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Senior Machine Learning Engineer – Stockholm (Onsite)

About the position

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.

Place of work

Talent Job Seeker
Stockholm
app.general.countries.Sweden

About the company

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Relevant places near

  • Stockholm
  • Sollentuna
  • Södermalm
  • Huddinge
  • Haninge
  • Kungsholmen
  • Solna
  • Bromma
  • Vasastan
  • Täby



Job ID: 9600951 / Ref: b9e9d02315e0bbff58ea212787a26b58

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