Machine Learning Engineer (Emerging Tech)

WHAT YOU’LL DO

As a Machine Learning Engineer in Emerging Tech, you will design, build, and deploy machine learning models that help solve complex problems using data-driven insights. You will work alongside data scientists, engineers, and business stakeholders to create scalable and robust solutions that leverage the latest in machine learning and AI technology. This position offers an exciting opportunity to apply your skills to real-world challenges while contributing to the evolution of emerging technologies.

Key Responsibilities:

• Design, develop, and deploy machine learning models for a variety of use cases in AI, IoT, big data, and other emerging technologies.
• Work closely with cross-functional teams to gather requirements and deliver machine learning solutions that meet business needs.
• Apply machine learning techniques such as supervised and unsupervised learning, reinforcement learning, deep learning, and NLP (Natural Language Processing) to complex data sets.
• Collaborate with data engineers to build scalable data pipelines that support model training and deployment.
• Optimize and fine-tune machine learning models for performance, scalability, and accuracy.
• Stay up-to-date with the latest research and advancements in the field of machine learning, AI, and data science to ensure the application of cutting-edge techniques.
• Monitor the performance of deployed models and implement improvements as necessary.
• Document machine learning processes, workflows, and best practices to ensure consistency and knowledge sharing across teams.
• Contribute to a culture of continuous learning and innovation, driving the adoption of new tools and techniques

WHO YOU’LL WORK WITH

Emerging Tech is at the forefront of strategic disruption on processes and tech, exploring and implementing cutting-edge technologies to shape the future of fashion retail. Our team bridges the gap between business and technology, leveraging AI, immersive experiences, automation, and new digital capabilities to enhance customer experiences, optimise operations, and drive sustainable growth. We thrive on experimentation, collaboration, and rapid iteration to unlock new opportunities and create seamless, forward-thinking solutions for the H&M brand.

WHO YOU ARE

We are looking for people with…

• Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field.
• 3+ years of experience in machine learning, data science, or a related technical role.
• Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
• Proficiency in programming languages such as Python, R, or Java.
• Experience working with large datasets, data preprocessing, and feature engineering.
• Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing tools like Spark.
• Strong mathematical and statistical background, with an understanding of algorithms and model evaluation techniques.
• Experience in model deployment, monitoring, and scaling using modern tools and frameworks.
• Solid understanding of software engineering best practices, including version control (Git) and agile methodologies.
• Excellent problem-solving skills, creativity, and the ability to think critically about complex problems.
• Strong communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
• Experience with emerging technologies such as IoT, blockchain, or robotics is a plus.

And people who are…

• Excited about working in a fast-paced, Agile environment.
• Open to learning and adapting to new technologies and best practices.
• Team players with strong collaboration and communication skills.

WHO WE ARE

H&M 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.

Help us re-imagine fashion and together we will re-shape our industry. Learn more about H&M here.

WHY YOU’LL LOVE WORKING HERE
At H&M , we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe.

We offer all our employees at H&M attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, usable on all our H&M 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, Afound. 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 types 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.