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Machine Learning System Engineer Jobs in Toronto, ON

We develop and deploy industry-leading machine learning systems that impact the lives of over 27 ... We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning ...

Lead Machine Learning Engineer

Toronto, ON · Remote

$225K - $260K/yr

This role develops and scales large-scale machine learning training systems for multimodal robotics ... Work closely with ML scientists and other engineers to integrate new models, experiments, and ...

Machine Learning Engineer Position: Full time Location: Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize ...

... systems. Success in this role is measured by scalable, reliable, and production-ready machine ... Machine Learning Engineering, Data Science, Applied AI, Software Engineering, or related ...

Machine Learning Engineer

Toronto, ON · Hybrid

CA$129K - CA$174K/yr

Summary: We are currently seeking a Machine Learning Engineer to join our rapidly growing ... However, we've built our systems to ensure that a human always reviews AI-generated output, and we ...

Machine Learning Engineer

Toronto, ON · Remote

CA$110K - CA$130K/yr

Your Role Clarius Mobile Health is seeking a Machine Learning Engineer to contribute to a special project focused on expanding access to ultrasound technology while advancing our next-generation ...

We are looking for a Machine Learning Engineer to join our Toronto team and help us take our ... Working knowledge of embedded systems and their constraints * Sound software engineering practices ...

We are looking for a Machine Learning Engineer to join our Toronto team and help us take our ... Working knowledge of embedded systems and their constraints * Sound software engineering practices ...

We develop and deploy industry-leading machine learning systems that impact the lives of over 27 ... We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning ...

We develop and deploy industry-leading machine learning systems that impact the lives of over 27 ... We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning ...

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$84K - CA$128K/yr

... systems is essential. * Professional Experience A minimum of 5 years of hands-on experience in ... Advanced programming skills in Python, with practical experience using popular machine learning ...

Senior Machine Learning Engineer

Oakville, ON · On-site

CA$84K - CA$128K/yr

... systems is essential. * Professional Experience A minimum of 5 years of hands-on experience in ... Advanced programming skills in Python, with practical experience using popular machine learning ...

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Machine Learning System Engineer information

What is a machine learning system engineer?

Machine learning system engineers are professionals who design, build, and maintain the infrastructure and systems that support machine learning models in production environments. They work at the intersection of software engineering and data science, ensuring that machine learning algorithms run efficiently, scale appropriately, and integrate seamlessly with existing applications. Their responsibilities often include data pipeline development, model deployment, monitoring, and optimization to ensure reliable and robust AI solutions.

What are the key skills and qualifications needed to thrive as a machine learning system engineer?

To thrive as a Machine Learning System Engineer, you need strong skills in computer science, statistics, machine learning algorithms, and a degree in a related field such as computer science or engineering. Proficiency with programming languages like Python or Java, experience with ML frameworks (e.g., TensorFlow, PyTorch), and knowledge of cloud platforms are typically required. Exceptional problem-solving abilities, teamwork, and effective communication are vital soft skills that help in designing scalable solutions and collaborating across teams. These skills ensure the successful development, deployment, and maintenance of reliable machine learning systems in real-world environments.

What are some common challenges machine learning system engineers face when deploying models to production environments?

Machine Learning System Engineers often encounter challenges such as ensuring model scalability, maintaining low latency, and addressing data drift once models are deployed in production. They must also work closely with software engineers, data scientists, and DevOps teams to integrate models seamlessly into existing systems and monitor their ongoing performance. Additionally, balancing computational resources and optimizing for cost efficiency while ensuring high reliability can be complex, making collaboration and clear communication essential in this role.

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

AspectMachine Learning System EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; certifications in ML or cloud platformsBachelor's or Master's in Statistics, Data Science, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops, deploys, and maintains ML systems; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works closely with business teams
Industry UsageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, analytics firms, tech companies

While both roles involve machine learning, Machine Learning System Engineers focus on building and maintaining scalable ML systems, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in technical focus and responsibilities.

Infographic showing various Machine Learning System Engineer job openings in Toronto, ON as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Machine Learning Engineer

Toronto, ON

CA$120K - CA$250K/yr

Full-time

Re-posted 22 days ago


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$120,000 - $250,000 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:

We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.

Layer 6 is the AI center 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 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 actively collaborate with world renowned academic faculty. We are 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. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.

As a Machine Learning Engineer, you will:

  • Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge
  • 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
  • Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing


RequiredQualifications:

  • Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
  • 3+ years of developer experience shipping code in production settings
  • Strong background in machine learning and deep learning
  • Strong coding proficiency in Python, Java, C, or C++
  • You value good software design and sweat over details in code and API design
  • You take great personal pride in building robust and scalable software
  • You are highly accountable and have a strong sense of ownership
  • You strive to communicate clearly and with empathy

PreferredQualifications:

  • Research experience with publication record
  • Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
  • Experience with building and scaling data-intensive software
  • Experience using GPUs for accelerated deep learning training

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