AI/ML Engineer

AI/ML Engineer Location: Remote (Europe-based preferred) Type: Full-time Industry: Digital Health, SaMD, DTx Reports to: Head of Data Science Position Overview Newel Health is looking for an AI/ML Engineer to develop intelligent models that personalize digital therapies. You will work with real-world data from our SaMDs to design machine learning pipelines that predict health risks, optimize interventions, and enable adaptive care pathways on our H.Core platform. Key Responsibilities Design and train supervised and unsupervised learning models on longitudinal health data. Build scalable data pipelines for model training, testing, and deployment. Work closely with engineering to embed models into production SaMDs. Ensure models meet explainability, reproducibility, and regulatory standards. Evaluate generative AI tools for education and coaching applications. Required Qualifications 4+ years in ML/AI engineering, preferably with digital health datasets. Experience with TensorFlow, PyTorch, scikit-learn, and MLOps pipelines. Strong skills in Python, data wrangling, and real-world signal processing. Understanding of clinical validation, bias mitigation, and privacy-preserving ML. Why Join Newel Health Shape the next generation of digital health solutions. Work in a certified SaMD environment at the forefront of behavioral science and AI. Collaborate with leading partners in Pharma, MedTech, and academic research. Enjoy a remote-first culture, supported by cross-disciplinary teams passionate about patient outcomes. Be part of an organization building scalable, evidence-based impact in chronic care management.