ML Engineer (Series C Silicon Valley startup 70mil funding)

Robert Walters UK; London; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading company is seeking a Machine Learning Engineer to revolutionize healthcare through wearable technology. This role involves developing impactful solutions with a focus on time-series data, requiring strong skills in Python and familiarity with regulatory standards. Ideal candidates will have a solid background in signal processing and MLOps practices.

Qualifications

• 3–5+ years of experience applying machine learning to time-series or physiological data.
• Familiarity with FDA regulatory pathways for medical software.
• Experience with model versioning in compliant environments.

Responsibilities

• Develop impactful healthcare solutions using wearable data.
• Shape the future of digital health with regulatory-ready ML solutions.
• Apply machine learning to time-series or physiological data.

Skills

Machine Learning

Signal Processing

Time-Series Modelling

Python

MLOps

Education

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

Tools

PyTorch

TensorFlow

Job description

ML Engineer (Series C Silicon Valley startup 70mil funding)

Save job

Our client is revolutionising healthcare for millions of patients worldwide, combining over two decades of proprietary wearable technology with clinically relevant signals. They are seeking a Machine Learning Engineer with a passion for developing impactful healthcare solutions using wearable data. This high-impact role offers the opportunity to shape the future of digital health and bring clinically validated, regulatory-ready ML solutions to market.

The ideal candidate for this Machine Learning Engineer position brings a wealth of experience in applying machine learning to time-series or physiological data. With a strong foundation in signal processing and time-series modelling, you're proficient in Python and familiar with ML frameworks such as PyTorch or TensorFlow. Your understanding of FDA regulatory pathways for medical software will be crucial in this role. Experience with MLOps practices and model versioning in compliant environments will also be highly beneficial.

• 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 modelling.
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
• Familiarity with FDA regulatory pathways for medical software and standards like IEC 62304 or ISO 13485.
• Experience with MLOps practices and model versioning in compliant environments.

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates.

About the job

Contract Type: FULL_TIME

Workplace Type: Remote

Experience Level: Mid Management

Location: London

Contract Type: FULL_TIME

Specialism: Technology & Digital

Focus: Data Analysis & Business Intelligence

Industry: IT

Salary: Negotiable

Workplace Type: Remote

Experience Level: Mid Management

Location: London

FULL_TIME

Job Reference: 0JQ2U8-9AD32C83

Date posted: 22 May 2025

Consultant: Joshka Van Der Walt