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

Position Description AI & Machine Learning * Act as the internal SME for AI strategy, tooling ... Mentor junior team members and promote AI literacy across the IT team and business stakeholders

Senior AI Engineer

Toronto, ON · On-site

CA$69K - CA$119K/yr

... mentor junior engineers, while partnering closely with business, engineering, and governance ... Bachelor's orMaster's degree in Computer Science, Data Science, AI, Machine Learning, Statistics ...

Lead technical design discussions, conduct architecture reviews, and mentor junior developers to ... Strong background in Machine Learning frameworks, GenAI platforms, LLMs, and agentic AI

Lead technical design discussions, conduct architecture reviews, and mentor junior developers to ... Strong background in Machine Learning frameworks, GenAI platforms, LLMs, and agentic AI

Act as an effective team player and mentor to junior staff through technical reviews and ... Machine Learning: Experience designing technology stacks tailored for machine learning. * Strategy:

... and mentor junior technical writers. Documentation is the connective tissue between technical ... Demonstrated ability to understand and explain AI, machine learning, large language models, and ...

Mentor and coach more junior engineers, delivering some of your impact through the people you ... Experience with AI implementation, machine learning libraries, or working with AI APIs Advanced ...

Mentor and support junior team members; contribute to internal best practices and knowledge sharing ... Experience with machine learning, predictive analytics, or optimization models * Familiarity with ...

You will be responsible for leading key initiatives, mentoring junior developers, and collaborating ... Experience with machine learning, data analytics, or financial services is a bonus Our Values We ...

Staff Software Engineer

Toronto, ON · Hybrid

CA$172K - CA$197K/yr

We challenge the traditional bank stereotype by integrating machine learning, conversational AI and ... Provide mentorship to junior and intermediate associates through engineering best practises and ...

Staff Software Engineer

Toronto, ON · Hybrid

CA$172K - CA$197K/yr

We challenge the traditional bank stereotype by integrating machine learning, conversational AI and ... Provide mentorship to junior and intermediate associates through engineering best practises and ...

Showing results 41-60

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:
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.

AI - Full Stack Engineer

Emterra Group

Oakville, ON • On-site

$120K/yr

Full-time

Medical, Dental

Re-posted 7 days ago


Job description

Who We Are

Emterra Group is a dynamic, growth-oriented, and safety-focused group of companies. Our organization have been deemed to be an "essential service" by providing collection and processing for recycling, organics, and waste that keep our communities clean and safe. With customer service and safety as our focus, we are looking for an energetic and driven employee to support our growing company and play a crucial role in waste diversion and the circular economy. Emterra is proud to be recognized as one of Canada's Greenest Employers, a certified diverse supplier of the Canadian Aboriginal and Minority Supplier Council (CAMSC) and the Canadian Women Business Enterprise National Council (WBE)

Job Summary

We are looking for a skilled and forward-thinking AI SME / Full Stack Engineer to join our IT team. In this role, you will lead the design, development, and deployment of AI-powered solutions built on the Microsoft Azure platform, while also contributing to full stack application development across the enterprise. You will serve as the go-to expert for AI/ML tooling, Microsoft Copilot ecosystems, and modern cloud-native architectures.

Position Description

AI & Machine Learning

  • Act as the internal SME for AI strategy, tooling selection, and best practices across the organization
  • Design and implement AI/ML solutions using Azure AI Services, Azure OpenAI, Cognitive Services, and Machine Learning Studio
  • Evaluate, pilot, and operationalize Microsoft Copilot and Copilot Studio capabilities across business units
  • Build and manage RAG (Retrieval-Augmented Generation) pipelines, AI agents, and prompt engineering frameworks
  • Govern AI usage, ensuring responsible AI principles, data privacy, and compliance standards are upheld

Full Stack Development

  • Develop scalable web applications and APIs using modern frameworks (React, Angular, or Vue.js on the front end; .NET, Node.js, or Python on the back end)
  • Build and maintain RESTful and GraphQL APIs integrated with Microsoft 365 and Azure services
  • Design and manage SQL and NoSQL databases (Azure SQL, Cosmos DB, etc.)
  • Implement CI/CD pipelines using Azure DevOps

Azure & Microsoft Platform Engineering

  • Architect and manage Azure cloud infrastructure including App Services, Azure Functions, Logic Apps, Service Bus, and API Management
  • Work within Microsoft Entra ID (Azure AD) for identity, access management, and SSO integrations
  • Maintain security and compliance posture across Azure environments in alignment with IT governance standards
  • Integrate Microsoft Power Platform (Power Automate, Power Apps, Power BI) with enterprise applications

Collaboration & Leadership

  • Mentor junior team members and promote AI literacy across the IT team and business stakeholders
  • Partner with business units to identify automation and AI opportunities that drive operational efficiency
  • Translate complex technical concepts into clear, actionable recommendations for non-technical stakeholders
  • Contribute to IT roadmap planning with a focus on innovation and scalability

Skills & Qualifications

  • 5+ years of experience in full stack software development
  • 3+ years of hands-on experience with Microsoft Azure (AZ-204 or AZ-305 certification preferred)
  • Demonstrated experience building solutions with Azure OpenAI, Azure AI Services, or similar LLM platforms
  • Proficiency in at least one front-end framework (React, Angular, or Vue.js) and one back-end language (.NET/C#, Python, or Node.js)
  • Strong experience with Microsoft 365 ecosystem (Teams, SharePoint, Graph API, Exchange)
  • Solid understanding of DevOps practices and Azure DevOps or GitHub Actions
  • Experience with relational and NoSQL databases

Nice to Have

  • Microsoft Copilot Studio or Power Platform experience
  • Familiarity with Microsoft Fabric or Azure Synapse Analytics
  • Experience with responsible AI frameworks and AI governance
  • Background in the waste management, logistics, or environmental services industry
  • AI-102 (Azure AI Engineer Associate) or DP-100 (Azure Data Scientist) certification

Salary - $120,000


Reasons to Apply, Stay and Grow with Emterra Group:


  • Opportunity to be part of one of Canada's Greenest Employers!
  • Competitive wages!
  • Comprehensive health benefits (health, dental, and more depending on what you choose)!
  • Employee Assistance Program, paid for by the company!
  • Tuition reimbursement program and professional development support!
  • Be part of an entrepreneurial organization that wants to continue to learn and grow!
  • Ability to have an impact and make change!

Are you ready to jumpstart your career by joining one of Canada's Greenest Employers and become part of the environmental solution? If so, apply now!  We appreciate all applicants who apply however only those who are qualified, will be contacted.


Emterra Group is committed to maintaining an equitable, fair, and diverse environment. Any applicants who have a disability or require reasonable accommodation may speak directly with our Human Resources Department. Reasonable accommodations will be assessed on a case-by-case basis.  All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, age, national origin, disability, or veteran status.


Please note that AI may be used to support the application review process; however, all applications are reviewed by our Human Resources Team.


This posting is for an immediate vacancy, and we are actively hiring for this position.



Employment Type: FULL_TIME