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StaffHost digital

Machine Learning Engineer

StaffHost digital
Norway · Full-time · Mid-Senior

Machine Learning Engineer | Oslo, Norway


We’re currently representing a large, global organisation that’s expanding its advanced data & AI capabilities in Norway. This is a fantastic opportunity for a Machine Learning Engineer who wants to work on meaningful, production-scale ML solutions while benefiting from excellent salary packages and significant long-term growth opportunities.


You’ll be joining a highly skilled environment where machine learning is core to the business, not an afterthought.


The Role

As a Machine Learning Engineer, you’ll play a key role in designing, building, and deploying scalable ML solutions in a modern, event-driven architecture.


Key responsibilities include:

Development & Design

  • Designing and deploying ML solutions using an event-driven approach, integrating messaging services such as Kafka and Pub/Sub to enable real-time data flow and fast system responses.


Deep Learning

  • Working hands-on with advanced deep learning techniques, including model training, evaluation, and implementing state-of-the-art models to solve complex business problems.


ML-Ops

  • Building and optimising ML-Ops pipelines, covering CI/CD, deployment, monitoring, and lifecycle management to ensure stable, production-ready ML systems.


Data Management & Modelling

  • Managing, modelling, and preparing data for ML use cases. Including data collection, preprocessing, transformation, and ensuring high-quality datasets.


Platform & Cloud Work

  • Developing scalable ML solutions using modern platforms such as Databricks and Microsoft Fabric.


What They’re Looking For

  • Higher education in IT, Computer Science, Machine Learning, or a related field
  • 3+ years’ experience developing and implementing machine learning solutions
  • Strong programming skills in Python
  • Hands-on experience with TensorFlow, PyTorch, or similar frameworks
  • Experience with ML-Ops tools such as MLflow, Kubeflow, and production ML systems
  • Cloud experience with Azure Databricks, Microsoft Fabric, or AWS SageMaker
  • Solid background in data management, data modelling, and working with large datasets
  • C1 level Norwegian (spoken and written)
  • Located in Oslo (or willing to be)


Thank you for your interest in this opportunity. If your application is successful, we will contact you to discuss the position in more detail within 48 hours of receiving your CV. Please assume your application has been unsuccessful if you do not hear back from us within 48 hours.

Key Skills

Ranked by relevance

machine learning deep learning tensorflow kubeflow pytorch mlflow kafka cloud cicd aws ai
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Posted
Feb 20, 2026
Type
Full-time
Level
Mid-Senior
Location
Oslo

Industries

IT Services IT Consulting Information Services Software Development

Categories

Information Technology Business Development

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