Senior Computer Vision Engineer
- leeds, west yorkshire, LS1 5DJ, United Kingdom
- Full time
- £78,000 - £78,000 Per Annum
Job Description
About the Role
Our client is seeking a skilled Senior Computer Vision Engineer to join their innovative R&D team in Leeds . This role is central to developing and deploying advanced computer vision algorithms for a variety of applications, from image recognition and object detection to video analysis and augmented reality. You will be instrumental in shaping the future of visual intelligence, working with cutting-edge technologies and large datasets. Join a forward-thinking company that values scientific rigor and practical application, contributing to impactful projects within Leeds 's growing tech sector, and collaborating with a team dedicated to pushing the boundaries of what machines can 'see' and interpret.
Key Responsibilities
- Design, implement, and optimize computer vision algorithms for real-time applications.
- Develop and train deep learning models for tasks such as image classification, object detection, segmentation, and tracking.
- Collaborate with software engineers to integrate vision models into production systems and products.
- Evaluate and benchmark the performance of vision systems, identifying areas for improvement.
- Stay abreast of the latest research and advancements in the field of computer vision and machine learning.
Requirements
- Master's or PhD in Computer Science, Electrical Engineering, or a related field with a focus on computer vision.
- 5+ years of professional experience in computer vision development.
- Proficiency in C++ and Python, and strong experience with libraries like OpenCV, CUDA.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with image processing techniques, camera calibration, and 3D vision is a plus.
Benefits
- Competitive salary with an annual performance bonus.
- Comprehensive health, dental, and vision insurance.
- Generous pension scheme and life assurance.
- Support for continuous learning, including conference attendance and relevant training.
- An engaging and collaborative work environment in Leeds with flexible working hours and hybrid options.


