Machine Learning Engineer Salary in Netherlands during 2024

πŸ’° The median Machine Learning Engineer Salary in Netherlands during 2024 is USD 118,333

✏️ This salary info is based on 8 individual salaries reported during 2024

Submit your salary Download the data

Salary details

The average Machine Learning Engineer salary lies between USD 88,640 and USD 138,888 in the Netherlands. 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.

Job title
Machine Learning Engineer
Experience
all levels
Region
Netherlands
Salary year
2024
Sample size
8
Top 10%
$ 201,111
Top 25%
$ 138,888
Median
$ 118,333
Bottom 25%
$ 88,640
Bottom 10%
$ 77,777

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:

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 | 5381 jobs Python | 4235 jobs Engineering | 4011 jobs Computer Science | 3346 jobs ML models | 2896 jobs PyTorch | 2755 jobs TensorFlow | 2540 jobs Research | 2165 jobs Deep Learning | 2157 jobs Pipelines | 2096 jobs AWS | 1891 jobs NLP | 1840 jobs Statistics | 1727 jobs LLMs | 1698 jobs Architecture | 1583 jobs Testing | 1382 jobs Spark | 1282 jobs SQL | 1240 jobs Mathematics | 1192 jobs PhD | 1166 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 | 4693 jobs Health care | 2712 jobs Equity / stock options | 2220 jobs Flex hours | 1606 jobs Flex vacation | 1572 jobs Startup environment | 1400 jobs Parental leave | 1354 jobs Competitive pay | 1310 jobs Salary bonus | 1294 jobs Medical leave | 1272 jobs Insurance | 1229 jobs Team events | 958 jobs 401(k) matching | 871 jobs Conferences | 655 jobs Flexible spending account | 593 jobs Wellness | 542 jobs Home office stipend | 432 jobs Transparency | 292 jobs Relocation support | 255 jobs Unlimited paid time off | 173 jobs

Salary Composition for Machine Learning Engineers in the Netherlands

The salary for a Machine Learning Engineer in the Netherlands typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the most substantial component, often accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company’s performance and individual achievements, usually ranging from 10-20% of the total salary. Additional remuneration might include stock options, especially in tech startups or large tech companies, and benefits such as health insurance, retirement plans, and transportation allowances. The composition can vary based on the region, with Amsterdam often offering higher salaries due to the cost of living, and industry, with tech and finance sectors typically providing more competitive packages. Larger companies might offer more comprehensive benefits, while startups might compensate with equity options.

Steps to Increase Salary from a Machine Learning Engineer Position

To increase your salary from a Machine Learning Engineer position, consider the following strategies:

  • Skill Enhancement: Continuously update your skills with the latest technologies and tools in AI/ML. Specializing in high-demand 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 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 industry trends.
  • Leadership Roles: Aim for roles with more responsibility, such as leading a team or managing projects, which often come with higher pay.
  • Switching Companies: Sometimes, moving to a different company can result in a significant salary increase, especially if you have gained substantial experience and skills.

Educational Requirements for Machine Learning Engineers

Most Machine Learning Engineer positions require at least a bachelor's degree in computer science, data science, mathematics, statistics, or a related field. However, a master's degree is often preferred and can be a significant advantage. Advanced degrees provide a deeper understanding of complex algorithms and data structures, which are crucial in this field. Additionally, coursework in machine learning, artificial intelligence, and data analysis is highly beneficial.

Helpful Certifications for Machine Learning Engineers

While not always mandatory, certifications can enhance your resume and demonstrate your expertise. Some valuable certifications include:

  • Google Professional Machine Learning Engineer: Validates your ability to design, build, and productionize ML models.
  • AWS Certified Machine Learning – Specialty: Demonstrates your skills in building, training, tuning, and deploying ML models on AWS.
  • Microsoft Certified: Azure AI Engineer Associate: Focuses on using Azure services to build and deploy AI solutions.
  • TensorFlow Developer Certificate: Shows proficiency in using TensorFlow to build and train models.

Experience Requirements for Machine Learning Engineers

Typically, employers look for candidates with at least 2-5 years of experience in related fields. This experience should include hands-on work with machine learning models, data analysis, and programming. Experience with specific tools and frameworks like TensorFlow, PyTorch, or scikit-learn is often required. Additionally, experience in software development and a strong understanding of algorithms and data structures are crucial.

Related salaries

Machine Learning Engineer @ $ 166,600 (global) - Mid-level / Intermediate Details
Machine Learning Engineer @ $ 190,000 (global) Details
Machine Learning Engineer @ $ 200,000 (global) - Senior-level / Expert Details
Machine Learning Engineer @ $ 139,650 (global) - Entry-level / Junior Details
Machine Learning Engineer @ $ 220,000 (global) - Executive-level / Director Details
Machine Learning Engineer @ $ 139,875 (United States) - Entry-level / Junior Details
Machine Learning Engineer @ $ 232,750 (United States) - Executive-level / Director Details
Machine Learning Engineer @ $ 194,000 (United States) Details
Machine Learning Engineer @ $ 171,300 (United States) - Mid-level / Intermediate Details
Machine Learning Engineer @ $ 204,000 (United States) - Senior-level / Expert Details
Machine Learning Engineer @ $ 142,375 (United Kingdom) Details
Machine Learning Engineer @ $ 136,875 (United Kingdom) - Mid-level / Intermediate Details
Machine Learning Engineer @ $ 144,312 (United Kingdom) - Senior-level / Expert Details
Machine Learning Engineer @ $ 118,055 (Spain) Details
Machine Learning Engineer @ $ 173,888 (Germany) - Senior-level / Expert Details
Machine Learning Engineer @ $ 165,555 (Germany) Details
Machine Learning Engineer @ $ 160,000 (Canada) - Executive-level / Director Details
Machine Learning Engineer @ $ 139,321 (Canada) - Mid-level / Intermediate Details
Machine Learning Engineer @ $ 173,300 (Canada) - Senior-level / Expert Details
Machine Learning Engineer @ $ 150,950 (Canada) - Entry-level / Junior Details
Machine Learning Engineer @ $ 159,000 (Canada) Details
Machine Learning Engineer @ $ 190,000 (Australia) Details

Want to contribute?

πŸ“ Submit your salary info

Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.

Go to salary survey

πŸ“’ Share our salary survey

Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.

πŸ’Ύ Download the data

All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.

Go to download page

πŸš€ Search for jobs & talent

If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.

Go to frontpage

About this project

We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.

Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.