Computer Vision Engineer
- bradford, west yorkshire, BD58AY, United Kingdom
- Permanent·Remote
- Full time
- £80,000 - £80,000 Per Annum
Job Description
About the Role
Our client is seeking a highly skilled Computer Vision Engineer to join their innovative research and development team, operating on a fully remote basis. This role focuses on developing and implementing advanced algorithms for image and video analysis, object detection, tracking, and recognition. You will contribute to projects that push the boundaries of visual intelligence, working with cutting-edge technologies and large-scale datasets. This is a fantastic opportunity for a talented engineer to make a significant impact within a forward-thinking company, collaborating with a global team from anywhere.
Key Responsibilities
- Design, develop, and optimize computer vision algorithms for real-time applications.
- Implement deep learning models for image classification, object detection, segmentation, and tracking.
- Process and analyze large datasets of images and videos, ensuring data quality and relevance.
- Collaborate with software engineers to integrate computer vision modules into larger systems and products.
- Conduct research on new computer vision techniques and evaluate their applicability to project goals.
Requirements
- Master's or PhD in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision.
- Proven experience in developing computer vision systems using libraries like OpenCV, and deep learning frameworks (TensorFlow, PyTorch).
- Strong programming skills in Python and C++.
- Familiarity with image processing techniques and mathematical foundations of computer vision.
- Experience working in a remote or distributed team environment, with strong communication skills.
Benefits
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision insurance.
- Fully remote work arrangement with flexible hours.
- Generous budget for professional development, conferences, and training.
- Collaborative and innovative research environment focused on pushing technological frontiers.


