VP Machine Learning

72.177 € (EUR)/yr

34,70 € (EUR)/hr

13.382 € (EUR)/yr

The average vp machine learning gross salary in Greece is 72.177 € or an equivalent hourly rate of 35 €. In addition, they earn an average bonus of 13.382 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Greece. An entry level vp machine learning (1-3 years of experience) earns an average salary of 49.482 €. On the other end, a senior level vp machine learning (8+ years of experience) earns an average salary of 89.022 €.

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Salary Potential

80.059 € (EUR)

11 %

Based on our compensation data, the estimated salary potential for VP Machine Learning will increase 11 % over 5 years.

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Country Overview

Greece

Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Greece, officially the Hellenic Republic, is a country in Southeast Europe. Located on the southern tip of the Balkan peninsula, it shares land borders with Albania to the northwest, North Macedonia and Bulgaria to the north, and Turkey to the east. The Aegean Sea lies to the east of the mainland, the Ionian Sea to the west, and the Sea of Crete and the Mediterranean Sea to the south. Greece has the longest coastline on the Mediterranean basin, spanning thousands of islands and nine traditional

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Disclaimer
This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.

Job Description
Champions the strategic development and operational integration of machine learning solutions across business functions. Oversees teams responsible for model design, deployment, and maintenance, ensuring scalability and reliability. Incorporates machine learning initiatives into organizational goals, identifying opportunities for data-driven transformation. Establishes technical standards, governance practices, and performance benchmarks for modeling workflows. Advises executive leadership on emerging trends, resource planning, and cross-functional... integration of predictive systems.Read More
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