At a Glance
- Tasks: Design and develop cutting-edge computer vision algorithms for real-time sports tracking.
- Company: Join Hawk-Eye Innovations, a leader in sports technology with a collaborative culture.
- Benefits: Enjoy 25 days annual leave, enhanced pension, hybrid working, and wellness perks.
- Other info: Dynamic team environment with opportunities for mentorship and career growth.
- Why this job: Make an impact in sports tech while working with advanced algorithms and systems.
- Qualifications: Strong experience in computer vision, modern C++, and algorithm optimisation required.
The predicted salary is between 65440 - 87260 € per year.
Join Our Team at Hawk-Eye Innovations
Location: Hybrid working – minimum 2 days per week in the office. Office locations: Basingstoke, London or Bristol.
Contract: Permanent, Full-Time. Salary: £65,440 – £87,260.
Hi, I’m James Sharam, Head of Computer Vision at Hawk-Eye Innovations. I’m looking for a Senior Computer Vision Engineer to join our growing team. This is a key role focused on real-time skeletal, ball and game object tracking for multiple sports. A strong background in mathematics and modelling is encouraged. If that kind of technical challenge excites you, I’d love to hear from you.
About the Role
We’re looking for a Computer Vision Engineer – Algorithms to join our Computer Vision team at Hawk-Eye Innovations. This role is suited to an experienced engineer who enjoys owning complex algorithmic systems and seeing them operate in real-world, production environments. The role is strongly algorithm-focused, with an emphasis on accuracy, performance, robustness, and system-level thinking, spanning modern C++, multi-camera geometry, cross-platform deployments, and cloud-enabled pipelines.
What You’ll Work On
- Designing, developing, and improving ball and player tracking algorithms using multi-camera systems.
- Owning and evolving multi-view geometry solutions for accurate, court-wide tracking.
- Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios.
- Enhancing and maintaining mature, long-running computer vision systems used in live production.
- Optimising algorithms for performance and reliability, including CPU and GPU considerations.
- Contributing to cross-platform systems, ensuring algorithms run consistently across environments.
- Supporting the integration of algorithms into cloud-enabled and distributed systems.
- Working in an agile environment to deliver robust, production-ready solutions at scale.
Key Responsibilities
- Lead the development and improvement of computer vision algorithms from concept through to production.
- Design, implement, test, and validate complex algorithmic features.
- Take ownership of algorithmic components and drive their long-term maintainability and technical quality.
- Collaborate closely with engineers across computer vision, tracking, tooling, and platform teams.
- Contribute to technical discussions around architecture, performance, scalability, and deployment.
- Identify weaknesses in existing approaches and propose pragmatic improvements.
- Share progress, decisions, and learnings with the wider team.
- Support and mentor other engineers through code reviews and technical guidance.
Skills, Knowledge, and Experience
We’re looking for someone with:
- Strong commercial experience developing computer vision algorithms.
- Advanced knowledge of modern C++, working within large, production codebases.
- Strong understanding of performance optimisation, including CPU and GPU workloads.
- Solid experience with image processing, geometry, and multi-camera systems.
- Experience working with cross-platform systems and real-world deployment environments.
- Familiarity integrating algorithmic components into cloud-based or distributed systems.
- Strong debugging skills and the ability to reason about complex system behaviour.
- Confident use of Git and Visual Studio in collaborative engineering environments.
Nice to have (but not essential):
- Experience with CUDA or GPU acceleration.
- Awareness of concurrency, networking, or operating system concepts.
- Experience deploying or supporting algorithms in cloud environments.
- Interest in machine learning techniques and related libraries.
Reward, Benefits, and Wellness
UK Benefits
- 25 days annual leave (excluding bank holidays).
- Enhanced pension scheme with 5% matching.
- Hybrid working model.
- Complimentary Unmind wellbeing app.
- Onsite gym (Basingstoke).
- Sony Group Company discounts.
Hungary Benefits
- Annual leave in line with local labour law.
- Hybrid working model (2 days per week in the office).
- Access to sporting events and tickets.
- Sony Group Company discounts.
- Cafeteria benefits include: SZÉP Card, Nursery.
Senior Computer Vision Engineer in Hampshire employer: Hawk-Eye Innovations Ltd
Hawk-Eye Innovations is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation thrives in the realm of sports technology. With a hybrid working model and a focus on employee well-being, including access to an onsite gym and wellness resources, we prioritise a healthy work-life balance. Our commitment to professional growth is evident through mentorship opportunities and the chance to work on cutting-edge projects that shape the future of sports analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Computer Vision Engineer in Hampshire
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Hawk-Eye Innovations. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects related to computer vision, make sure to highlight them during interviews. Real-world examples can really set you apart from the crowd.
✨Tip Number 3
Prepare for technical challenges! Brush up on your algorithm knowledge and be ready to discuss your problem-solving approach. We love seeing how you tackle complex issues, especially in real-time scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Computer Vision Engineer in Hampshire
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with computer vision algorithms and modern C++. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for algorithm development and how you’ve tackled challenges in real-world environments. Let us know why you’re excited about joining our team at Hawk-Eye Innovations.
Showcase Your Problem-Solving Skills:In your application, mention specific examples where you've improved algorithm performance or handled complex system behaviours. We love seeing how you approach challenges and find solutions!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our team!
How to prepare for a job interview at Hawk-Eye Innovations Ltd
✨Know Your Algorithms
Make sure you brush up on your knowledge of computer vision algorithms, especially those related to ball and player tracking. Be ready to discuss specific projects where you've designed or improved algorithms, and how they performed in real-world scenarios.
✨Showcase Your C++ Skills
Since the role requires advanced knowledge of modern C++, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Understand Performance Optimisation
Familiarise yourself with performance optimisation techniques, particularly for CPU and GPU workloads. Be prepared to discuss how you've tackled performance issues in past projects and what strategies you used to enhance algorithm efficiency.
✨Engage in Technical Discussions
During the interview, don't hesitate to engage in technical discussions about architecture, scalability, and deployment. Show your enthusiasm for collaboration by asking insightful questions about the team's current challenges and how you can contribute.
