Software Engineer Machine Learning
kr 955 717 (NOK)/yr
kr 459,48 (NOK)/hr
kr 43 867 (NOK)/yr
The average software engineer machine learning gross salary in Moss, Norway is kr 955 717 or an equivalent hourly rate of kr 459. This is 5% lower (-kr 54 113) than the average software engineer machine learning salary in Norway. In addition, they earn an average bonus of kr 43 867. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Moss, Norway. An entry level software engineer machine learning (1-3 years of experience) earns an average salary of kr 668 922. On the other end, a senior level software engineer machine learning (8+ years of experience) earns an average salary of kr 1 084 169.
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kr 1 095 718 (NOK)
15 %
Based on our compensation data, the estimated salary potential for Software Engineer Machine Learning will increase 15 % over 5 years.
This chart displays the highest level of education for:
Software Engineer Machine Learning, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Moss, Norway is 5% less than the average cost of living in Norway. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageMoss is a coastal town and a municipality in Østfold county, Norway. The administrative centre of the municipality is the town of Moss. The city of Moss was established as a municipality on 1 January 1838 (see formannskapsdistrikt) and City in 1720. The rural municipality of Jeløy was merged with the city on 1 July 1943. The former municipality of Rygge was merged into it on 1 January 2020. Its administrative district covers areas east of the town, such as the island of Dillingøy in the lake Va
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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