1

Senior Machine Learning Jobs in Ontario (NOW HIRING)

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 ...

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: 165-225K USD yearly plus benefits plus ...

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: 165-225K USD yearly plus benefits plus ...

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions.

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions.

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions.

Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and ...

Our AI organization is responsible for seamlessly embedding cutting-edge machine learning, Generative AI, and autonomous agents directly into Workday's core platform-optimizing the HR and financial ...

Job Requisition ID # 26WD98709 Senior Software Engineer - Machine Learning Fusion - Collaborative Research and Innovation The Fusion Collaborative Research and Innovation team is looking for a driven ...

next page

Showing results 1-20

Senior Machine Learning information

See Ontario salary details

$25.5K

$141.4K

$229K

How much do senior machine learning jobs pay per year?

As of Jul 19, 2026, the average yearly pay for senior machine learning in Ontario is $141,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $179,500.00 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 address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

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 a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What are Senior Machine Learning engineers?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.
What are the most commonly searched types of Machine Learning jobs in Ontario? The most popular types of Machine Learning jobs in Ontario are:
What are popular job titles related to Senior Machine Learning jobs in Ontario? For Senior Machine Learning jobs in Ontario, the most frequently searched job titles are:
Senior Machine Learning Researcher

Senior Machine Learning Researcher

Royal Bank of Canada

Toronto, ON

Full-time

Re-posted 10 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:
  • Drive Research Strategy: Formulate and lead independent research projects that solve complex, high-impact problems. Define success metrics aligned with both business goals and scientific rigor;
  • Design & Implement ML Solutions: Architect and deploy scalable ML systems and algorithms. Provide technical guidance to cross-functional teams on implementation and optimization;
  • Build Organizational Expertise: Mentor junior researchers and engineers. Review research outputs, disseminate knowledge, and foster a culture of innovation;
  • Establish Thought Leadership: Author peer-reviewed publications, present at top-tier conferences (NeurIPS, ACL, EMNLP, etc.), and position the organization as an AI research leader;
  • Advise Leadership: Synthesize complex technical and business considerations. Provide clear, actionable recommendations on high-stakes decisions with significant financial or operational impact;
  • Cultivate Strategic Relationships: Build trusted partnerships across teams and external collaborators to deliver measurable value and shape organizational direction.
You're our ideal candidate if you have:
  • A Ph.D. degree in Computer Science or a related technical field;
  • 2+ years of experience as a machine learning researcher or engineer in a product-centric environment or equivalent experience;
  • Deep expertise in machine learning; LLM and NLP experience a plus;
  • Track record of delivering high-impact ML products from concept to production
  • Experience mentoring junior technical talent;
  • Exceptional communication skills-able to translate complex ideas for diverse audiences;
  • 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.

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