Companies in Germany using Machine Learning

206 companies headquartered in Germany list Machine Learning as a requirement in 977 open roles. Most of those roles are in AI and machine learning, early careers and data science teams. Machine Learning most often appears next to Python, CI/CD, AWS, SQL and JavaScript. Roles that need it and state the pay sit at $145k a year in the middle.

From the requirements of live job postingsRebuilt 8 Oct 2026
companies hiring
206
open roles need it
977
median stated pay
$145k

Companies with the most open Machine Learning roles

25 of 206 · the full list is in the API
CompanySizeOpen rolesTeams hiringMedian stated pay
Bosch5000+96AI and machine learning, Early careers, Industrial engineering$175k
Allianz1001-500086Finance, Field and service, AI and machine learning$67k
SAP1001-500081Data science, AI and machine learning, Enterprise applications$236k
Fraunhofer-Gesellschaft1001-500040Early careers, Science and research, AI and machine learning—
Infineon Technologies1001-500032Industrial engineering, Early careers, Analytics—
Deutsche Bank1001-500025AI and machine learning, Operations, Analytics—
Mercedes-Benz1001-500021Early careers, AI and machine learning, Backend engineering—
Merck Group5000+21AI and machine learning, DevOps and infrastructure, Industrial engineering$172k
Bayer1001-500020AI and machine learning, Data science, Engineering leadership$135k
Helsing1001-500017AI and machine learning, Backend engineering, DevOps and infrastructure—
Zeiss5000+17Early careers, Industrial engineering, AI and machine learning—
Alpine Eagle1-1015Industrial engineering, HR and recruiting, Management—
Munich Re1001-500014Data science, Early careers, Backend engineering$98k
HelloFresh Nordics1001-500013Data science, AI and machine learning, Marketing$95k
Ultra Tendency201-50013Solutions engineering, Data science—
Siemens1001-500012AI and machine learning, Backend engineering, Data science$197k
BMW Group1001-500012Early careers, AI and machine learning, Data science$191k
Adesso1001-500011Data science, Enterprise applications, AI and machine learning$82k
Taktile501-100010Solutions engineering, AI and machine learning, Engineering leadership$220k
Porsche1001-50009Early careers—
Zalando1001-50008Backend engineering, Product management, AI and machine learning—
Siemens Healthineers1001-50008AI and machine learning, Backend engineering, Early careers$153k
Constructorlabs8AI and machine learning, Early careers, Science and research—
Delivery Hero5000+7Data science, AI and machine learning—
About You1001-50007Backend engineering$87k

Teams hiring for Machine Learning

AI and machine learning237
Early careers179
Data science165
Backend engineering51
Industrial engineering37
Solutions engineering32
Finance29
Engineering leadership28

Get all 206 companies as a list

Name, website, size, industry and headquarters of every company that requires Machine Learning, through the API (company.getList with technology=Machine Learning and country=DE). 206 companies × 0.02 credits = 4.12 credits ($0.41).

Questions

How do you know a company uses Machine Learning?

A company counts when at least one of its open job postings lists Machine Learning as a requirement, not as a nice-to-have. The list is rebuilt every night from the postings on the employers' own careers boards. Staffing agencies, job republishers and the maker of Machine Learning itself are left out.

Which teams hire for Machine Learning?

Of the 977 open roles that require it, most are in AI and machine learning (237), early careers (179) and data science (165).

What do Machine Learning roles pay?

123 of the 977 roles state the pay. The middle of their posted ranges is $145k a year, converted to US dollars.

Can I download this list?

Yes, through the API: company.getList with technology=Machine Learning and country=DE returns each company's name, website, size, industry and headquarters for 0.02 credits a row (a credit is $0.10). New accounts start with 30 free credits.

Source: the requirements of 977 live job postings on employers' careers boardsUpdated 8 Oct 2026MethodologyJSONCC BY-SA 4.0