Machine Learning Engineer

The Role

We’re partnering with an innovative HealthTech company building intelligent AI-driven solutions that improve healthcare delivery, operational efficiency, and patient outcomes. They are looking for a Machine Learning Engineer to develop and deploy scalable ML solutions.

What You’ll Be Doing

• Design, develop, and deploy machine learning models for healthcare applications including predictive analytics, anomaly detection, medical imaging, patient risk modelling, and intelligent automation
• Build scalable ML pipelines supporting model training, validation, monitoring, and real-time inference in clinical and healthcare environments
• Develop robust preprocessing and feature engineering workflows for healthcare, patient, and IoT/wearable device data
• Collaborate with software engineers, data teams, product specialists, and healthcare stakeholders to integrate ML solutions into production platforms
• Contribute to AI-powered perception and analytics systems using technologies such as medical imaging, sensor data, and real-time monitoring devices

What They’re Looking For

• 2–6+ years of experience as a Machine Learning Engineer or related roles
• Strong Python programming skills
• Experience with ML/DL frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Proven experience building and deploying ML pipelines in production environments
• Exposure to healthcare, medical data, wearable technology, or regulated environments is highly advantageous
• Familiarity with data engineering concepts including ETL/ELT workflows, streaming pipelines, and sensor or patient data processing
• Experience working with cloud platforms such as AWS, Azure, or GCP

What’s on Offer

• Hybrid working environment with offices based in Ghent
• Opportunity to work on innovative HealthTech products with meaningful real-world impact
• Strong focus on technical growth, experimentation, and applied AI research
• Competitive salary package up to €6,000/month depending on experience
• Company car or mobility package included
• 13+ additional ADV days
• Clear progression opportunities into senior or lead-level positions