Machine Learning Engineer - Signal Processing[Urgent]

Machine Learning Engineer - Signal Processing Ourclient is revolutionising healthcare for millions of patientsworldwide, combining over two decades of proprietary wearabletechnology with clinically relevant signals. They are seeking aMachine Learning Engineer with a passion for developing impactfulhealthcare solutions using wearable data. This high-impact roleoffers the opportunity to shape the future of digital health andbring clinically validated, regulatory-ready ML solutions tomarket. The ideal candidate for this Machine Learning Engineerposition brings a wealth of experience in applying machine learningto time-series or physiological data. With a strong foundation insignal processing and time-series modelling, you're proficient inPython and familiar with ML frameworks such as PyTorch orTensorFlow. Your understanding of FDA regulatory pathways formedical software will be crucial in this role. Experience withMLOps practices and model versioning in compliant environments willalso be highly beneficial. Minimum Requirements: - MS or PhD inMachine Learning, Biomedical Engineering, Computer Science, or arelated field. - 3–5+ years of experience applying machine learningto time-series or physiological data. - Strong foundation in signalprocessing and time-series modelling. - Proficiency in Python andML frameworks such as PyTorch or TensorFlow. - Familiarity with FDAregulatory pathways for medical software and standards like IEC62304 or ISO 13485. - Experience with MLOps practices and modelversioning in compliant environments. About the Job: Contract Type:Permanent #J-18808-Ljbffr