AI Accelerator Lead

Ordnance Survey
So160As, SO16 0AS, United Kingdom
Today
£79,000 – £92,000 pa

Salary

£79,000 – £92,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
5 Jun 2026 (Today)

Benefits

Flexible working options Professional development Competitive benefits Supportive environment

AI Accelerator Lead

AI Accelerator Lead (full-time) - Salary £79,000 - £92,000 (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 initiatives with strategic priorities and ethical standards.

Communicating Impact: Track and communicate outcomes, insights, and recommendations to senior stakeholders, informing roadmap decisions and future investment.

About You

  • Proven experience in AI/ML engineering, software development, and technical leadership.

  • Strong understanding of modern AI techniques (LLMs, agentic systems, orchestration frameworks).

  • Ability to write production-grade code and define engineering best practices.

  • Skilled in programme design, stakeholder engagement, and the evaluation of impact.

  • Passion for responsible AI adoption, including human-in-the-loop workflows and ethical application.

  • Familiarity with AI governance frameworks, regulatory compliance, and secure software engineering practices.

  • Ability to mentor, inspire, and influence across diverse teams

  • Commitment to continuous learning and staying current with emerging AI technologies and industry best practices.

Why Join OS?

  • Be at the forefront of AI innovation in geospatial technology.

  • Work on cutting-edge projects with real-world impact.

  • Enjoy a collaborative, inclusive culture with flexible working options.

  • Access to professional development, competitive benefits, and a supportive environment.

Location

We embrace a hybrid working model at OS, because we believe in flexibility and balance. You'll be based at our fantastic HQ in Southampton, Hampshire, where you'll spend 50% of your working week collaborating face-to-face with colleagues. It's all about combining the best of both worlds connection and autonomy to help you thrive..

Closing date: Sunday 21 June 2026 @23:59

Unfortunately, we are currently unable to offer sponsorship for this role, therefore you must have the right to work in the UK, without the need for employer sponsorship.

We are happy to consider any reasonable adjustments that people may need during the recruitment process, and you will be asked whether you require any during the application process.

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Senior ML Runtime Engineer

Fractile London, United Kingdom

Sr. Software Engineer, Inference

Anthropic London, United Kingdom
£225,000 – £325,000 pa Hybrid

Staff Software Engineer, Inference

Anthropic London, United Kingdom
£325,000 – £390,000 pa Hybrid

Staff Engineer, Datacenter Server Lifecycle

Anthropic London, United Kingdom
On-site Clearance Required

Principal Software Engineer - Engineering Manager - Data and AI Platform

JPMorgan Chase & Co. Central London, W3 0BJ, United Kingdom
On-site

Senior Program Manager, Google DeepMind Impact Accelerator

DeepMind London, United Kingdom
On-site

Strategic Account Executive

Synthesia New York City, New York, United States
Hybrid

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.