Computer Vision Engineer

About the Role

Our client is seeking a talented Computer Vision Engineer to join their innovative product development team in Leeds . You will play a key role in developing and implementing cutting-edge computer vision algorithms for a range of exciting applications, from image analysis to object recognition and augmented reality. This role offers the chance to work with large datasets, advanced hardware, and collaborate with a cross-functional team of engineers and researchers. Join us to push the boundaries of visual intelligence and create impactful solutions that shape the future of technology.

Key Responsibilities

• Develop, test, and deploy state-of-the-art computer vision algorithms for real-time image and video analysis.
• Implement solutions for object detection, image segmentation, facial recognition, and 3D reconstruction.
• Optimize algorithms for performance and efficiency on various hardware platforms, including embedded systems.
• Collaborate with software developers to integrate computer vision modules into larger applications and products.
• Work with large datasets, including annotation, preprocessing, and management for training ML models.
• Stay up-to-date with the latest research and advancements in the field of computer vision.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 2+ years of professional experience in computer vision development.
• Strong programming skills in Python or C++, with expertise in libraries like OpenCV, TensorFlow, or PyTorch.
• Solid understanding of image processing techniques, machine learning, and deep learning principles.
• Experience with camera calibration, geometric vision, and 3D vision techniques.
• Excellent problem-solving abilities and a proactive approach to challenges in Leeds .

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work on innovative and challenging projects in a growing field.
• Flexible working hours and a remote-friendly culture.
• Professional development opportunities, including access to training and conferences.
• Collaborative and supportive team environment.
• Contribution to cutting-edge technology that impacts user experiences.