Machine Learning Engineer | Global Leader

Machine Learning Engineer

Location: Oxford, England

Are you passionate about pushing the boundaries of technology? Do you want to work on products that are at the forefront of innovation?

The Role: 
We are looking for an outstanding Machine Learning Engineer with a strong focus on Computer Vision to join our clients research team in Oxford. You will be instrumental in driving innovation for our clients leading-edge products. This is a unique opportunity to contribute to the technical direction, explore new research areas, and lead your own projects.
This position is a Hybrid role which requires 2-3 days on site in out clients Oxfordshire offices.

Key Responsibilities:

Contribute to the development of advanced complex products with a focus on research and innovation.

Qualifications:

• Relevant academic (research Masters/PhD level) and/or industry experience.

Essential Skills:

• Experience solving computer vision problems—such as object detection and human pose estimation—using machine learning methods like CNNs and ViTs, combined with non-ML algorithms.
• Proven experience with advanced techniques for modeling human and object shape, appearance, and movement.
• Strong team collaboration skills.
• Expertise in handling large spatio-temporal datasets and applying machine learning for time-series analysis.
• Proficiency in Python and ML toolkits such as PyTorch, Lightning, etc.

Desirable Skills:

• Relevant conference, journal, or peer-reviewed publications.
• Experience delivering the full ML development lifecycle, from research prototypes to production within standalone applications.
• Interest and experience in human motion capture, sports, or animation tools and techniques.
• Familiarity with C++.

This is an excellent opportunity to join a global leader within their field. Benefits include Competitive salary, 10% Company Pension, 25 days Annual Leave + Bank Holidays, Life Cover, Private Medical with Optical/Dental Insurance, Permanent Health Insurance, Cycle to work scheme, Free On-site Parking.

Apply now for more info.