National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

CoMind Technologies Limited.
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - £80,000 - Hybrid - London

Data Science Placement Programme

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 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 refine algorithms that extract meaningful metrics of brain function and autoregulation, improve signal quality through advanced denoising and demixing techniques, and validate signal fidelity in real-world use.

Responsibilities:

  • Conduct exploratory data analysis on complex time-series datasets generated from clinical trials, internal studies, and external research databases

  • Develop, prototype, and apply signal processing and machine learning models to interpret physiological signals such as cerebral blood flow, cerebral autoregulation

  • Design and validate algorithms for denoising, signal demixing, classification, and interpretation of neuromonitoring data

  • Collaborate with domain experts to translate clinical and physiological requirements into robust data analysis workflows

  • Write high-quality, well-tested Python code that meets industry standards for medical-grade software and supports FDA regulatory pathways

  • Produce clear and insightful white papers, documentation, and visualisations for both technical and non-technical stakeholders

  • Participate in internal research planning by gathering requirements, scoping work items, and contributing to roadmap discussions.

Skills & Experience:

  • Strong background in physiological signal analysis, ideally with experience in neurophysiology, cerebral hemodynamics, or related areas

  • Proficient in applying statistical modelling and machine learning techniques (e.g., time-series modelling, feature extraction, classification) to biological/medical datasets

  • >2 years of experience in a research or applied data science role, ideally involving cross-disciplinary collaboration with clinical or experimental teams

  • Fluent in Python and familiar with industry-standard tools for version control, data engineering, 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 in the context of wearable or medical devices

  • Strong understanding of physical principles associated with optical spectroscopy, interferometry, and related techniques

  • Familiarity with regulatory environments (e.g., FDA, CE-marked devices)

  • Exposure to optical sensor design, photon migration modelling, or neuroimaging.

Benefits:

  • Company equity plan

  • Company pension scheme

  • Private medical, dental and vision insurance

  • Group life assurance

  • Comprehensive mental health support and resources

  • Unlimited holiday allowance (+ bank holidays)

  • Weekly lunches

  • Breakfast and snacks provided.


#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.