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Remote ML Engineer-American Series C Wearable Medical Device

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About the Company: * American Series C HealthTech start up in revenue stage * $200m funding (recent funding is Feb 2025). * Fully remote within the UK Role: Seeking a ML Engineer to develop real-time, regulatory-compliant ML algorithms analysing continuous wearable biosignals (ECG, PPG, accelerometer) for validated digital health solutions.

Key Responsibilities

  • Design and implement ML models for real-time wearable biosignal analysis.

  • Develop algorithms meeting clinical-grade standards in regulated environments.

  • Reprocess and manage large-scale continuous time-series data.

  • Collaborate with clinical, product, and regulatory teams to ensure compliance with medical device regulations and GMLP.

  • Optimise algorithms for edge, mobile, and embedded deployment.

  • Validate models using sensitivity, specificity, ROC-AUC, and precision-recall metrics.

  • Support technical documentation and regulatory submissions.

Qualifications

  • MS or PhD in Machine Learning, Biomedical Engineering, Computer Science, or related field.

  • 3–5+ years’ experience with ML on time-series or physiological data.

  • Expertise in signal processing and time-series modelling (deep learning, classical ML, anomaly detection).

  • Proficient in Python and ML frameworks like PyTorch or TensorFlow.

  • Familiarity with FDA regulatory pathways (510(k), De Novo) and standards (IEC 62304, ISO 13485).

  • Experience with MLOps and model visioning in regulated settings.

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

Contract Type: FULL_TIME

Specialism: Technology & Digital

Focus: Data Science & AI Research

Industry: Medical and Nursing

Salary: £90,000 - £120,000 per annum

Workplace Type: Remote

Experience Level: Mid Management

Location: England

Job Reference: JABYTN-343AB529

Date posted: 10 June 2025

Consultant: Karen Cordner