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Entry Level Machine Learning Jobs in Ontario (NOW HIRING)

Td

Business Insights Analyst II

Markham, ON

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 · On-site

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

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 ...

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All 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 6, 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 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
Bilingual Technical Consultant, Grills

Bilingual Technical Consultant, Grills

Matchless Stove and chimney

Barrie, ON

$38K - $53K/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago

Job description

Napoleon leads the way with innovative engineering, advanced manufacturing techniques, unsurpassed customer service and remarkable product quality. Our award-winning products offer a best-in-class experience for all customers’ home comfort needs. While we are proudly Canadian, Napoleon is also fortunate to operate on a world-wide scale. 

The warmth and experience that Napoleon product brings to the homes of our customers transcends borders, language, and cultures to elevate everyday experiences, so you love being home. Throughout North America, Europe, South America and Asia, Napoleon creates memorable moments through our stunning designs and innovative technologies. 

 This post is for an existing contract vacancy and is actively being recruited for. 

Title: Bilingual Technical Consultant, Grills
Hours: 8:30 a.m. to 5:00 pm EST Time - Tuesday to Saturday
Location: Remote Work 

Reporting to the Team Leader, the Technical Consultant, Grills is accountable to effectively respond to product information inquiries from Consumers & Dealers via phone, emails & other service channels, with a continued goal to improve on processes and grill knowledge. Provide “Best in Class Customer Experience” as per corporate guidelines/objectives to existing and new customer base. The Grill Technical Consultant will enter replacement parts and warranty orders and record relevant information in the CRM application. They have an entry level knowledge regarding products, processes as well as a basic understanding of troubleshooting gas and electrical situations.

Key Responsibilities and Accountabilities:

  • Effectively responding to product information inquiries from Consumers & Dealers via phone, emails & other service channels at an entry level. May perform tasks in French or alternate 2nd language.
  • Enter replacement parts and warranty orders, record relevant information in CRM application.
  • Achieves contact, order and CRM volume goals.
  • Respond to basic technical & troubleshooting inquiries without the need for handoff.
  • Able to enter Return Authorizations and Credit Memos.
  • Maintains minimum average 80% on call/email quality evaluations.
  • Enter customer payments and credits.
  • Report necessary revisions to replacement parts manuals, and report issues with our product website.
  • Shares new or modified product information with team.
  • Helps identify and track potential product quality issues and report through Quality Audit.

 Education and Experience:

  • High School diploma, College Diploma/Certificate, or University degree in related field preferred.
  • Minimum 2 years work experience in Customer Service. Preference for prior contact centre/or technical assistance equivalent.
  • Complete all Grill onboarding courses (NED). Personal Development courses in World Class Customer Experience would be an asset.
  • Microsoft Office Beginner (Excel, Word, Outlook), ERP (Dynamics 365 is an asset).
  • Must possess strong communication skills. Bilingual French/English is highly preferred.  Technical experience relevant to product line.

At Napoleon, we believe in creating an environment where our Associates can thrive personally and professionally. Here’s what you can look forward to when you join our team: 

Benefits, Health, Well-being & Support 

  • Comprehensive health, dental, vision, and life insurance coverage – 100% of premiums paid by the Company! 
  • Long Term Disability Protection 
  • Well-being support programs and virtual medical visits 
  • Employee & Family Assistance Program for mental health and well-being (EAP) 

Career Growth & Development 

  • Training Allowance and continuous learning opportunities and programs 
  • Leadership development and mentorship programs 
  • Clear pathways for advancement 

Culture & Community 

  • Appreciation events, raffles, and team building activities 
  • Napoleon Cares – A fund sponsored by Associates to help Associates in times of need 

Financial Security 

  • Competitive total compensation package, inclusive of bonus opportunity 
  • Retirement savings plan with matching Company contributions (RRSP/DPSP) 
  • Exclusive Associate discounts on our award-winning products 

Artificial Intelligence Disclosure: As part of our commitment to transparency and fairness in hiring, we disclose that automated tools, including artificial intelligence (AI), may be used to support parts of the recruitment process. This may include functions such as resume parsing, candidate ranking, or initial screening. These tools do not make final hiring decisions but may assist Talent Acquisition in evaluating applications.AItools used may include systems based on algorithms, statistical models, or machine learning. 

The Napoleon Group of Companies is committed to fair and accessible employment practices that attract and retain Associates with disabilities. This includes providing accessibility across all stages of the employment cycle. Accommodation is available upon request. 

We thank you for your interest in The Napoleon Group of Companies and for participating in our competition. Only those candidates selected for consideration will be contacted. 

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