Senior Machine Learning Engineer at H&M Group

Stockholm, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI, MLOps, System Architecture, Performance Optimization, Security Principles, Data Engineering, Software Engineering, Data Science, Kubernetes, LangChain, React, NextJS, Leadership, Collaboration, Communication

Industry

Retail

Description

Job Description WHAT YOU’LL DO: Lead and contribute to the design, development, and delivery of complex AI/ML and generative AI initiatives, ensuring high-quality, scalable outcomes. Architect and implement robust systems using frameworks and integrating LLMs into enterprise-grade applications. Collaborate with cross-functional teams to translate concepts into production-ready systems. Drive technical excellence by mentoring junior engineers and promoting best practices in engineering and MLOps. Identify and manage technical risks and dependencies, ensuring alignment across teams and stakeholders. Support and continuously improve deployed ML systems through monitoring, debugging, and optimization. WHO YOU’LL WORK WITH You’ll work closely with other machine learning engineers, data scientists, solution architects, frontend developers, business stakeholders, and engineering managers to build and enhance AI-powered products that drive innovation and efficiency across the organization. WHO YOU ARE We are looking for people with… ML engineering project experience, including building and deploying ML models. Deep understanding of system architecture, design, performance optimization and security principles needed to build high-quality AI/ML solutions. Hands-on experience with building LLM-based applications. MLOps experience across various projects, including testing, monitoring, and supporting production systems. Knowledge across various competence areas such as data engineering, software engineering and data science in order to facilitate effective cross-competence communication and problem solving. Also preferred if you have: Experience with Kubernetes for container orchestration and deployment. Experience building AI agents using frameworks like LangChain or similar. Knowledge on common front-end frameworks such as React or NextJS. And people who have... Strong leadership and collaboration skills, with the ability to foster a positive and productive environment. Curiosity and a drive to continuously improve engineering practices and technical skills. Excellent communication skills to influence decisions and align with strategic business goals. 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 https://hmgroup\.com/career/h\-m\-incentive\-program/\. 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.

Responsibilities

Lead and contribute to the design, development, and delivery of complex AI/ML and generative AI initiatives. Collaborate with cross-functional teams to translate concepts into production-ready systems.