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Senior computer vision engineer

Oxford
Think IT Resources
Computer vision engineer
Posted: 22 May
Offer description

Job Description

My client is currently looking for a Senior Computer Vision to join there exciting projects. This is an exciting company who is going through a real growth period and you will be working on leading edge projects.


Key Responsibilities

* Design and implement advanced computer vision algorithms using multi-sensor inputs.
* Develop and deploy AI models on edge and embedded platforms (e.g., Nvidia Jetson, Raspberry Pi).
* Build and maintain robust machine learning pipelines for deployment in air-gapped or offline environments.
* Work closely with engineers, researchers and domain experts to integrate perception modules into complete systems.
* Track the latest developments in computer vision, sensor fusion and generative AI, and apply relevant techniques to your work.
* Deliver solutions suitable for mission-critical defence applications with consideration for performance and security.


Required Qualifications & Experience

* At least 5 years of industry experience in AI/computer vision, including delivery into operational systems.
* Demonstrable experience deploying solutions into defence, aerospace, or other regulated domains.
* Deep understanding of computer vision techniques for detection and localisation.
* Strong experience working with embedded or constrained compute platforms.
* Proficiency in Python and major machine learning frameworks (e.g., PyTorch, TensorFlow).
* Experience with version control (Git), containerisation (Docker), and cloud technologies (e.g., AWS).
* Experience with building and maintaining end-to-end ML pipelines.
* Degree (BSc, MSc, or PhD) in Computer Science, Engineering, or a related discipline.
* Strong communication skills and an ability to collaborate effectively with technical and non-technical teams.
* This role requires security clearance so please only apply if you are eligible for security clearance or already have security clearance. This role will be hybrid working with 2-3 days a week in the office. Please send your CV across ASAP and call for more information.

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