Senior Computer Vision Engineer

3 weeks ago

London Area, United Kingdom Xcede Full time

Senior Computer Vision Engineer

London office x3 days per week

Competitive Salary



OVERVIEW


Successful AI Scale Up in Medical Technology/ Digital Health are hiring for a Senior Computer Vision Engineer with a focus on object detection & recognition and multimodal LLMs for their cutting-edge AI platform. Joining a top-tier team of Computer Vision Engineers to deliver exceptional work in the AI & Digital Health space. Applicants must have strong experience in writing production level code to build Computer Vision products and solutions (ideally 4+ years) with a focus on object detection and recognition, multi modal LLMs and leveraging expertise in Deep Learning techniques.



YOUR RESPONSIBILITIES:


The Senior Computer Vision Engineer’s responsibilities will include, but not be limited to:


  • Apply Object Detection & Recognition techniques to build deliver cutting-edge work for an AI Platform in Digital Health.
  • Leverage experience in data augmentation and integrating multimodal data sources including RBG & 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.



YOUR SKILLS & EXPERIENCE


A successful Senior Computer Vision Engineer will have the following:


  • 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, CUDA, OpenCV, PyTorch, Numpy.
  • Experience with imaging modalities (RGB, NIR) to enhance computer vision models.
  • Ability to write production level code in Python (C++ is also desirable) and ideally prior experience working in test-driven development environment
  • Experience applying object detection and recognition techniques to metallic or highly reflective objects is highly desirable.
  • Experience with LiDAR and imaging sensors for mobile applications in Computer Vision is desirable, but not essential.



HOW TO APPLY


Please register your interest by sending your CV to luke.frost@xcede.com for more info

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