Senior MLOps Engineer / AI Platform Specialist
Company: Twoday
Location: Copenhagen Municipality, Capital Region of
Type: Full-time
Posted: 2026-08-21
About this role
*Twoday is the leading digital transformation partner in Northern Europe with a global presence. With approximately 3,000 technologies, we collaborate with the most admired private and public organizations to deliver cutting-edge digital solutions. Our deep industry expertise spans Data & AI, software development, digital experiences, and business applications. Operating across the Nordics and Lithuania, our team generated a revenue of 280 million euros in 2023. We serve over 8,000 customers, supporting their digital transformation journeys.*
Senior MLOps Engineer / AI Platform Specialist
About The Role
We are looking for a Senior MLOps Engineer / AI Platform Specialist to help design, build, and operate production-grade machine learning platforms.
This is a hands-on role onsite in Copenhagen where you will work at the intersection of data, infrastructure, and software engineering – ensuring that machine learning solutions are scalable, reliable, and ready for real-world use.
You will work closely with data scientists, developers, and stakeholders to bring AI solutions from experimentation into stable and secure production environments.
You will be responsible for:
MLOps & platform engineering
- Design and implement end-to-end MLOps pipelines
- Enable reliable deployment, versioning, and lifecycle management of ML models
- Establish best practices for model governance, reproducibility, and traceability
Cloud & infrastructure
- Build and maintain ML platforms in cloud environments (Azure, GCP or similar)
- Design hybrid architectures combining cloud and on-premise solutions where needed
- Implement Infrastructure as Code and automated provisioning
CI/CD & automation
- Build and maintain CI/CD pipelines for ML and data workflows
- Automate model training, testing, and deployment processes
- Ensure robust and scalable delivery pipelines
Monitoring & reliability
- Implement monitoring for models and data pipelines (pe...