Machine Learning Engineer, Customer domain Group D...

Job description


IKEA is taking huge steps in its digital transformation and our Machine Learning Engineers are working in cross-functional teams to transform IKEA into a more data driven company by building state-of-the-art data products.

You like solving hard problems with code. You are not afraid to innovate to find a better answer. And you like working on state-of-the art technologies. All the while you solve real problems for IKEA customers and co-workers.
You are a hands-on Machine Learning Engineer who can build great products.
You will join a diverse team within Data & Analytics consisting of data analysts, data scientists, data engineers, ML engineers and data stewards based across Sweden, Netherlands and Spain.

Our diverse and global team within Data & Analytics is growing even more and we would love to talk with you, if you recognize yourself in some of the following:

  • Strong knowledge about and practical experience with designing, building and implementing machine learning solutions at scale, especially in a commercial setting (MLOps including monitoring, A/B testing, model life cycle maintenance)

  • Extensive software development skills (Python, packaging, testing and CI/CD)

  • Broad knowledge of cloud-based tools and practices for building, scalable hosting and maintaining machine learning systems (for instance AI Platform, Vertex AI, Airflow, Kubeflow). And curious to learn the ones you don’t know yet!

  • Broad knowledge of collaborative software engineering practices (Git, Agile, DevOps)

  • A team player who takes ownership, builds cross-functional relationships with peers and loves sharing knowledge with more team members

  • A curious world class problem solver who wants to keep learning

  • An educational background in engineering, computer science or a related field

  • This is our wish list! If you don’t recognize yourself in all these points, you might still be an excellent candidate for the role. We like to think long-term and invest in people’s development together with us.

The IKEA culture and values are very much a part of our business and day-to-day work life. For you to thrive and grow with IKEA it’s important for us that you share our values! You can read more regarding our values and life at IKEA on our website www.ikea.com.


This role will find a home in our Customer Domain meaning that the majority of the work will focus on making the IKEA experience better for our customers.
Concretely, this Machine Learning Engineer role will be driving the development of machine learning products for our customer meeting points (ikea.com, IKEA App, Store). The Machine Learning Engineer will not only be expected to work hands-on with data pipelines and logic, but will also be a thought partner on questions like:

  • How can we build, maintain and test scalable machine learning infrastructure and solutions that enable the transformation of IKEA into a data driven company?

  • How do we build monitoring and feedback loops for production machine learning solutions, both online and batch?

  • What user needs do we prioritise first, making the optimal choice between quick business impact and building for the future?

  • What data solutions and mindsets should we evolve to empower not only our Data Analysts/Engineers/Scientists/Stewards, but all co-workers?

  • How do we coach and develop our junior team members to become world class Machine Learning Engineers?

Perhaps you have your own ideas on problems to solve? Our ultimate goal is to create a better everyday life for the many people by creating a unique partnership with each customer. To do so, we want to give customers the most beneficial offer for them, exactly when they need it, and support them throughout their journey with IKEA in the best way possible.


You will work in Data & Analytics together with other Data Analysts, Data Scientists, Data Engineers, Data Stewards and Data Architects. Together you will be joining cross-functional teams consisting of colleagues from Technology, Product, Design. The teams design, implement and deploy products that help to solve these kinds of problems. Your job will be a mix of translating business needs into data products, designing data solutions for scale, coaching other data engineers – and of course writing code.

IKEA has long been a global leader in home furnishing. We are proud of our vision to improve the everyday life of the many people. But our industry is quickly changing, and we need to adapt to stay competitive.

As part of IKEA’s journey to strengthen our digital capabilities, we are building a Data & Analytics function. This team is working on problems across the company, ranging from customer modelling, pricing, online shopping, visual intelligence to logistics optimization.
We see so many opportunities for what we can accomplish and have the ambition to be a world class team. At the same time, we believe that our work is not just about building models, but also about learning and having fun together.


  • Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data & Analytics colleagues in other specialist teams.

  • Opportunities to have global impact with your work.

  • Flexible and modern tools: we deploy mainly on Google Cloud Platform (and other cloud providers like Azure, Ali etc. when needed)

  • We use a lot of open source tools across the board.

  • We use the latest programming languages Python, Java/Scala, Go, Rust

  • Hardware and OS of your choice.

  • A team of great colleagues to learn with and from (with world-class experience across all aspects of Data & Analytics).

  • Continuous learning (we aim to spend 20% of our working time on learning).

  • Flexible and friendly working environment.


Does this sound like your next challenge? IKEA offers an exciting and empowering work environment in a global workplace. And as the world’s leader at life at home, you have exceptional opportunities to grow and develop together with us.
If you have questions regarding the role, recruitment process or other practicalities please reach out to Annette Björkquist-Åhstedt at annette.bjorkquist-ahstedt@ingka.ikea.com.
Please apply with your application in English. Note that we cannot process any applications through email. Thank you!

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