Machine Learning Engineer Manager to AI Foundation

Location: 117 43 Stockholm

*** Mention DataYoshi when applying ***

Company Description

Are you a leader that is passionate about people, tech and data?
We are now looking for an experienced engineer manager within machine learning to join us in our new Business Tech organization. Join Misbah (video) and the rest of our team creating world-class AI solutions!

Business Tech is a new modern agile product organization within the larger H&M group. We are a team of small and cross-competent teams each owning a product end-to-end with a mission to meet and exceed our customers’ expectations. You will be able to try out your creative and innovative ideas – and have an indecisive impact on how we shape the future of fashion and design.

In the AI, Analytics & Data domain you will be part of our AI Foundation Product Area where our vision is to make H&M Group the industry leader in applied AI with scalable and integrated solutions covering the entire value chain.

We are on a journey together which means there is no clear path. Therefore, you will play an important role in setting the foundation and creating our future solution for supply planning to our sales channels. We believe you are dynamic, collaborative, and curious!

Job Description


The role has a dual focus – staff responsibility and delivery. As a Machine Learning Engineer Manager you will have staff responsibility over employees within the same/adjacent competence as your own. Your staff responsibility goes across different Product Teams and tasks include development conversations, salary review and other staff related activities. You will have the responsibility to build up a high-performing team of talented individuals. You will work in an agile team, with the responsibility for creating and designing solutions which fulfils our customers’ shopping experience. As a Machine Learning Engineer Manager you will also:

  • Work with professional Machine Learning best practices for the full AI development life cycle.
  • Translate product strategy and requirement into suitable, maintainable and scalable solution design
  • Collaborate closely with product owner and other cross-functional teams, share best practice as well as discuss and motivate design solutions.


We are looking for you who:

As a Machine Learning Manager at H&M Group you will embark on a journey that will lead to something new and exciting - we will test, fail and learn. For this assignment, we are looking for someone who has demonstrated experience in leadership roles in tech environments.

You are an important player in this transformation, and so we believe you are communicative, flexible and able to work in an environment that is not yet formalized. You have previous experience from working in large companies with many stakeholders, you have worked with distributed teams, and you know how to translate business requirements and visualize technical roadmaps. You will also:

  • Collaborate with other engineers and specialists in building data-driven solutions that have laser-focus on business problems and our customers
  • Build products in a varied of technologies and with varied focus (reporting, self-service analytics, large-scale data processing)
  • Use your expertise and creativity to solve problems using modern technologies and software engineering, in the areas of data quality, testing, deployment and monitoring

Who you are:

Our journey will lead to something new and exciting - we will test, fail and learn. You are an important player in this transformation; therefore, we believe you are flexible, stress-resistant and able to work in an environment that is not yet formalized.

We believe that you have:

  • Previous experience from leadership and staff responsibility
  • have a degree within software engineering or similar field (e.g. computer science and programming) and a strong will to continuously develop your engineering skillset
  • are a hands-on person, love coding as much as breathing and would like to deploy software engineering practice into machine learning projects.
  • have at least 6 years of working experience in developing machine learning products
  • are experienced in one of following programming languages: Python, Scala or Java. Experience in Spark and distributed computing is seen as a merit.
  • have experience with handling high volume heterogeneous data (both batch and stream) and good understanding about data storage and data structure would be a big plus
  • have experience in agile environment, team collaboration, data-driven development, reliable and responsible experimentation
  • you are a team player, solution-driven and open-minded, with a passion for continuous improvement

Additional Information

What we can offer

At H&M we have a strong, value-driven culture characterized by believing in people, teamwork and an entrepreneurial spirit. Here you can be yourself and have room to grow. You will be part of an important project at H&M with significant opportunities to influence and make a difference. With the right mindset and ambition, you will find plenty of room to grow. We welcome your application regardless of gender, age, gender expressions, sexual orientation, disabilities, religious beliefs, origin or background.

Psst! Do you know that there are several articles written about our AI- journey in global media, here is one: article

Do you think we are a match? We hope so!

This is a full-time position with placement in Stockholm. Please apply with your CV and Personal letter as soon as possible, no later than 31st of March. If you have any questions about the role, please contact Talent Acquisitions Partner Lovisa Ermell at

The H&M group is on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. Rapid technological development and new customer behaviors are transforming the fashion retail industry. To cater the individual needs and desires of our millions of customers, Business Tech will deliver technological solutions for the entire value chain for all our brands.

In Business Tech, we will continuously surprise and delight our customers and accelerate our business - by releasing the power of people, data and technology. We explore new ways of working, have a customer focused mindset, embrace our strong values and release the power of our people to innovate and develop products that make a meaningful impact to customers all over the world

*** Mention DataYoshi when applying ***

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