Machine Learning Engineer Salary in Spain during 2024
💰 The median Machine Learning Engineer Salary in Spain during 2024 is USD 118,055
✏️ This salary info is based on 10 individual salaries reported during 2024
Salary details
The average Machine Learning Engineer salary lies between USD 79,666 and USD 140,000 in Spain. 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
- Spain
- Salary year
- 2024
- Sample size
- 10
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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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 | 5396 jobs Python | 4247 jobs Engineering | 4024 jobs Computer Science | 3353 jobs ML models | 2905 jobs PyTorch | 2758 jobs TensorFlow | 2542 jobs Research | 2169 jobs Deep Learning | 2159 jobs Pipelines | 2102 jobs AWS | 1894 jobs NLP | 1842 jobs Statistics | 1732 jobs LLMs | 1700 jobs Architecture | 1589 jobs Testing | 1386 jobs Spark | 1284 jobs SQL | 1246 jobs Mathematics | 1195 jobs PhD | 1167 jobsTop 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 | 4707 jobs Health care | 2717 jobs Equity / stock options | 2230 jobs Flex hours | 1610 jobs Flex vacation | 1574 jobs Startup environment | 1405 jobs Parental leave | 1357 jobs Competitive pay | 1312 jobs Salary bonus | 1295 jobs Medical leave | 1275 jobs Insurance | 1234 jobs Team events | 960 jobs 401(k) matching | 872 jobs Conferences | 658 jobs Flexible spending account | 594 jobs Wellness | 542 jobs Home office stipend | 432 jobs Transparency | 293 jobs Relocation support | 255 jobs Unlimited paid time off | 174 jobsSalary Composition for Machine Learning Engineers in Spain
The salary for a Machine Learning Engineer in Spain 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 significant component, often accounting for 70-80% of the total compensation package. Bonuses can vary widely depending on the company and industry, ranging from 10-20% of the base salary. In tech companies or startups, additional remuneration might include stock options or equity, which can be a significant part of the compensation, especially in high-growth companies. Larger companies might offer more comprehensive benefits packages, including health insurance, retirement plans, and other perks, which can add substantial value to the overall compensation.
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 methodologies 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 related 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 the new company values your specific skill set more highly.
Educational Requirements for Machine Learning Engineers
Most Machine Learning Engineer positions require at least a bachelor's degree in computer science, mathematics, statistics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles involving complex problem-solving and research. These advanced degrees provide a deeper understanding of machine learning algorithms, data analysis, and statistical modeling, which are crucial for developing effective AI solutions.
Helpful Certifications for Machine Learning Engineers
While not always required, certain certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:
- Google Professional Machine Learning Engineer: Validates your ability to design, build, and productionize ML models on Google Cloud.
- AWS Certified Machine Learning – Specialty: Demonstrates your expertise in building, training, tuning, and deploying machine learning 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 machine learning models.
Experience Requirements for Machine Learning Engineers
Typically, employers look for candidates with at least 2-5 years of experience in machine learning or a related field. This experience should include hands-on work with machine learning algorithms, data preprocessing, model training, and deployment. Experience with programming languages such as Python or R, and familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn, is also essential.
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