This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Engineer based in Spain.
This is an opportunity to develop AI and machine learning solutions that support the personalization of digital therapies and improve patient outcomes.
You’ll work with longitudinal real-world health data to build models that can predict risks and enable more adaptive approaches to care.
The role spans the full ML lifecycle, from data pipelines and model development through validation, deployment, and production integration.
You’ll collaborate closely with engineering and multidisciplinary teams to translate advanced models into reliable digital health products.
A strong focus on explainability, reproducibility, privacy, and regulatory requirements makes this a technically rigorous environment.
You’ll also have the opportunity to explore generative AI applications for patient education and digital coaching.




This is a high-impact role for an experienced ML professional who wants to apply AI to meaningful healthcare challenges.
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Accountabilities:
Design, develop, train, and evaluate supervised and unsupervised machine learning models using longitudinal and real-world health data.
Build scalable and reliable data pipelines supporting model training, testing, validation, and deployment.
Develop machine learning solutions capable of identifying health risks, supporting personalized interventions, and enabling adaptive care pathways.
Work closely with software and engineering teams to integrate ML models into production Software as a Medical Device (SaMD) and digital therapeutic solutions.
Establish robust processes for model reproducibility, monitoring, evaluation, and performance optimization.
Ensure models and ML workflows meet relevant requirements around explainability, reliability, privacy, and regulatory compliance.
Apply appropriate techniques for real-world signal processing, data preparation, feature

📌 AI/ML Engineer (España)
🏢 Jobgether
📍 España