2 of 2 Head of AI Jobs in the Thames Valley

Head of AI Acceleration & Delivery Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: Competitive leadership salary depending on experience, performance related bonus, flexible benefit scheme. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your … pattern on your application. Let us introduce the role We are seeking a visionary and strategic leader to join our team as the Head of AI Adoption. The successful candidate will lead the integration of artificial intelligence technologies across our organisation with an emphasis on driving innovation, efficiency, and productivity. The role will … lead AI adoption across corporate functions, support engineering and operations colleagues drive AI adoption in these critical functions, whilst collaborating and supporting Science and NTR colleagues with their existing high-performance computing (HPC), machine learning (ML) and AI initiatives. This role requires deep understanding and significant experience of AI technologies, ideally with application in More ❯

Head of AI – Lead the Intelligence Revolution at Dexory Wallingford, UK (Hybrid) | Permanent | Share Options + Benefits The Mission: We’re building the world’s most advanced, real-time warehouse intelligence platform powered by autonomous robots and AI that thinks spatially, reasons like a human, and drives logistics performance instantly. We’ve nailed the … robotics. We’ve scaled the deployments. Now we’re embedding real-time cognition. This is your chance to lead Dexory’s first AI team and architect the brain of the autonomous warehouse. Your Impact: As Head of AI , you’ll go beyond leading a function; you’ll shape its future . You … ll blend strategic thinking with hands-on building, defining how our platform sees, thinks, learns, and adapts at scale. What You’ll Be Doing: Own and lead Dexory’s AI strategy across perception, planning, decision intelligence, and learning systems Spend 60–70% of your time building, designing, coding, deploying AI/ML systems in live environments More ❯