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Machine Learning Engineer

SSC Recruitment Solutions Ltd
Posted 12 days ago, valid for 21 days
Location

Oxford, Oxfordshire OX1 1HB, England

Salary

£20.83 - £36.46 per hour

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Contract type

Full Time

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Sonic Summary

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  • Job Title: Computer Vision MLE
  • Salary: Not specified
  • Experience Required: Extensive experience solving computer vision problems with machine learning methods
  • Qualifications: Research Masters/PhD level or relevant industry experience
  • Skills: Demonstrated experience in object detection, human pose estimation, and technical leadership within teams

Our client is a world leader in high performance software and hardware products, they are looking for an excellent MLE to join the research team.
This opportunity has a particular focus on research innovation.
You will have significant opportunities to drive technical direction, and the potential to provide technical leadership.

Qualifications & Experience

Qualifications 

You have relevant academic (research Masters/PhD level) and/or industry experience.

Experience

Extensive experience solving computer vision problems – such as object detection and human pose estimation – with the application of appropriate machine learning methods, such as CNNs and ViTs, in conjunction with non-ML algorithms.

  • Demonstrated experience using leading-edge methods for modelling human and object shape, appearance and movement.
  • Experience providing technical leadership within teams and excellent team working abilities.
  • Track record of using novel techniques for extracting value (building insights) from multi-disciplinary high-fidelity and unstructured data.
  • Examples of working with large spatio-temporal datasets, and machine learning expertise for solving time-series domain issues.
  • Experience delivering the full ML development lifecycle, taking systems from research prototypes through to development and production within a standalone application.
  • Experience with Python and ML toolkits, e.g. PyTorch, Lightning, etc.

Desirable Skills          

  • Experience, aptitude, and a desire to work with human motion capture, sport, animation tools and techniques.
  • Relevant conference, journal, or other peer-reviewed output.
  • Familiarity with GPU techniques for image processing and implementation of neural networks.
  • Familiarity with C++.

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