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MACHINE LEARNING ENGINEER

Stockholm
700000kr - 900000kr per annum
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MACHINE LEARNING ENGINEER

STOCKHOLM

THE COMPANY

This is a unique opportunity for a Data Scientist that also has an interest in the backend data engineering aspects of their work. The role sits within one of Europes most well-known groups, in a team of Data Scientist and Data Engineers.

THE ROLE:

As a machine learning engineer you will

  • Contribute to the production of robust, scalable services for business units within the media group (these can range from publishers, consumer businesses, monetization solutions and growth companies).
  • Use programming, statistics, machine learning to build services which increase efficiency, personalisation and relevance of content.
  • As a machine learning engineer you will partake from ideation through to production and maintain services after delivery to ensure data quality and accuracy.

THE BENEFITS:

  • As a Machine Learning Engineer you will be enrolled in a career development programme specific to your goals.
  • You will join a group known for knowledge sharing.
  • Competititve salary on offer.
  • International

YOUR QUALIFICATONS

  • Masters degree in Computer Science, Statistics, Mathematics, or similar
  • Confident statistical and machine learning skills
  • Your most recent experience has you working with tools like: Python, Tensorflow, KERAS etc.
  • You enjoy data engineering as much as modelling!

HOW TO APPLY?

In order to apply to this role, use the apply button on this page.

KEYWORDS:

Data Science, Data Scientist, Machine Learning, Python, Java, Scala, Modelling, Data Science, Machine Learning Engineer, Algorithms, Next Best Action Modelling, Recommendation Engines, Deep Learning

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VAC-129873/EM
Stockholm
700000kr - 900000kr per annum
  1. Permanent
  2. Data science

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Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Getting Ahead As A Specialist In Data Science

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