R&D Project Manager - Machine Learning - Cambridge

Cambridge
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Implementation Consultant

HUB Labeling Manager

Regulatory Affairs Manager

Programme Manager

Associate Director, Regulatory Affairs

Associate R&D Director

R&D Project Manager - Machine Learning - Cambridge

Are you an experienced engineer who is looking for a new role within a fun, fast-paced commercial environment? A small, tight knit team in rural Cambridgeshire are looking for passionate machine learning specialists to join their award-winning team of engineers and programmers.

This exciting new role will give the Project Manager an excellent opportunity to work on some really exciting and cutting edge products within the machine learning field. As this is a relatively small team you will need to take a hands-on approach and lead a team of fellow scientists and engineers. This will give you the opportunity to thrive within one of the fastest growing sectors within technology.

On a day to day basis you will use your skills and expertise to develop and test new technologies around optimisation, pattern recognition and forecasting to improve efficiency of energy solutions and distribution.

To be considered for this exciting role you will need to have a degree in Computer Science, Electronics or relevant field as well as experience with either machine learning or deep learning. You will also need to have a genuine passion for this sector and a relevant PhD and post-doc experience would be highly advantageous.

In exchange for your skills and expertise, the company offer a highly competitive package as well as providing excellent career progression. The company also offer excellent training to further develop your skills.

For more information, please call Matthew Lowdon of Newton Colmore Consulting on (phone number removed) or make an application and one of our team will be in touch.

Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices, Scientific Engineering, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Engineering sectors throughout Europe and the US.

Key words: Computer Science, Software Engineer, Electronics, Computer Vision, Deep Learning, Machine Learning, Image Processing, Cambridge

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 Write a Medical Technology Job Ad That Attracts the Right People

Medical technology sits at the intersection of healthcare, engineering, regulation and innovation. From diagnostics and imaging to digital health, robotics, wearables and regulated medical devices, medical technology roles require a rare combination of technical skill, regulatory awareness and patient-centred thinking. Yet many employers struggle to attract the right candidates. Medical technology job adverts often generate either too few applications or the wrong type of applicants — candidates who are technically strong but unfamiliar with regulated environments, or healthcare professionals without the required engineering or product experience. In most cases, the problem is not a shortage of talent — it is the clarity and quality of the job advert. Medical technology professionals are detail-oriented, risk-aware and selective. A vague or generic job ad signals poor regulatory understanding and weak product maturity. A clear, well-written one signals credibility, safety and long-term intent. This guide explains how to write a medical technology job ad that attracts the right people, improves applicant quality and positions your organisation as a serious medtech employer.

Maths for Medical Technology Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for medical technology jobs in the UK it can feel like you need “serious maths” to get hired. In reality most MedTech roles do not require advanced pure maths. What they do require is confidence with a small set of practical topics that come up repeatedly across: medical device R&D & product development verification, validation & test engineering clinical evidence, usability & human factors support quality, regulatory, risk management & post market work software as a medical device (SaMD) & connected devices imaging, sensing, signal processing & on device algorithms This guide focuses on the maths you will actually use in common UK roles like Medical Device Engineer, Verification & Validation Engineer, Test Engineer, Quality Engineer, Regulatory Associate with technical scope, Software Engineer in MedTech, Systems Engineer, Clinical Data Analyst, Biostatistics adjacent roles, Biomedical Engineer, Imaging Engineer. You will learn: measurement uncertainty & stats for testing probability & risk thinking for hazard analysis basic modelling & curve fitting (the workhorse skill) signal basics for sensors & wearables linear algebra essentials for imaging & ML enabled devices optimisation thinking for thresholds, trade offs & performance You will also get a 6 week plan, portfolio projects & a resources section.

Neurodiversity in Medical Technology Careers: Turning Different Thinking into a Superpower

Medical technology sits at the intersection of health, engineering & innovation. From imaging & diagnostics to digital health apps, wearables & surgical robotics, medtech is about solving complex real-world problems that directly affect patients’ lives. To do that well, the sector needs people who think differently. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a regulated, safety-critical industry. In reality, many traits that made school or previous jobs difficult can be huge strengths in medical technology – from pattern-spotting in clinical data to meticulous attention to detail in device testing. This guide is for neurodivergent job seekers exploring medical technology careers in the UK. We’ll cover: What neurodiversity means in a medtech context How ADHD, autism & dyslexia strengths map to common medtech roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in medical technology – & how to turn “different thinking” into a genuine superpower.