Lead Machine Learning Engineer
H&M Group.com
Office
Stockholm, Stockholms län, Sweden
Full Time
Job Description
What You’Ll Do:
- Lead and deliver complex AI/ML initiatives involving multiple stakeholders, ensuring timely delivery of high-quality, business-critical solutions.
- Architect scalable, enterprise-level solutions by setting the technical direction and ensuring robust, future - proof designs.
- Drive technical excellence and innovation by collaborating across departments, improving engineering practices and integrating emerging technologies and industry trends.
- Identify risks and dependencies as well as creating the alignment needed with dependent teams in order to deliver on committed roadmaps.
- Mentor and develop engineering talent, fostering professional growth, and promoting a strong, collaborative engineering culture.
- Represent and strengthen the Machine Learning Engineering area through active participation in organizational initiatives such as recruitment, onboarding, and strategic collaborations.
Who You’Ll Work With
You’ll work closely with machine learning engineers, data scientists, data analysts, solution architects, business stakeholders, and engineering managers to build and enhance AI-powered products that drive innovation and efficiency across the supply chain.
Who You Are
We are looking for people with…
- Proven experience across multiple programming languages, tools and frameworks relevant to AI/ML development.
- Strong expertise in MLOps, including testing, monitoring and proactive incident management to ensure product stability.
- Deep understanding of system architecture, design, performance optimization and security principles for building robust AI/ML solutions.
- Knowledge across data engineering, software engineering and data science to enable effective cross-functional collaboration.
- Ability to break down complex initiatives into actionable steps, clearly communication plans and align teams around execution.
Also Preferred If You Have:
- Hands-on experience with mathematical optimization techniques (e.g. linear and mixed-integer optimization) and a strong understanding of supply chain processes such as allocation, demand forecasting, and supply planning.
And people who have
- Strong leadership and mentorship skills, with the ability to foster a positive and collaborative environment.
- Ability to drive innovation and continuously improve engineering practices and ways of working.
- Excellent communication skills to engage stakeholders, influence decisions and align work with strategic goals.
- The ability to navigate ambiguity and take a structured, step by step approach to achieve meaningful outcomes.
Who We Are
H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.
We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future.
WHY YOU’LL LOVE WORKING HERE
We offer all our employees at H&M Group attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here.
In addition to our global benefits, all our local markets offer different competitive perks and benefits. Please note that they may differ between employment type and countries.
Join Us
Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.
Take the next step in your career together with us. The journey starts here.
*We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.
Lead Machine Learning Engineer
Office
Stockholm, Stockholms län, Sweden
Full Time
October 17, 2025