AI Solution Engineer

Overview

Join OMNIA Training to help transform the British Army’s collective training through AI/ML. You will work in a collaborative, cross-organisational team to design, build, and deploy AI capabilities that align with Army training objectives and enterprise principles. You’ll maintain models, pipelines, and secure deployments within DevSecOps environments, while championing ethical AI practices. This mission-driven role offers high impact and growth within a cutting-edge defence context.

Pay / Benefits

• benefits package
• ongoing development opportunities
• clear pathways to progression
• ground-breaking mission
• equal opportunity employer
• hybrid work arrangements

Responsibilities

• Support AI/ML solution development aligned with Army training objectives and architecture principles
• Design, develop, and deploy AI/ML components for training use cases
• Maintain ML pipelines (data prep, feature engineering, training, evaluation)
• Integrate AI capabilities into secure environments and DevSecOps pipelines
• Monitor model performance and retrain/tune as needed
• Collaborate with data engineers and software teams for scalable, secure components
• Apply ethical AI principles (bias mitigation, governance, compliance)
• Produce technical documentation for maintainability and auditability
• Demonstrate and communicate AI concepts to stakeholders
• Explore emerging AI tools for Army training applicability
• Support technical capability development through structured learning
• Other tasks as required to deliver the programme

Key requirements

• Python for AI/ML development
• Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
• End-to-end ML pipeline development and production deployment
• Feature engineering, model validation, performance evaluation
• API or microservice integration of ML components
• Git and collaborative engineering practices
• CI/CD and containerised deployments (Docker, Kubernetes)
• Cloud or controlled compute environments experience
• Secure coding and data protection awareness
• Ethical AI awareness (bias, explainability, privacy)
• Analytical/problem-solving abilities
• Ability to communicate with non-technical stakeholders
• Security clearance (SC or above) or ability to obtain

• mission-focused
• collaborative mindset
• ability to translate complex concepts for stakeholders
• Python
• PyTorch
• TensorFlow

…