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 medical imaging applications.
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 one of the world's most exciting cities, making a real difference in healthcare.
The position offers a blend of technical challenges and healthcare impact, with responsibilities ranging from model optimization to performance tracking. You'll need strong Python skills, experience with ML frameworks, and cloud computing knowledge. The company provides an excellent benefits package including flexible working, private healthcare, and equity options.
This is an ideal opportunity for a senior engineer passionate about applying ML to healthcare, wanting to work in an innovative startup environment with real-world impact. The role combines technical excellence with healthcare innovation, offering both professional growth and the chance to improve patient care through technology.
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
- 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 operating systems and Git
- Experience with cloud providers (AWS preferred)
- Experience of working in a team using 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
- Academic collaborations
- Co-working passes
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