Remote ML Engineer-American Series C Wearable Medical Device

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