Senior Computer Vision Engineer
- plymouth, devon, PL11AA, United Kingdom
- Hybrid
- Full time
- £77,000 - £77,000 Per Annum
Job Description
About the Role
Our client is seeking an innovative Senior Computer Vision Engineer to join their cutting-edge R&D team in Plymouth . You will be at the forefront of developing and implementing advanced computer vision algorithms for a range of applications, leveraging state-of-the-art AI techniques. This role involves tackling complex challenges in image and video analysis, contributing to the development of intelligent systems that perceive and interpret the visual world. Join a collaborative team dedicated to advancing the capabilities of AI & Emerging Technologies .
Key Responsibilities
- Design, develop, and optimize computer vision algorithms for tasks such as object detection, recognition, segmentation, and tracking.
- Implement deep learning models for computer vision applications using frameworks like PyTorch or TensorFlow.
- Process and analyze large image and video datasets, ensuring data quality and relevance.
- Collaborate with software engineers to integrate computer vision solutions into products and systems.
- Stay current with the latest research and advancements in the field of computer vision and related AI domains .
Requirements
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in computer vision.
- 5+ years of experience in developing and deploying computer vision systems.
- Strong proficiency in Python and computer vision libraries (e.g., OpenCV, scikit-image).
- Solid understanding of deep learning architectures relevant to computer vision (e.g., CNNs, Transformers).
- Experience with GPU acceleration and performance optimization techniques.
Benefits
- Competitive salary and performance incentives.
- Hybrid work model based in Plymouth .
- Opportunity to work on challenging and impactful computer vision projects.
- Comprehensive health, dental, and vision insurance.
- Support for professional development and continued learning in AI and Computer Vision .


