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Applied Machine Learning Jobs in Ontario (NOW HIRING)

Td

Machine Learning Engineer II

Toronto, ON

CA$154K - CA$199K/yr

We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Our team is building standardized frameworks to launch AI models that have real ...

Fullscript

Staff, Machine Learning Engineer

Toronto, ON · On-site +1

The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape ... Experience with recommendation systems, personalization, or other applied ML systems beyond LLMs

Fullscript

Staff, Machine Learning Engineer

Ottawa, ON · On-site +1

The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape ... Experience with recommendation systems, personalization, or other applied ML systems beyond LLMs

THOMSON REUTERS

Applied Scientist

Toronto, ON · Hybrid

About the Role As an Applied Scientist, you will develop and implement machine learning and AI solutions to address business problems across Thomson Reuters' legal, tax, and regulatory domains.

HelloFresh

Senior Data Scientist, Growth

Toronto, ON

Expertise in applied machine learning relevant to AdTech, including predictive modeling, optimization algorithms, and modern LLM capabilities preferred. * Proven experience tackling complex marketing ...

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Applied Machine Learning information

Which 3 jobs will survive AI?

Applied Machine Learning professionals, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require specialized skills in programming, statistical analysis, and domain knowledge, making them less susceptible to automation. Continuous learning and staying updated with new tools like TensorFlow or PyTorch are essential for long-term job security in this field.

What are the typical collaboration dynamics between Applied Machine Learning engineers and other teams within a company?

Applied Machine Learning engineers often work closely with cross-functional teams including data scientists, software engineers, product managers, and business analysts. They are typically responsible for translating business problems into machine learning solutions and ensuring models are effectively integrated into production systems. This role requires frequent communication to align on project goals, share progress, and address technical challenges, making teamwork and stakeholder management crucial for successful deployments and continuous improvement.

What is applied machine learning?

Applied machine learning involves using machine learning techniques and algorithms to solve real-world problems in various industries, such as healthcare, finance, and technology. Practitioners focus on selecting appropriate models, preparing data, training algorithms, and deploying solutions that deliver tangible value. Unlike theoretical machine learning, applied machine learning emphasizes practical implementation, evaluation, and optimization to meet business or research objectives.

Is applied AI a good career?

Applied machine learning is a growing field with high demand for professionals skilled in algorithms, programming, and data analysis. It offers opportunities in various industries such as technology, healthcare, and finance, often requiring knowledge of tools like Python, TensorFlow, and cloud platforms. The career can be rewarding with continuous learning and development of specialized skills.

What are the key skills and qualifications needed to thrive as an Applied Machine Learning professional, and why are they important?

To excel in Applied Machine Learning, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a relevant degree or certification. Familiarity with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and version control systems is typically required. Strong problem-solving abilities, communication skills, and a collaborative mindset help you interpret results and convey insights to diverse stakeholders. These competencies are crucial for building effective models, driving data-driven decisions, and ensuring the successful integration of machine learning solutions into real-world applications.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying scalable AI systems can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires strong programming skills, knowledge of cloud platforms, and a track record of impactful projects.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch. Such roles usually involve leadership responsibilities, strategic planning, and may require multiple years of industry experience and relevant certifications.
What are popular job titles related to Applied Machine Learning jobs in Ontario? For Applied Machine Learning jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Applied Machine Learning jobs in Ontario look for? The top searched job categories for Applied Machine Learning jobs in Ontario are:
Applied Machine Learning jobs near you
Infographic showing various Applied Machine Learning job openings in Ontario as of June 2026, with employment types broken down into 1% Internship, 3% As Needed, 70% Full Time, 19% Part Time, 6% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Machine Learning Engineer II

Machine Learning Engineer II

Td

Toronto, ON

CA$154K - CA$199K/yr

Full-time

Posted 8 days ago

Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$154,000 - $199,500 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Layer 6 is the AI research centre of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.

Our research broadly 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 actively collaborate with world renowned academic faculty.

We are always looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.

We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Our team is building standardized frameworks to launch AI models that have real-world impact. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.

Day-to-day as a Machine Learning Engineer:

  • Join a world-class team of AI developers with an extensive track record.
  • Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability.
  • Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application.
  • Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections.

Job Requirements

What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

  • Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
  • Minimum three years of experience delivering major data science projects in large, complex organizations
  • Strong communication, business acumen and stakeholder management competencies
  • Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices
  • Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture a plus
  • A track record of driving product adoption and growth
  • Familiarity with cloud solution architecture, Azure a plus
  • Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience a plus
  • Master's degree data science, artificial intelligence, computer science or equivalent experience

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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