Senior MLOps Engineer / AI Platform Specialist (AI/ML)

TL;DR

Senior MLOps Engineer / AI Platform Specialist (AI/ML): Design, build, and operate production-grade machine learning platforms with an accent on end-to-end MLOps pipelines, cloud infrastructure, and CI/CD automation. Focus on enabling reliable deployment, versioning, and lifecycle management of ML models, implementing monitoring for performance, drift, and availability.

Location: Onsite in Copenhagen. Fluent spoken and written Danish required for public sector clients.

Company

Leading digital transformation partner in Northern Europe with global presence and expertise in Data & AI, software development, serving over 8,000 customers across Nordics and Lithuania.

What you will do

• Design and implement end-to-end MLOps pipelines for reliable deployment, versioning, and lifecycle management of ML models.
• Build and maintain ML platforms in cloud environments like Azure or GCP, including hybrid architectures and Infrastructure as Code.
• Develop CI/CD pipelines for ML and data workflows, automating training, testing, and deployment.
• Implement monitoring for models and pipelines, ensuring stable, secure production operation and continuous improvements.
• Collaborate with data scientists, developers, and stakeholders to productionize AI solutions.

Requirements

• Experience with MLOps and running ML models in production.
• Work with cloud platforms such as Azure Machine Learning, GCP Vertex AI, or similar.
• Strong programming skills (e.g., Python).
• Experience with containerisation and orchestration (Docker, Kubernetes).
• Experience with CI/CD pipelines and infrastructure automation.
• Fluent spoken and written Danish required.

Nice to have

• Modern ML frameworks (e.g., PyTorch, MLflow).
• Experience with LLMs or advanced AI architectures.
• Work in regulated or compliance-driven environments.
• Communicate complex technical topics to technical and non-technical stakeholders.

Culture & Benefits

• Flexible and collaborative working environment with strong professional communities across Nordics.
• Work with production AI solutions and shape modern AI/data platforms.
• Opportunities for learning, certification, and professional development.
• Knowledge sharing, strong technical environment, and comprehensive employee package including pension and health insurance.