Machine Learning Engineer
38.250 kn (HRK)/yr
18,39 kn (HRK)/hr
1.756 kn (HRK)/yr
The average machine learning engineer gross salary in Zagreb, Croatia is 38.250 kn or an equivalent hourly rate of 18 kn. This is 1% higher (+221 kn) than the average machine learning engineer salary in Croatia. In addition, they earn an average bonus of 1.756 kn. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Zagreb, Croatia. An entry level machine learning engineer (1-3 years of experience) earns an average salary of 26.688 kn. On the other end, a senior level machine learning engineer (8+ years of experience) earns an average salary of 43.143 kn.
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51.432 kn (HRK)
34 %
Based on our compensation data, the estimated salary potential for Machine Learning Engineer will increase 34 % over 5 years.
This chart displays the highest level of education for:
Machine Learning Engineer, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salary- Python Certification
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The cost of living in Zagreb, Croatia is 0% more than the average cost of living in Croatia. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageZagreb ( ZAH-greb; Croatian: [zǎːɡreb] ) is the capital and largest city of Croatia. It is in the north of the country, along the Sava river, at the southern slopes of the Medvednica mountain. Zagreb stands near the international border between Croatia and Slovenia at an elevation of approximately 158 m (518 ft) above sea level. At the 2021 census, the city itself had a population of 767,131, while the population of Zagreb metropolitan area is 1,086,528. The oldest settlement in the vicinity of
Sourced from WikipediaERI'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.
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