Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
The position is based in London (commuting distance) with flexible remote options.
Required skills include hands-on experience in C++ and Python, plus experience with Kubernetes, PyTorch, MLOps (automated re-training, drift monitoring), TensorRT, Nvidia DeepStream/Gstreamer, and AWS.
Hudl is one of Newsweek's Top 100 Global Most Loved Workplaces, focusing on supporting employees and fostering a culture of learning and growth.
Strong candidates have a proven track record of delivering impactful AI/ML products through collaboration, strong communication skills to express technical concepts to stakeholders, and a growth mindset to learn new technologies in ambiguous environments.
Video analysis tools for sports teams
Hudl provides tools for sports teams to capture, analyze, and learn from video and data. Their platform serves over 230,000 teams across 40 sports, including high school clubs and professional athletes. The service operates on a subscription model, offering performance analysis tools, AI-powered cameras for video capture, and online streaming for games. These smart cameras can livestream and record games, utilizing AI to ensure comprehensive coverage. Hudl also includes features for player recruitment, helping athletes connect with scouts and colleges. The company aims to enhance the growth of athletes, coaches, and teams by providing easy access to valuable information, ultimately maximizing their performance.