Deep Learning Researcher (Manchester Area)

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 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