Senior Machine Learning Engineer
Role overview
As a Senior ML Engineer / Senior Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics, machine learning, and signal processing. Your focus will be on analysing multidimensional time-series datasets collected by our next-generation neural sensor in both clinical trial and in-house experimental settings.
You will play a key role in interpreting physiological and optical signals to derive actionable insights that inform product development and clinical decision-making. Working closely with clinicians, neurophysiologists, physicists, and engineers, you will help lead algorithm and ML model development to extract meaningful metrics of brain function, improve signal quality through advanced denoising and demixing techniques, and validate signal fidelity in real-world use.
At CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work-from-home day.
Responsibilities
- check_circle Lead the development and delivery of novel signal processing and machine learning models to interpret physiological signals, e.g. time series regression, classification and outliers detection
- check_circle Lead exploratory data analysis on complex time-series datasets generated from clinical trials, internal studies, and external research databases
- check_circle Design and validate algorithms for denoising, signal demixing, and interpretation of neuromonitoring data
- check_circle Write high-quality, well-tested Python code that meets industry standards.
- check_circle Collaborate with domain experts to translate clinical and physiological requirements into robust data analysis workflows
- check_circle Deliver signal processing methodologies ready for translation into medical device products
- check_circle Produce clear and insightful white papers, documentation, and visualisations for both technical and non-technical stakeholders
- check_circle Participate in research planning by gathering requirements, scoping work items, and contributing to roadmap discussions.
- check_circle Proven track record in applying machine learning / deep learning techniques for time-series, physiological signals or continuous sensor data
- check_circle >4 years of experience in a research or applied data science role, ideally involving cross-disciplinary collaboration with clinical or experimental teams
- check_circle A deep understanding of digital signal processing concepts such as sampling and quantisation, spectral analysis, etc
- check_circle Fluent in Python and expert in industry-standard tools for version control, data engineering, CI/CD and reproducible research workflows
- check_circle Comfortable working in a fast-paced, research-driven environment with a strong sense of ownership and a willingness to learn and experiment
- check_circle Excellent written and verbal communication skills for conveying complex results clearly to technical and non-technical stakeholders.
- check_circle Experience with signal analysis and pipeline design for time series data in the context of wearable or medical products
- check_circle Hands-on experience in software engineering
- check_circle Familiarity with regulated development processes (e.g. SaMD)
- check_circle Strong understanding of neurological and cardiovascular signals
- check_circle Strong background in biostatistics
- check_circle Strong understanding of the physical principles associated with optical spectroscopy, interferometry, and related techniques.
Benefits
- check_circle Company equity plan so all employees share in the success of the company
- check_circle Salary-sacrifice pension scheme
- check_circle Private medical, dental and vision insurance (medical history disregarded)
- check_circle Group life assurance at 4x annual income
- check_circle Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals
- check_circle Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter
- check_circle Free lunch twice per week via JustEat and free dinner on those days where you need to work later
- check_circle Twice weekly deliveries of fresh fruit and a comprehensive selection of snacks and drinks
- check_circle YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores
- check_circle Access to Udemy for upskilling and professional development