2 of 2 Video Analytics Jobs in the UK

WE are seeking an experienced AI Architect to lead the design, development, and deployment of advanced AI solutions with a strong focus on computer vision and intelligent video analytics. The successful candidate will have hands-on expertise in Nvidia AI Enterprise technologies, including training and fine-tuning computer vision models, and practical experience with Nvidia Metropolis and Open USD … solutions are robust, secure, and aligned with business objectives. Skills Nvidia AI Enterprise platform expertise Training and fine-tuning of computer vision models Experience with Nvidia Metropolis for intelligent video analytics Knowledge of Open USD (Universal Scene Description) framework Strong understanding of AI model lifecycle and deployment Integration of AI solutions with industrial machinery and systems Proficiency in More ❯

A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You'll be part of a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports … analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques … pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure: AWS/GCP/Azure, Docker, Kubernetes, MLflow, CI/CD pipelines Bonus: Experience with wearable/sensor data, player tracking More ❯