Artificial intelligence and machine learning careers have an attractive, futuristic sparkle about them. Artificial intelligence and machine learning applications are integral to the operations of countless industries, and their wide-scale adoption, coupled with projected steady growth, make them some of the hottest careers available. 

Artificial intelligence and machine learning jobs might seem like jobs of tomorrow, but professionals with expertise in these fields are in demand today. Gaining certification in artificial intelligence and machine learning can set you up for a bright future with gainful employment and a healthy salary for decades to come. 

If you’re interested in what a machine learning engineer does or want to acquire new skills in related fields, this article will review the best job roles and machine learning salary trends for 2023.

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The Boom in Machine Learning Salaries and Jobs

The job opportunities in machine learning are as wide-ranging and abundant as the technology applications. From self-driving cars to online shopping, speech recognition, and pandemic resolution, there is virtually no significant area of modern life that hasn’t experienced a transformation due to the work of machine learning algorithms — and the engineers who build them. 

If you’re aiming to work in a field that offers impressive pay and benefits along with excellent job satisfaction, machine learning is for you. While a career in machine learning is booming with potential, gaining training will put you at the top of a popular field. 

Below are some top machine learning jobs showing upward machine learning salary trends. The list covers machine learning salaries by job role and geography.

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1. Machine Learning Engineer

The role of a machine learning engineer is similar to that of a computer programmer, but their concentration extends beyond programming computers to execute certain tasks. They write programs that let computers accomplish things without being explicitly instructed to do so. A skilled ML engineer may examine a task that is presently being performed by humans and comprehend how to break it down in such a manner that it can be automated. The work demands programming and analytical abilities, as well as an awareness of the methodologies and tools required to apply ML to real-world activities. It is also advantageous to be familiar with mathematical modeling.

Machine learning engineers play an important role on the data science team. Their responsibilities include studying, developing, and creating the artificial intelligence that drives machine learning, as well as maintaining and upgrading current artificial intelligence systems. A machine learning engineer will frequently act as a vital communicator between other data science team members, collaborating directly with the data scientists who design the models for constructing AI systems and the individuals who build and run them.

While machine learning engineers' work duties vary, they frequently include:

  1. Putting machine learning algorithms into action
  2. Experimenting with and testing AI systems
  3. Machine learning system design and development
  4. Conducting statistical analyses

Machine Learning Engineer Salary According to Location and Experience

Machine learning engineer job responsibilities are among the top-paying professions in the world, depending on your talents, experience level, location, and company. Do you want to know what the average machine learning engineer salary will be in 2021? According to PayScale and Glassdoor, typical wages for machine learning engineers vary from $76000 to more than $154000. There are various reasons behind the wide compensation range of a machine learning engineer. Before making an offer, employers often consider aspects such as experience level, talents, educational background, geography, and industry knowledge working on hands-on machine learning projects. It is also crucial to note that the machine learning engineer salaries shown below do not include other perks such as bonuses, paid time off, profit-sharing, and stock options at larger businesses.

Machine Learning Engineer Salary in the US

The average yearly salary for an Entry Level of Machine Learning in the United States is $64,338 as of Oct 21, 2022. In the United States, the average compensation for an experienced Machine Learning Engineer is $147,618. A Machine Learning Engineer's average supplemental cash pay in the United States is $23,489. 

In the United States, the average total salary for a Machine Learning Engineer is $171,107. Built In has compiled salary estimates for Machine Learning Engineers based on anonymous U.S. employee responses. They also get health insurance, a gym membership, life insurance, profit sharing, paid time off, parental leave, and even opportunities for growth.

Machine Learning Engineer Salary in India

There is a yearly salary of $671,548 for a machine learning engineer. India's top entry-level machine learning engineers earn about 500,000 per year with less than a year of experience. Early-stage machine learning engineers typically charge $672,106 a year, depending on their skill set, location, and demand.

The annual pay of a mid-level engineer is $1,173,074. If they think that's wonderful, you'll find the compensation of senior-level engineers (those with more than 10 years of experience) to be encouraging, since they make more than 2 million rupees each year. An ML engineer's pay in India may vary depending on the city and level of expertise.

Machine Learning Engineer Salary in the UK

As a recent graduate just beginning out in his job, he might anticipate earning roughly £35,000. This may climb to £40,000 to £55,000 with expertise, and lead machine learning engineers can make £80,000 to £90,000. 

This can escalate to £170,000 if they work for a huge international corporation such as Google or Facebook. Contract employment is available and pays roughly £450 per day. Salaries vary according to credentials, specializations, and experience. A workplace pension program, private medical insurance, and a discretionary bonus are examples of benefits.

Note: The income statistics are solely provided as a guide.

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2. Data Scientist

A Harvard Business review article famously dubbed Data Scientist as the "Sexiest Job of the 21st Century". The role is still living up to the claim by being one of the highest paying jobs in the realm of ML.

A data scientist collects, analyzes, and interprets vast volumes of data and produces actionable insights to help drive business decisions. These professionals use their expertise in advanced analytics technologies, including machine learning and predictive modeling, to perform their day-to-day tasks.

Aspiring candidates in this role must have a good background in statistics and programming, particularly in Python. In addition, knowledge of R and SQL work to their advantage. 

According to Towards Data Science, training is critical as competition tightens for the best jobs. It said candidates need to acquire big data and machine learning tools to get a leg up in the job market. Also, using soft skills in branding and networking will work to an aspiring data scientist’s advantage, the article states.

Data Scientist Salary By Geography:

  • A data scientist in the U.S. can earn an average salary of $117K/year
  • The average data scientist salary in the UK is £ 52,052/year
  • In India, a data scientist and machine learning expert salary averages ₹ 910,000/year

3. NLP Scientist

NLP stands for Natural Language Processing and is a field that gives machines the ability to understand human language. Applications such as voice recognition, speech to text, and many others that we use every day have machine learning at its core. 

An NLP Scientist is involved in developing a machine with the ability to learn speech patterns and translate spoken words into other languages. This job requires the professionals to have excellent fluency in the syntax, spelling, and grammar of at least one language and expertise in machine learning.

NLP Scientist Salary By Geography:

  • NLP scientist in the US can earn an average machine learning salary of $114K/year
  • In India, an NLP professional commands an average salary of ₹1M/year.

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4. Human-Centered Machine Learning Designer

These professionals deal with the branch of machine learning, where ML algorithms are focused mainly on humans. This job involves generating patterns from the available data, which machines can learn based on individual information. Examples of this are YouTube and Netflix recommendations, where users are suggested content based on their viewing history. 

A professional in this job role must have a keen understanding of human behavior and knowledge of building workflows based on work habits and practices and their relationship with systems and machines. A good understanding of machine learning and programming skills in Python, R, and Java are key requirements for this job role.

Human-Centered Machine Learning Designer Salary By Geography:

  • A machine learning designer in the U.S. can earn an average salary of $100,000+/year
  • In India, an ML designer with an NLP focus can earn an average machine learning salary of ₹ 561K/year
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Expand Your Skill Set and Boost Your Machine Learning Salary

As businesses speed up their adoption of machine learning systems and as job listings in the field continue to rise, be assured that there are plenty of opportunities no matter which career path you choose. With high-paying salaries and the chances of contributing to some of the world’s most transformative projects, machine learning jobs are — and will remain — some of the most sought-after positions in the IT job market. 

So whether you’re looking to build a career in machine learning or planning to upskill yourself in machine learning skills, getting certified will set you apart from other job-seekers. Start with Simplilearn’s AI ML Course. It offers flexible, online learning unmatched in the training field. 

When you’ve completed your initial Machine Learning Certification course, Simplilearn offers a Post Graduate Program in Artificial Intelligence and Machine Learning in partnership with Perdue University and in collaboration with IBM. This online bootcamp is best suited for working professionals with programming skills. It teaches concepts such as statistics, machine learning, deep learning, NLP, and reinforcement learning. 

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1. How much does a Machine Learning Engineer in India make?

A machine learning engineer's yearly compensation is $671,548. Machine learning engineers with less than a year of experience earn about 500,000 per year, making them one of India's top entry-level wages.

2. What is the lowest salary for a Machine Learning Engineer in India?

In India, the beginning salary for a Machine Learning Engineer is roughly 3.5 Lakhs per year (29.2k per month).

3. How much is a machine learning engineer paid?

A machine learning engineer typically makes between 7.5 and 8 lakh per year in total salary. The national average, according to Glassdoor, is 7.6 lakh, while Payscale data shows it to be 7 lakh.

4. Are machine learning engineers paid well?

A machine learning engineer may make up to 500,000 dollars per year. This is a high entry-level wage that reflects the time and effort necessary to become an expert in machine learning. An entry-level engineer earns an annual income of $1,173,074.

5. Is a machine learning engineering stressful job?

Oh, the anxiety! We've all experienced it. It's much more difficult in a complicated setting (and machine learning projects are certainly complex), compared to less demanding occupations. Interviews are difficult regardless of your level of seniority.

6. Do AI engineers make a lot of money?

For quite some time, the AI employment market has been expanding at a breakneck pace. The average yearly income of an entry-level AI engineer in India is about 8 lakhs, which is much more than the average salary of any other engineering graduate. AI engineer salaries might reach 50 lakhs in high-level professions.

About the Author

Karin KelleyKarin Kelley

Karin has spent more than a decade writing about emerging enterprise and cloud technologies. A passionate and lifelong researcher, learner, and writer, Karin is also a big fan of the outdoors, music, literature, and environmental and social sustainability.

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