Salary in the field of machine learning in Germany

What does one earn in the field of machine learning?

Employees in the field of machine learning earn an average of 53.265€ per year in Germany. This corresponds to a gross monthly salary of 4.439€. The salary for professionals in the field of machine learning ranges between 52.206€ and 67.122€.

Nationwide, there are

10 machine learning jobs on jobvector.de.

Average Salary

53.265 € gross/Year
To give you a realistic assessment of your potential income, we use the 25th and 75th percentiles of our salary data for salary values (min, max). This improves the quality of our salary information by excluding distorting (extremely high and low) salaries.
min. 52.206 €

Gross salary/Year

max. 67.122 €

Gross salary/Year

Year Month
Demand in the job market for positions in the field of machine learning is currently high, and many companies are looking for suitable professionals. Among the employers currently seeking applicants in the field of machine learning are:

Starting salary in the field of machine learning

The starting salary in the field of machine learning is on average 52.715 € gross per year. This corresponds to a monthly salary of 4.393 € 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 74.309 € gross per year.

Starting Salary

⌀ 52.715 €

With
Experience

⌀ 74.309 €

Job vacancies in the machine learning field

All machine learning Jobs

Similar Interesting Fields

As a professional in the field of machine learning, you have numerous specialization opportunities and related fields, such as

ML , Deep Learning , Artificial Intelligence ,

for which you could also be qualified with your knowledge.

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 50.362€ in the field of machine learning. If you have an academic degree in the field of machine learning, your average salary is 53.265€.

Academic degree

ø 53.265 €

Study vs. Training

Non-Academic degree (Apprenticeship, Vocational Education, Technician, ...)

ø 50.362 €

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€
München 67,247€ 55,023 € - 74,276€
Köln 58,322€ 50,000 € - 74,844€
Frankfurt am Main 57,242€ 53,265 € - 70,000€
Düsseldorf 61,954€ 50,551 € - 76,836€
Essen 52,207€ 50,000 € - 52,207€
Duisburg 52,207€ 50,000 € - 52,207€
Wuppertal 52,207€ 50,000 € - 76,172€
Bonn 57,782€ 51,445 € - 61,991€
Mannheim 54,362€ 52,932 € - 54,362€
Wiesbaden 52,762€ 48,322 € - 57,242€
Mönchengladbach 63,525€ 50,551 € - 79,517€
Krefeld 52,207€ 51,103 € - 78,845€
Mainz 55,253€ 49,060 € - 57,242€
Oberhausen 52,207€ 50,000 € - 52,207€
Potsdam 52,762€ 51,228 € - 61,790€
Ludwigshafen am Rhein 54,362€ 52,932 € - 54,362€
Mülheim an der Ruhr 52,207€ 50,000 € - 57,732€
Leverkusen 71,702€ 50,000 € - 77,500€
Heidelberg 54,362€ 52,932 € - 54,362€
Darmstadt 57,242€ 50,596 € - 66,434€
Solingen 52,207€ 50,000 € - 74,844€
Neuss 61,954€ 50,551 € - 76,836€
Offenbach am Main 57,242€ 53,265 € - 70,000€
Pforzheim 50,812€ 49,656 € - 58,580€
Bottrop 52,207€ 50,000 € - 52,207€
Bergisch Gladbach 57,782€ 50,000 € - 74,442€
Jena 43,603€ 42,822 € - 50,644€
Remscheid 61,954€ 50,000 € - 75,508€
Moers 52,207€ 50,551 € - 76,836€
Show more cities

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 € - 69,623€
Lower Saxony 52,800€ 52,207 € - 61,560€
North Rhine-Westphalia 52,484€ 51,654 € - 72,353€
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.

Further job vacancies in the machine learning field

All machine learning Jobs

The salary information presented here is based on salary data provided by employers in job postings as well as surveys of over 10,000 professionals in the STEM field conducted by jobvector.

These professionals bring a wealth of experience and expertise from various companies and positions, making the data a comprehensive and meaningful source for average values.

It is important to emphasize that these salary figures represent averages and cannot be directly attributed to individual job postings. However, they provide valuable guidance and insights into salary structures in the STEM field for both job seekers and employers.