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 ComputerVisionEngineer 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 ComputerVisionEngineer 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 computervision 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 ❯
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 ComputerVisionEngineer 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 ComputerVisionEngineer 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 computervision 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 ❯
Neurolabs is looking for a talented Senior Machine Learning Engineer to join our team. As an ML Engineer at Neurolabs, you will be responsible for developing, implementing, and optimizing ComputerVision models that empower our retail automation solutions. Your expertise will play a crucial role in transforming images into structured data and driving product enhancements that … meet our client's needs. We are committed to democratising ComputerVision in the retail space, and your contributions will directly influence the impact of our solutions across various sectors. Responsibilities Model Development: Design, build, and deploy Large Vision Models (LVMs) for applications focused on enhancing customer experience, workforce efficiencies, and product performance. Data Preparation: Collaborate with … model architectures and hyperparameters to improve performance throughput while maintaining efficiency. Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and platform engineers, to deliver integrated ComputerVision solutions. Performance Monitoring: Monitor live models and performance metrics, troubleshoot issues, and implement updates as necessary to ensure optimal performance. Continuous Learning: Stay updated with the latest More ❯
million funding round, we're on a mission to transform the used car market. About the role: We're looking for an experienced and driven Lead Machine Learning Engineer to lead our Machine Vision team. This role focuses on taking full responsibility for developing, deploying, and maintaining high-quality, performant computervision models, including classification, object … to streamline vehicle profiling and transform the online vehicle selling and buying experience for all our customers - including both sellers and dealers. In this role, you'll lead the computervision side, manage and mentor at least one Machine Learning Engineer (MLE), and collaborate closely with machine learning engineers, backend engineers, and product managers to develop scalable … combine technical brilliance with strong commercial acumen and understanding ofproduct needs, with pragmatic scalable and robust solutions at the core of your decision making. By applying your expertise in computervision, leading Gen AI technologies exploration, and team leadership, you'll create cutting edge applications that push the boundary at the interface of AI in the online automotive More ❯
I am searching for a Lead ComputerVisionEngineer 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 computervision 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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Understanding Recruitment
I am searching for a Lead ComputerVisionEngineer 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 computervision 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 ❯
denied fields. Spacecraft that rendezvous with tumbling targets in orbit. All of these feats demand robust scene understanding from multiple sensors. That's where you come in. As a ComputerVisionEngineer (Multimodal Sensing) you'll implement and refine perception algorithms that fuse cameras, LiDAR, radar, event sensors, and beyond. Working shoulder to shoulder with a top … tested, high performance code into flight processors, Hardware in the Loop (HIL) and Software in the Loop (SIL) setups, and real missions. What we are looking for M.S. in ComputerVision/Robotics, or a related field plus . 3+ of industry experience (or a PhD). Expertise in multimodal perception & sensor fusion, neural representations, semantic scene understanding More ❯
denied fields. Spacecraft that rendezvous with tumbling targets in orbit. All of these feats demand robust scene understanding from multiple sensors. That's where you come in. As a ComputerVisionEngineer (Multimodal Sensing) you'll implement and refine perception algorithms that fuse cameras, LiDAR, radar, event sensors, and beyond. Working shoulder to shoulder with a top … tested, high performance code into flight processors, Hardware in the Loop (HIL) and Software in the Loop (SIL) setups, and real missions. What we are looking for M.S. in ComputerVision/Robotics, or a related field. Expertise in at least two of the following: multimodal perception & sensor fusion, neural representations, semantic scene understanding, SLAM/camera pose More ❯
London, England, United Kingdom Hybrid / WFH Options
Harnham
Our Client is building capability in cutting-edge ML, with a focus on LLM-based video processing - aiming to understand and classify video content using advanced models.Looking for talent with hands-on experience in video analysis and natural language understanding. More ❯
