Senior Machine Learning Engineer (4168)

Full-Time in Budapest, Szeged, HU - Remote OK

Our partner is a rapidly expanding international technology and data science business. They build high quality SaaS solutions which automate data science using advanced machine learning and deep learning techniques. They use some of the trendiest technology on the planet so you will never get bored of doing the same thing.

About the role

They are looking for a talented developer to join their team. The job entails building and maintaining high performance big data machine learning based models and pipelines to facilitate all their SaaS products for some of the world’s leading brands. You'll be part of a remote team of engineers and data scientists based in the United Kingdom, South Africa, and Hungary.


  • Experience writing testable functional Python in a production grade system.
  • To have used Apache Spark in a production system using Python
  • Having worked with Spark orchestration technologies like Apache Airflow is a plus.
  • Experience of using a cloud platform to architect and build data pipelines.
  • Working experience with a variety of NLP problems such as topic modeling, relevancy, and disambiguation is required.
  • To be a developer who can quickly take up a new technology and deliver features in an extremely agile way.
  • To easily navigate the administration of a Hadoop cluster on a cloud platform such as Databricks
  • Having collaborated closely with Data Scientists on order to help them productionize Machine Learning methodologies using PySpark working with large RDD’s
  • Working with the whole ML lifecycle utilizing MLFlow and/or Seldon is a plus, as is experience with social data.

What they offer:

  • Remote and flexible working
  • Competitive Salary
  • Career Development
  • Exciting Clients and Projects
  • Talented Teams
  • Benefits: stock option plan, staff referral scheme, quarterly staff events, wellness day, volunteering opportunities, birthday lie in, sunshine hours, Christmas gift cards, Flexible Leave Policy, private health care, cafeteria system, enhanced maternity & paternity leave, drinks & snacks, fruit.