At a Glance
- Tasks: Develop and implement AI/ML solutions for the British Army's training objectives.
- Company: Join OMNIA Training, a leader in innovative defence training.
- Benefits: Gain hands-on experience with cutting-edge technologies and mentorship opportunities.
- Other info: Dynamic role with opportunities for continuous learning and career growth.
- Why this job: Make a real impact on military training while working with top experts.
- Qualifications: Experience with ML frameworks and collaborative engineering practices required.
The predicted salary is between 70100 - 100000 £ per year.
Job Description About us 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.
The role 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.
Key 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 Dev Sec Ops pipelines and platform constraints.• Monitor deployed models, analyse 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.•Actively develop technical capability through structured learning and mentorship All other tasks required to deliver the programme Who we are looking for You'll have a mission focus, and the enthusiasm and drive to 'get things done'.
You'll want to work in collaboration with other defence training organisations, and the British Army.
You won't let bureaucracy get in the way of what needs to be done, you'll learn lessons and share these lessons across the team.
You'll understand what it means to put the mission first.
The successful candidate will support the development and integration of AI/ML models aligned with Army training goals and OMNIA architecture, assisting with data preparation, model evaluation, and workflow automation.
They will collaborate with technical teams, document processes, monitor model performance, and contribute to ethical AI practices.
The role also involves learning emerging technologies, supporting stakeholder communications, and working within Dev Sec Ops engineers to ensure smooth deployment and continuous improvement.
Hands-on experience with at least one major ML framework (e. g.
Py Torch, Tensor Flow, scikit-learn)Experience building and maintaining end-to-end ML pipelines (data ingestion, pre-processing, training, evaluation, deployment) and deployment to production environments•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
