Computer Vision Engineer
- southampton, hampshire, SO14 0AA, United Kingdom
- Full time
- Remote
- £70,000 - £70,000 Per Annum
Job Description
About the Role
Our client is looking for a highly skilled Computer Vision Engineer to join their innovative and entirely remote team. You will be instrumental in designing, developing, and deploying cutting-edge computer vision systems that power advanced applications. This role requires a deep understanding of image processing, machine learning, and deep learning techniques applied to visual data. You will collaborate with a talented group of researchers and engineers, contributing to projects that push the boundaries of visual intelligence from anywhere in the world. This is a prime opportunity to work on challenging problems in a supportive, remote-first culture.
Key Responsibilities
- Develop and optimize computer vision algorithms for tasks such as object detection, image segmentation, and tracking.
- Implement and fine-tune deep learning models for visual recognition and analysis.
- Process and analyze large image and video datasets for model training and validation.
- Collaborate with software engineers to integrate computer vision models into production systems.
- Stay current with the latest research and advancements in computer vision and AI.
Requirements
- Master's or PhD in Computer Science, Electrical Engineering, or a related field with a focus on computer vision.
- 3+ years of hands-on experience in computer vision development.
- Proficiency in Python and C++, along with libraries like OpenCV, TensorFlow, or PyTorch.
- Solid understanding of image processing techniques and deep learning architectures.
- Experience with cloud platforms and distributed computing environments is a plus.
Benefits
- Competitive salary and performance-based incentives.
- Fully remote work environment with flexible hours.
- Comprehensive health, dental, and vision coverage.
- Opportunities for professional growth and continuous learning.
- Engaging work on state-of-the-art computer vision projects.


