[ML] ML-ify a data visualization without duplicating logic by creating anomaly detection job

[pianist-iris]

Describe the feature: Simple few-click to enable ML for a visualize (e.g. traffic volume graph, login count graph) to detect anomaly. See https://discuss.elastic.co/t/machine-learning-for-visualizations/289393

Describe a specific use case for the feature: We have multiple Kibana visualizations which are traffic volume graph or login count graph. Now we would like to utilize machine learning module to detect anomaly in those graphs. Currently we are creating multiple jobs manually, applying the same logic in each visualize into each job. Would be good to have a smarter way - both for the creation now, and for future maintenance across visualizations and machine learning jobs. e.g. there's a setting button next to each visualization, where we could just enable Machine Learning for that visualization

[elasticmachine]

Pinging @elastic/ml-ui (:ml)