Our mission is to improve the performance of athletes and teams, which we do by engineering the premier technology platform for sport. We've been at the forefront of sports technology and science since 2006 -- we don't just work in the sporting industry, we are actively changing its future. Our solutions are designed to help athletes and coaches “play smart” in a world where 1% can literally mean the difference between winning and losing.
We work with over 3,000 teams around the world, empowering coaches, managers and trainers in premier teams in the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimise athletes’ health, game-day readiness, and performance, as well as in-game tactics. Our solutions include wearable technology, video analytics, and athlete monitoring solutions, and we are passionate about helping sports organisations at all levels to better scout, recruit, teach, and win.
WE WANT PEOPLE WHO ARE PASSIONATE ABOUT BUILDING BEAUTIFUL SOFTWARE
We are looking for an enthusiastic and inquisitive Computer Vision Engineer whose drive for learning and continuous improvement aligns with our fast-growing and transforming company. Ideally working from our London office, you will be a key contributor of the Data Science team to the planning, design, development, integration, and testing of computer vision features. We believe that our customers deserve the best platform and we are on a mission to maximise and enhance their performance through delivering a high quality experience. You’ll help us achieve this by driving innovation and constantly improving productivity, excelling in a fast-paced environment with tight project timelines. Your expertise will allow us to blend traditional techniques with deep learning advancements to create cutting-edge solutions.
WHAT YOU’LL DO
- Algorithm Development: Design and implement computer vision algorithms using both classical techniques and deep learning methods.
- Optimisation & Deployment: Convert research models into production-ready code, focusing on performance, scalability, and efficiency.
- Collaboration: Work closely with data scientists, software engineers, product managers, and UX teams to contribute to the seamless integration of computer vision features.
- Documentation: Clearly document your code and assist in creating user documentation.
- Timely Delivery: Meet project deadlines and provide regular progress updates.
WHAT YOU’LL NEED
- Classical Computer Vision: Strong knowledge of image and video processing techniques (e.g., edge detection, feature extraction, object tracking).
- Deep Learning: Hands-on experience with deep learning neural network models for tasks like image classification, object detection, and segmentation.
- Programming Skills: Proficiency in Python and C++, with experience using libraries such as OpenCV, Scikit-image, TensorFlow, or PyTorch.
- Production Experience: Exposure to deploying models on various platforms (cloud or edge devices) and an interest in optimising them for real-time applications.
- Deployment Tools: Familiarity with tools like ONNX, Docker, or AWS cloud platforms.
- Cross-Functional Communication: Ability to communicate technical concepts in a clear and concise manner to both technical and non-technical stakeholders.
NICE TO HAVE
- Passion for sports and how technology can enhance performance.
- Experience developing applications on Windows or Mac.
- Exposure to Visual Studio and Qt Creator.
- Familiarity with linear algebra and probabilities.
- Understanding of UI/UX design principles.
- Familiarity with Agile development tools and processes.
WHY CATAPULT?
- We have amazing people. We can promise you will work with some of the most ambitious and intelligent people in an exciting industry, and you will do some of the best work of your life.
- We encourage our people to have constructive, open and honest communication in order to make Catapult extraordinary; innovate and create smart solutions; establish a collaborative, yet challenging, environment to develop our performance and the performance of our customers.
- Our workforce spans more than 20 countries, you'll have the opportunity to work across multiple nationalities and cultures, and build your global awareness and capability
- We value improvement and development. We are challenging ourselves to continuously grow and become a high-performance company. That means we maintain a growth mindset in everything we do, and our people are always looking for ways to do things better. There is unlimited opportunity to grow, do more, and do better.
Whether you’re interested in sports or not, you’ll have the satisfaction of knowing your work is supporting some of the most successful teams and athletes on the planet!
Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other marginalised groups tend to only apply when they check every box. So if you think you have what it takes, but don't meet every single point in our job ad, please still get in touch! We would love to have a chat and see if you could be a great addition to our team. We are building the future of sports performance, our priority is to find the brightest talent that can add to our team culture, those who actively contribute and who are excited about what they do.
All offers of employment are subject to Catapult's positive pre-hire check. To find out more, please contact the Talent Partner for this role.
Top Skills
What We Do
Catapult exists to unleash the potential of every athlete and team on earth. Operating at the intersection of sports science and analytics, Catapult products are designed to optimize performance, avoid injury, and quantify return to play.
Catapult has over 400 staff based across 24 locations worldwide, working with more than 3,200 elite teams in 137 countries globally. To learn more about Catapult and to inquire about accessing performance analytics for a team or athlete, visit us at catapultsports.com.
Catapult Group International Limited (CAT) is listed on the Australian Stock Exchange.
