Enable job alerts via email!

Machine Learning Engineer – Wearable Health Algorithms

all.health

London

On-site

GBP 60,000 - 100,000

Full time

14 days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

An innovative firm at the forefront of healthcare technology seeks a Machine Learning Engineer passionate about developing impactful solutions using wearable data. In this pivotal role, you will design and implement real-time algorithms that analyze continuous physiological signals, contributing to the future of digital health. Your expertise will help create clinically validated, regulatory-ready ML solutions, making a significant difference in patient care. Join a team dedicated to revolutionizing healthcare and empowering patients through cutting-edge technology, while enjoying a collaborative and supportive work environment.

Qualifications

3–5+ years of experience applying machine learning to time-series or physiological data.
Familiarity with FDA regulatory pathways for medical software.

Responsibilities

Design and implement machine learning models for real-time analysis of wearable biosignal data.
Collaborate with clinical, product, and regulatory teams to ensure solutions align with FDA requirements.

Skills

Machine Learning

Signal Processing

Python

Time-Series Analysis

Deep Learning

MLOps

Education

MS or PhD in Machine Learning, Biomedical Engineering, Computer Science

Tools

PyTorch

TensorFlow

Machine Learning Engineer – Wearable Health Algorithms

Join to apply for the Machine Learning Engineer – Wearable Health Algorithms role at all.health

Machine Learning Engineer – Wearable Health Algorithms

1 week ago Be among the first 25 applicants

Join to apply for the Machine Learning Engineer – Wearable Health Algorithms role at all.health

all.health is at the forefront of revolutionizing healthcare for millions of patients worldwide. Combining more than 20 years of proprietary wearable technology with clinically relevant signals, all.health connects patients and physicians like never before with continuous, data-driven dialogue. This unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer.

Job Summary

We’re looking for a Machine Learning Engineer with a passion for developing impactful healthcare solutions using wearable data. You’ll play a key role in building real-time, FDA-compliant algorithms that analyze continuous physiological signals from wearables. This is a high-impact role with the opportunity to shape the future of digital health and help bring clinically validated, regulatory-ready ML solutions to market
The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Responsibilities

Design and implement machine learning models for real-time analysis of wearable biosignal data (e.g., ECG, PPG, accelerometer)
Develop algorithms that meet clinical-grade performance standards for use in regulated environments
Preprocess and manage large-scale, continuous time-series datasets from wearable sensors.Collaborate with clinical, product, and regulatory teams to ensure solutions align with FDA, SaMD, and GMLP requirements.Optimize algorithms for deployment on resource-constrained devices (e.g., edge, mobile, embedded systems)
Run thorough validation experiments including performance metrics like sensitivity, specificity, ROC-AUC, and precision-recall
Contribute to technical documentation and regulatory submissions for medical-grade software

Requirements/Qualifications:

MS or PhD in Machine Learning, Biomedical Engineering, Computer Science, or a related field
3–5+ years of experience applying machine learning to time-series or physiological data
Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection)
Proficient in Python and ML frameworks such as PyTorch or TensorFlow
Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De Novo), and standards like IEC 62304 or ISO 13485
Experience with MLOps practices and model versioning in compliant environments

Preferred Qualifications:

Experience building ML models with wearable data (e.g., continuous heart rate, motion, respiration)
Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX)
Knowledge of healthcare data privacy and security (e.g., HIPAA, GDPR)
Familiarity with GMLP (Good Machine Learning Practice) and clinical evaluation frameworks

Seniority level

Seniority level
Not Applicable

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Wellness and Fitness Services

Referrals increase your chances of interviewing at all.health by 2x

Get notified about new Machine Learning Engineer jobs in London, England, United Kingdom.

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 days ago