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.
Machine Learning Engineer
We are building a suite of state-of-the-art machine learning models for computer vision applications in medical imaging. Your role will focus on helping to productionize these models:
1. Optimising and parallelising training across multiple GPUs and GPU nodes.
2. Developing fast scalable inference pipelines.
3. Implementing new machine learning models from cutting edge research.
4. Improving computational resource utilisation efficiency.
5. Develop metrics and track model performance over time.
Here are some signs you might love to work with us:
1. You are excited to work in an innovative start-up in one of the most exciting cities in the world.
2. You enjoy working with a multidisciplinary team and collaborating with your colleagues.
3. You can work independently to drive projects to completion.
4. You want to work in a company that aims to make a real difference in people’s lives.
Minimum Requirements:
1. Minimum BSc in a STEM subject.
2. Full right to work in the UK without restriction, time limit, or sponsorship.
3. Produce maintainable, testable, documented, production-grade code.
4. Strong written and verbal communication skills.
5. 2+ years of industry experience.
Preferred Skills and Experience:
1. Proficiency with (typed) Python and Pytorch.
2. Experience with parallelizing machine learning code across devices and nodes.
3. Experience with machine learning development systems such as Weights & Biases, ClearML, MLFlow, Comet.
4. Proficiency with Docker or other containerization tools.
5. Strong proficiency with Linux operating systems and Git.
6. Experience with cloud providers (AWS preferred).
7. Experience working in a team using agile methodologies.
8. 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.
Benefits:
1. Flexible working hours.
2. Hybrid working policy (2/3 days per year team meetings).
3. Competitive salary.
4. 25 days annual leave, plus bank holidays.
5. Contributory pension.
6. Private medical insurance (including pre-existing conditions).
7. Medical Cash Plan benefit.
8. Death In Service benefit.
9. Discretionary employee share options scheme.
10. Opportunities for professional development and academic collaborations in a vibrant and fast-acting company.
11. Experience in a highly regulated industry where high-quality code is essential.
12. Co-working passes.
Qureight reserves the right to amend or remove any of these at any given time.
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