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This listing was closed on Jul 19, 2026.
Browse Open JobsMachine Learning Engineer
Summary by AIEngineer.careers
Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Trustpilot. in KØBENHAVN, DK. Imported listing (source: dk.linkedin.com). Apply on the employer's site (dk.linkedin.com).
Imported listing (source: dk.linkedin.com) · Apply on dk.linkedin.com
KØBENHAVN · DK
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from dk.linkedin.com
Trustpilot is looking for a Machine Learning Engineer to join the MLOps team, responsible for deploying, maintaining, and monitoring machine learning models in production. You will collaborate with data scientists and software engineers to build scalable pipelines and CI/CD for ML, ensuring reliable and efficient model delivery.
Responsibilities
- Model Deployment: Collaborate with data scientists to take ML models from development to production with high performance and scalability.
- Build Pipelines: Develop and maintain data and model pipelines integrating with existing systems.
- CI/CD for ML: Design and implement CI/CD pipelines for ML model deployment.
- Model Monitoring: Monitor post-deployment model performance for reliability, scalability, and quality.
- Collaboration: Work with cross-functional teams to design solutions meeting business needs.
- Optimise: Continuously improve infrastructure for AI model production.
- Agentic Development: Develop MCP servers and A2A agents for multi-agent orchestrated deployments.
Requirements
- Experience deploying ML models in production on cloud platforms (GCP, AWS, Azure).
- Experience with CI/CD pipelines for ML (e.g., GitHub Actions, Docker).
Trustpilot
København · DK · 1380+ employees
Trustpilot is an online review platform that connects consumers with businesses by providing a space for users to share feedback on their shopping and service experiences. The platform helps businesses gather actionable insights and build trust with their customers through its open feedback system.
