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 requiredNice 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 BrusselsOpportunity 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.