Machine Learning Engineer

Metrology and Quality Assurance for Additive Manufacturing


Taraz are an exciting startup working with Digital Manufacturing – partnering with world leaders in 3D printing to control their processes and bring quality to their products. We combine optical metrology with AI, machine vision and machine learning to build systems at the cutting edge of Industry 4.0.

We now seek engineers with experience in machine learning – designing, optimising and implementing ML networks, working as part of a world-leading team. You’ll be an integral part of a team spanning hardware, algorithms, optics and high-performance computing to deliver the data needed to deliver the next step in 3D printing capability.

Our ideal candidate would have experience in areas such as TensorFlow, deep learning, CNNs, Python and PyTorch, C++, C#, machine vision and metrology – but realistically, if you have all of those, you are probably already part of our team! We’re happy to provide training and support – what matters more is having a real can-do attitude, an ambition to take on big challenges and make a real difference in this fast-growing sector.

This is not a typical software back-office role – it can be if you want it to be, but for those who like to see what their software does, there is an opportunity to work with customers – integrating our products into some of the world’s most sophisticated manufacturing lines.

We are a young company, growing fast, so this is an opportunity to get in at the grass roots, and to contribute. As a small team, we can guarantee your voice will be heard!

If this sounds exciting, please contact us through our recruitment partners at Indeed. We are an equal opportunities employer and assess applications solely on a candidate’s merit.

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