AI Solution Engineer

RTX (Raytheon); Warminster; Hybrid; GBP 60,000 - 95,000; Full time

Job summary

OMNIA Training seeks an AI Solution Engineer to transform the British Army’s training through AI/ML. You’ll work in a hybrid role, reporting within OMNIA AI Solution Architecture and delivering across data prep, model evaluation, and workflow automation.

You’ll collaborate with cross-functional teams to meet Army training goals. You will develop and deploy scalable AI capabilities, ensure secure production environments, and contribute to ethical AI practices while continuously learning new

Qualifications

• Strong Python for AI/ML development.
• Experience with at least one major ML framework (PyTorch, TensorFlow, scikit-learn).
• Experience building and maintaining end-to-end ML pipelines (data ingestion, preprocessing, training, evaluation).
• Ability to document technical solutions for maintainability and audit.

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.
• Support development and maintenance of ML pipelines including data pre-processing, feature engineering, model training, validation, and performance evaluation.
• Support integration of AI capabilities into secure operational environments, ensuring DevSecOps compatibility.
• Monitor deployed models, analyse performance metrics, and implement retraining strategies.
• Collaborate with data engineers and software teams to support scalable, maintainable AI components.
• Review and apply ethical AI principles including bias mitigation, data governance, and regulatory compliance.
• Produce high-quality technical documentation for maintainability and audits.
• Engage with stakeholders through demonstrations and briefings, translating AI concepts for non-technical audiences.
• Investigate emerging AI tools and platforms for Army training use cases.

Skills

Python

PyTorch

TensorFlow

scikit-learn

ML pipelines

APIs & microservices

Git

Tools

Docker

Kubernetes

CI/CD

Job description

AI Solution Engineer

Be at the forefront of transforming British Army training.

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:

This is more than a job - it's a mission. You will be part of a high-impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA's vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win.

You’ll work in a matrix organisation and report operationally through OMNIA Training and functionally through the OMNIA AI Solution Architect. 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.
• Support the development and maintenance of ML pipelines including data pre-processing, 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, analyse performance metrics, and implement tuning or retraining strategies to maintain operational effectiveness.
• Collaborate with data engineers and software teams to support scalable, maintainable, and secure AI components.
• Review and apply ethical AI principles including bias mitigation, data governance, and regulatory compliance in defence contexts.
• Support the production of 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.
• Investigate emerging AI tools and platforms for applicability to Army training use cases.
• Support the development of technical capability through structured learning.
• 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 DevSecOps engineers to ensure smooth deployment and continuous improvement.

Essential Skills and Experience:

• Python programming skills for AI/ML development.
• 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 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).
• Analytical and problem-solving capability.
• Ability to communicate technical concepts to non-technical stakeholders.
• Experience collaborating within cross-functional en

Job details

Date Posted: 2026-10-15

Country: United Kingdom

Location: Warminster, Wiltshire

Position Role Type: Hybrid