
Hybrid Machine Learning Engineer (Computer Vision) bei Oxford Metrics Plc
Oxford Metrics Plc · Botley, Vereinigtes Königreich · Hybrid
- Junior
- Optionales Büro in Botley
We are looking for an excellent Computer Vision MLE to join our research and development team in Oxford, England.
Key Responsibilities
You will have opportunities to contribute to technical direction, suggest new areas of research and the potential to guide your own project.
We offer a hybrid on-site/home-based working environment, with head office located in a major academic city.
Required Skills, Knowledge and Expertise
Experience
Essential Skills
• 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.
• Excellent team working abilities with positive, can-do attitude.
• Examples of working with large spatio-temporal datasets.
• Experience with Python and ML toolkits, e.g. PyTorch, Lightning, etc.
Desirable Skills
• Relevant conference, journal, or other peer-reviewed output.
• Experience delivering the full ML development lifecycle, taking systems from research prototypes through to development and production within a standalone application.
• Experience with model quantisation and optimisation for deployment, e.g. on GPUs.
• Experience, aptitude, and a desire to work with human motion capture, sport, animation tools and techniques.
• Familiarity with C++.