Starting Salary
⌀ 52.668 €
Starting salary in the field of machine learning
The starting salary in the field of machine learning is on average 52.668 € gross per year. This corresponds to a monthly salary of 4.389 € gross.
Your chances of a higher salary increase with your work experience, as you can often take on more responsibility.
With several years of work experience in the field of machine learning, your average salary is 72.500 € gross per year.
With
Experience
⌀ 72.500 €
Similar Interesting Fields
As a professional in the field of machine learning, you have numerous specialization opportunities and related fields, such as
Deep Learning , AI , big data ,for which you could also be qualified with your knowledge.
| Ø Gehalt | Jobs | |
|---|---|---|
| Deep Learning | 52,762€ | Current jobs |
| AI | 57,242€ | Current jobs |
| big data | 58,225€ | Current jobs |
| data mining | 67,151€ | Current jobs |
| Python | 55,807€ | Current jobs |
| data science | 55,620€ | Current jobs |
Show more fields
Salary in the field of machine learning
Degree vs. Apprenticeship
Whether you pursue a degree or an apprenticeship not only determines the positions you may qualify for in a company but also significantly impacts your salary. Typically, with an academic degree, your starting salary is higher than with a vocational training. However, your salary is not set in stone - through work experience and additional qualifications, you always have the opportunity to advance and increase your salary further.
The type of degree you obtain can also affect your salary. The average salary for master's graduates is higher than for bachelor's graduates, and with a master's degree, you have better chances of quickly attaining a position with personnel responsibility. However, salary alone should never be your sole decision criterion: choose the qualification that best fits your interests and carefully consider whether you prefer to earn money sooner or continue studying a bit longer.
With a completed apprenticeship, you can expect an average annual salary of 49.875€ in the field of machine learning. If you have an academic degree in the field of machine learning, your average salary is 53.659€.
Academic degree
ø 53.659 €
Study vs. Training
Non-Academic degree (Apprenticeship, Vocational Education, Technician, ...)
ø 49.875 €
Salary in the field of machine learning
by City
Where do you earn the most in the field of machine learning? Currently, you earn the most in the field of machine learning in Coburg with an average salary of 76.368€ per year.
In general, the salary in the field of machine learning is usually higher in large cities than in small towns. Large cities and metropolises often offer higher salaries, although the cost of living is also higher.
In which city you can earn particularly high salaries in the field of machine learning, you will find out in this table:
| Ø Gehalt | Gehaltsspanne | |
|---|---|---|
| Berlin | 52,762€ | 51,228 € - 61,790€ |
| Hamburg | 49,654€ | 44,443 € - 55,463€ |
| München | 67,122€ | 57,047 € - 72,184€ |
| Köln | 63,215€ | 51,103 € - 76,172€ |
| Frankfurt am Main | 57,242€ | 53,265 € - 70,000€ |
| Düsseldorf | 71,702€ | 51,103 € - 76,172€ |
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Salary in the field of machine learning
by Federal State
In which region do you earn the most in the field of machine learning? Currently, you earn the most in the field of machine learning in Bavaria with an average salary of 67.372€ per year.
In Germany, there are still sometimes differences in salaries between western and eastern federal states.
We provide you with an overview of the salaries you can expect in the field of machine learning in different federal states.
| Ø Gehalt | Gehaltsspanne | |
|---|---|---|
| Bavaria | 67,372€ | 61,094 € - 76,368€ |
| Hesse | 57,242€ | 53,111 € - 63,396€ |
| Lower Saxony | 52,800€ | 52,207 € - 61,560€ |
| North Rhine-Westphalia | 55,002€ | 52,206 € - 73,755€ |
| Thuringia | 45,945€ | 43,212 € - 52,821€ |
| Rhineland-Palatinate | 52,207€ | 48,322 € - 52,762€ |
What factors influence your salary in the field of machine learning?
There are several career factors that influence your salary in the field of machine learning. Average salary tends to increase with the size of the company you work for. In large corporations, salaries are often higher compared to start-ups and small companies. However, in smaller companies, you may have the opportunity to advance more quickly on the career ladder.
One of the key factors affecting your salary in the field of machine learning is your work experience. With each year on the job, you gain valuable knowledge and experience that become increasingly better compensated over time. In just a few years, you transition from a beginner to a young professional. After more than 10 years of experience, you can then be considered a professional. With increasing experience, you also have the opportunity to move into positions with personnel responsibility. A position with personnel responsibility is generally paid significantly better, and there are further factors influencing your salary here as well. For example, a department head with personnel responsibility for over 20 employees earns more than a group leader responsible for 5 employees.
Your educational qualification, the city, and the federal state where you work are also factors that influence your salary.
machine learning - Latest salary data 2024
How up-to-date is the salary data in the machine learning area?
At jobvector, we attach great importance to always providing you with up-to-date and accurate salary information. Salaries in the machine learning sector have changed significantly over the last few years due to factors such as rising wage levels, inflation, new legal regulations, bonus payments and tax adjustments. It is therefore particularly important to us to present up-to-date data that gives you as an applicant a good and realistic basis for the next salary negotiation.
The salary information on jobvector is consistently kept up to date and is never more than three years old. This up-to-dateness guarantees you a precise and clearly structured overview of the salary structures in the machine learning sector, and effectively supports you in preparing for your salary negotiations.
