AI/ML Engineer

🕒 June 29

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 61%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Newel Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 $2.5M Grant - Newel Health on 2023-02

Healthcare • Consulting • Logistics

Newel Health is an AI-driven digital health company that develops regulatory-grade digital medical devices and software-as-a-medical-device (SaMD) in partnership with pharmaceutical and medtech companies. It co-develops evidence-based therapeutics, digital biomarkers, endpoints, and companion apps across cardiometabolic disease, neurological conditions (including Parkinson’s), and chronic pain, and acts as a legal manufacturer responsible for regulatory compliance (ISO 13485, MDR, FDA-aligned). Its H. Core platform integrates AI, behavioral science, and real-world data to build, scale, and deploy clinical-grade digital therapeutics and remote monitoring solutions for healthcare systems and pharma partners.

📋 Description

• Develop intelligent models that personalize digital therapies. • Work with real-world data from SaMDs to design machine learning pipelines that predict health risks. • 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.

🎯 Requirements

• 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.

🏖️ Benefits

• remote-first culture • Support from cross-disciplinary teams passionate about patient outcomes • Collaboration with leading partners in Pharma, MedTech, and academic research