actively upskill through mentorship and learning emerging technologies.
Who We’re Looking For
You’re a mission-driven problem-solver, driven by collaboration—not bureaucracy. Your mindset keeps construction and lessons central. You prioritise what needs to happen over procedural hurdles, and your ability to transfer insights across the OMNIA team is a catalyst for progress.
The ideal candidate will excite challenges in the Army’s training evolution—directly shaping AI/ML integration, data pipelines, deployment workflows, and ethical practices. While ensuring on-trend software engineering practices and maintaining operational relevance.
Essential Skills & Experience
✅ Technical Proficiencies
- Python as a core language for AI/ML development.
- Hands-on ML framework expertise (e.g., PyTorch, TensorFlow, scikit-learn).
- ML pipeline design and deployment (data ingestion, pre-processing, training, evaluation → production).
- Proficiency in model validation, performance metrics, and tuning strategies.
- Experience integrating AI via APIs/microservices (REST, gRPC, etc.).
- Familiarity with version control (Git) and collaborative CI/CD workflows.
- Cloud/controlled compute resources’ configuration or utilisation (AWS, Azure, on-premises).
- Containerisation (Docker, Kubernetes) and secure packaging for deployment.
- Secure coding principles, data protection compliance (GDPR/DjD).
- Documentation for technical audits, maintainability, and stakeholder support.
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✅ Ethical & Operational Mindset
- Awareness of responsible AI considerations (e.g., bias, interpretability).
- Adaptability to regulated or governed environments (DoD/UK MOD standards).
- Authentic stakeholder engagement—bridging technical gaps for departments.
✅ Soft Skills
- Analytical & problem-solving mindset with urgency orientation.
- Cross-team collaboration in fast-paced environments.
- Technical communication ability to explain complex topics clearly.
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