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Senior Machine Learning Engineer

Qureight Ltd
London
9 months ago
Applications closed

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Senior Data Scientist

Senior Data Scientist...

Head of Data Science Technology (Product, Engineering, Design) · London ·

Head of Data Science

Principal Data Scientist - Healthcare

Principal Data Scientist - Healthcare

No agencies please - any recruitment related questions to .

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.

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