Date Posted: 2026-06-30Country: United KingdomLocation: Warminster, WiltshirePosition Role Type: HybridJob Title: Ai Solutions LeadFunction: EngineeringDuration: PermanentHours: Full Time (37 hours per week)Location(s): WarminsterSecurity Clearance Requirements: SC – Must be eligible to work in the UK without sponsorship. For this role the successful hire will need to be a permanent UK resident and be eligible to hold an SC security clearance and background check.
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, and lead the way in digital training transformation for both military and commercial clients.
The role
Play a pivotal part in delivering OMNIA’s vision: designing, delivering, and transforming collective training for the British Army. Collaborate within a matrix organisation, reporting operationally through OMNIA Training and functionally to the Enterprise Architect, while championing innovation and shaping 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
A mission‑focused, results‑driven leader who thrives in a collaborative environment, understands the importance of the British Army’s operational requirements, and can drive AI solutions that align with the Army Collective Training Service (ACTS) architectural vision.
Essential Skills and Experience
- Extensive experience leading technical teams 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, 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 plus statutory public holidays, with the option to buy or sell up to 5 days in a 37‑hour week.
Contributory Pension Scheme (up to 10.5% company contribution).
Company bonus scheme (discretionary).
Six times salary ‘Life Assurance’ with pension.
Flexible Benefits scheme with extensive salary sacrifice options, including Health Cashplan, Dental, and Cycle‑to‑Work.
Enhanced sick pay.
Family‑friendly policies, including enhanced maternity, paternity and shared parental leave.
37‑hour working week with remote, hybrid and site‑based options. Flexible working arrangements can be requested and assessed on a case‑by‑case basis.
Up to five paid days of volunteering each year.
Equal Employment Opportunity
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
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