Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Qureight is a Cambridge-based data analytics company revolutionizing healthcare through their unique cloud platform for analyzing CT scans, blood biomarkers, and clinical results from patients with complex lung and heart conditions. As a Senior Machine Learning Engineer, you'll be at the forefront of building state-of-the-art machine learning models for computer vision applications in medical imaging.
The role focuses on productionizing ML models, including optimization across multiple GPUs, developing scalable inference pipelines, and implementing cutting-edge research. You'll work with a multidisciplinary team in a vibrant startup environment, making a real difference in healthcare outcomes.
The position offers a blend of technical challenges and healthcare impact, requiring expertise in Python, PyTorch, and cloud technologies. You'll be responsible for improving computational efficiency, tracking model performance, and ensuring high-quality code in a regulated industry.
The company offers an attractive benefits package including flexible working arrangements, private medical insurance, and equity options. Based in London with a hybrid work model, this role provides an opportunity to work with innovative technology while contributing to meaningful healthcare solutions.
Ideal candidates will have 2+ years of industry experience, strong communication skills, and experience with ML development systems and containerization tools. The role offers professional development opportunities and the chance to collaborate with academic institutions in a fast-paced environment.
Responsibilities For Senior Machine Learning Engineer
- 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
Requirements For Senior Machine Learning Engineer
- Minimum BSC in STEM subject
- Full right to work in the UK without restriction
- Produce maintainable, testable, documented, production-grade code
- Strong written and verbal communication skills
- 2+ years of industry experience
- Proficiency with (typed) Python and Pytorch
- Experience with parallelizing machine learning code
- Experience with machine learning development systems
- Proficiency with Docker
- Strong proficiency with Linux and Git
- Experience with cloud providers (AWS preferred)
- Experience of working in agile methodologies
Benefits For Senior Machine Learning Engineer
- 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
- Professional development opportunities
- Co-working passes
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