Senior Machine Learning Engineer

IC Resources; Cambridge; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A Cambridge-based medical technology start-up is seeking a Senior Machine Learning Engineer to develop AI solutions for cancer detection. This role involves leading R&D projects, collaborating with clinical teams, and using Python with ML frameworks to drive innovation in medical imaging.

Qualifications

• 3+ years’ experience in machine learning, especially in image processing.
• Experience with medical image processing and deploying ML models.

Responsibilities

• Lead R&D projects from concept to production software.
• Develop and train models for image segmentation and feature extraction.

Skills

Machine Learning

Deep Learning

Python

Image Processing

Git

Linux

Education

Master’s degree in a STEM field

PhD in Machine Learning/AI

Tools

PyTorch

TensorFlow

DICOM

MLFlow

Kubernetes

Docker

Job description

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Building technology teams across High-Performance Computing and Performance Modelling

Senior Machine Learning Engineer (Medical AI) – Cambridge/Remote

Are you passionate about using AI to transform healthcare? An innovative, Cambridge-based medical technology start-up is seeking a Senior Machine Learning Engineer to join their growing team. This is a unique opportunity to work at the intersection of cutting-edge machine learning, medical imaging, and real-world clinical impact.

About the Company

Our client develops advanced software to detect cancer using AI and MRI, aiming to make cancer screening more accurate, accessible, and cost-effective. With deep ties to the Cambridge research community, they are building a collaborative team of experts in AI, user interfaces, and medical imaging.

The Role

As a Senior Machine Learning Engineer, you will lead research and development projects from initial concept through to integration into production software. You will work extensively with Python and AI frameworks such as PyTorch and TensorFlow to develop and train models for image segmentation, feature extraction, registration, and lesion identification within cloud environments. Your role will also involve supporting clinical studies and regulatory submissions, preparing technical publications, and contributing to conference papers. Collaboration is key, as you will work closely with clinical, engineering, and business teams to ensure that AI solutions meet stringent medical requirements. Additionally, you will drive innovation on the company’s flagship product, with opportunities to propose new R&D projects and explore additional therapeutic areas.

What's required for this Senior Machine Learning Software Engineer position?

Required:

• Master’s degree or PhD in a STEM field (preferably Machine Learning/AI, Data Science, or Computer Science) or equivalent experience.
• 3+ years’ hands-on experience in machine learning or deep learning, including at least 2 years in image processing (ideally medical imaging).
• Proficiency in Python and ML/DL frameworks (PyTorch or TensorFlow).
• Strong theoretical and practical understanding of ML/DL techniques, demonstrated by academic or professional projects.
• Experience with Git, Linux, and command-line tools.
• Experience with medical image processing, DICOM, ITK/SimpleITK.
• Familiarity with deploying ML models or MLOps tools (MLFlow, Kubernetes, DVC, Docker).
• Understanding of the software development lifecycle.
• Clinical research or commercial experience in regulated/healthcare domains.

If you're interested in this or other software opportunities across the UK, please contact Jack Bird at IC Resources. [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Staffing and Recruiting

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