Senior Machine Learning Engineer
at Qureight Ltd
London, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 13 Apr, 2025 | GBP 75000 Annual | 14 Jan, 2025 | 2 year(s) or above | Operating Systems,Docker,Git,Communication Skills,Aws,Agile Methodologies,Sponsorship | No | No |
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Description:
NO AGENCIES PLEASE - ANY RECRUITMENT RELATED QUESTIONS TO L.EVANS@QUREIGHT.COM.
About Qureight:
Qureight is a Cambridge, UK-based data analytics company with a unique cloud platform for the analysis of CT scans, blood biomarkers, and clinical results from patients with a range of complex lung and heart conditions. Technology creates models with both real-world and clinical trial data, so researchers can better understand how patients could respond to novel treatments.
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.
Responsibilities:
- 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
REQUIREMENT SUMMARY
Min:2.0Max:7.0 year(s)
Information Technology/IT
IT Software - Application Programming / Maintenance
Software Engineering
BSc
STEM
Proficient
1
London, United Kingdom