Machine Learning Interview Questions & Answers

person icon Uplatz

Machine Learning Interview Questions & Answers

Top questions (with answers) asked in Machine Learning Engineer job interviews. Become top Data Scientist / ML Engineer.

updated on icon Updated on Oct, 2023

language icon Language - English

person icon Uplatz

architecture icon Development,Machine Learning,Data Science

Lectures -11

Duration -3 hours


30-days Money-Back Guarantee

Training 5 or more people ?

Get your team access to 19,000+ top Tutorialspoint courses anytime, anywhere.

Course Description

A warm welcome to the Machine Learning Interview Questions & Answers course by Uplatz.

Uplatz provides this course on the most frequently asked questions in Machine Learning Engineer / Data Scientist job interviews. In this Machine Learning interview questions course, you will learn and get familiarized with the correct and comprehensive answers to the trending questions related to Machine Learning.

According to Indeed, the average salary for a machine learning engineer is $149,750 per year in the United States and similar high salaries in other countries too. With more and more organizations making machine learning as a key pillar for innovation and driving growth, there is huge scope for smart and enthusiastic Machine Learning engineers. It is one of the fields having great career prospects, both in terms of the compensation offered as well as considering the variety of challenges available.

What is Machine Learning?

Machine learning is the fastest growing subfield of artificial intelligence, where systems have the ability to “learn” through data, statistics and trial and error in order to optimize processes and innovate at quicker rates. Machine learning is giving computers the ability to develop human-like learning capabilities that are allowing them to solve some of the world’s toughest problems, ranging from cancer research to climate change.

Machine Learning facilitates a system to learn from examples and experience without being explicitly programmed. Hence instead of writing code, what you do is you feed data to the generic algorithm, and the algorithm/ machine itself builds the logic based on the given data. Thus, Machine learning is the science of enabling computers to function without being programmed to do so.

By combining software engineering and data analysis, machine learning engineers enable machines to learn without the need for further programming. As a machine learning engineer, working in this branch of artificial intelligence, you'll be responsible for creating programs and algorithms that enable machines to take actions without being directed. An example of a system you may produce is a self-driving car or a customized newsfeed.

This branch of artificial intelligence can enable systems to identify patterns in data, make decisions, and predict future outcomes. Machine Learning can help companies determine the products you're most likely to buy and even the online content you're most likely to consume and enjoy. Machine Learning makes it easier to analyze and interpret massive amounts of data, which would otherwise take decades or even an eternity for humans to decode.

Roles of a Machine Learning engineer

  • Design and Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time

  • Apply computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture

  • Use exceptional mathematical skills, in order to perform computations and work with the algorithms involved in this type of programming

  • Produce project outcomes and isolate the issues that need to be resolved, in order to make programs more effective

  • Collaborate with data engineers to build data and model pipelines

  • Select appropriate platforms for the execution and productization of ML pipelines

  • Develop and productionize machine learning solutions aligned to business needs and push the boundaries by suggesting and driving new technologies

  • Support the implementation of industry-scale high-quality production systems

  • Manage the infrastructure and data pipelines needed to bring code to production

  • Understand how to combine data architectures, distributed systems, machine learning, and next-generation user interfaces

  • Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production

  • Use data modelling and evaluation strategy to find patterns and predict unseen instances

  • Apply machine learning algorithms and libraries

  • Create advanced analytics and machine learning driven solutions for varying data volumes, data types and formats

  • Design machine learning systems, and oversee the platform on which the solutions would be deployed

  • Analyze large, complex datasets to extract insights and decide on the appropriate technique

  • Research and implement best practices to improve the existing machine learning infrastructure

  • Provide support to engineers and product managers in implementing machine learning in the product

Who this course is for:

  • Candidates wishing to crack ML job interviews
  • Machine Learning Engineers
  • Data Scientists & Data Analysts
  • Newbies and beginners aspiring for a career in Machine Learning and Data Science
  • Software Engineers - Machine Learning, Deep Learning
  • Research Scientists - ML, advanced ML
  • Individuals preparing to move into Machine Learning related job roles
  • Machine Learning Application Developers
  • Artificial Intelligence Enthusiasts & Engineers
  • Technical Leads & Engineering Managers
  • Anyone interested to learn Machine Learning


What will you learn in this course:

  • Machine Learning interview questions with answers

  • Crack Machine Learning job interviews

  • Enhance your knowledge of Machine Learning

  • Become a Machine Learning Engineer

  • Get aware about the most trending topics on Machine Learning


What are the prerequisites for this course?

  • Enthusiasm and determination to make your mark on the world!

Machine Learning Interview Questions & Answers


Check out the detailed breakdown of what’s inside the course

ML Interview Questions - part 1
1 Lectures
  • play icon ML Interview Questions - part 1 19:00 19:00
ML Interview Questions - part 2
1 Lectures
ML Interview Questions - part 3
1 Lectures
ML Interview Questions - part 4
1 Lectures
ML Interview Questions - part 5
1 Lectures
ML Interview Questions - part 6
1 Lectures
ML Interview Questions - part 7
1 Lectures
ML Interview Questions - part 8
1 Lectures
ML Interview Questions - part 9
1 Lectures
ML Interview Questions - part 10
1 Lectures
ML Interview Questions - part 11
1 Lectures

Instructor Details



Uplatz is UK-based leading IT Training provider serving students across the globe. Our uniqueness comes from the fact that we provide online training courses at a fraction of the average cost of these courses in the market. 

Over a short span of 3 years, Uplatz has grown massively to become a truly global IT training provider with a wide range of career-oriented courses on cutting-edge technologies and software programming.

Course Certificate

User your certification to make a career change or to advance in your current career. Salaries are among the highest in the world.

sample Tutorialspoint certificate

Our students work
with the Best

Related Video Courses

View More

Annual Membership

Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses

Subscribe now
People having fun around a laptop

Online Certifications

Master prominent technologies at full length and become a valued certified professional.

Explore Now
People having fun around a laptop

Talk to us