Computer Vision Engineer

About the Role

Our client is seeking a highly skilled Computer Vision Engineer to join their innovative research and development team in Sunderland . This role focuses on developing and implementing advanced algorithms for image and video analysis, enabling groundbreaking applications in areas such as autonomous systems, medical imaging, and augmented reality. You will be at the forefront of technological advancement, working with state-of-the-art techniques and large datasets. The successful candidate will contribute to creating intelligent systems that can 'see' and interpret the visual world, working in a fast-paced, collaborative environment that fosters creativity and scientific rigor. This is an exceptional opportunity for a passionate engineer to make a tangible impact on the future of visual AI.

Key Responsibilities

• Develop, train, and deploy computer vision models for tasks such as object detection, image segmentation, and facial recognition.
• Implement and optimize algorithms for real-time image and video processing on various hardware platforms.
• Collaborate with software developers to integrate computer vision capabilities into product solutions.
• Conduct research into new CV techniques and libraries, staying abreast of the latest advancements in the field.
• Evaluate model performance, identify limitations, and implement improvements for accuracy and efficiency.

Requirements

• Master's degree or higher in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision.
• 5+ years of professional experience in computer vision development.
• Strong programming skills in Python or C++ and extensive experience with CV libraries (e.g., OpenCV, Dlib).
• Proficiency with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Experience with image/video data handling and annotation pipelines.

Benefits

• Excellent salary and bonus potential, reflecting experience and contributions.
• Comprehensive health and well-being benefits package.
• Generous paid time off and company holidays.
• Support for professional development, including workshops and conferences.
• A forward-thinking and inclusive work culture focused on innovation.