H&M is a fashion brand that offers the latest styles and inspiration, from fashion pieces and unique designer collaborations to affordable wardrobe essentials. Our business idea is fashion & quality at the best price in a sustainable way. Learn more about H&M here.  

A Lead Machine Learning Engineer (MLE) drives technical improvements that benefit our larger organisation, leads complex & high-importance projects or initiatives that require AI/ML solutions as well as creating possibilities and forums to share their knowledge in order to elevate the overall competence of the rest of the organisation. A Lead MLE should possess strong leadership skills and technical expertise as well as the ability to foster a collaborative and innovative engineering culture.

Responsibilities

•Lead and manage complex AI/ML development initiatives, often involving several stakeholders or delivery teams, ensuring on-time delivery and high-quality solutions

•Drive technical initiatives, possibly in collaboration with other engineering departments, that improve our engineering practices

•Mentor and coach engineering colleagues across the organization, promoting their professional growth

•Collaborate with stakeholders to understand requirements and provide technical insights on complex initiatives that are of high business value

•Represent the Machine Learning Engineering Area in the wider organisation

•Support in creating a strong engineering culture by participating in organisational activities such as recruitment, onboarding, mentoring etc., while also identifying and suggesting potential improvement in such activities

•Stay up to date on emerging technologies and industry trends to identify improvements that can strengthen our engineering practices

•Applicable working experience or Bachelor's or Master's degree in Computer Science, Machine Learning or related technical field. Certifications in project management or similar courses are a plus.

•Proven ability to lead, design and implement high-quality AI/ML solutions

•Experience and expertise in multiple programming languages, tools and frameworks relevant to AI/ML development.

•Deep understanding and experience of testing and monitoring approaches for AI/ML products (MLOps), as well as ability to identify improvements that make products more stable and/or incident management more proactive

•Deep understanding of system architecture, design, performance optimization and security principles needed to build high-quality AI/ML solutions

•Experience interfacing with stakeholders and ability to identify when and what AI/ML solution are suitable to solve a business problem

•Strong leadership and mentorship skills with the ability to foster a positive and collaborative environment

•Ability to drive innovation and improvements in our engineering practices and ways of working

•Deep understanding of cloud technologies and cloud development, and ability to identify gaps or improvements in our existing best-practices

•Understanding of different software development disciplines and ability to identify how to best collaborate in order to implement larger initiatives spanning multiple disciplines

This is a full-time position based in Stockholm. Apply by sending in your CV in English as soon as possible, but no later than 16-February 2025. We will review and interview candidates ongoing. Due to data policies, we only accept applications through the career page.