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Tech Lead Machine Learning

Tink is building a world of financial happiness. Our technology is enabling some of Europe’s biggest banks and fintech unicorns to embrace the new open banking world – and deliver the future of financial products to millions of people.

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.

  • This is a high impact role, since you’ll lead the work around ML engineering from a technical standpoint as we keep growing in this space
  • We are looking for an experienced ML engineer to work with a diverse team of skilled data engineers, backend engineers and a data scientist 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
  • Our tech stack is based on AWS, GCP, and Open Source Software products
  • 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:

Required skills

  • 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

Bonus skills

  • 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

What it's like here:

Tink is an engineering and product company at heart. As an engineer at Tink, you will work in a specific team critical to Tink’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 

Even though we are separated in teams, Tink is still a true start-up and one big team where everyone’s opinion is valued. It’s not uncommon that we all sit together and workshop on the next feature design on a Friday afternoon, and build prototypes and ship beta versions the week after. There is a great degree of freedom within your team and you are solely responsible for what you do and your time. This is a perfect time to join Tink and put yourself in one of these small, growing and creative teams.

Apply for this job

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


Vasagatan 11
111 20 Stockholm Directions hello@tink.se 08-50 90 89 00

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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