Hardware / Senior Hardware Engineer

Our client is an innovative technology company developing AI and computer vision solutions to solve complex real-world challenges. They are looking for a Computer Vision Engineer to join their growing team and help build, deploy and optimise production-grade computer vision systems. This is a hands-on role where you'll work across the full lifecycle of computer vision development, from image processing and model deployment through to monitoring and performance optimisation Own and evolve scalable computer vision and image processing pipelines end-to-end. Lead the deployment of CV models into production across cloud and edge environments. Design and optimise detection, segmentation, and classification systems for real-world performance. Drive model optimisation for latency, reliability, and scalability in production systems. Establish robust testing, monitoring, and performance tracking for deployed systems. Strong experience with Python and production-grade software engineering. Proven experience deploying machine learning / computer vision models into production. Experience with multispectral or advanced imaging data. AWS or other cloud infrastructure experience. Familiarity with MLOps practices (monitoring, model registries, deployment pipelines). Experience with YOLO, U-Net, Mask R-CNN or similar architectures.