Senior Computer Vision Engineer

About the Role

Our client is seeking a highly skilled Senior Computer Vision Engineer to join their innovative team, pushing the boundaries of visual intelligence. In this role, you will design, develop, and deploy state-of-the-art computer vision algorithms and systems for a variety of applications. You will work with large-scale datasets and cutting-edge hardware to create solutions that understand and interpret the visual world. This position, based in Sunderland, Tyne and Wear, UK , operates entirely remotely, offering unparalleled flexibility and access to talent worldwide, and is key to building intelligent systems that see and understand.

Key Responsibilities

• Develop and optimize computer vision algorithms for tasks such as object detection, recognition, segmentation, and tracking.
• Design and implement end-to-end computer vision pipelines, from data ingestion to model deployment.
• Collaborate with cross-functional teams to define requirements and integrate CV solutions into products.
• Conduct research on novel computer vision techniques and stay current with advancements in the field.
• Optimize algorithms for performance on various hardware platforms, including embedded systems.

Requirements

• M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision.
• 5+ years of hands-on experience in developing and deploying computer vision models.
• Proficiency in programming languages like C++ and Python, and libraries such as OpenCV, dlib, and ML frameworks (TensorFlow, PyTorch).
• Experience with deep learning architectures for vision tasks (e.g., CNNs, Transformers).
• Strong understanding of image processing techniques and signal analysis.

Benefits

• Competitive salary and comprehensive benefits.
• Opportunity to work on impactful and challenging computer vision projects.
• Fully remote work environment with a focus on work-life balance.
• Access to advanced computing resources and datasets.
• Continuous learning opportunities and support for professional growth.