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AI/ML Engineer

Role overview

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.

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.

About the company

Newel Health logo

Newel Health

𝗡𝗲𝘄𝗲𝗹 𝗛𝗲𝗮𝗹𝘁𝗵 develops digital medical devices that make treatment go further. For people living with 𝗰𝗵𝗿𝗼𝗻𝗶𝗰 𝗱𝗶𝘀𝗲𝗮𝘀𝗲, treatment does not end with a prescription, a pill, or a clinical appointment. The real work happens every day: between doses, between visits, and in the moments where patients are often managing alone. We design, develop, and manufacture 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗮𝘀 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗗𝗲𝘃𝗶𝗰𝗲𝘀 that extend care into everyday life. Our solutions combine 𝗮𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿𝗮𝗹 𝘀𝗰𝗶𝗲𝗻𝗰𝗲, 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗲𝘃𝗶𝗱𝗲𝗻𝗰𝗲, 𝗮𝗻𝗱 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗱𝗮𝘁𝗮 to support patients continuously and help healthcare partners deliver care that is more personal, measurable, and scalable. Newel Health focuses on chronic conditions where regulated digital medicine can create lasting value, including cardiometabolic disease, Parkinson’s disease, and chronic pain. Our portfolio includes solutions for hypertension, chronic musculoskeletal pain, and Parkinson’s disease. As a SaMD legal manufacturer, we partner with pharmaceutical companies, medtech organisations, and healthcare systems to license products, co-develop companion solutions, build digital endpoints, and create patient support programs with regulatory accountability from concept to market. 𝗕𝗲𝘆𝗼𝗻𝗱 𝘁𝗵𝗲 𝗽𝗶𝗹𝗹. 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗱𝗲𝘃𝗶𝗰𝗲𝘀 𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗯𝘆 𝗔𝗜.

Company details

Company size51 - 200

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Job description

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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