AI/ML Engineer

Newel Health

AI/ML Engineer working at Newel Health on intelligent models that personalize digital therapies using real-world data. Collaborate with engineering to embed models into SaMD environments while ensuring compliance and standards.

Posted 6/29/2026full-timeRemote • 🇪🇺 Anywhere in EuropeMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing machine learning models for digital health applications, focusing on model explainability, reproducibility, and compliance with regulatory standards. Proficient in building scalable data pipelines and utilizing real-world health data for predictive analytics.

Highest-signal resume keywords

Machine Learning EngineeringDigital Health DatasetsTensorFlowPythonMLOps Pipelines

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData WranglingSignal ProcessingModel TrainingModel TestingModel DeploymentGenerative AIClinical ValidationBias MitigationPrivacy-Preserving ML

Tools & Technologies

TensorFlowPyTorchScikit-learn

Industry Keywords

SaMDHealth RisksExplainabilityReproducibilityRegulatory Standards

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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