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Machine Learning Engineer - Computer Vision at Revolut
London, GB


The Financial Crime Technology department is at the forefront of Revolut’s efforts to keep customers and their money safe. Through the intelligent development and deployment of technology, we aim to prevent financial crime more effectively than traditional banks.

We operate in small, nimble teams that are built for scale, speed, and quality. Each unit is responsible for a different pillar of fincrime, giving you the chance to have a real impact on crucial problems that affect millions of people around the world.


In Data we are composed of machine learning engineers, data engineers, data scientists, backend engineers, all focused on solving some of the hardest problems in the world. You will work with the Computer Vision team, in particular, the Compliance team.

Our team builds and deploys systems that interacts with different parts of the Revolut's infrastructure and leverage machine learning and computer vision to most efficiently automate compliance related matters, such developing automatic measures for ID verification during the onboarding process. As Revolut continues to experience the incredibly fast paced growth of its user base, the business impact of the team grows as well, as every step the team automates is a step less that needs to be handled manually, enabling Revolut to hit a global scale.

We are looking for a machine learning engineer to help us better automate these compliance related processes, through developing and putting into prod online and offline algorithms that leverage our backend and the data. If you are skilled in software engineering, machine learning, computer vision and applied maths, possess a passion for building solutions and have a strong aptitude for data technologies, then this is your gig!

What you'll be doing:

- You will be responsible for building new machine learning models to automate Compliance processes. Our machine learning engineers are end-to-end practitioners responsible for coming up with an idea, prototyping the model, implementing it in our pipelines and measuring its impact in production.
- You will work alongside a newly created team of machine learning engineers in Computer Vision and come up with innovative new strategies and solutions. At Revolut, we are firm believers in measuring and rewarding success, and your KPIs will be dictated by how much impact your work is having on the automation rate of these Compliance related processes, while not compromising our good users’s experience.
-Expect a great sense of ownership for the projects you develop while benefiting from the support of the wider Computer Vision team as we have a strong collaboration culture. In addition to this, the overarching Data team is also readily available to support, including engineering support for deploying final solutions into production.
- Our data stack is based mainly on Python and TensorFlow. We are hosted on GCP and our data scientists and engineers rely heavily on Jupyter, Flask, RabbitMQ, Kubernetes, Docker for their machine learning data solutions.


- Strong knowledge of Machine Learning fundamentals.
- Good understanding of deep learning Computer Vision techniques.
- Knowledge of more traditional Computer Vision techniques is a plus.
- Hands on experience with Deep Learning related libs (e.g. TensorFlow, Keras, PyTorch).
- Strong command of Python and write efficient code. We primarily use Python 3.7.
- Familiarity with some flavour of SQL. You also have experience with NoSQL DBs.
- Experience in making prod machine learning solutions via internships or full-time roles.
- Experience in system design and distributed computing.- Experience with CI/CD and containerisation is a bonus.- Experience with cloud-based infrastructure such as GCP or AWS is a plus.


We believe that there are better ways for people to control their money. Easier, fairer ways.
Revolut started in 2015 with fee-free card transactions abroad. We’ve since added current accounts, business accounts, savings, insurance, and even cryptocurrency trading.
We reached 10 million customers as of January 2020 and we’re only getting started.
And we’re only just getting started.
Come and help Revolut build the world’s first truly global bank.


From employee 1 to employee 1000, you will be slotting into a global team that shares a number of traits.
You can work autonomously and take ownership. We thrive with the space and responsibility to solve problems.
You operate best without lots of bureaucracy. We don’t hide behind fancy job titles or clunky processes ‘because that’s how things are done’.
You approach work in a logical way. We are not afraid to make mistakes but we use data and logic to backup decisions and improve understanding.
And you share our mission to improve people’s relationship with their money.


• Competitive salary
• Biannual equity bonuses
• All the latest tech you need
• Skip the commute and work from home once a week
• Roll with a free Revolut Metal subscription
• Pension plan
• Private health insurance
• Don’t panic about cooking: get free dinners with Deliveroo
• Start the day properly with fresh fruit and cereals
• Stay refreshed: get juice, tea, coffee and soft drinks on tap
• Rest up with 29 days’ holiday per year

Please only submit an application for one posting.

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