At a Glance
- Tasks: Lead the development of computer vision systems for sports analytics.
- Company: Join a high-growth startup transforming sports performance with AI technology.
- Benefits: Enjoy remote work flexibility and quarterly meetups in London.
- Other info: Work with a talented team and have ownership over your projects.
- Why this job: Be at the forefront of AI innovation in sports, making a real impact.
- Qualifications: Experience in deep learning, computer vision, and production deployment required.
The predicted salary is between 48000 - 72000 £ per year.
Overview
Lead Computer Vision Engineer - Sports Analytics
A dynamic, high-growth AI start-up transforming sports science and analytics through cutting-edge technology, with substantial investor backing and years of innovation behind us, is looking for a Lead Computer Vision Engineer to join their team.
Responsibilities
- Research and develop advanced computer vision models for sports analytics applications
- Lead the transformation of prototypes into scalable, production-ready systems
- Work closely with engineering, data science, and product teams to align technical solutions with business goals
- Define product requirements and manage project timelines
- Mentor junior engineers and foster a culture of innovation and technical excellence
- Optimise model performance for real-time processing and deployment in resource-constrained environments
Qualifications
- Advanced knowledge of deep learning with proficiency in at least two areas: Object Detection, Object Tracking, Semantic Segmentation, Pose Estimation, or Video Event Spotting
- Expert-level skills in PyTorch and TensorFlow for building and deploying computer vision models
- Strong Python programming abilities with experience using NumPy, OpenCV, or Sklearn
- Hands-on experience with Docker for containerized development and deployment
- Comfortable working in Linux environments with git proficiency
- Proven cross-team collaboration skills bridging technical and non-technical stakeholders
- Product management experience in defining requirements and delivering production-ready solutions
What’s in it for me
- Salary of up to £100k
- Lead cutting-edge computer vision projects at the intersection of AI and sports analytics
- Be part of a fast-growing start-up with significant investor support
- Enjoy remote work flexibility with quarterly in-person meetings in London
- Shape the future of sports science with transformative technology that makes a real impact
Job details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology
- Industries: IT Services and IT Consulting
Apply now for immediate consideration!
Lead Computer Vision Engineer in London employer: Understanding Recruitment
Join a dynamic and innovative startup that is at the forefront of sports analytics, where you will have the opportunity to lead groundbreaking projects in computer vision. With a remote-first culture that promotes autonomy and ownership, along with quarterly meetups in London, you'll be part of a collaborative team dedicated to redefining performance measurement through cutting-edge technology. This role not only offers the chance to work on impactful AI solutions but also provides ample opportunities for professional growth and mentorship within a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Computer Vision Engineer in London
✨Tip Number 1
Familiarise yourself with the latest advancements in computer vision, particularly in sports analytics. Being able to discuss recent breakthroughs or technologies during your conversations will show your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the AI and sports tech industries. Attend relevant meetups or webinars to connect with like-minded individuals and potentially get referrals that could help you land an interview with us.
✨Tip Number 3
Prepare to showcase your experience with deep learning frameworks like PyTorch and TensorFlow. Be ready to discuss specific projects where you've implemented these technologies, as practical examples can set you apart from other candidates.
✨Tip Number 4
Demonstrate your leadership skills by sharing experiences where you've mentored others or led projects. Highlighting your ability to guide a team will resonate well with our mission of driving product development and innovation.
We think you need these skills to ace Lead Computer Vision Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in computer vision, deep learning, and any specific technologies mentioned in the job description, such as PyTorch and TensorFlow. Showcase projects that demonstrate your ability to build and optimise vision models.
Craft a Compelling Cover Letter:Write a cover letter that reflects your passion for sports analytics and AI. Discuss how your background aligns with the company's mission of redefining performance measurement and mention any innovative projects you've led or contributed to.
Showcase Your Technical Skills:In your application, include specific examples of your work with object tracking, pose estimation, and segmentation. If possible, provide links to your GitHub or portfolio where you have showcased relevant projects or contributions.
Highlight Leadership Experience:Since this is a lead position, emphasise any previous leadership roles or mentoring experiences you have had. Discuss how you have driven product development and collaborated with cross-functional teams in past projects.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with computer vision technologies, particularly in object tracking, pose estimation, and segmentation. Bring examples of past projects where you've successfully implemented these techniques, ideally using frameworks like PyTorch or TensorFlow.
✨Demonstrate Leadership Experience
As a Lead Computer Vision Engineer, you'll be expected to mentor other engineers and drive product development. Share specific instances where you've led a team or project, highlighting your ability to inspire and guide others towards achieving common goals.
✨Understand the Company’s Mission
Familiarise yourself with the startup's mission of redefining performance measurement through AI and sports analytics. Be ready to discuss how your skills and experiences align with this mission and how you can contribute to their innovative projects.
✨Prepare for Collaborative Scenarios
Collaboration is key in this role, so think of examples where you've worked effectively across different teams, such as product, data, and engineering. Be ready to discuss how you approach teamwork and resolve conflicts to ensure successful project outcomes.
