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

Magna

Artificial Intelligence Student

Concord, ON

CA$20 - CA$22/hr

Develop and Train machine learning models through our specialized AI Video tools Validate and test ... to assist in the initial screening of applications submitted through our Workday system. These ...

BDO Canada

AI Engineer

Toronto, ON

CA$77K - CA$117K/yr

Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights ... While these tools assist our teams, our use of AI does not replace human decision making, and all ...

BDO Canada

AI Engineer

Oakville, ON · On-site

CA$77K - CA$117K/yr

Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights ... While these tools assist our teams, our use of AI does not replace human decision making, and all ...

BDO Canada

AI Engineer

Markham, ON · On-site

CA$77K - CA$117K/yr

Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights ... While these tools assist our teams, our use of AI does not replace human decision making, and all ...

Hibernian General Insurance

Data Scientist

Markham, ON · On-site

CA$80K - CA$120K/yr

Your work will include building and deploying data pipelines, machine learning, and statistical ... Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment ...

Hibernian General Insurance

Data Scientist

Toronto, ON · On-site

CA$80K - CA$120K/yr

Your work will include building and deploying data pipelines, machine learning, and statistical ... Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment ...

Loram

Machine Operator 1 - SPS

Toronto, ON

Assistant Manager, Superintendent or Assistant Superintendent GENERAL DESCRIPTION / PURPOSE ... Learning on the Fly * Action Oriented * Listening * Personal Learning Qualifications Experience:

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Royal Bank of Canada

AI Engineer

Toronto, ON · Hybrid

Develop conversational AI systems that assist sales professionals in client interactions and help ... Must-have * A PhD or Master's degree in Computer Science, Machine Learning, Deep Learning, or ...

Royal Bank of Canada

AI Engineer Lead

Toronto, ON · Hybrid

Develop conversational AI systems that assist sales professionals in client interactions and help ... Five or more years building Deep Learning or Machine Learning models in production environments.

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All JobsMachine Learning Assistant JobsMachine Learning Assistant Jobs in Toronto, ON

Machine Learning Assistant information

What are some common challenges a Machine Learning Assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

Is ML a high paying job?

Machine Learning Assistant roles are generally well-paying compared to many entry-level positions, with salaries often reflecting the specialized skills in programming, data analysis, and familiarity with tools like Python and TensorFlow. Compensation varies based on experience, location, and industry, but the field is known for competitive salaries and growth opportunities.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior machine learning engineers, or research directors, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These positions are usually found in large tech companies or specialized AI firms and may involve leadership, strategic planning, and cutting-edge research.

Which 3 jobs will survive AI?

For a Machine Learning Assistant, roles that require complex problem-solving, creativity, and human interaction are likely to persist, such as data scientists, AI ethics specialists, and domain-specific consultants. These jobs involve nuanced judgment, ethical considerations, and contextual understanding that AI tools currently cannot fully replicate.

What is a Machine Learning Assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What jobs pay $2000 a day?

High-paying jobs that can reach $2000 a day often include specialized roles such as senior software engineers, data scientists, or freelance consultants with in-demand skills. These positions typically require extensive experience, advanced certifications, or freelance work with high hourly rates, and may involve project-based or contract work in industries like technology, finance, or consulting.

What are the key skills and qualifications needed to thrive as a Machine Learning Assistant, and why are they important?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.
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 Machine Learning Assistant jobs in Toronto, ON? For Machine Learning Assistant jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning Assistant jobs in Toronto, ON look for? The top searched job categories for Machine Learning Assistant jobs in Toronto, ON are:
Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Toronto, ON as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 2% Part Time, 1% Temporary, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Sr. Machine Learning Ops Engineer

Sr. Machine Learning Ops Engineer

McKesson

Mississauga, ON • On-site

CA$99K - CA$132K/yr

Full-time

Posted 29 days ago

McKesson rating

7.8

Company rating: 7.8 out of 10

Based on 202 frontline employees who took The Breakroom Quiz

41st of 71 rated pharmaceutical

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Job Title

Senior MLOps Engineer

This position follows our Flex & Connect model of 2x per week onsite in Mississauga, ON.

Summary

Join McKesson's growing AI/ML team and play a critical role in operationalizing machine learning and Generative AI solutions at scale. This role focuses on deploying, standardizing, and maintaining production-ready ML and agentic AI systems-enabling consistent, reliable, and optimized delivery of data science innovations that support McKesson's AIM28 strategic initiatives.

What You'll Do
  • Lead deployment and operationalization of ML models and GenAI/agentic solutions, ensuring scalability, reliability, and performance
  • Partner with Data Scientists to identify and automate high-impact model use cases, building end-to-end pipelines (CI/CD, monitoring, alerting)
  • Define and enforce standardized deployment patterns and runbooks across teams
  • Own KTLO (keep-the-lights-on) operations for ML and GenAI systems including health monitoring, logging, and performance tracking
  • Design and implement pipelines for batch, real-time, and event-driven inference
  • Establish observability frameworks (monitoring, logging, lineage, alerting)
  • Enable deployment of agentic AI solutions using tools such as LangChain, LangGraph, Semantic Kernel, and Databricks tools
  • Ensure secure deployment of applications with proper access controls (e.g., Okta integration)
  • Drive cost and performance optimization across ML and GenAI workloads
  • Partner with architecture, compliance, governance, and legal teams to meet enterprise standards
  • Conduct ongoing research into emerging tools and technologies to improve deployment practices
  • Guide and influence architectural decisions while maintaining clear separation between platform and deployment ownership
What You Bring
  • Strong experience deploying ML models into production environments
  • Hands-on expertise with CI/CD pipelines, monitoring, and production ML systems
  • Experience with GenAI or agentic AI frameworks (LangChain, Semantic Kernel, etc.)
  • Knowledge of model observability, drift detection, and operational support
  • Experience working in scaling or early-stage ML environments
  • Proficiency with cloud platforms (AWS, Azure, or GCP)
  • Strong cross-functional collaboration skills (Data Science, Product, Architecture)
  • Ability to drive standardization, automation, and platform maturity
  • Focus on reliability, scalability, and optimization
Minimum Requirements
  • Degree or equivalent and typically requires 7+ years of relevant experience.
Preferable Skills & Experience
  • Experience with Databricks ecosystem (e.g., Databricks Genie)
  • Familiarity with LangChain, LangGraph, or Microsoft Semantic Kernel
  • Exposure to GenAI cost optimization / FinOps practices
  • Experience implementing secure enterprise applications (e.g., Okta)
  • Experience in healthcare or regulated environments
  • Experience scaling ML/AI capabilities from experimentation to production maturity

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$99,100 - $132,100

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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