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A new entry this quarter, and the GCP answer to AWS's ML credential. Evidence for this specific cert is thin, and the ranking leans more on the direction of AI demand than on hard per-cert salary data.
ML engineers building and productionising models on Vertex AI: training pipelines, model registry, deployment and monitoring. They usually sit inside data-mature enterprises, GCP partners and AI-first product companies.
Treat this as a thesis position rather than a settled one. Formal AI cert premiums average around 8.5% of base, and GCP's Vertex and Gemini stack is winning enterprise AI workloads. It pairs with the Professional Data Engineer.
This is as much an evidence risk as a market one. If per-cert salary data lands below the estimated range, the rank corrects downward — so treat the current figure as provisional until a primary source confirms it.
How Google Cloud Professional ML Engineer's market value changes with years since it was earned.
Top 10% of the CertBueno Top 100.
This certification pays 14% above the rest of the Top 100.
One of 9 Google Cloud certifications in the Top 100 — ranked 3rd among them.
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