National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head of Artificial Intelligence

TTE Staffing
London
1 month ago
Applications closed

Related Jobs

View all jobs

Head of Artificial Intelligence

Head of Data Science

Policy Administrator

Senior Data Scientist - Home Insurance

Study Start-Up Specialist

Data and B.I. Lead

About the Job

Our client is a pioneering company in the AI and robotics space based in the UK, focused on creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Their first humanoid robot, HMND 01, is a next-generation labor automation unit, delivering highly efficient services across a variety of industrial use cases.

We are currently seeking aHead of AIto join their team in London, UK.

Responsibilities

  • Lead the adoption and integration of cutting-edge AI/ML and robotics innovations to enhance humanoid robot capabilities, ensuring the company remains ahead of the technology curve.
  • Deliver true autonomy for humanoid robots by orchestrating seamless integration of advanced reasoning, navigation, and perception technologies across teams.
  • Spearhead strategic partnerships with leading robotics firms and top-tier universities to advance research, technology, and product development in humanoid robotics.
  • Shape and drive the long-term vision for fully autonomous, self-aware humanoid robots, ensuring they meet the evolving demands of real-world applications.
  • Design and streamline the information flow and infrastructure to facilitate collaboration and integration across interdisciplinary teams, ensuring optimal performance of robotic systems.

Expertise

  • MS or PhD in Robotics, Computer Science, AI, or a related field, with a focus on autonomous systems and humanoid robotics.
  • Proven leadership experience, managing AI and robotics teams, and delivering complex robotic autonomy projects from conception to execution.
  • A track record of leading and executing AI and robotics initiatives, with a portfolio of influential publications, patents, and successful projects demonstrating expertise in robotic autonomy and intelligence.
  • Expertise in Robotic Autonomy and experience with VLA/VLM/LLM/RT-X or equivalent solutions for dynamic Robotic World Modeling and advanced decision-making systems for humanoid robots.
  • Hands-on experience with Python, cloud platforms, databases, and ML frameworks, with a proven ability to integrate and implement AI-driven solutions into humanoid robots.
  • Demonstrated ability to lead cutting-edge research efforts and translate them into practical, deployable AI solutions for humanoid robotics in both simulated and real-world environments.
  • Strong leadership and cross-functional collaboration skills, driving the integration of AI, robotics, and engineering teams to deliver high-impact autonomous robot systems.
  • Solid background in computer science fundamentals, including data structures, algorithms, system design, deep learning, and probability theory, applied to real-world robotics challenges.
  • Comprehensive knowledge of Robotics Navigation, Perception, and Reasoning, with the ability to strategically guide teams in advancing humanoid robot capabilities to industry-leading standards.

Benefits

  • Highly competitive salary + stock options
  • 23 working days of vacation per year
  • Flexible working hours
  • Opportunity to work on the latest technologies in AI, Robotics, Blockchain, and more
  • Startup environment offering a dynamic and innovative work culture


National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Careers Jobs

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

Jobs Careers

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

Jobs

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.