Deep Learning Researcher

Impax Recruitment
Manchester
1 week ago
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Job Title:

Deep Learning Engineer – Medical Imaging (Remote, Europe preferred)


Location:

Remote (Europe preferred), with occasional travel to the UK if needed


Salary:

£60,000–£95,000 GBP equivalent, depending on experience


About the Opportunity:

We’re supporting an ambitious clinical technology company who are building anext-generation AI platformfor3D imaginganddiagnostic surgery planning.


This is an opportunity to join thefirst waveof technical hires, working directly alongside a former AI leader from a global healthcare innovator. You'll help shape a platform focused ontransforming clinical outcomesthroughAI-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 optimisedeep 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 withmedical imaging(CT, CBCT, MRI, Ultrasound, X-Ray, etc.)
  • Solid understanding of 3D data, segmentation tasks, and landmark detection
  • Hands-on with frameworks likePyTorch,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 impactfulfrom 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 valuesintelligence,collaboration, andpurpose-driven innovation

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