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Deep Learning Engineer – Medical Imaging (Remote, Europe preferred)
Location:
Remote (Europe preferred), with occasional travel to the UK if needed
About the Opportunity:
We’re supporting an ambitious clinical technology company who are building a next-generation AI platform for 3D imaging and diagnostic surgery planning.
This is an opportunity to join the first wave of technical hires, working directly alongside a former AI leader from a global healthcare innovator. You'll help shape a platform focused on transforming clinical outcomes through AI-based imaging interpretation.
You’ll be joining at the ground floor — helping to design, build, and deploy deep learning models (not just apply pre-trained ones) for medical-grade use cases.
The Role:
You’ll work closely with AI researchers, software engineers, and clinicians to:
* Build, train, and optimise deep learning models (3D CNNs, segmentation models, landmark detection models, etc.)
* Work with CBCT, MRI, and other DICOM imaging modalities
* Contribute to research papers, validation studies, and clinical trials
* Optimise models for inference (using tools like TensorRT, mixed precision, quantisation)
* Help set up cloud or local GPU infrastructure for model development
* Collaborate with regulatory and clinical teams to ensure AI models are safe, interpretable, and production-ready
Ideal Background:
* Strong experience building Deep Learning models from scratch (not just fine-tuning)
* Experience with medical imaging (CT, CBCT, MRI, Ultrasound, X-Ray, etc.)
* Solid understanding of 3D data, segmentation tasks, and landmark detection
* Hands-on with frameworks like PyTorch, TensorFlow, MONAI, nnU-Net, etc.
* Experience with DICOM data handling
* Bonus points for any exposure to regulatory standards (ISO 13485, FDA SaMD) or experience in clinical AI validation
* MSc, PhD, or equivalent industry experience in AI, Computer Vision, or Biomedical Engineering
Why Join?
* Help build something impactful from the ground up
* Work with internationally recognised AI talent
* Real-world clinical use cases with meaningful patient outcomes
* Remote flexibility, strong autonomy, high ownership culture
* Be part of a company that values intelligence, collaboration, and purpose-driven innovation
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