We are building a suit of state-of-the-art machine learning models for computer vision applications in medical imaging. Your role will focus on helping to productionizing these models: Optimising and parallelising training across multiple GPUs and GPU nodes. Developing fast scalable inference pipelines. Implementing new machine learning models from cutting edge research. Improving computational resource utilisation efficiency. Develop metrics and track model performance across time.
No agencies please - any recruitment related questions to l.evans@qureight.com
Requirements
Minimum Requirements:
- Minimum BSC in STEM subject
- Full right to work in the UK without restriction, time limit, or sponsorship.
- Produce maintainable, testable, documented, production-grade code.
- Strong written and verbal communication skills
- 2+ years of industry experience.
Preferred skills and experience:
- Proficiency with (typed) Python and Pytorch.
- Experience with parallelizing machine learning code across devices and nodes.
- Experience with machine learning development systems such as Weights & Biases, ClearML, MLFlow, Comet.
- Proficiency with Docker or other containerization tools.
- Strong proficiency with Linux operating systems and Git.
- Experience with cloud providers (AWS preferred).
- Experience of working in a team using agile methodologies.
- Experience in AI as a Medical Device (AIaMD), development (EU MDR/US FDA) and applicable standards (e.g. ISO 62304/ISO 14971/ISO 34971) is desirable.
https://apply.workable.com/qureight/j/883DA8DF76/
