Senior Machine Learning Engineer

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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 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.

Here are some signs you might love to work with us:

• You are excited to work in an innovative start-up in one of the most exciting cities in the world.
• You enjoy working with a multidisciplinary team and collaborating with your colleagues.
• You can work independently to drive projects to completion.
• You want to work in a company who wants to make a real difference in people’s lives.

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.  

Benefits

• The chance to join a friendly, motivated group of people on a mission for universal good in healthcare.

• Flexible working hours.
• Hybrid working policy (2/3 days per year team meetings)
• Competitive salary.
• 25 days annual leave, plus bank holidays.
• Contributory pension.
• Private medical insurance (including pre-existing).
• Medical Cash Plan benefit.
• Death In Service benefit.
• Discretionary employee share options scheme.
• Opportunities for professional development and academic collaborations in a vibrant and fast-acting company.
• Experience in a highly regulated industry where high-quality code is essential.
• Co-working passes.

Qureight reserve the right to amend or remove any of these at any given time.