Senior ML Engineer, Medical Imaging AI — Healthcare Impact

trtwo; Roma; Hybrid; EUR 60,000 - 80,000; Full time

Job summary

trtwo is seeking a Machine Learning Engineer specialized in medical imaging to develop and deploy deep learning models for radiology and pathology applications with rapid, reliable performance.

You will work with a multidisciplinary team of doctors, data scientists and engineers to bring AI from research to clinical practice, build data pipelines for DICOM preprocessing, and ensure MDR/AI Act compliance. Equity may be offered.

Qualifications

• MSc or PhD in Computer Science, Biomedical Engineering or related field.
• 3+ years with deep learning frameworks (PyTorch preferred).
• Strong experience with CNNs, U‑Net, Vision Transformers for medical imaging.
• Experience with medical imaging data (DICOM, NIfTI).
• Python proficiency and familiarity with MLOps tools.

Responsibilities

• Develop and train deep learning models for medical image classification and segmentation.
• Build data pipelines for DICOM image preprocessing and augmentation.
• Collaborate with radiologists for model validation and clinical testing.
• Deploy models via containerised inference services with sub-second latency.
• Stay current with latest research in medical AI and computer vision.
• Ensure compliance with MDR and AI Act requirements for medical devices.

Skills

Deep learning for medical imaging

CNNs/U‑Net/ViTs

Python

MLOps

Medical imaging analysis

Education

MSc or PhD in Computer Science or Biomedical Engineering

Tools

PyTorch

TensorFlow

Job description

trtwo is seeking a Machine Learning Engineer specialized in medical imaging to develop and deploy deep learning models for radiology and pathology applications with rapid, reliable performance.

You will work with a multidisciplinary team of doctors, data scientists and engineers to bring AI from research to clinical practice, build data pipelines for DICOM preprocessing, and ensure MDR/AI Act compliance. Equity may be offered.