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For Companies At a Glance
- Tasks: Lead AI innovation in robotics, integrating advanced technologies for true autonomy.
- Company: Join a visionary team redefining human-machine collaboration in robotics.
- Benefits: Enjoy competitive salary, equity, and hybrid working options.
- Why this job: Make a lasting impact on the future of AI and robotics with groundbreaking projects.
- Qualifications: Advanced expertise in robotics, AI/ML, and hands-on experience in autonomous systems required.
- Other info: This role is based in London with opportunities for significant professional growth.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Head of AI – Robotic Autonomy
Are you ready to revolutionise the world of robotics as a Head of AI?
Do you want to join a growing visionary team that's redefining human-machine collaboration?
We’re searching for a Head of AI with expertise in Robotics, Perception, Navigation, and Planning, specialising in integrating these capabilities with VLA/VLM/LLM frameworks and knowledge bases to achieve true robotic autonomy.
This is a hands-on leadership role that combines technical innovation with strategic vision, offering a unique opportunity to pioneer advancements at the intersection of AI and robotics.
Key responsibilities:
- Establish and own the adoption of state-of-the-art AI/ML and robotics technologies.
- Lead hands-on integration of robotic systems with advanced reasoning and knowledge-based frameworks.
- Develop robust robotic world models using VLA/VLM/LLM solutions or similar alternatives.
- Oversee end-to-end AI/ML workflows, including research, model training, and deployment in simulated and real-world environments.
- Advance semantic mapping, SLAM, and other critical technologies to enhance robotic autonomy.
About you:
- Advanced expertise in robotics, perception, navigation, and planning, with a proven ability to integrate these systems with VLA, VLM, LLM, or equivalent technologies.
- Strong background in robotic autonomy, semantic mapping, SLAM, and knowledge-based frameworks.
- A track record of impactful publications and innovative projects in AI/ML and robotics.
- Proficiency in Python, cloud platforms, databases, and modern ML pipelines.
- Hands-on experience in designing and implementing autonomous systems in complex environments.
- Visionary leadership and a passion for solving challenging problems through AI-driven innovation.
Location: London (hybrid working).
Compensation: Competitive salary + equity + benefits.
This is your chance to lead groundbreaking work in AI and robotics, influencing the next generation of autonomous systems and driving significant innovation within the field.
If you’re ready to make a lasting impact, we’d love to hear from you!
Ready to make a difference? Let’s connect! Reach out to Danielle Blake at d.blake@lawrenceharvey.com.
Contact Detail:
Lawrence Harvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Artificial Intelligence
✨Tip Number 1
Network with professionals in the AI and robotics fields. Attend industry conferences, webinars, and meetups to connect with like-minded individuals and potential colleagues. This can help you gain insights into the latest trends and technologies, making you a more attractive candidate.
✨Tip Number 2
Showcase your hands-on experience by working on personal or open-source projects related to AI and robotics. This not only demonstrates your technical skills but also your passion for the field. Having tangible examples of your work can set you apart during interviews.
✨Tip Number 3
Stay updated on the latest advancements in AI/ML and robotics by following relevant journals, blogs, and podcasts. Being knowledgeable about current research and breakthroughs will allow you to engage in meaningful discussions during interviews and show your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss your vision for the future of AI and robotics. Think about how you would approach integrating VLA/VLM/LLM frameworks into robotic systems. Articulating a clear and innovative vision can impress interviewers and demonstrate your strategic thinking capabilities.
We think you need these skills to ace Head of Artificial Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced expertise in robotics, perception, navigation, and planning. Include specific projects or publications that demonstrate your experience with VLA/VLM/LLM frameworks.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI-driven innovation and leadership. Discuss how your background aligns with the company's vision and the specific responsibilities of the Head of AI role.
Showcase Technical Skills: Clearly outline your proficiency in Python, cloud platforms, and modern ML pipelines. Provide examples of how you've applied these skills in designing autonomous systems in complex environments.
Highlight Leadership Experience: Emphasise any previous leadership roles or experiences where you led teams in AI/ML projects. Mention your ability to integrate robotic systems and advance technologies like semantic mapping and SLAM.
How to prepare for a job interview at Lawrence Harvey
✨Showcase Your Technical Expertise
Be prepared to discuss your advanced knowledge in robotics, perception, navigation, and planning. Highlight specific projects where you've successfully integrated these systems with VLA/VLM/LLM technologies.
✨Demonstrate Leadership Skills
As a Head of AI, you'll need to exhibit strong leadership qualities. Share examples of how you've led teams in the past, particularly in hands-on integration of robotic systems and AI/ML workflows.
✨Prepare for Problem-Solving Scenarios
Expect to face challenging questions that assess your problem-solving abilities. Think of real-world scenarios where you've had to innovate or overcome obstacles in AI-driven projects.
✨Discuss Your Vision for AI and Robotics
Articulate your strategic vision for the future of AI and robotics. Be ready to share your thoughts on advancements in semantic mapping, SLAM, and how you plan to drive innovation in these areas.
