Machine Learning Engineer Salary in Germany during 2023

Salary details

The average Machine Learning Engineer salary lies between USD 121,200 and USD 275,000 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 2023 and the number of open jobs that where associated with them during that period:

Machine Learning | 1793 jobs Python | 1481 jobs Engineering | 1356 jobs Computer Science | 1038 jobs ML models | 1017 jobs PyTorch | 853 jobs TensorFlow | 782 jobs Research | 749 jobs Deep Learning | 730 jobs Pipelines | 703 jobs AWS | 651 jobs NLP | 610 jobs Statistics | 559 jobs Testing | 539 jobs Architecture | 529 jobs Mathematics | 462 jobs Java | 462 jobs SQL | 449 jobs Spark | 423 jobs GCP | 418 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 Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 1495 jobs Health care | 752 jobs Flex hours | 644 jobs Equity / stock options | 631 jobs Startup environment | 531 jobs Flex vacation | 524 jobs Salary bonus | 479 jobs Competitive pay | 419 jobs Team events | 401 jobs Parental leave | 391 jobs Insurance | 339 jobs Medical leave | 322 jobs Wellness | 256 jobs 401(k) matching | 195 jobs Home office stipend | 176 jobs Conferences | 134 jobs Unlimited paid time off | 118 jobs Relocation support | 92 jobs Signing bonus | 84 jobs Flexible spending account | 83 jobs

Salary Composition

In Germany, the salary composition for a Machine Learning Engineer can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into three main components: a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits.

• Fixed Base Salary: This is the guaranteed annual income and usually constitutes the largest portion of the total compensation package. In tech hubs like Berlin or Munich, the base salary might be higher due to the cost of living and competition for talent.

• Performance-Based Bonus: Many companies offer bonuses that are tied to individual or company performance. These can range from 10% to 20% of the base salary, depending on the company's policy and the employee's role.

• Additional Remuneration: This can include stock options, especially in startups or tech companies, as well as benefits like health insurance, retirement plans, and transportation allowances. Larger companies might offer more comprehensive benefits packages.

Increasing Salary

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

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging areas of AI/ML like deep learning, natural language processing, or reinforcement learning.

• Advanced Education: Pursuing a master's or Ph.D. in a relevant field can open up higher-paying opportunities and leadership roles.

• Networking: Engage with professional networks and communities. Attending conferences, meetups, and workshops can lead to new opportunities and insights into higher-paying roles.

• Industry Shift: Transitioning to industries that pay higher salaries for ML engineers, such as finance or healthcare, can be beneficial.

• 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 a related field such as Computer Science, Mathematics, Statistics, or Engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that involve research or advanced algorithm development.

Helpful Certifications

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

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

These certifications can 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 data science roles. Experience with programming languages like Python or R, familiarity with ML frameworks such as TensorFlow or PyTorch, and a strong understanding of data preprocessing and model evaluation are crucial. Experience in deploying models to production and working with cloud platforms can also be highly beneficial.

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