Machine Learning Engineer

develop; Baden-Württemberg; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

develop, a medical technology company in Baden-Württemberg, is seeking a Machine Learning Engineer to advance next-generation computer vision and medical image analysis technologies. You will work in an international team to develop, validate and deploy AI-powered solutions for clinical decision-making.

Responsibilities include building ML models, pipelines, and tools, collaborating on data collection and model evaluation, and ensuring compliance with medical device standards while enabling

Qualifications

• Degree in Computer Science, Engineering, Mathematics, Physics, Biomedical Engineering, or a related field.
• Commercial experience in machine learning with a strong focus on computer vision.
• Experience with PyTorch or TensorFlow.
• Knowledge of ROC/AUC, precision, recall, sensitivity, and specificity.
• Experience with large datasets and GPU-based training environments.
• Medical imaging, digital pathology, histology, or microscopy.
• ISO 13485, IEC 62304, or related quality standards.
• Cloud platforms and modern software infrastructure.

Responsibilities

• Develop and optimise ML and deep learning models for medical image analysis.
• Train, validate, and evaluate computer vision models using large-scale image datasets.
• Build and maintain data pipelines, image processing tools, and software components.
• Collaborate with clinical and engineering teams on data collection, annotation, and model performance assessment.
• Support deployment of AI models into software products and GPU-based environments.
• Contribute to testing, validation, and technical documentation in line with medical device development standards.

Skills

Machine learning

Deep learning

Computer vision

Education

Degree in Computer Science or related field

Tools

PyTorch

TensorFlow

CUDA

Job description

My client is an innovative medical technology company developing advanced imaging and AI solutions for healthcare diagnostics. As part of a major R&D programme, they are seeking a Machine Learning Engineer to help develop next-generation computer vision and medical image analysis technologies.

Working within a multidisciplinary international team, you will contribute to the development, validation, and deployment of AI-powered solutions that support clinical decision-making and medical imaging workflows.

Key Responsibilities

• Develop and optimise machine learning and deep learning models for medical image analysis.
• Train, validate, and evaluate computer vision models using large-scale image datasets.
• Build and maintain data pipelines, image processing tools, and software components.
• Collaborate with clinical and engineering teams on data collection, annotation, and model performance assessment.
• Support deployment of AI models into software products and GPU-based environments.
• Contribute to testing, validation, and technical documentation in line with medical device development standards.

Requirements

• Degree in Computer Science, Engineering, Mathematics, Physics, Biomedical Engineering, or a related field.
• Commercial experience in machine learning, with a strong focus on computer vision.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Knowledge of model evaluation metrics including ROC/AUC, precision, recall, sensitivity, and specificity.
• Experience working with large datasets and GPU-based training environments.
• Medical imaging, digital pathology, histology, or microscopy.
• ISO 13485, IEC 62304, or related quality standards.
• Cloud platforms and modern software infrastructure.

Location

Based in Baden-Württemberg, Germany, with flexible remote working available within the region. Occasional international travel may be required.