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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.jooble.org). Apply on the employer's site (dk.jooble.org).
Imported listing (source: dk.jooble.org) · Apply on dk.jooble.org
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.jooble.org
Trustpilot is seeking a Machine Learning Engineer to join their MLOps team. The role involves 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 systems. Ideal candidates have experience with cloud platforms, ML frameworks, and data processing tools.
Responsibilities
- Collaborate with data scientists to deploy ML models to production
- Build and maintain data and model pipelines
- Design CI/CD pipelines for ML deployments
- Monitor model performance post-deployment
- Work with cross-functional teams to meet business needs
- Optimize infrastructure for scalability and cost
- Develop MCP servers and A2A agents for multi-agent orchestration
Requirements
- Experience deploying ML models in production on GCP, AWS, or Azure
- Experience with CI/CD pipelines for ML (e.g., GitHub Actions, Docker)
- Experience with ML platforms (VertexAI, Kubeflow, Sagemaker)
- Knowledge of data processing frameworks (Spark, Databricks)
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn)
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.
