Machine Learning Engineer

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Are you ready to push the boundaries of computer vision and machine learning?

We’re looking for a talented Machine Learning Engineer to join an innovative team developing high-performance software and cutting-edge hardware used across entertainment, engineering, medical, sports and many more.

In this role, you’ll be part of a collaborative research and development environment, working on challenging computer vision problems and delivering solutions that power real-world applications.

What you’ll be doing:

• Tackling computer vision challenges such as object detection, human pose estimation, and modelling shape, appearance, and movement.
• Applying advanced ML methods (CNNs, ViTs) alongside non-ML algorithms.
• Working with large spatio-temporal datasets.
• Taking projects from research prototypes through to production.
• Collaborating with a skilled, multidisciplinary team in a hybrid setup.

What we’re looking for:

• Strong academic (research Masters/PhD) or equivalent industry experience in computer vision & machine learning.
• Proven track record applying ML techniques to solve vision problems.
• Python, PyTorch, and Lightning experience essential; C++ a bonus.
• Experience with model optimisation (e.g., quantisation for GPUs) is desirable.
• A proactive, collaborative mindset with a passion for innovation.

What’s on offer:

• Private medical cover (including optical & dental)
• Life cover & permanent health insurance
• Free on-site parking and many more...

If you want to be part of a forward-thinking team shaping the future of motion capture and computer vision, we’d love to hear from you.

Diversity & Inclusion

Humand Talent and our client believe that innovation is stronger when built by diverse teams. We’re proud to support equal opportunity for all, and welcome applicants regardless of age, disability, gender identity, race, religion or belief, sex, sexual orientation, or background. We celebrate difference - and we want to hear from you.

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Full-time

• Job function
  
  Engineering and Information Technology
• Industries Technology, Information and Media

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