Senior Machine Learning Engineer - Stockholm (Onsite)

Om jobbet

About the Assignment

As a Machine Learning Engineer, you'll be a core contributor in the development and deployment of AI/ML-based software products used across the company's global operations. You'll work closely with engineers, data scientists, and stakeholders to design scalable and impactful solutions.

Key responsibilities include:

Developing AI/ML software products end-to-end: from data exploration and feature engineering to model evaluation, deployment, and scaling

Designing and maintaining large-scale data infrastructure for ML projects

Writing clean, scalable, and future-proof code based on solid software engineering principles

Building reusable components and services to support ML workflows (e.g. feature reuse, model traceability, A/B testing)

Collaborating in agile, cross-functional teams to strengthen the company's internal AI ecosystem

Your Profile

We're looking for someone hands-on, technically sharp, and passionate about applying software engineering to machine learning challenges.

You bring:

4+ years of experience in machine learning engineering roles

A BSc or MSc in Computer Science, Engineering, or equivalent practical experience

Strong coding skills, with 3+ years of hands-on experience in Python

Proven experience deploying ML models into production

Familiarity with modern programming languages and software development practices

Experience working with cloud-based ML tools (preferably Google Cloud / Vertex AI)

Solid understanding of MLOps, pipelines, and deployment strategies

A background in working with large-scale, heterogeneous data (batch and streaming)

Comfort working in agile teams and a strong belief in data-driven development and responsible experimentation

Required: Cloud certification (GCP, Azure, or AWS). If not already certified, the consultant is expected to be certified within one month of the assignment start.

Assignment Details

Location: 100% onsite in Stockholm Duration: May 26 - October 31, 2025 Scope: Full-time Remote work: Not applicable Application deadline: May 11, 2025

Interested in joining a global brand at the intersection of fashion and tech?

Apply now - interviews are held on a rolling basis.