1

Senior Machine Learning Engineer Jobs in Toronto, ON

The Machine Learning Engineer will play a pivotal role in driving innovation and operational efficiency through data-driven solutions leveraging machine learning and artificial intelligence. You will ...

Senior ML Engineer

Toronto, ON ยท Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Senior ML Engineer

Toronto, ON ยท Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Machine Learning Engineer

Toronto, ON ยท On-site

CA$120K - CA$250K/yr

... senior levels, and will evaluate your application in its entirety. Layer 6 is the AI center of ... As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ...

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

Machine Learning Engineer About Themis Intelligence Themis Intelligence builds the Utility Knowledge Base (UKB) and Human-Guided Intelligence (HGI) platforms, redefining how utilities operate. Our ...

next page

Showing results 1-20

Senior Machine Learning Engineer information

See Toronto, ON salary details

$42.9K

$157.8K

$237.2K

How much do senior machine learning engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for senior machine learning engineer in Toronto, ON is $157,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,221.00 and $175,598.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Toronto, ON? The most popular types of Machine Learning Engineer jobs in Toronto, ON are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Toronto, ON? For Senior Machine Learning Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What cities near Toronto, ON are hiring for Senior Machine Learning Engineer jobs? Cities near Toronto, ON with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Researcher

Senior Machine Learning Researcher

Royal Bank of Canada

Toronto, ON โ€ข On-site

Full-time

Posted 5 days ago


Job description

Job Description

RBC Borealis is looking for an enthusiastic Senior Machine Learning Researcher who's excited by the opportunity of being at the forefront of machine learning technology and working on extremely challenging problems in the financial services industry. As a Senior Machine Learning Researcher, you'll be part of a collaborative team delivering AI projects end to end, covering everything from scoping and defining the AI problem, to data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products.
At RBC Borealis you'll be joining a team that works directly with leading researchers in machine learning; and you'll have access to rich and massive datasets and to the computational resources that support cutting-edge machine learning R&D.
Your responsibilities include:
  • Technical Contribution. Apply deep technical expertise and scientific rigour to AI projects, working within and across teams;
  • Research Innovation. Develop innovative machine learning approaches and novel intellectual property;
  • Product Delivery. Iteratively refine and deliver machine learning concepts from proof of concept through to product delivery;
  • Research Excellence. Contribute to defining our research vision, publish papers, and communicate internally and externally around machine learning research;
  • Collaboration. Work closely with team members including other researchers, engineers, and interns to advance AI research and solutioning.
  • Communication. In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide.
You're our ideal candidate if you have:
  • A Ph.D. degree in Computer Science or a related technical field;
  • At least 2 years of experience as a machine learning researcher or engineer in a product-centric environment or equivalent experience;
  • Expertise in machine learning, with experience with large language models and natural language processing being a plus;
  • Experience delivering high-impact machine learning products;
  • Experience mentoring junior researchers and engineers;
  • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
  • The ability to formulate and drive a research project independently;
  • Exceptional communication skills;
  • A history of high-quality academic publications (e.g., NeurIPS, ACL, EMNLP, CVPR, ICLR, ICML etc.).
What's in it for you?
Join a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
Leaders who support your development through coaching and managing opportunities;
Ability to make a difference and lasting impact from a local-to-global scale.

Designs and implements cutting edge machine learning methodologies and algorithms to solve complex, high impact problems, ensuring alignment with organizational goals and industry benchmarks.
Leads the development and deployment of scalable AI platforms and tools, providing strategic guidance and technical expertise to cross functional teams and stakeholders.
Authors and presents peer reviewed publications, represents the organization at international conferences, and collaborates with the scientific community to establish the organization as a leader in AI research.
Mentors and provides technical leadership to junior researchers, disseminating knowledge, reviewing research outputs, and fostering innovation to enhance organizational capabilities in machine learning.
Leads complex machine learning research initiatives, solving abstract problems and delivering impactful solutions using advanced technical and business expertise.
Oversees decision making for highly complex issues with significant financial or operational impact, providing clear direction and actionable recommendations to management on key organizational priorities.
Develops and implements innovative solutions to address highly complex machine learning research related problems ensuring alignment with organizational goals.
Cultivates and maintains high impact relationships across multiple areas to provide strategic insights and delivering measurable value as a trusted advisor.

Job Skills

Collaboration, Communication, Computer Programming, Data Science, Large Language Models (LLMs), Machine Learning (ML)

Additional Job Details

Address:

401 GEORGIA ST W:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-06

Application Deadline:

2026-10-05

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME