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Computer Vision ML Engineer

Job in Aberdeen, Aberdeen City Area, AB10, Scotland, UK
Listing for: Harnham - Data & Analytics Recruitment
Contract position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    AI Engineer, Computer Science, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 600 GBP Daily GBP 600.00 DAY
Job Description & How to Apply Below
Computer Vision ML Engineer Fully Remote6 Month Contract Outside IR35 £ 550 to £600 per day The Company They are a global technology organisation with a dedicated research function focused on applied AI and graphics. The team operates at the intersection of machine learning, computer vision, and low-level optimisation, working closely with hardware accelerators on mobile devices. They combine research depth with practical delivery, aiming to push image and video quality beyond current standards.

The Role and Deliverables Develop and experiment with advanced computer vision and machine learning techniques for image and video enhancement. Apply Generative AI approaches such as diffusion models and GANs to 2D-to-3D conversion and reconstruction problems. Work hands-on with graphics-focused pipelines, considering performance on mobile accelerators. Contribute to research outputs, including high-quality publications suitable for leading conferences. Collaborate with engineers and researchers to translate experimental work into product-ready solutions.

Your Skills & Experience Strong experience in computer vision, machine learning, and graphics-focused problem solving. Practical application of Generative AI techniques, including diffusion models, GANs, and related reconstruction methods. Experience working close to hardware, accelerators, or low-level optimisation, particularly in mobile or embedded environments. Comfortable operating in a research-driven setting, with the ability to produce well-documented, high-quality technical outputs. An open technical profile, whether from an engineering or research background, with evidence of impactful work.

How to Apply

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