Machine Learning Engineer
1 048 918 ₴ (UAH)/yr
504,29 ₴ (UAH)/hr
48 145 ₴ (UAH)/yr
The average machine learning engineer gross salary in Kharkiv, Ukraine is 1 048 918 ₴ or an equivalent hourly rate of 504 ₴. This is 3% lower (-31 692 ₴) than the average machine learning engineer salary in Ukraine. In addition, they earn an average bonus of 48 145 ₴. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Kharkiv, Ukraine. An entry level machine learning engineer (1-3 years of experience) earns an average salary of 746 128 ₴. On the other end, a senior level machine learning engineer (8+ years of experience) earns an average salary of 1 219 206 ₴.
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1 630 241 ₴ (UAH)
55 %
Based on our compensation data, the estimated salary potential for Machine Learning Engineer will increase 55 % 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 Kharkiv, Ukraine is 4% less than the average cost of living in Ukraine. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageKharkiv, also known as Kharkov, is the second-largest city in Ukraine. Located in the northeast of the country, it is the largest city of the historic region of Sloboda Ukraine. Kharkiv is the administrative center of Kharkiv Oblast and Kharkiv Raion. Prior to the Russian invasion of Ukraine in early 2022, it had an estimated population of 1,421,125. Founded in 1654 as a Cossack fortress, by late 19th century Kharkiv had developed within the Russian Empire as a major commercial and industrial ce
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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