Senior Computer Vision Engineer

About the Role

Our client is seeking a talented and experienced Senior Computer Vision Engineer to join their innovative team in Plymouth . This role is central to developing and implementing advanced computer vision algorithms and systems that power their cutting-edge products. You will work on challenging projects, from research and development to production deployment, leveraging state-of-the-art techniques in image recognition, object detection, and machine learning. This is an excellent opportunity for a skilled engineer to contribute significantly to groundbreaking projects within a collaborative, office-based environment focused on technological advancement and product excellence.

Key Responsibilities

• Design, develop, and optimize computer vision algorithms for real-time applications.
• Implement and fine-tune deep learning models for tasks such as image classification, object detection, and segmentation.
• Process and analyze large image and video datasets for training and evaluation.
• Collaborate with cross-functional teams to integrate computer vision solutions into products.
• Stay current with the latest research and advancements in computer vision and machine learning.
• Contribute to the overall architecture and technical direction of computer vision projects.

Requirements

• Master's or PhD in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision.
• 5+ years of professional experience in computer vision engineering.
• Strong proficiency in C++ and Python.
• Experience with computer vision libraries such as OpenCV.
• Expertise in deep learning frameworks like TensorFlow or PyTorch.
• Proven ability to develop and deploy computer vision models in production environments.

Benefits

• Highly competitive salary and performance-related bonuses.
• Opportunity to work on impactful, cutting-edge technology in Plymouth .
• Comprehensive health, dental, and vision insurance plans.
• Generous pension scheme and life assurance.
• Professional development opportunities and access to training resources.