Effective anomaly detection methods are critical in Industry 5.0 environments.Continuous analysis of vast amounts of multivariate time series data poses challenges.Combining an embedding model with Machine Learning algorithms improves anomaly detection performance.Tested in a real industrial use case, the solution demonstrated high performance in detecting anomalies.