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Selected role

Senior Machine Learning Engineer

comind London, ENG, GB

Senior Full-time

At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world.

The Role:

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:

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
Lead exploratory data analysis on complex time-series datasets generated from clinical trials, internal studies, and external research databases
Design and validate algorithms for denoising, signal demixing, and interpretation of neuromonitoring data
Write high-quality, well-tested Python code that meets industry standards.
Collaborate with domain experts to translate clinical and physiological requirements into robust data analysis workflows
Deliver signal processing methodologies ready for translation into medical device products
Produce clear and insightful white papers, documentation, and visualisations for both technical and non-technical stakeholders
Participate in research planning by gathering requirements, scoping work items, and contributing to roadmap discussions.

Skills & Experience:

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.

Nice to Have

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.

Benefits:

Company equity plan so all employees share in the success of the company
Salary-sacrifice pension scheme
Private medical, dental and vision insurance (medical history disregarded)
Group life assurance at 4x annual income
Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals
Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter
Free lunch twice per week via JustEat and free dinner on those days where you need to work later
Twice weekly deliveries of fresh fruit and a comprehensive selection of snacks and drinks
YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores
Access to Udemy for upskilling and professional development

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