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Junior Machine Learning Jobs in Toronto, ON (NOW HIRING)

Ben Machine Products

CNC Machinist

Woodbridge, ON · On-site

$24 - $30/hr

... for junior positions.10+ years' experience required for senior positions.Certificate of ... We look forward to learning more about you and your qualifications.Ben Machine is registered under ...

Thoughtworks

Principal Data Scientist

Toronto, ON · On-site

Drawing upon their profound expertise in statistics, modeling, machine learning algorithms and data ... junior team members. As a data scientist at Thoughtworks, you'll leverage your deep technical ...

Bell Canada

Senior Data Scientist II

Toronto, ON · Hybrid

Mentor and guide junior and senior data scientists, fostering a collaborative and high-performing ... Stay abreast of the latest advancements in the field of machine learning and proactively identify ...

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation. - Publish high-impact research at top-tier conferences in machine learning or robotics.

Virtusa

Senior Python Developer

Mississauga, ON · On-site

... junior and mid-level engineers Collaborate with product, DevOps, QA, and architecture teams ... machine learning, or AI platforms is a plus Testing & Quality Strong experience with testing ...

Virtusa

Senior Python Developer

Mississauga, ON · On-site

... junior and mid-level engineers Collaborate with product, DevOps, QA, and architecture teams ... machine learning, or AI platforms is a plus Testing & Quality Strong experience with testing ...

Intact Financial

Senior Data Scientist

Toronto, ON · Hybrid

... theory of machine learning. * Can focus on vaguely defined issues requiring the application of a creative approach. * Ability to collaborate with others and to coach junior members of staff.

Levio

ML/AI Engineer

Toronto, ON · On-site +1

CA$110K - CA$150K/yr

The ML / AI Engineer design, build, deploy, and operate production-grade machine learning and ... Mentor junior ML/AI engineers and contribute to engineering best practices Qualifications and ...

MasterCard

Lead Data Scientist - R&D

Toronto, ON · On-site

Leads the technical design, development, and review of complex, scalable machine learning models ... Mentors and guides junior team members through hands-on support, reviews, and on-the-job learning ...

Genentech

Senior Data Scientist

Mississauga, ON

CA$156K - CA$290K/yr

Apply advanced statistical methods, machine learning, and AI to interrogate complex datasets ... Mentor junior colleagues, guiding them in study design, statistical analysis, coding best practices ...

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All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Toronto, ON

Junior Machine Learning information

See Toronto, ON salary details

$20K

$87.9K

$177.5K

How much do junior machine learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for junior machine learning in Toronto, ON is $87,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,173.00 and $123,587.00 per year, depending on experience, location, and employer.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
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 Junior Machine Learning jobs in Toronto, ON? For Junior Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning jobs in Toronto, ON look for? The top searched job categories for Junior Machine Learning jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Junior Machine Learning jobs? Cities near Toronto, ON with the most Junior Machine Learning job openings:
Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $87,889 per year, or $42.3 per hour.

Junior Advisor, Asset Analytics

BBA, Inc.

Concord, ON

Full-time

Re-posted 2 days ago

Job description

An overviewof your future role

BBA is a leading North American consulting firm that provides a broadrange of services, including engineering and design, digital power systems,in-field testing, analysis and commissioning, asset management and analyticsand advisory services.

BBA has a new opportunity for a Junior Advisoras part of our Power Advisory and Asset Management (PAAM) team. BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists, mathematicians, statisticians, policy-makers and advisors who arecollectively building the next generation of decision-making analytics andplatforms to help organizations make their asset infrastructure more resilientin the face of extreme weather, growing capacity needs and the integration ofnew technologies (e.g., electric vehicles, renewables, data centres). Our worksupports a variety of organizations, including electric GT&D utilities,independent power producers and commercial customers, to avoid potential risksby taking the right actions, with the right assets, at the right time.

This new opportunity will involve a wide rangeof challenging projects in the utility and power sector, along with exposure tothe mining and industrial sectors.

With us, you'll get the opportunity to... 

  • Help deliver decision-making asset analytics, including advanced asset condition assessment and monitoring, risk-based asset management frameworks, root cause analysis, failure analysis and probabilistic analytics
  • Support the delivery of top-down and bottom-up load forecasting for power utilities, large industrial customers and independent power producers
  • Develop asset analytics dashboards, visualizations, digital twins and geospatial visual environments to convey key decision-making messages to asset players
  • Support the development of key performance indicators, metrics and measures to enhance productivity, operations and risk management
  • Support the delivery of regulatory reporting deliverables, including long-term and short-term capital and maintenance investment plans as part of electricity rate filing applications
  • Support the development of business case evaluation (BCE) frameworks to justify and prioritize key investments
  • Perform end-to-end data analytics, including data collection, transformation, analysis, and visualization
  • Support the development of new decision-making technologies leveraging advanced machine learning, deep learning and artificial intelligence techniques
  • Engage in hands-on consulting work, including data analysis, research, stakeholder interviews and preparation of final deliverables
  • Delivery of engagement and contribution (E&C) programs to present key findings from major projects as part of knowledge sharing, client engagement and networking activities

Do your qualities and values match ourcorporate culture?
  • Autonomous
  • Aptitude for self-development
  • Results-driven
  • Excellent communication and soft skills
  • Attention to detail
  • Strong organizational skills
  • Thirst to learn and excel
  • Rigorous and ethical
  • Caring mindset that puts people first

Apply