Join us to help automotive innovators design cleaner cars and achieve greater sustainability through machine learning.

Who we are

We believe machine learning should be used to achieve greater sustainability in the world, that leads us all on a path to a brighter future.

Our mission is to help automotive innovators design cleaner cars and achieve greater sustainability through machine learning.

We're solving for this by bringing together experts in academia and business, applying machine learning research to build solutions that our customers use everyday to solve complex problems that ultimately contribute towards a better future for everyone.

The Secondmind team is a collaborative set of individuals spread across the globe, currently working in a hybrid, flexible working environment with our roots centred around our HQ in Cambridge, England.

As a company we’ve been on our own transformative journey to get where we are today and the opportunity ahead of us is immense and exciting. Today the team is focused on developing game-changing products and solutions for the automotive industry, a sector which is undergoing dramatic change from all angles, including a seismic shift towards software as a service, AI, simulation and virtualization of engineering processes and tools, many of which we are innately suited to solve via our people, technology and customers.

Joining the team at Secondmind at this stage of our journey is a fantastic opportunity to directly contribute to the real-world application of advanced machine learning and have a direct impact on the future health of our planet.

Current vacancies

Senior full stack engineer
United Kingdom
Senior machine learning engineer
United Kingdom
SVP of Engineering
United Kingdom
Senior software engineer
United Kingdom
Customer success programme manager
United Kingdom

Speculative interest

We’d like to hear from you. Even if there isn’t a role that looks right today. Send us your CV, tell us about yourself and we’ll be in touch if the right opportunity comes up.


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    How we do it
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