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Junior Machine Learning Engineer Jobs in Waterloo, ON

Targeted Talent

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

SAP

Senior Full Stack Engineer

Waterloo, ON · Hybrid

... Machine Learning/Artificial Intelligence and Industrial Internet of Things (IoT). The solution is ... Collaborate with DevOps resources and other technical experts to deliver on cloud projects like ...

Syntronic

Lead Software Developer (AOSP)

Waterloo, ON · On-site

CA$140K - CA$170K/yr

We are seeking a Lead Software Engineer to drive the design, development, and maintenance of ... Knowledge of Machine Learning and experience using AI tools in the development process.

BDO Canada

Senior Data Scientist, ASR

Kitchener, ON

CA$77K - CA$117K/yr

Build custom machine learning models and natural language processing systems using state-of-the-art ... Proficiency in programming languages such as Python, R, or Scala. Experience with SQL and NoSQL ...

Linamar

Buyer, Junior

Guelph, ON · On-site

Able to read and interpret engineering drawings and specifications, with the ability to communicate ... Join us and you will have the unique opportunity to master both time-tested machinery and the ...

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All JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Waterloo, ON

Junior Machine Learning Engineer information

See Waterloo, ON salary details

$24.2K

$111.1K

$193.5K

How much do junior machine learning engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for junior machine learning engineer in Waterloo, ON is $111,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,378.00 and $138,921.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does a junior ML engineer earn?

A junior machine learning engineer typically earns between $60,000 and $90,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

Which 5 jobs will survive AI?

For a Junior Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist alongside AI advancements. These include jobs in healthcare, education, research, specialized technical fields, and management, where human judgment and empathy remain essential. Developing skills in domain expertise, critical thinking, and interdisciplinary knowledge can help ensure long-term employability in an evolving AI landscape.

Can I learn ML in 3 months?

Learning machine learning as a Junior Machine Learning Engineer in three months is possible for individuals with prior programming experience and a strong foundation in mathematics. Focused study on core concepts, practical projects, and familiarity with tools like Python and scikit-learn can help build foundational skills within this timeframe, but mastering advanced topics typically requires longer-term experience. Real-world proficiency often depends on ongoing practice and continuous learning beyond initial training.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Waterloo, ON? The most popular types of Machine Learning Engineer jobs in Waterloo, ON are:
What cities near Waterloo, ON are hiring for Junior Machine Learning Engineer jobs? Cities near Waterloo, ON with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Waterloo, ON as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,098 per year, or $53.4 per hour.
Data Scientist

Data Scientist

Targeted Talent

Kitchener, ON • On-site

$80K - $100K/yr

Full-time

Medical, Dental, PTO

Posted yesterday

Be an early applicant

Job description

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg. Our client is a global enterprise company with a product that you've likely used.
The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply and demand balancing problems.

You Have:

  • A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats)
  • 1-2 years' experience developing solutions and working with Python
  • Confident extracting and manipulating data from SQL and noSQL stores
  • Previous experience with Machine Learning, Data Science and solving problems at scale

Perks:

  • Competitive Salary
  • Individual performance bonus
  • Health and dental benefits
  • 3 weeks’ vacation
  • Relocation Package
* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.
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Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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