WHAT YOU’LL DO:
- Implement, test and maintain AI/ML solutions that ensure reliable, scalable, and high-quality production-grade deliveries.
- Contribute to the design and refinement of AI/ML features and services in collaboration with more experienced engineers.
- Participate in development activities such as code reviews, testing, and monitoring to ensure product quality, maintainability, and performance.
- Troubleshoot and resolve software, infrastructure, or data-related issues within existing AI/ML solutions.
- Collaborate with peers and stakeholders to clarify requirements and translate business needs into technical implementation tasks.
- Contribute to continuous improvement initiatives by suggesting enhancements to processes, tooling and engineering best practices.
- Stay updated on emerging AI/ML technologies, tools, and ways of working to continuously strengthen engineering capabilities.
WHO YOU’LL WORK WITH
You will be part of a cross-functional product team with other ML engineers, data scientists, data analysts and product manager, as well as collaborating with business stakeholders, solution architects and engineering manager(s) in order to build and enhance AI-powered solutions that drive innovation and efficiency across H&M.
WHO YOU ARE
We are looking for people with…
- Strong Python programing skills and experience with tools, frameworks and technologies relevant to AI/ML development.
- Solid understanding of software engineering principles, testing methodologies, and best practices for building maintainable software solutions.
- Experience with cloud technologies and cloud-based AI/ML development, preferably on GCP and with Vertex AI.
- Thorough understanding of AI/ML algorithms, development lifecycle, MLOps practices and production-grade AI/ML solution development.
- Strong problem-solving skills and ability to troubleshoot software, infrastructure, and data-related issues.
- Practical experience in working with version control systems such as Git and Agile development practices.
And people who have
- Strong collaboration and communication skills, with the ability to work effectively across cross-functional teams and communicate technical topics to both technical and non-technical stakeholders.
- Ability to contribute to requirement analysis and translate business needs into technical implementation tasks together with more experienced engineers.
- Ability to independently drive implementation work, while also understanding when to seek support, alignment or escalation when needed.
- Attention to quality, maintainability and engineering standards in delivered AI/ML solutions, with a mindset focused on continuous improvement.
- Proactive and curious mindset with passion for technology, innovation and continuously strengthening team efficiency, engineering culture and ways of working.
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.
Skills Required
- Strong Python programming skills and experience with AI/ML development tools, frameworks, and technologies
- Understanding of software engineering principles, testing methodologies, and maintainable software development practices
- Experience with cloud technologies and cloud-based AI/ML development, preferably GCP and Vertex AI
- Understanding of AI/ML algorithms, development lifecycle, MLOps practices, and production-grade AI/ML solutions
- Strong problem-solving skills and ability to troubleshoot software, infrastructure, and data-related issues
- Practical experience with version control systems such as Git and Agile development practices
- Strong collaboration and communication skills across cross-functional teams
- Ability to translate business needs into technical implementation tasks
- Ability to independently drive implementation work and recognize when support or escalation is needed
- Attention to quality, maintainability, and engineering standards
- Proactive, curious mindset with an interest in technology, innovation, and continuous improvement
H&M Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about H&M Group and has not been reviewed or approved by H&M Group.
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Healthcare Strength — Medical, pharmacy and vision options with low employee costs and free dental are available, alongside telehealth and inclusive offerings such as transgender, bariatric and fertility coverage. These features are highlighted as solid for U.S. retail roles, with some availability for part‑time positions depending on eligibility.
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Leave & Time Off Breadth — Vacation, flexible wellness days, company‑paid holidays and a paid birthday off are offered, with some paid time off available to part‑time staff. The time‑off structure is presented as generous within the retail context.
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Parental & Family Support — Eight weeks of paid parental pay for mothers and fathers is provided, complemented by adoption assistance and healthy pregnancy/babies programs. These family supports add depth to the core medical coverage in the U.S. package.
H&M Group Insights
What We Do
Founded in 1947, H&M Group is a global design company with ~4,702 stores in 76 markets and 56 online markets. At H&M Group, we believe in making great design available to everyone. It’s essential in everything we do. Our family of brands and business ventures offer customers around the world a wealth of fashion, beauty, accessories and homeware, as well as modern menus with fresh and local produce at some of the brands’ in-store eateries. But design is so much more than just products; it’s about clever design processes, efficient product flows, creating experiences that enrich, and smart solutions that benefit all our customers. Sustainability is always at the core of our business. Not only because we like to do what’s right — but it’s also beneficial for our business. We will continue to push for change and lead the way towards a more inclusive and sustainable fashion future. Do you want to join us? We will trust you with great responsibility right from the start, reward a passionate mindset and encourage an entrepreneurial spirit. When you start a career with H&M Group, there’s no limit to where it can take you. H&M Group's Moderation Policy: Welcome to H&M Group’s official LinkedIn page. Ask questions, exchange ideas and meet members and employees from all over the world. This page is moderated daily and we always do our best to answer each one of you in a timely manner. Please remember to keep a friendly tone and in line with LinkedIn’s legal terms at https://www.linkedin.com/legal/user-agreement Comments and posts that contain foul language, are off-topic or unnecessarily rude will be deleted. We also encourage you to report any inappropriate content. We use an external tool to handle the comments on our page, so please note that your comments can be stored. For questions, please contact our team at [email protected].
