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Yoti is seeking a researcher to work on projects in Computer Vision, Machine Learning and Deep Learning. The role will focus on large-scale classification tasks such as face recognition, verification and anti-spoofing, exploring new architectures and loss functions within the R&D team.
This is a hybrid role with at least one day per week in the Aldgate office. The successful candidate will contribute to cutting-edge research and collaborate with policy advisors and researchers across the
Born in 2014, Yoti is a digital identity and biometric technology company that makes it safer for people to prove who they are. The Yoti app was designed with privacy at its core, giving people a secure way to prove their identity and share third‑party credentials with organisations and other people.
Today, we have over twenty million app downloads around the world. We’ve expanded our offering to a suite of business solutions that span identity verification, age verification and estimation, e‑signing, AI anti‑spoofing technologies and we continue to think of innovative new offerings.
From day one, we’ve been working to fix an outdated identity system. This is not a journey we make on our own but with policy advisors, think tanks, researchers, academics, humanitarian bodies, our users and everyday people. We are committed to solving identity problems through grassroots research and social purpose initiatives.
Our dedication to our mission and our team is why Yoti was proudly named one of the Sunday Times Best Places to Work 2026.
To work on projects in the fields of Computer Vision, Machine Learning and Deep Learning
Reports to Head of R&D / CTO; within R&D team.
This will be a hybrid role and you will be expected to work from our Aldgate office at least 1 day a week.