Computer Vision Engineer
- sunderland, tyne and wear, SR1 1AE, United Kingdom
- Permanent·Hybrid
- Full time
- £70,000 - £70,000 Per Annum
Job Description
About the Role
Our client is seeking a talented Computer Vision Engineer to join their innovative team focused on AI & Emerging Technologies in Sunderland, Tyne and Wear, UK . You will be instrumental in developing and implementing cutting-edge computer vision solutions, working with state-of-the-art algorithms and large-scale datasets. This role offers the exciting opportunity to contribute to projects that have a tangible impact, leveraging visual data to create intelligent systems and drive advancements in various applications, all within a hybrid working model that blends office collaboration with remote flexibility.
Key Responsibilities
- Design, develop, and deploy robust computer vision algorithms and models.
- Implement solutions for image recognition, object detection, segmentation, and tracking.
- Process and analyze large volumes of image and video data.
- Collaborate with software engineers to integrate vision systems into larger applications.
- Optimize algorithms for real-time performance on various hardware platforms.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a focus on computer vision.
- Proven experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and computer vision libraries (e.g., OpenCV).
- Proficiency in Python or C++ for algorithm development and implementation.
- Strong understanding of image processing techniques and machine learning fundamentals.
- Experience working in a hybrid work environment, collaborating effectively with colleagues in Sunderland .
Benefits
- Attractive salary and comprehensive benefits package.
- Opportunity to work on exciting and technically challenging projects in computer vision.
- Access to advanced hardware and software tools.
- Hybrid work model offering a balance between office and remote work.
- Supportive team environment committed to professional growth.


