Job Title: Deep Learning Engineer – Medical Imaging (Remote, Europe preferred)Location: Remote (Europe preferred), with occasional travel to the UK if neededSalary: £60,000–£95,000 GBP equivalent, depending on experienceAbout 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 modalitiesContribute to research papers, validation studies, and clinical trialsOptimise models for inference (using tools like TensorRT, mixed precision, quantisation)Help set up cloud or local GPU infrastructure for model developmentCollaborate with regulatory and clinical teams to ensure AI models are safe, interpretable, and production-readyIdeal 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 detectionHands-on with frameworks like PyTorch, TensorFlow, MONAI, nnU-Net, etc.Experience with DICOM data handlingBonus points for any exposure to regulatory standards (ISO 13485, FDA SaMD) or experience in clinical AI validationMSc, PhD, or equivalent industry experience in AI, Computer Vision, or Biomedical EngineeringWhy Join?Help build something impactful from the ground upWork with internationally recognised AI talentReal-world clinical use cases with meaningful patient outcomesRemote flexibility, strong autonomy, high ownership cultureBe part of a company that values intelligence, collaboration, and purpose-driven innovation