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Entry Level Machine Learning Jobs in Ontario (NOW HIRING)

Td

Business Insights Analyst II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Machine learning development and deployment is an asset * Automation experience is an asset Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in ...

Westlake

Electrician - Afternoons

Woodbridge, ON

$44.23/hr

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 ...

Orica

Production Helper (Coniston ON)

Coniston, ON

CA$32.93/hr

Start up and shut down machines and product moving belts following precautions. Operation of ... Flexible to fast changes as needed during production process. Entry level computer skills including ...

Sysco

Slicer Operator

Toronto, ON · On-site

CA$25.68/hr

Operate Machine to slice products according to specifications. Trim and Portion products as needed ... on-line learning Sysco product discounts Preferred vendor discounts Associate Resource Groups ...

Keilhauer

Production Floater

Scarborough, ON · On-site

CA$18 - CA$18.75/hr

... entry-level role is best suited to dedicated, dependable team players with an interest in learning ... hand tools and machinery; may be required to use foot for treadle. Vision: Specific vision ...

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 Jul 26, 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.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

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.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

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.

What jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
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 July 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% 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

CA$65K - CA$90K/yr

Full-time

Posted 4 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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