Senior Machine Learning Engineer

Cambridge-based data analytics company with a cloud platform for analyzing CT scans, blood biomarkers, and clinical results for lung and heart conditions.
Machine Learning
Senior Software Engineer
Hybrid
11 - 50 Employees
2+ years of experience
Healthcare · AI
This job posting may no longer be active. You may be interested in these related jobs instead:
Senior Software Engineer - Windows AI Agent

Senior Software Engineer position at Microsoft focusing on Windows AI Agent development, specializing in scalable model infrastructure and cloud-based AI workflows.

Machine Learning Engineer

Senior Machine Learning Engineer role at Adobe, developing innovative ML models and deploying AI solutions for the Digital Experience platform. Salary range: $120,700-$228,600.

Senior MLOps / AIOps Engineer

Senior MLOps/AIOps Engineer position at Oracle in Casablanca, focusing on ML model deployment, CI/CD pipelines, and production infrastructure for enterprise AI systems.

Senior Machine Learning Engineer, Trust & Safety

Senior Machine Learning Engineer position at Hinge focusing on Trust & Safety, developing AI solutions for content moderation and user safety.

Senior Machine Learning Engineer, Personalization

Senior Machine Learning Engineer position at Spotify, focusing on building personalized recommendation systems for the Now Playing View team, offering competitive salary and remote work flexibility.

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.

Last updated 3 months ago

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

Python
Linux
  • 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

Medical Insurance
Dental Insurance
Vision Insurance
Equity
401k
  • 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

Interested in this job?