Senior Machine Learning Engineer

• Proven track record in applying machine learning / deep learning techniques for time-series, physiological signals or continuous sensor data • >4 years of experience in a research or applied data science role, ideally involving cross-disciplinary collaboration with clinical or experimental teams • A deep understanding of digital signal processing concepts such as sampling and quantisation, spectral analysis, etc • Fluent in Python and expert in industry-standard tools for version control, data engineering, CI/CD and reproducible research workflows • Comfortable working in a fast-paced, research-driven environment with a strong sense of ownership and a willingness to learn and experiment • Excellent written and verbal communication skills for conveying complex results clearly to technical and non-technical stakeholders. • Experience with signal analysis and pipeline design for time series data in the context of wearable or medical products • Hands-on experience in software engineering • Familiarity with regulated development processes (e.g. SaMD) • Strong understanding of neurological and cardiovascular signals • Strong background in biostatistics • Strong understanding of the physical principles associated with optical spectroscopy, interferometry, and related techniques.