Machine Learning Engineer

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At Tink, we’re creating the foundations that a new world of finance will be built on. By constantly challenging ourselves to go further and do better, we’re developing the ground-breaking services that businesses will use, to revolutionise the way millions of people manage their money. The world of financial services is changing fast, and we will continue to be at the forefront of it.

How you'll challenge an industry:
Tink's ambition is to be the leading actor in data-driven banking in Europe. We are currently in an advantageous position, with access to vast amounts of entirely unique data. In this role, you'll work with solving some of Tink's most complex challenges. You will lead our efforts in machine learning and have the opportunity to truly shape the next generation of financial data products. Furthermore - you will have the possibility to chose which tools and technologies we will use to succeed in our mission.

We are looking for an experienced ML Engineer to join our diverse team of skilled data engineers, backend engineers, and data scientists whose mission is to enable the next generation of financial services using ML technologies. We transform basic financial data into rich, intelligible, and actionable information on a global scale, capturing variations between market characteristics and individual behaviours to offer the best possible experience. These products will then used by customers all over the world.

You will help us leverage different technologies and frameworks to bring models into production and make them scalable, as well as to build a modern ML infrastructure that enables us to iterate and experiment fast and reliably.

What we look for:

  • You have driven ML projects from design to production in real-world applications
  • You have experience in building real-world applications and seeing things fail and succeed
  • Experience in programming languages such as Java, Go, Scala etc
  • Infrastructure around training, evaluating, and deploying ML models
  • Distributed, cloud-native, microservice architectures
  • E.g. Kubernetes, GCP Datalab/ML Engine, AWS SageMaker, Tensorflow
  • Experience in ETL jobs focused on data cleaning and feature generation
  • E.g. Apache Beam/Spark/Flink, Airflow
  • Experience in CI/CD applied to this domain
  • Domain knowledge from the financial industry
  • Previous experience from a fast-paced and rapidly evolving environment
  • You have experience working with a cross-functional team, including data, backend engineers, and data scientists

About the Enrichment team:
We transform basic financial data into valuable information by means of engineering and machine learning techniques. As data is ingested into Tink’s platform, it gets enriched, helping end-users and financial entities to understand it and make better, informed decisions.

Our teams are fully cross-functional, Data Scientists sit together with Machine Learning and Backend engineers, who own a mission and are responsible for executing the strategy by building, operating, and improving the products they own. From enriching the data as it’s ingested to serving it directly to customers or to higher-level solutions built by Tink.

Looking ahead we will continue to improve our Data Science and Machine Learning infrastructure and workflows so other teams can benefit from working with these types of technologies in the future, and so we can reliably improve and deploy our models. This way, we will guarantee high accuracy and performance at a low cost for all the markets in which we are present, and we will enable seamless expansion to new markets. At the same time, we will continue expanding our product portfolio with new and exciting functionalities that will power new use cases for end customers and financial institutions alike.

Our tech stack is based on AWS, GCP, and Open Source Software products.

Or, know someone who would be a perfect fit? Let them know!


Vasagatan 11
111 20 Stockholm Directions 08-50 90 89 00 View page

The values that guide us

Not everyone can be everything all the time, but we all do everything we can to live our values - because that's how we keep pushing the envelope. 

Challenging: We are here to challenge the industry as well as ourselves.

Exceptional: We always strive to be the best version of ourselves.

Sincere: We are true in our actions and say what we believe.

Responsible: We step up, take initiatives and make things happen.

Friendly: We are in this together, we are one team.


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