Machine Learning Engineer (Intern)

London, England, United Kingdom · Research


Onfido uses machine learning to help over 1,500 companies verify the identity of their users online.

Founded in 2012, we've received over $60m in funding from world-class technology investors including Salesforce and Microsoft. As a team of 180 with offices in 5 countries, we work with global customers including BBVA, Square and LendingKart.

Our technology verifies the authenticity of a user’s identity document and compares it with their facial biometrics. As a global innovator in the Computer Vision space, our AI learns to identity fraud as it evolves over time, enabling our clients to rapidly onboard more users while protecting themselves against fraudulent activity. Our goal is to apply cutting-edge research to build powerful, simple products that drive trust, inclusion and safety online.

At Onfido we use a lot of exciting technology. Our engineers are flexible about technology and like to pick the right tool for the job:

You can learn more about our product engineering team and the work we do on our Onfido Tech blog.


We’re looking for software engineers with expertise in machine learning and computer vision to help us shape and develop our ID verification solutions. We apply cutting-edge ML techniques in our core product to classify documents, identify physical forgeries and extract data.

What you will be doing:

What you will accomplish:

You will contribute towards a publication in a relevant top conference, a feature that goes into one of our products or tools that improve the way we work. We will provide support throughout the project to help you accomplish these goals.

As a Machine Learning Intern, you will be able to work in one of the following areas:



We're committed to making Onfido a fantastic place to work, so we go to great lengths to give you what you need to succeed. As an intern, you will benefit from:


- £30,000 salary pro rata'd

We are an equal opportunity employer and value diversity at Onfido. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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