ML/AI Engineer

About the Merchant AI team

We're a small team working almost like a startup inside the company. Our focus? Using machine learning and a serious amount of data—1.2 billion transactions and counting—to improve life for merchants and the teams that support them. We have genuine autonomy, make decisions together, and believe that trust and flexibility are key to doing our best work. Collaboration is important for us in our flexible, supportive team environment.

The Role

As the new ML Engineer in the Merchant AI team, you'll help us build and scale AI-driven solutions—everything from smarter chatbots to advanced data pipelines and user-facing features. You'll have an impact on both our technical direction and the everyday experience of Nordic merchants.

In this role, you will

• integrate and deploy ML models for real-time and batch inference
• optimise model training, testing and deployment pipelines (MLOps/DevOps)
• help develop and maintain our data workflows
• apply good software development practices for maintainable, tested code
• contribute to a cross-functional team working closely with product and data

About You

You are curious and eager to experiment - you like to try things out and learn as you go. You have a "maker mindset" - you are quick to build and iterate, rather than just talk about ideas. You love working in a team and pride yourself in your ability to collaborate with peers with various technical backgrounds. You are a team player at heart and you enjoy sharing what you know. You communicate well in English.

• Cloud-native architectures and operations
• Docker and Kubernetes
• Working with large language models (LLMs): context engineering, evaluation, possibly fine-tuning
• DevOps and MLOps best practices
• Python (our main language), with some .NET or Golang a plus
• ML toolkits: pandas, NumPy, scikit-learn, Transformers, PyTorch, Matplotlib
• Comfortable with data engineering

Nice To Have

• Experience with RAG pipelines, vector databases, advanced LLM tuning
• Knowledge of data architectures (OLTP, OLAP, etc.)
• Experience in Databricks

Does this sound like something for you? Don´t hesitate and apply today - you'll play a key role in shaping how merchants experience Vipps MobilePay—supported by a friendly, driven team that values both results and work-life balance.