Machine Learning is a rapidly growing field in the tech industry, that has created many job opportunities for professionals with the right skills and experience. One such job is that of a Machine Learning engineer, who is responsible for designing and implementing Machine Learning models and systems. In this article, we will discuss the role of a Machine Learning engineer, the Machine Learning engineer salary, factors that influence their pay, and how to improve the salary of a Machine Learning engineer.!
Who is a Machine Learning Engineer?
A Machine Learning engineer is a professional who specializes in developing and deploying Machine Learning models to solve complex problems. They work with data scientists to design and implement algorithms to analyze large datasets and extract insights.
A Machine Learning engineer needs to have a solid understanding of programming, statistics, and Machine Learning algorithms. They must be able to work with large datasets and have excellent problem-solving skills.
Pursuing a degree in computer science, data science, or a related field can be a great starting point. However, there are also many online resources available, like the best online Data Science courses, which can help one gain the necessary skills and knowledge to become a Machine Learning engineer.
Machine Learning Engineer Salary in 2024?
Machine Learning Engineer Salary: Based on Experience
The ML engineer salary varies based on experience. The salaries are mentioned below.
Beginner
The junior machine learning engineer salary can vary based on their experience. An entry-level Machine Learning engineer salary is approximately $70,563 per year.
Intermediate
An average lead Machine Learning engineer salary with 1-4 years of experience is around $109,133 per year (Glassdoor).
Advanced
A senior Machine Learning engineer salary with more than 5 years of experience is approximately $168,786 per year (Glassdoor).
Machine Learning Engineer Salary: Based on Location
The Machine Learning engineer salary based on location are as follows:
India
The salary of a machine learning engineer in India can vary based on several factors, including the individual's experience, skills, location, and the organization they work for. However, we have categorized them based on cities, top companies and current industry standards and trends.
Top Cities:
- Noida: ₹10,93,951
- Mumbai: ₹10,07,009
- Ahmedabad: ₹4,66,695
- Bengaluru: ₹10,36,301
Top Companies:
- PRISM: ₹23,27,853
- Accenture: ₹13,33,370
- Tiger Analytics: ₹13,81,633
United States of America
In the United States, the salary of a machine learning engineer can vary significantly based on factors such as experience, location, industry, and the company's size. It's worth mentioning that these figures are approximate and can vary depending on factors such as the engineer's skill set, the company's location (e.g., Silicon Valley tends to have higher salaries), and the industry (e.g., finance or healthcare may offer higher compensation). Additionally, machine learning engineers may also receive additional benefits such as bonuses, stock options, and other incentives, which can further enhance their overall compensation package.
Top Cities:
- New York: $189,275
- San Francisco: $169,519
- Pittsburgh: $161,824
- St. Louis: $137,381
Top Companies:
- eBay: $317,642
- Meta: $188,096
- DoorDash: $187,658
United Kingdom
In the United Kingdom, the salary of a machine learning engineer can vary based on factors such as experience, location, industry, and the size of the company. It's important to note that these figures are approximate and can vary depending on factors such as the engineer's skill set, the company's location (e.g., London tends to have higher salaries), and the industry (e.g., finance or technology may offer higher compensation).
Top Cities:
- London - £70,286
- Manchester - £47,068
- Oxford - £56,479
- Cambridge - £68,022
Top Companies:
- Meta - £93,053
- Client Server - £83,342
- Deliveroo - £92,561
Australia
The salary of a machine learning engineer in Australia can be influenced by various factors, such as the individual's experience, skills, location, and the organization they are employed with. However, we have provided a breakdown based on factors like cities, top companies, and prevailing industry standards and trends.
Top Cities:
- Sydney - $145,492
- Brisbane - $112,307
- Melbourne - $136,530
Top Companies:
- Canva - $138,418
- CSIRO - $105,793
Canada
The salary of a machine learning engineer in Canada can vary based on factors such as experience, skills, location, and the industry they work in. It's important to note that these figures are approximate and can vary depending on factors such as the engineer's skill set, the company's location (e.g., Toronto, Vancouver), and the industry (e.g., technology, finance).
Top Cities
- Vancouver - $127,031
- Waterloo - $118,853
- Toronto - $120,763
- Montréal - $92,590
Top Companies
- Workday - $126,149
- Intact - $145,611
- SkyHive Technologies Inc. - $104,118
Singapore
The salary of a machine learning engineer in Singapore can vary depending on factors such as experience, skills, industry, and the company they work for. It's important to note that these figures are approximate and can vary based on individual qualifications, the company's size and reputation, and the demand for machine learning skills in the Singaporean job market.
Top Cities:
- Raffles - $10,461
- Woodlands - $8,079
- Ang Mo Kio - $5,939
- Outram - $9,141
Top Companies:
- Meta - $14,966
- Standard Chartered Bank - $13,853
- Google - $14,380
- TikTok - $11,142
Factors Affecting Machine Learning Engineer Salary
The Machine Learning salary can be influenced by various factors. Let us understand all factors that can impact a Machine Learning expert salary.
Location
The location of a Machine Learning engineer can significantly impact a Machine Learning engineer salary per month. Engineers in the United States and the United Kingdom typically earn more than those in other countries. This is due to the higher cost of living in these countries and the greater demand for Machine Learning engineers in these markets.
For example, the average Machine Learning engineer salary in the USA is $155,206 per year (Indeed), while it is ₹891,303 per year (Indeed) in India.
Industry/Employer/Company
The industry can impact the average Machine Learning engineer salary. For instance, Machine Learning engineers working in the finance industry are likely to earn more than those working in the retail industry.
Similarly, the employer or company can also influence the salary of a Machine Learning engineer. For example, eBay pays its Machine Learning engineers an average salary of $317,642 per year (Indeed), while Meta pays its Machine Learning engineers an average salary of $188,096 per year.
Experience
The experience of a Machine Learning engineer can also impact their ML engineer salary. As Machine Learning engineers gain experience, their salary is likely to increase. According to Glassdoor, a Machine Learning engineer with less than one year of experience can expect to earn an average salary of $70,563 per year, while a Machine Learning engineer with 10-15 years of experience can expect to earn an average salary of $168,786 per year.
Demand and Supply
The demand and supply of Machine Learning engineers can impact Machine Learning engineer salaries. The demand for Machine Learning engineers is currently high and is expected to continue to grow in the future. The supply of engineers is relatively low, which has resulted in Machine Learning salaries increasing at a faster rate than in other fields.
Credentials/Certifications
Credentials and certifications can also impact the Machine Learning engineer salary per month. Machine Learning engineers with certifications such as the Google Cloud Professional Machine Learning Engineer certification or the AWS Certified Machine Learning - Specialty certification can earn higher salaries.
Skills
The skills of a Machine Learning engineer can impact their Machine Learning engineer starting salary. Engineers with strong skills in programming, mathematics, and statistics typically earn more than those without these skills. Additionally, engineers with experience in deep learning and natural language processing can also expect to earn a higher salary.
However, in order to gain hands-on command of these skills it is recommended that one must pursue Machine Learning Certification courses.
How to Improve Machine Learning Engineer Salary?
Machine Learning expert salary can be improved by focusing on the following areas:
Skills
Machine Learning engineers can improve their skills by learning new programming languages, tools, and techniques. They can also specialize in specific areas of Machine Learning, such as Deep Learning or Natural Language Processing. Some of the essential skills for Machine Learning engineers include programming languages such as Python, R, and Java, Machine Learning algorithms, data analysis, and statistics.
Certifications
Machine Learning engineers can earn certifications such as the Google Cloud Professional Machine Learning Engineer certification, the AWS Certified Machine Learning - Specialty certification, or the Microsoft Certified: Azure AI Engineer Associate certification. These certifications demonstrate that the engineer has expertise in specific areas of Machine Learning and can help them stand out in a competitive job market.
Degrees
Machine Learning engineers can pursue advanced degrees such as a master's degree or a Ph.D. in Computer Science, Data Science, or Machine Learning. An advanced degree can help Machine Learning engineers gain a deeper understanding of Machine Learning algorithms, data analysis, and statistics, which can improve their job prospects and earning potential.
Experience
Machine Learning engineers can gain experience by working on real-world projects, participating in hackathons or coding competitions, and contributing to open-source projects. Experience is essential in the field of Machine Learning, as it is a highly practical and hands-on field. Machine Learning engineers with experience working on projects and solving real-world problems are likely to earn higher salaries.
Why are Machine Learning Engineers Paid So Much?
Here, we will discuss the reasons why Machine Learning engineers are paid so much:
High Demand
Machine Learning is rapidly growing, and the demand for Machine Learning engineers is increasing. There is a global shortage of data professionals, including Machine Learning engineers. As a result, companies are willing to pay high salaries to attract top talent. Machine Learning engineers are essential for developing and deploying Machine Learning models that can solve complex problems, such as Natural Language Processing, image recognition, and predictive analytics.
Specialized Skills
Machine Learning engineers possess specialized skills that are in high demand. Machine Learning is a highly technical and complex field that requires expertise in programming languages, Machine Learning algorithms, data analysis, and statistics. Machine Learning engineers are required to have a deep understanding of these skills to develop and deploy Machine Learning models successfully. This specialized skill set is in high demand, and as a result, Machine Learning freelance salary is also high. The machine learning engineer salary for freshers can be enhanced by acquiring specialized skills.
Contribution to Business Success
Machine Learning engineers contribute significantly to a company's success. By developing and deploying Machine Learning models, they can help companies gain insights from data, improve decision-making, and automate processes. This can lead to increased efficiency, cost savings, and revenue growth. As a result, companies are willing to pay high salaries to Machine Learning engineers who can help them achieve their business goals.
High Barriers to Entry
The barriers to entry in the field of Machine Learning are high. Machine Learning engineers are typically required to have a degree in Computer Science, Data Science, or a related field. They must also possess specialized skills in programming languages, Machine Learning algorithms, and data analysis. This level of education and skill development requires time, effort, and resources. As a result, there is a limited pool of qualified Machine Learning engineers, which drives up their salaries.
Summary
The salary of a Machine Learning engineer can be influenced by various factors, including location, company, experience, and demand and supply. Machine Learning engineers who possess advanced skills, certifications, and degrees, and have significant experience can earn higher salaries.
Pursuing a career in Machine Learning requires a strong educational background and continuous skill development. An excellent way to gain the necessary skills and knowledge to become a Machine Learning engineer is by enrolling in online courses such as KnowledgeHut best online data science course.
By learning from industry experts and gaining hands-on experience with real-world projects, aspiring Machine Learning engineers can develop the skills and knowledge necessary to succeed in this highly competitive field.
