Machine Learning Engineer Salary in Germany during 2024

Salary details

The average Machine Learning Engineer salary lies between USD 133,333 and USD 208,888 in Germany. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Machine Learning Engineer roles

The three most common job tag items assiciated with Machine Learning Engineer job listings are Machine Learning, Python and Engineering. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Machine Learning | 5361 jobs Python | 4217 jobs Engineering | 3993 jobs Computer Science | 3331 jobs ML models | 2887 jobs PyTorch | 2746 jobs TensorFlow | 2533 jobs Research | 2156 jobs Deep Learning | 2149 jobs Pipelines | 2084 jobs AWS | 1882 jobs NLP | 1831 jobs Statistics | 1720 jobs LLMs | 1688 jobs Architecture | 1575 jobs Testing | 1377 jobs Spark | 1277 jobs SQL | 1237 jobs Mathematics | 1190 jobs PhD | 1162 jobs

Top 20 Job Perks/Benefits for Machine Learning Engineer roles

The three most common job benefits and perks assiciated with Machine Learning Engineer job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 4675 jobs Health care | 2703 jobs Equity / stock options | 2215 jobs Flex hours | 1600 jobs Flex vacation | 1568 jobs Startup environment | 1395 jobs Parental leave | 1349 jobs Competitive pay | 1308 jobs Salary bonus | 1291 jobs Medical leave | 1268 jobs Insurance | 1222 jobs Team events | 956 jobs 401(k) matching | 869 jobs Conferences | 651 jobs Flexible spending account | 592 jobs Wellness | 539 jobs Home office stipend | 431 jobs Transparency | 291 jobs Relocation support | 252 jobs Unlimited paid time off | 173 jobs

Salary Composition for Machine Learning Engineers in Germany

The salary for a Machine Learning Engineer in Germany typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The fixed salary is the largest component and varies significantly based on the region, industry, and company size. For instance, tech hubs like Berlin and Munich may offer higher base salaries compared to smaller cities. In industries such as finance or healthcare, where AI/ML applications are critical, salaries might be more competitive. Larger companies or well-funded startups often provide additional incentives like stock options, which can be a significant part of the total compensation package.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's or Ph.D. in a relevant field can open doors to higher-paying roles.
• Leadership Roles: Transitioning into roles such as a team lead or project manager can increase your earning potential.
• Networking: Engage with professional networks and communities to learn about higher-paying opportunities and industry trends.
• Negotiation: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements

Most Machine Learning Engineer positions require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles involving complex research or development tasks. These advanced degrees provide a deeper understanding of algorithms, data structures, and statistical methods, which are crucial for developing sophisticated machine learning models.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• TensorFlow Developer Certificate

These certifications validate your skills in specific platforms and tools, making you more attractive to potential employers.

Required Experience

Typically, employers look for candidates with 2-5 years of experience in machine learning or related fields. This experience should include hands-on work with machine learning models, data preprocessing, and software development. Experience in deploying models to production and working with large datasets is also highly valued. Internships, research projects, or contributions to open-source projects can be beneficial for those with less formal work experience.

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