Computer Vision Engineer
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Job description
About the CompanyWe're a UK-based technology business building AI-led vision systems that turn image and video streams into automated, real-time insight. Our products are used in operational environments where speed, reliability, and accurate detection matter-helping teams monitor large areas and respond quickly when something changes.The RoleWe're looking for a Machine Learning / Computer Vision Engineer to help tackle challenging real-world problems using modern deep learning. You'll work closely with a multidisciplinary team to develop, productionise, and deploy computer vision models that run reliably across cloud and edge environments.What You'll Be DoingBuild, test, and improve production-grade deep learning models for computer vision tasks (classification, detection, segmentation, tracking)Optimise and deploy CV/ML pipelines to cloud and edge platformsDesign, curate, and manage image/video datasets for training and evaluationDevelop and maintain annotation workflows and
Requirements
toolingCreate synthetic data pipelines (including generative approaches) to augment real-world datasetsStay current with emerging tools, methods, and best practices in CV/MLWhat We're Looking ForDegree in Computer Science, Electrical Engineering, Robotics (or similar), or equivalent commercial experienceProven experience delivering deep learning solutions for core CV tasks (classification / detection / segmentation / tracking)Strong skills with PyTorch (or similar) and CV libraries such as OpenCV / scikit-imageStrong, production-ready Python engineering (version control, testing, code reviews)Analytical mindset with strong problem-solving abilityClear communicator who works well in a collaborative teamNice to HaveExperience with real-world sensor data (e.g., RGB-D, thermal, radar)Model optimisation/deployment tooling (ONNX, TensorRT)Edge deployment experience (e.g., NVIDIA Jetson or other resource-constrained devices)Familiarity with MLOps tooling (e.g., DVC, MLflow)Relevant open-source contributions in computer vision