Principal Computer Vision Architect

1 week ago


London, Greater London, United Kingdom Xcede Full time
Key Responsibilities:

The successful candidate will apply Object Detection & Recognition techniques to build cutting-edge work for an AI Platform in Digital Health.

Leverage experience in data augmentation and integrating multimodal data sources including RGB & NIR as well as Multimodal LLMs.

Apply novel approaches to cutting-edge research projects in computer vision and deep learning.

Collaborate within a high performing team of Computer Vision Engineers, in a test-driven development environment and write production level code to engineer solutions at scale for the platform.

About the Role:

A Senior Computer Vision Engineer is required to join our client's top-tier team. The ideal candidate will have a minimum of MSc (ideally PhD) + 4 years of experience in commercial real-world applications, leveraging Computer Vision techniques including Object Detection & Recognition, Image Segmentation and Multimodal LLMs.

Proficiency in Python, OpenCV, PyTorch, Numpy is essential. Experience with imaging modalities (RGB, NIR) to enhance computer vision models is highly desirable.

An estimated salary for this role is around £90,000 per annum, based on the location and industry standards.



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