2 of 2 Remote Computer Vision Engineer Jobs in Berkshire

Location: London - Hybrid We’re seeking a Staff Computer Vision Engineer to help scale our vision AI product into a high-performing, reliable, production-ready platform. You’ll contribute deep technical expertise, scientific rigor, and a strong product-focused perspective. This position is ideal for someone who thrives on tackling complex challenges, staying deeply engaged in … optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation. Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases. Deliver Proven Solutions — Experiment rapidly using PyTorch, validate rigorously, and productionize what … technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Requirements PhD (or equivalent) in Computer Vision, Machine Learning, or related field. Proven record deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV More ❯

Senior 3D Computer Vision Engineer Location: Hybrid/Flexible (UK) Employment type: Full-time — Senior, hands-on engineering role We’re working with a fast-moving technology company building large-scale 3D vision systems for industrial applications. The team is small and highly technical; this role combines end-to-end engineering, product delivery and mentoring of … performance bottlenecks across inference, data handling and infrastructure. Translate recent research advances into reliable, maintainable software and mentor more junior engineers. About you (essential) 5+ years’ experience in 3D computer vision, computational geometry or a closely related field. Proven track record shipping ML/AI systems into production (end-to-end pipelines). Strong software engineering skills — production … grade Python and engineering best practices. Practical experience with point cloud/spatial data processing or equivalent 3D data modalities. MSc or PhD in Computer Science, Machine Learning, Robotics or similar. Nice to have (not required) Experience at an early stage or scale-up environment. Familiarity with commonly used 3D/vision toolkits and cloud deployment patterns. Exposure More ❯