Computer Vision Engineer

About the Role

Our client is seeking a highly skilled and creative Computer Vision Engineer to join their innovative research and development team. This is a fully remote position, allowing you to contribute to groundbreaking projects from anywhere in the UK. You will be responsible for designing, developing, and implementing advanced computer vision algorithms and systems that enable machines to interpret and understand visual information. Working on challenging problems in areas such as image recognition, object detection, and video analysis, you will play a key role in advancing our client's AI capabilities. This is an exceptional opportunity for a talented engineer passionate about the future of visual AI and eager to make a significant impact.

Key Responsibilities

• Develop and optimize computer vision algorithms for tasks such as object detection, segmentation, and tracking.
• Implement and fine-tune deep learning models for image and video analysis.
• Process and analyze large image and video datasets for training and validation.
• Integrate computer vision systems into larger AI platforms and applications.
• Collaborate with cross-functional teams to define project requirements and deliver solutions.
• Stay current with the latest research and advancements in the field of computer vision.

Requirements

• Master's or PhD degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learning.
• Strong programming skills in Python and C++.
• Proficiency with computer vision libraries such as OpenCV.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Solid understanding of image processing techniques and algorithms.
• Ability to work independently and effectively in a remote team environment.

Benefits

• Competitive salary and potential for project-based bonuses.
• Fully remote work arrangement offering excellent flexibility.
• Comprehensive health and life insurance.
• Generous holiday allowance and opportunities for professional development.
• Engage in cutting-edge research and development in a collaborative setting.