About the Company - 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.

About the Role - The Data Science and ML team builds the algorithms that turn a novel optical brain signal into clinically meaningful outputs. The data comes from real ICU patients. The models will go into a regulated medical device used at the bedside. We are looking for someone with deep theoretical ML knowledge and a track record of getting models out of research and into production.

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 :

• Own the design, benchmarking, and validation of ML model architectures for physiological signal inference, identifying the right approaches for a genuinely novel time-series problem
• Lead end-to-end delivery of ML workstreams, owning strategy, execution, and risk from problem definition through to production
• Develop and maintain robust training pipelines, evaluation frameworks, and reproducible experiment workflows

Skills & Experience

• Deep theoretical knowledge of machine learning, including a strong grasp of the tradeoffs between model families across neural networks, tree-based methods, convolutional architectures, transformers, and state space models.
• A track record of getting ML models into production, not just research environments
• Strong Python skills and comfort with the full ML engineering stack, from experiment tracking and training pipelines through to inference and deployment
• Experience with time-series or sequential data, including the practical challenges of non-stationarity, distribution shift, and small or noisy datasets
• Experience developing ML models for one of the following: hardware products, wearables, embedded systems, or edge devices

Nice to have:

• Experience applying ML to physiological, biological, or sensor data
• Background in or strong familiarity with signal processing concepts: spectral analysis, filtering, noise characterisation
• Familiarity with regulated development environments (SaMD, IEC 62304, or equivalent)
• Publications, patents, or congress presentations in a relevant technical area

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