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Entry Level Machine Learning Jobs in Ontario (NOW HIRING)

Matchless Stove and chimney

Technical Consultant, Grills

Barrie, ON · On-site

$38K - $53K/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

They have an entry level knowledge regarding products, processes as well as a basic understanding ... AI tools used may include systems based on algorithms, statistical models, or machine learning. The ...

Westlake

Electrician - Afternoons

Woodbridge, ON · On-site

$44.23/hr

  • Retirement

  • PTO

Training & Development - Access to multiple platforms of learning (online, in person, 3rd party ... Program/ machinery and processes within the company. * Support and work within the procedures of ...

Westlake

Electrician

Woodbridge, ON · On-site

$45.56/hr

  • Retirement

  • PTO

Training & Development - Access to multiple platforms of learning (online, in person, 3rd party ... Program/ machinery and processes within the company. * Support and work within the procedures of ...

Marmon

Welder B

Sarnia, ON · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

We're committed to making a positive impact on the world, providing you with diverse learning and ... Legally entitled to work in Canada Minimum 2-3 years of welding experience Able to pass entry level ...

Domtar

Industrial Labourer, Thunder Bay Sawmill

Thunder Bay, ON · On-site

CA$31.62/hr

  • Medical

  • Dental

  • Life

  • Retirement

... learning and growth. The location in Thunder Bay, Ontario, Canada, is seeking talent to fill the ... As an Entry Level Mill Operator you will be responsible to provide safe operation of your assigned ...

Domtar

Industrial Labourer, Atikokan Sawmill

Atikokan, ON

CA$29.22/hr

  • Medical

  • Dental

  • Life

  • Retirement

... learning and growth. The location in Atikokan, Ontario, Canada, is seeking talent to fill the ... As an Entry Level Mill Operator you will be responsible to provide safe operation of your assigned ...

Nestle

Marketing Associate

North York, ON · Hybrid

  • Medical

  • Dental

  • Retirement

  • PTO

Demonstrated learning agility and adaptability in a fast-paced environment. * Ability to work ... Up to 50% off - Nespresso Coffee Machine, Capsules and accessories * Access to the Discount Company ...

All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Ontario

Entry Level Machine Learning information

See Ontario salary details

$20K

$65.3K

$152K

How much do entry level machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for entry level machine learning in Ontario is $65,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $82,000.00 per year, depending on experience, location, and employer.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio; internships or entry-level positions can provide practical experience.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

More about Entry Level Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Ontario?

The most popular types of Machine Learning jobs in Ontario are:

What are popular job titles related to Entry Level Machine Learning jobs in Ontario?

For Entry Level Machine Learning jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning jobs in Ontario look for?

The top searched job categories for Entry Level Machine Learning jobs in Ontario are:

Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,272 per year, or $31.4 per hour.

Junior Analytical Chemist

OTI Lumionics Inc.

Mississauga, ON • On-site

CA$65K - CA$90K/yr

Full-time

Posted 25 days ago

Job description

about us

OTI Lumionics is developing advanced materials-by design-using quantum simulations, machine learning and real-world testing in pilot production. We are currently focused on key enabling materials for OLED displays that will be used in next-generation consumer electronics and automotive. Our advanced electrode materials, and associated manufacturing technology, are being used to build transparent displays and lighting. We work closely with our partners and customers to design new materials that are mass-production ready. Using our computational Materials Discovery Platform, we are able to rapidly iterate new materials, allowing fast turn around time to meet our customers' needs.

Workplace type

On-Site

primary responsibilities
  • Follow method procedures to perform laboratory analysis for raw materials, in-process and finished products by using analytical instruments such as NMR, MS, HPLC, UV, IR, TGA and DSC.
  • Assist in developing, transferring and validating analytical methods.
  • Assist in troubleshooting methods and instrumentation.
  • Perform and document all analytical test procedures/deviations/findings in compliance with SOPs.
  • Maintaining a safe and organized laboratory environment; ensuring the work complies with health and safety standards, and SOPs
  • Ensure compliance with environmental policies, procedures, and objectives, and actively participate in the identification and reduction of environmental impacts related to the role
  • Adhere to health and safety protocols, report hazards, and contribute to maintaining a safe and healthy work environment for all employees
  • Other ad hoc duties as assigned
profile
  • MSc or PhD in chemistry or related science
required skills
  • Must demonstrate a good understanding of basic chemistry such as chromatography and spectroscopic technologies
  • Understanding of organic chemistry is desirable
  • Knowledge of Microsoft Office (Word, Excel, PowerPoint) and relevant data processing programmes
  • Knowledge and understanding of GMP/GLP is an asset
  • Excellent verbal and written communication skills
  • Attention to detail
  • Fast learner, flexible, have a strong initiative and can-do spirit
$65,000 - $90,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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