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AI Solution Lead

Job in Warminster, Wiltshire, BA12, England, UK
Listing for: NLP PEOPLE
Full Time position
Listed on 2026-05-23
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer (Applied/Software)
  • Engineering
    Systems Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Title:

Ai Solutions Lead

Function:
Engineering

Duration:
Permanent

Hours:

Full Time (37 hours per week)

Location:

Warminster, Wiltshire

Position Role Type:
Hybrid

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.

Whether you’re looking to push boundaries, develop your skills, or make a real‑world impact, your future starts here.

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 Dev Sec Ops  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…

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