Machine Learning Engineer

(Medical R&D Sector – Confidential Client)

About the role

On behalf of one of our clients — a leading innovator in the medical research and development sector (Software and ML integrated Product)— we are recruiting for two open positions within the same dynamic R&D team:

• Senior Machine Learning Engineer
• Medior Machine Learning Engineer

This company is dedicated to improving healthcare outcomes through advanced statistical analysis and machine learning innovation. The ideal candidates will have a strong technical foundation, a passion for scientific research, and a deep interest in applying AI to solve meaningful real-world challenges in the healthcare domain.

Responsibilities

• Research, design, and implement new machine learning models to enhance clinical data quality and support healthcare decision-making.
• Continuously analyze scientific literature to identify promising algorithms and evaluate their practical application.
• Produce robust, efficient Python code aligned with best software development practices.
• Leverage open-source libraries and frameworks to drive experimentation and model optimization.
• Apply best practices for experiment tracking, model validation, and deployment.
• Explore new areas for machine learning applications in the medical and clinical research domain.
• Actively contribute to scientific visibility through conferences, workshops, and potential publications.
• Collaborate closely with data engineers, domain experts, and statisticians to bring prototypes into production.

Profile Sought

• Master’s or PhD in Computer Science, Mathematics, Physics, Engineering, or other quantitative fields.
• Solid professional experience in machine learning, data science, or applied AI roles.
• Excellent command of Python.
• Practical experience with at least one deep learning framework (e.g., TensorFlow, PyTorch).
• Comfortable with Git and collaborative development workflows.
• Proven ability to translate theoretical research into operational AI solutions.
• Language requirements: Fluent English is sufficient; no other languages are required

Nice to Have

• Experience with deep learning and natural language processing (NLP).
• Practical experience with deployment and monitoring of machine learning models.
• Previous exposure to medical data or work in highly regulated industries (healthcare, life sciences, etc.).
• Knowledge of GPU computing environments.

Offer

• Two open roles: one Senior and one Medior Machine Learning Engineer.
• Remote-first working model: nearly fully remote; only 1 day/week minimum presence on-site South Brussels
• Opportunity to work on scientifically impactful projects with real-world healthcare applications.
• Competitive salary package including bonuses, mobility benefits, healthcare insurance, and more.
• Dynamic, multicultural team environment focused on research excellence, technical innovation, and personal development.
• Access to powerful computing infrastructure, learning materials, and career growth opportunities.