Xcede | Senior Computer Vision Engineer (LLMs)

Xcede

London

1 month ago

Applications closed

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Senior Software Engineer

Senior Computer Vision Engineer (Vision Language Models)

Increase your chances of an interview by reading the following overview of this role before making an application.

London office x3 days per week

Competitive Salary

** Applicants must have proven experience working withvision language modelsanddeploying solutionsin real world environment. **

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:

Must have proven experience working with vision language models and deploying solutions in real world environment.
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 for more info!

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