Os

Geospatial Technology

AIAcceleratorLead

£79–92k Southampton, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“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.

Geospatial Technology
Problems you'll solve

Problem Solving

Eligibility Requirements

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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