Senior ML Scientist: 3D Medical Imaging & Foundation Models

Qureight; Cambridge; Hybrid; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Annual bonus

Private medical insurance

Life insurance

Contributory pension

25 days annual leave

Enhanced maternity leave

Job summary

Qureight, headquartered in Cambridge and London, is scaling its AI-driven imaging platform to accelerate clinical trials.

We seek a Senior Machine Learning Scientist to develop state-of-the-art 3D medical imaging models, focusing on foundation-model pre-training, segmentation, classification, and biomarker extraction, collaborating with ML engineers and clinicians to deliver reproducible, clinically meaningful outputs.

Qualifications

• Experience in ML research with CV, foundation models, or 3D medical imaging.
• Strong theoretical understanding of ML incl. DL, linear algebra, statistics, optimisation.
• Proficient Python and PyTorch for training and inference.
• Experience with imaging models: segmentation, classification, regression or representation learning.
• Experience with self-supervised learning or large-scale model training.
• Production-quality Python code and modern workflows (git, PRs, code review).
• Excellent communication across ML, data science, clinical science and engineering teams.
• Proactive, self-sufficient and rigorous in task execution.

Responsibilities

• Research, develop, and evaluate state-of-the-art computer vision methods for volumetric CT data.
• Contribute to self-supervised pre-training of large foundation models for 3D vision.
• Train and specialise models for segmentation, classification and regression.
• Keep up to date with the latest ML research and contribute to internal reading groups.
• Contribute to high-impact conference, journal, and sponsor-facing outputs.
• Write high-quality Python and PyTorch code for training, inference and evaluation.
• Translate model outputs into biomarkers supporting clinical-trial endpoints and disease-characterisation workflows.
• Work with clinical and scientific stakeholders to ensure clinically meaningful objectives.
• Train large models across GPUs and compute nodes with ML Engineers to improve performance.
• Communicate progress clearly and identify risks early.

Skills

ML Research

Python

PyTorch

3D Medical Imaging

Self-Supervised Learning

Foundation Models

Linux

Git & Workflows

Tools

PyTorch

Job description

Qureight, headquartered in Cambridge and London, is scaling its AI-driven imaging platform to accelerate clinical trials.

We seek a Senior Machine Learning Scientist to develop state-of-the-art 3D medical imaging models, focusing on foundation-model pre-training, segmentation, classification, and biomarker extraction, collaborating with ML engineers and clinicians to deliver reproducible, clinically meaningful outputs.