Senior Machine Learning Engineer â Stockholm (Onsite)
Senior Machine Learning Engineer â Stockholm (Onsite)
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Job Description
About the Assignment
As a Machine Learning Engineer youll be a core contributor in the development and deployment of AI/MLbased software products used across the companys global operations. Youll work closely with engineers data scientists and stakeholders to design scalable and impactful solutions.
Key responsibilities include:
- Developing AI/ML software products endtoend: from data exploration and feature engineering to model evaluation deployment and scaling
- Designing and maintaining largescale data infrastructure for ML projects
- Writing clean scalable and futureproof 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 crossfunctional teams to strengthen the companys internal AI ecosystem
Your Profile
Were looking for someone handson 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 handson experience in Python
- Proven experience deploying ML models into production
- Familiarity with modern programming languages and software development practices
- Experience working with cloudbased ML tools (preferably Google Cloud / Vertex AI)
- Solid understanding of MLOps pipelines and deployment strategies
- A background in working with largescale heterogeneous data (batch and streaming)
- Comfort working in agile teams and a strong belief in datadriven 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: Fulltime
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.
Employment Type
Full Time
