Computer Vision Engineer

About the Role

Our client is seeking a talented and motivated Computer Vision Engineer to join their innovative R&D team, based in Southampton , with a strong emphasis on remote collaboration. You will be instrumental in designing, developing, and deploying advanced computer vision systems for a variety of applications, pushing the boundaries of what's possible in image and video analysis. This role offers a fantastic opportunity to work on challenging projects, contribute to cutting-edge AI development, and collaborate with a team of experts in a flexible work environment that supports both in-office and remote contributions.

Key Responsibilities

• Develop and implement algorithms for image recognition, object detection, tracking, and image processing.
• Design and train deep learning models for computer vision tasks using frameworks like TensorFlow or PyTorch.
• Optimize computer vision algorithms for real-time performance and efficiency on various hardware platforms.
• Collaborate with software engineers and data scientists to integrate vision capabilities into larger systems.
• Conduct research into new computer vision techniques and technologies.
• Evaluate and validate the performance of computer vision models and systems.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
• Proven experience in developing and deploying computer vision applications.
• Strong programming skills in Python or C++ , with experience in relevant libraries (e.g., OpenCV, scikit-image).
• Proficiency with deep learning frameworks (TensorFlow, PyTorch) for computer vision.
• Understanding of image processing techniques and principles.
• Experience with cloud computing platforms and distributed systems is a plus.

Benefits

• Competitive salary and potential for performance-based bonuses.
• Comprehensive health, dental, and vision coverage.
• Flexible working options, including significant remote work opportunities.
• Access to cutting-edge technology and research facilities.
• Supportive team environment focused on innovation and professional growth.