2 of 2 Permanent Computer Vision Engineer Jobs in Central London

individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have … legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, open-source AI models. You will drive the entire lifecycle of our models, from research to real-world deployment. … Key responsibilities include: Developing, training, and optimizing state-of-the-art computer vision models, with a primary focus on the Ultralytics YOLO ecosystem. Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets. Leading the full lifecycle of model development, from research and training to validation and performance benchmarking. Mastering model export to various More ❯

I am searching for a Lead Computer Vision Engineer to join a high-growth startup revolutionizing sports analytics using AI. They're backed by serious investor support and building transformative tech that’s changing how elite-level performance is understood and optimized. You’d lead the charge on computer vision systems—from R&D to … time processing, and building 0–1 systems with impact, this is worth a look. 📍 Location: Remote (with quarterly London meetups) 💼 Mission: Redefining how performance is measured using cutting-edge vision systems 💡 Why join? Lead innovative projects at the intersection of AI + video + sport science Fully backed startup with funding and traction Remote-first culture with real autonomy … and ownership 🚀 Your Role: Build and optimize vision models (object tracking, pose estimation, segmentation) Take prototypes to production with PyTorch, TensorFlow, Docker Drive product development and mentor other engineers Collaborate across product, data, and engineering for real-world deployment Apply now More ❯