Machine Learning Engineer

The Babyshop Group is a global premium and luxury retailer of children's clothing and products to the modern family. The Group operates,, and as well as a number of retail stores. Babyshop offers more than 500 prestige brands along with a number of proprietary brands like e.g. Kuling, STOY and a Happy Brand. With an annual sales run rate of over €100 million, catering +100 countries and reaching over 1,000,000 customers Babyshop Group is a leading player with a global footprint. 

For further information see


Data plays a vital role in Babyshop’s organisation, enabling data-driven decisions supported by both ad-hoc analysis as well as highly complex ML-models. We have machine learning models deployed, leveraging massive amounts of data, within multiple areas such as recommender systems, search & rank, demand predictions, CLV-predictions and attribution models to name some. You will join the Data Team where you will develop production grade code, ML-algorithms as well as infrastructure to ensure reliability and scalability. The Data Team consists of a core team with different expertise; Data Engineer, Data Analyst, Data Scientist, BI Developer, ML Engineer etc, working with data in all stages. We believe that how we leverage data, accompanied by a customer-centric mindset, is the differentiating factor and are looking for an individual who shares that belief.


  • Produce high quality code, leveraging software development as well as ML-Ops best practices, to create long-lasting, easily maintainable, code and algorithms.
  • Design, engineer and improve algorithms focused on a broad set of use-cases; recommender systems, ranking, CLV-predictions, Attribution modelling, Purchase probability predictions etc.
  • Being an integral part in the full lifecycle of ML-development: Forming hypotheses, data munging raw data, setting up experiments as well as evaluating them. This, followed by full-scale deployment into production, with continuous re-training, validation and monitoring.
  • Help idealise, plan and deliver intelligent algorithms, at scale, while working closely with business and tech to meet ambitious goals..
  • Integrate ML-algorithms into the platform, both independently and in close collaboration with software developers.
  • Contribute to innovation within the company, coming up with new ways to leverage ML and data.


  • You have a MSc in Statistics, Mathematics, Machine Learning, Computer Science/Information Technology, Economics/Econometrics or other quantitative scientific discipline and/or relevant work experience.
  • You believe good code is as important as good algorithms.
  • You are fluent in SQL (we use Snowflake), Python (which is our core language) and Data Science & ML packages (Pandas, scikit-learn, TensorFlow etc).
  • You have experience engineering and implementing tree based models and deep learning architectures.
  • You have a good understanding of cloud technologies (we use GCP).
  • You are pragmatic in how you approach problems, understanding it starts with fully grasping the problem and ends with engineering the solution, not the other way around.
  • You are not afraid of trying out new tools or technologies, and have an aspiration to continuously develop.
  • You are interested in keeping up to date with scientific advancements, both in the modelling field as well as the ML-Ops field.
  • You are a strong English communicator, both written and spoken.


  • Have experience deploying ML-models into production, as well as the surrounding infrastructure including Docker, Kubernetes and ML-pipeline orchestration tools (we use Kubeflow Pipelines & Vertex AI).


The Babyshop Group headquarter is in Stockholm with additional offices in Oslo and Paris. You find our modern automated warehouse and data-driven Customer Service and Photo studio in Jönköping. The position is based in our HQ office in Stockholm, Östermalm. As a Machine Learning Engineer you report to the Head of Data and belong to the Babyshop Group Tech-organization.

Sounds interesting? Click on the “Apply” below to submit your application, where we encourage you to attach both CV and Cover Letter! The last day to submit is 2023-02-28 however applications will be reviewed continuously. Good luck!

Start: As soon as possible 
Extent: 40h/week, Permanent employment with six months’ probation period. Flexible working hours apply.
Where? HQ in Stockholm, Östermalm.


The link to your LinkedIn profile can be found here

Apologies, your application wasn't recieved correctly due to what seems like a malformed file. Make sure the file is not corrupt and is of common format, preferably PDF.

privacy policy