Os
Geospatial Technology
AIAcceleratorLead
Neural analysis suggests this role is
optimal for Lead candidates.
“AI Accelerator Lead at Os. Skills: AI Accelerator, AI/ML Engineering, Technical Leadership, Programme Design. Design AI Accelerator programme. Operate AI Accelerator programme”
What You'll Achieve.
Unlock enterprise-wide value from AI; Deliver high-impact prototypes; Evolve prototypes into scalable solutions; Reduce adoption friction; Build organisational confidence
Industry & Context.
Problem Solving
Security Check (SC) clearance
What They're Looking For.
Must Have
Proven AI/ML engineering experience, Proven software development experience, Proven technical leadership experience, Ability to write production-grade code, Ability to define engineering best practices, Skilled in programme design, Skilled in stakeholder engagement, Skilled in evaluation of impact, Ability to mentor, inspire, and influence, Security Check (SC) clearance required
Nice to Have
Understanding of modern AI techniques, Familiarity with AI governance frameworks, Familiarity with regulatory compliance, Familiarity with secure software engineering practices, Commitment to continuous learning
What You'll Do.
Design AI Accelerator programme
Operate AI Accelerator programme
Drive experimentation
Drive rapid prototyping
Drive capability development
Investigate emerging AI techniques
Identify high-value applications
Surface risks and opportunities
Own design of prototypes
Own build of prototypes
Write production-grade code
Guide transition to scalable solution
Curate learning resources
Foster culture of experimentation
Partner with product teams
Partner with data teams
Partner with technology teams
Align initiatives with priorities
Align initiatives with standards
Communicate recommendations
Inform roadmap decisions
Inform future investment
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Multidisciplinary team; Partner with product teams; Partner with data teams; Partner with technology teams
Communication Scope
Communicating Impact; Communicate outcomes; Communicate insights; Communicate recommendations
Process & Methodology
Programme design, Programme leadership, Roadmap decisions
Full Job Description
**AI Accelerator Lead****** **AI Accelerator Lead****** (full-time) - Salary £79,079.00 \- £92,258.00 (dependent on experience) - Hybrid working Ordnance Survey (OS) is the national mapping agency for Great Britain, delivering world-class geospatial data and services that power innovation across government, business, and society. We’re on a mission to unlock the full potential of location data and now, we’re accelerating that vision through artificial intelligence. **The Opportunity** Lead the establishment of Ordnance Survey’s AI Accelerator – a strategic initiative designed to unlock enterprise-wide value from AI. This is a unique opportunity to combine technical leadership with programme-level influence, driving innovation through rapid prototyping, capability building, and cross-functional collaboration. You’ll work as part of a multidisciplinary team exploring advanced AI techniques such as geo foundation models, agentic systems, and LLM orchestration. Your goal: deliver high-impact prototypes that evolve into scalable, production-ready solutions, embedding AI in real-world contexts to reduce adoption friction and build organisational confidence in responsible AI use. **What You’ll Do** **Programme Leadership:** Design and operate the AI Accelerator as a structured, high-impact programme that drives experimentation, rapid prototyping, and capability development across OS. **Exploration & Innovation:** Investigate emerging AI techniques, identify high-value applications, and surface associated risks and opportunities for the business. **Technical Delivery:** Own the design and build of prototypes, write production-grade code, conduct code reviews, and guide the transition from concept to scalable solution. **Capability Building:** Mentor participants, energise the AI Guild, and curate learning resources to strengthen skills and foster a culture of responsible experimentation. **Stakeholder Engagement:** Partner with product, data, and technology teams to align i
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