You'll work in a matrix organisation and report operationally through OMNIA Training and functionally through the OMNIA AI Solutions Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training.
Responsibilities
* Support the development and implementation of AI/ML solutions ensuring alignment with Army training objectives and Omnia architecture principles.
* Contribute to the design, development, and deployment of AI/ML solutions aligned to Army training objectives and enterprise architecture principles.
* Develop and maintain ML pipelines including data preprocessing, feature engineering, model training, validation, and performance evaluation.
* Support integration of AI capabilities into secure operational environments, ensuring compatibility with DevSecOps pipelines and platform constraints.
* Monitor deployed models, analyze performance metrics, and implement tuning or retraining strategies to maintain operational effectiveness.
* Collaborate with data engineers and software teams to ensure scalable, maintainable, and secure AI components.
* Apply ethical AI principles including bias mitigation, data governance, and regulatory compliance in defence contexts.
* Produce high‑quality technical documentation to support maintainability, auditability, and knowledge transfer.
* Support stakeholder engagement through demonstrations, technical briefings, and translation of complex AI concepts into accessible insights.
* Evaluate emerging AI tools and platforms for applicability to Army training use cases.
* Actively develop technical capability through structured learning and mentorship.
* All other tasks required to deliver the programme.
Qualifications
* Strong Python programming skills for AI/ML development.
* Hands‑on experience with at least one major ML framework (e.g. PyTorch, TensorFlow, scikit‑learn).
* Experience building and maintaining end‑to‑end ML pipelines (data ingestion, pre‑processing, training, evaluation, deployment) and deployment to production environments.
* Understanding of feature engineering, model validation, and performance evaluation techniques.
* Experience integrating ML components into wider software systems via APIs or microservices.
* Experience working with version control (Git) and collaborative engineering practices.
* Experience contributing to CI/CD pipelines and containerised deployments (e.g. Docker, Kubernetes).
* Experience working with cloud or controlled compute environments.
* Ability to document technical solutions for maintainability, audit, and operational support.
* Understanding of secure coding principles and data protection requirements.
* Awareness of responsible AI considerations (bias mitigation, explainability, privacy).
* Ability to work within regulated or governed environments and frameworks.
* Strong analytical and problem‑solving capability.
* Ability to communicate technical concepts to non‑technical stakeholders.
* Experience collaborating within cross‑functional engineering teams.
Equal Employment Opportunity
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
About OMNIA® Training
At OMNIA® Training, we've brought together some of the UK's most innovative defence training organisations under one powerful mission: to transform the British Army's training system and create the best‑trained Army in the world. OMNIA are redefining the British Army's collective training. To do that, we are looking for the best and brightest minds from across the UK. We are backed by British innovation and powered by world‑class experts, like you. OMNIA is at the heart of the UK's bold Land Industrial Strategy.
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