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For Companies At a Glance
- Tasks: Lead our AI team and drive innovative strategies in robotics and machine learning.
- Company: Join a fast-growing startup focused on building intelligent machines for real-world solutions.
- Benefits: Enjoy a competitive salary, equity options, and hybrid working from our vibrant London HQ.
- Why this job: Shape the future of AI while collaborating with ambitious minds in a dynamic environment.
- Qualifications: Experience in leading AI teams, with strong skills in Python and machine learning frameworks.
- Other info: Be part of a hands-on, agile team that values impact and innovation.
The predicted salary is between 72000 - 108000 £ per year.
We’re partnered with a fast-growing robotics startup building intelligent machines that solve real-world problems. Our client is looking for a Head of AI to lead our small but mighty AI team and shape the future of autonomy, computer vision, and machine learning at the heart of our products.
What You’ll Do
- Own and drive our AI strategy end-to-end
- Build and lead a high-performing team
- Work closely with robotics, product, and engineering to bring smart systems to life
- Stay hands-on with ML models, data pipelines, and deployment
- Keep us ahead of the curve in AI innovation
What You’ll Need
- Experience leading AI or ML teams (ideally in robotics or autonomous systems)
- Deep knowledge of CV, deep learning, RL or SLAM
- Strong Python and ML stack (PyTorch, TensorFlow, etc.)
- Startup mindset: hands-on, agile, and impact-driven
Why Join Us
- Competitive salary + equity
- Hybrid working with an awesome London HQ
- Work with smart, ambitious people building tech that matters
Ready to take the lead on AI at a next-gen robotics company?
Head of AI employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI
✨Tip Number 1
Network with professionals in the robotics and AI fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and leaders in the sector. This can help you gain insights into the latest trends and possibly get a referral.
✨Tip Number 2
Showcase your hands-on experience with machine learning models and data pipelines. Consider sharing relevant projects on platforms like GitHub or personal blogs to demonstrate your expertise and passion for AI and robotics.
✨Tip Number 3
Stay updated on the latest advancements in AI, particularly in computer vision and deep learning. Follow influential researchers and companies in the field on social media to keep your knowledge fresh and relevant.
✨Tip Number 4
Prepare to discuss your leadership style and how you've successfully built and managed teams in the past. Be ready to share specific examples of how you've driven AI strategies and fostered innovation in previous roles.
We think you need these skills to ace Head of AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading AI or ML teams, particularly in robotics or autonomous systems. Emphasise your knowledge of computer vision, deep learning, and relevant technologies like PyTorch and TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and robotics. Discuss how your hands-on experience with ML models and data pipelines aligns with the company's goals and how you can contribute to their AI strategy.
Showcase Relevant Projects: Include specific examples of projects where you've successfully led AI initiatives or developed innovative solutions. Highlight any achievements that demonstrate your impact-driven mindset and ability to work in a startup environment.
Prepare for Technical Questions: Be ready to discuss your technical expertise in AI and machine learning during interviews. Brush up on key concepts in computer vision, reinforcement learning, and other relevant areas to showcase your depth of knowledge.
How to prepare for a job interview at Job Traffic
✨Showcase Your Leadership Experience
As a Head of AI, you'll need to demonstrate your ability to lead and inspire a team. Prepare examples of how you've successfully managed AI or ML teams in the past, particularly in robotics or autonomous systems.
✨Demonstrate Technical Proficiency
Be ready to discuss your deep knowledge of computer vision, deep learning, reinforcement learning, or SLAM. Brush up on your Python skills and be prepared to talk about your experience with ML frameworks like PyTorch and TensorFlow.
✨Emphasise Collaboration Skills
This role requires close collaboration with various teams. Highlight your experience working with product, engineering, and robotics teams to bring smart systems to life. Share specific examples of successful cross-functional projects.
✨Exhibit a Startup Mindset
The company values a hands-on, agile approach. Be prepared to discuss how you've thrived in fast-paced environments and how you can contribute to a culture that prioritises impact and innovation.
