AI Solution Lead in Warminster

Date Posted: 2026-03-11

Country: United Kingdom

Location: Warminster, Wiltshire

Position Role Type: Hybrid

Function: Engineering

Duration: Permanent

Hours: Full Time (37 hours per week)

Security Clearance Requirements: SC – Must be eligible to work in the UK without sponsorship.

Why join Raytheon

Raytheon UK is a powerhouse in defence and aerospace, where innovation meets impact. As a key partner to the UK government and global customers, we tackle the toughest challenges across land, sea, air, space, and cyberspace. Beyond cutting-edge defence solutions, we lead the way in digital training transformation for both military and commercial clients. At Raytheon UK, you will work with pioneering technology, collaborate with top industry experts, and be part of a dynamic team that fuels your growth.

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 to the Enterprise Architect. Ultimately, you’ll work for the British Army, championing innovation, and helping shape the future of military collective training.

Key Responsibilities:

• Lead the design and delivery of end-to-end AI/ML solutions aligned to organisational strategy and operational objectives.
• Define scalable, secure, and maintainable AI architectures, covering data pipelines, model lifecycle management, deployment, and monitoring.
• Establish architectural standards, design patterns, and engineering best practices.
• Provide technical oversight across the full AI lifecycle: concept, prototyping, production deployment, and optimisation.
• Review and approve solution designs produced by AI Solution Engineers and wider delivery teams.
• Lead, mentor, and develop AI Solution Engineer(s) and associated technical staff.
• Set technical direction and ensure consistency in engineering standards across AI initiatives.
• Conduct code and design reviews to ensure quality, security, and maintainability.
• Identify capability gaps and drive upskilling across the AI team.
• Foster a collaborative, high-performance engineering culture.
• Own technical delivery of AI solutions, ensuring alignment with scope, timelines, and quality expectations.
• Oversee deployment of AI systems into secure or controlled environments.
• Ensure compatibility of AI solutions with DevSecOps pipelines and enterprise technology stacks.
• Define and monitor performance metrics for deployed models, ensuring operational effectiveness and reliability.
• Lead remediation and optimisation efforts when performance, compliance, or operational risks arise.
• Embed ethical AI principles, including fairness, explainability, auditability, and transparency, into solution design.
• Ensure compliance with data governance, security, and regulatory requirements.
• Support accreditation and assurance activities within regulated or defence environments.
• Identify, assess, and mitigate technical risks associated with AI deployment.
• Translate operational or business requirements into AI-enabled solution approaches.
• Engage senior stakeholders, providing clear technical briefings and strategic recommendations.
• Contribute to AI capability roadmaps and innovation strategies.
• Lead technical input into bids, proposals, or programme planning activities where required.
• Conduct horizon scanning to evaluate emerging AI technologies and assess relevance to operational use cases.
• Drive continuous improvement of AI engineering practices, tooling, and delivery methods.
• Champion adoption of MLOps practices to enhance repeatability, traceability, and scalability.
• Promote knowledge sharing and best practice dissemination across engineering teams.

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 be a technically astute AI Solution Lead who thrives on engineering execution to realise enterprise goals. You will be responsible for designing and sustaining AI/ML solutions that align with the Army Collective Training Service (ACTS) architectural vision. The AI Solution Lead must possess a deep understanding of AI technologies, with the ability to leverage data insights for model development and optimisation using frameworks such as TensorFlow and PyTorch, while also driving intelligent process automation across the machine learning lifecycle through platforms like Azure Machine Learning. This role is pivotal in aligning AI technology with architecture vision and goals, ensuring secure, interoperable systems to drive and automate data driven decision making.

Essential Skills and Experience:

• Extensive experience in leading technical teams designing and delivering end-to-end AI/ML solutions from concept to production within regulated or controlled environments.
• Strong Python expertise and deep knowledge of ML frameworks.
• Experience defining scalable ML architectures, including lifecycle management, monitoring, and resilience strategies.
• Experience overseeing deployment using containerisation and orchestration platforms and governing CI/CD and MLOps practices.
• Strong understanding of API-led integration within enterprise systems.
• Experience embedding responsible AI principles into architectural design.
• Strong understanding of secure coding, data protection, and governance frameworks, and experience supporting accreditation or assurance processes.
• Accountability for technical risk identification and mitigation.
• Experience translating operational requirements into AI-enabled capabilities.
• Ability to engage and influence senior stakeholders.
• Experience defining AI roadmaps and technical strategy.
• Strong decision-making capability balancing innovation, risk, and operational constraints.
• Proven experience leading, mentoring, and developing AI/ML engineers.
• Strong systems-level analytical thinking.
• Ability to operate autonomously with accountability for outcomes.
• Degree in relevant discipline or equivalent senior-level experience.

What we offer:

• Competitive salaries.
• 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr).
• Contributory Pension Scheme (up to 10.5% company contribution).
• Company bonus scheme (discretionary).
• 6 times salary ‘Life Assurance’ with pension.
• Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others.
• Enhanced sick pay.
• Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave.

Work Culture:

• 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.
• Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role.
• A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role.
• Up to 5 paid days volunteering each year.

For this role the successful hire will need to be a permanent UK resident and be eligible to hold an SC security and background check.

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.