Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and enhance cutting-edge computer vision algorithms for elite sports technology.
- Company: Join Hawk-Eye Innovations, a leader in sports technology with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and 25 days annual leave.
- Why this job: Make a real impact on sports technology while honing your algorithmic skills.
- Qualifications: Experience in computer vision and proficiency in C++ required.
- Other info: Dynamic team environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Location: Budapest, Hungary
Office: Budapest, Váci út 144–150, 1138 Hungary
Working model: Hybrid (2 days per week in the Budapest office)
Salary: HUF 650,000 – 1,000,000 gross (depending on experience)
About the Role
Hi, I’m Tom Rychlik, Discipline Lead for Computer Vision Algorithms at Hawk-Eye Innovations. I’m looking for a Computer Vision Engineer – Algorithms to join our Computer Vision team. This role is ideal for someone with early commercial or strong academic experience in computer vision who wants to continue developing their algorithmic skills while working on real‑world, production‑grade sports technology.
You’ll be working on elite‑level tennis tracking systems, contributing directly to the development and improvement of core computer vision algorithms used in live sporting environments. The role is strongly algorithm‑focused, with an emphasis on problem solving, performance, and accuracy.
What You’ll Work On
- Developing and improving tennis ball tracking algorithms using multi‑camera systems
- Contributing to multi‑view geometry solutions for accurate tracking across the court
- Supporting approaches to handling occlusion and recovery in fast‑paced sports scenarios
- Enhancing existing, mature computer vision systems used in live production
- Optimising algorithms with performance and reliability in mind, including CPU and GPU considerations
- Working in an agile environment to deliver robust, production‑ready solutions
Key Responsibilities
- Assist in the development and improvement of computer vision algorithms
- Implement, test, and validate algorithmic features
- Collaborate with other engineers to solve complex vision challenges
- Contribute ideas and improvements to existing approaches and pipelines
- Share progress, challenges, and learnings with the wider team
- Continue to grow technical capability through hands‑on development
Skills, Knowledge, and Experience
We’re looking for someone with:
- Experience with computer vision algorithms (commercial or academic)
- Working knowledge of C++, with a desire to continue developing modern C++ skills
- An interest in performance optimisation for CPU and GPU workloads
- Familiarity with image processing and multi‑camera systems
- A basic understanding of Git and Visual Studio
Nice to have (but not essential):
- Exposure to CUDA or GPU acceleration
- Awareness of concurrency, networking, or operating system concepts
- Interest in machine learning and related libraries
Reward, Benefits, and Wellness
UK Benefits: 25 days annual leave (excluding)
Computer Vision Engineer in London employer: Hawk-Eye Innovations (HEI)
Contact Detail:
Hawk-Eye Innovations (HEI) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your computer vision projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your algorithm knowledge and be ready to discuss your problem-solving approach. Practising common technical questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. It shows initiative and gives us a chance to see your enthusiasm for the role right from the start.
We think you need these skills to ace Computer Vision Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with computer vision algorithms and C++. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about computer vision and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Problem-Solving Skills: In your application, mention specific challenges you've faced in previous roles or projects and how you tackled them. We’re all about problem-solving here at StudySmarter, so let us know how you think on your feet!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re keen on joining our awesome team!
How to prepare for a job interview at Hawk-Eye Innovations (HEI)
✨Know Your Algorithms
Make sure you brush up on your knowledge of computer vision algorithms, especially those related to tracking and multi-camera systems. Be ready to discuss specific algorithms you've worked on and how they can be applied to sports technology.
✨Showcase Your Coding Skills
Since the role requires a working knowledge of C++, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that focus on performance optimisation and algorithm implementation.
✨Understand the Business Context
Familiarise yourself with how computer vision is used in live sports environments, particularly in tennis. Being able to relate your technical skills to real-world applications will show your potential employer that you understand the impact of your work.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and challenges. This not only shows your interest in the role but also gives you a chance to demonstrate your problem-solving mindset and eagerness to contribute.
