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Entry Level Machine Learning Jobs in Toronto, ON

Hatch

Information Management Analyst

Mississauga, ON · On-site

As an entry level position to the Information Management discipline, you will be exposed to a ... Intelligence/Machine Learning opportunities. * Deployment & implementation of our Common Data ...

New

Td

Business Insights Analyst II

Markham, 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 ...

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 Toronto, ON

Entry Level Machine Learning information

See Toronto, ON salary details

$19.1K

$62.3K

$145.1K

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

As of Jul 8, 2026, the average yearly pay for entry level machine learning in Toronto, ON is $62,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,061.00 and $78,255.00 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 Toronto, ON? The most popular types of Machine Learning jobs in Toronto, ON are:
What are popular job titles related to Entry Level Machine Learning jobs in Toronto, ON? For Entry Level Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Toronto, ON look for? The top searched job categories for Entry Level Machine Learning jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Entry Level Machine Learning jobs? Cities near Toronto, ON with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Toronto, ON as of July 2026, with employment types broken down into 1% Locum Tenens, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $62,292 per year, or $29.9 per hour.
Information Management Analyst

Information Management Analyst

Hatch

Mississauga, ON • On-site

Full-time

Posted 7 days ago

New

Job description

Requisition ID: 100533 

Job Category: Campus 

Location: Mississauga, ON, Canada 
 

Join a company that is passionately committed to the pursuit of a better world through positive change. With more than 70 years of business and technical expertise in mining, energy, and infrastructure, our 10,000 colleagues in 150 countries tirelessly work toward bettering the industries in which we operate. With practical solutions that are safe, innovative and sustainable, we think globally while acting locally. 

Join our Project Delivery Group (PDG), a dynamic team of professionals passionately committed to world-class project delivery across the globe. With expertise in sustainable studies, asset building and operations, and industry-leading efficiencies, our best-in-class team leverages methodologies, governance and systems that are unparalleled in the engineering space. Are you looking for an opportunity to join a diverse group of professionals who are committed to remaining exceptional? We look forward to hearing from you.

Looking to get the most out of your upcoming internship?


The Project Information Management group is seeking an Information Management Analyst new graduate with interests in Technology & Innovation, Digital Delivery and Advanced Data Management. Reporting to the Regional Lead, you will support projects based out of our Mississauga location.

As an entry level position to the Information Management discipline, you will be exposed to a variety of key areas on a rotational basis to gain broad exposure to Hatch’s digital processes and tools including:

  • Digital Project delivery processes that span various functions and disciplines
  • Data management, including systems connectivity, data cleansing and transformation, enhanced visualization and enabling Artificial Intelligence/Machine Learning opportunities.
  • Deployment & implementation of our Common Data Environment (tools & systems) supporting various digital use cases for delivery, construction, and operations and maintenance.
  • Information management, including information delivery planning, information production and delivery processes.
  • Research and Development (R&D) for emerging technologies and innovation related to various stages of the assets’ lifecycle.

This well-rounded experience will provide you with a sound basis for your career in information management and will help you decide on which stream within information management to specialize in long-term. 

What Will a Career at Hatch Offer You: 

You will:

  • Be given opportunities to contribute to complex projects around the world in meaningful ways.
  • Work on problems and gain experience relevant to your field of study in an office environment.
  • Collaborate with diverse teams locally and globally.
  • Work in an exciting environment where you can apply your academic learning on a daily basis.
  • Benefit from formal and informal mentorship from some of the leading minds and authorities in the industry.
  • Participate in local Lunch and Learns, Hatch Charity Events, and more to develop your skills.
  • Join in charitable, social, and sports activities with other Hatch employees.

We’re entrepreneurs with a technical soul. Our flat organizational structure creates an atmosphere of openness and participation. We build practical solutions that are safe, innovative, and sustainable. Our ultimate goal is to achieve no harm for our people, our clients, and our communities.

As the successful candidate, you will:

  • Setup and deploy Hatch’s Digital Project Delivery environment focusing on data, IM processes and CAD applications according to Hatch’s standard practices or client requirements.
  • Take part in identifying and implementing areas of new technology, applications, and processes.
  • Support the development of the company’s digital standards, processes and procedures.
  • Continuing support and training of in-house digital cross-discipline processes within Hatch
  • Ensures digital standards are being followed by project stakeholders.
  • Support project stakeholders with information exchange (models, drawings data, documents)
  • Liaise directly with and promote increased collaboration between project stakeholders
  • Advise Hatch’s project managers and project teams with regards to digital best practices to ensure information coordination.
  • Develop innovative solutions for data management and visualization.
  • Identify and research emerging technologies that could lead to more or new business opportunities.

You bring to the role:

  • Graduating 2026 or recently graduated with a Bachelor of Information Management/Computer Science or related degree from an accredited University
  • Strong analytical skills required, including a thorough understanding of how to interpret project needs and translate them into data and information requirements
  • Knowledge of data systems and computer systems for dashboarding, knowledge of API configuration, SQL, and PowerBI an asset
  • Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, managers, and subject matter experts

Software Experience: The following list of applications is not essential but will be a great benefit: 

  • Any design tools (2D or 3D) including Bentley or AutoDesk suite of tools
  • SQL
  • VBA programming/ Python
  • API configuration
  • Microsoft Power BI

Competencies (knowledge, skill, attributes):

  • Good understanding of engineering and business fundamentals as they apply to engineering problems and projects.
  • Ability to learn quickly and to take on new challenges.
  • Collaborative team player with excellent interpersonal skills.
  • Excellent organizational skills and attention to detail.
  • Strong written and verbal communication skills.
  • Shows critical and creative thinking and problem solving and brings forward solutions for our clients' toughest challenges.
  • Adapts and embraces change.

 

Compensation:

Range: $81,000 - $84,000

At Hatch, we are committed to fair and equitable compensation practices. In accordance with legislated pay transparency requirements, the expected salary range for this position is based on current market data and aligned with internal pay structures to ensure consistency and fairness.

Your individual compensation within this range will depend on factors such as skills, experience, qualifications and location. In addition to base pay, our total rewards package may include performance-based incentives, comprehensive benefits, and other programs designed to support your well-being and growth.

Note: Applicants must submit a transcript (official or unofficial) upon application.

Why join us?

  • Work with great people to make a difference
  • Collaborate on exciting projects to develop innovative solutions
  • Top employer


What we offer you?

  • Flexible work environment
  • Long term career development
  • Think globally, work locally

Don't meet every single requirement? You don't need to. At Hatch, we are building a diverse, inclusive workplace that fosters innovation. If you're interested in this role, we encourage you to apply even if your past experiences don't perfectly align with the skills we've listed.

We're committed to fostering a workforce that reflects the diversity of the communities in which we operate and serve. Hatch is an Equal Opportunity Employer that considers applicants without regard to age, race, color, national origin, citizenship, religion, creed, gender, sexual orientation, marital status, disability, veteran, or any other protected status. If you have any accommodation requirements, please let us know. We'll do our best to meet your needs in accordance with applicable local legislation.

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