Visma e-conomic a/s Visma e-conomic a/s Visma e-conomic a/s Visma e-conomic a/s Visma e-conomic a/s Visma e-conomic a/s

Senior Engineer for highly successful machine learning team

Senior Engineer for highly successful machine learning team

Visma is Scandinavia’s largest software company and one of the biggest SaaS vendors in Europe. The VML Machine Learning team delivers state of the art machine learning products to across Visma’s fleet of business systems - processing millions of business documents and millions of transactions every month.

The engineering team is responsible for running our production services - as well as delivering efficient tooling for the data science team in charge of model development. 

Our machine learning platform was built in house using industry standard components - we strive to deliver on the promise of cloud native technology - great robustness, great scalability and great manageability. Our machine learning components are primarily based on Google Tensorflow - with some legacy python-based ML as baggage.

We’re looking for an engineer with solid experience - preferably in a lead role - with

  • The Cloud Native toolchain - technologies like

    • Kubernetes

    • Terraform

    • Prometheus

    • Istio/Envoy

    • GRPC

  • Experience with the Google Compute Platform e.g.

    • Stackdriver

    • BigQuery

  • Experience with one or more of the programming languages in our toolchain

    • Go

    • Python 

What you can expect working here

  • The autonomy of a startup with the backing of Scandinavia’s biggest software company

  • Interesting problems to solve

  • A great appetite for state of the art technology

  • A small, experienced and cohesive team

  • Data at scale, serving a massive, and growing market

  • A truly great place to work - with time to experiment, have fun and win


Location: Team is located in Copenhagen - but we’re open to remote work  - preferably in the nordics.


Share on:

Reference No.:



  • Region Hovedstaden

Job type:


Working hours:


Working days:


Application deadline:

As soon as possible

Expected Start Date:

As soon as possible




Claus Dahl

Telephone: +45 22901886

Mobile: +45 22901886

Company homepage:

Office address:

Langebrogade 1a 1411 København