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Machine Learning Operations Jobs in Ontario (NOW HIRING)

Machine Learning Engineer

Mississauga, ON ยท On-site

CA$85K - CA$135K/yr

Machine Learning Engineer About Themis Intelligence Themis Intelligence builds the Utility ... Our systems transform complex operational data into clear, high-confidence decisions. We design ...

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 ...

Machine Learning Engineer

Toronto, ON ยท Hybrid

CA$129K - CA$174K/yr

Summary: We are currently seeking a Machine Learning Engineer to join our rapidly growing ... Collaborate cross-functionally with engineering, product management, operations and data science to ...

Drive the operational excellence of our AI/ML Platform by implementing and optimizing MLOps ... Design and implement automated deployment pipelines for machine learning models, ensuring seamless ...

$110 - $170/hr

The Product Operations machine learning team is seeking a machine learning research engineer to conduct research in anomaly detection and automated machine learning to address domain-specific ...

... machine learning pipelines using Azure and Databricks. The successful candidate will also lead ... Ensure operational reliability, performance, and compliance across all ML workflows. Client and ...

... machine learning pipelines using Azure and Databricks. The successful candidate will also lead ... Ensure operational reliability, performance, and compliance across all ML workflows. Client and ...

Senior Machine Learning Engineer

Toronto, ON ยท On-site

CA$84K - CA$128K/yr

... machine learning pipelines using Azure and Databricks. The successful candidate will also lead ... Ensure operational reliability, performance, and compliance across all ML workflows. Client and ...

Senior Machine Learning Engineer

Ottawa, ON ยท On-site

CA$84K - CA$128K/yr

... machine learning pipelines using Azure and Databricks. The successful candidate will also lead ... Ensure operational reliability, performance, and compliance across all ML workflows. Client and ...

$167.53 - $249.96/hr

Summary The Product Operations machine learning team is seeking a machine learning research engineer to conduct research in anomaly detection and automated machine learning to address domain-specific ...

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Machine Learning Operations information

What are machine learning operations?

Machine Learning Operations (MLOps) is a set of practices that combines machine learning, software engineering, and DevOps to deploy, monitor, and maintain machine learning models in production environments. It involves tasks such as model versioning, automation, testing, and ensuring scalability and reliability using tools like CI/CD pipelines and cloud platforms.

What is the difference between Machine Learning Operations vs Data Scientist?

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

Is machine learning operations a high paying job?

Machine Learning Operations (MLOps) roles typically offer high salaries due to the specialized skills required, such as expertise in cloud platforms, automation, and data engineering. Compensation varies based on experience, location, and company size, but generally ranks above average compared to other tech roles.
Infographic showing various Machine Learning Operations job openings in Ontario as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Machine Learning Engineer

United States Digital Space LLC

Toronto, ON โ€ข On-site

$120 - $154/hr

Other

Re-posted 3 days ago


Job description

Why is this role important?

At the company, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experience, or designing an app that will impact the lives of people across the country, weโ€™re up for the challenge. From our office in Downtown Toronto, weโ€™ve created leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, and apparel spaces, and weโ€™re only just getting started.

As a Machine Learning Engineer on the GenAI team, you will lead the development of data science products that drive operational efficiency and customer satisfaction. Leveraging the wealth of operational data available, youโ€™ll focus on delivering solutions that predict, forecast, and optimize how we manage our inventory operations and our fulfillment strategy.

Your work requires communicating with an array of business stakeholders across store operations, fulfillment software engineering teams, product management, and online analytics. From brainstorming on numerous options to solve a problem, through deploying the completed solution in a production environment, you will partner with colleagues who offer a diverse set of ideas that are all immensely valuable to our purpose and mission.

What Youโ€™ll Do
  • Drive solutions: Design and implement applied machine learning/operations research approaches to solve business problems.
  • Collaborate with business teams: Work closely with Product, Store Operations, Fulfillment Specialist, and Store & Area Managers to source data, establish requirements, and define success metrics.
  • Code robust solutions: Develop high-performance Machine Learning/Operations Research models using Python programming, leveraging massive structured and unstructured datasets from various sources.
  • Collaborate with Engineering and Data Platform teams: Work with these teams to build and deploy your Machine Learning/Operations Research models into production.
  • Design experiments: Conduct experiments to measure the effectiveness of your product in driving a seamless fulfillment experience through key metrics such as labor rate, pick efficiency, orders ready on time, fill rate, etc.
  • Document and share findings: Share results and findings with stakeholders in a structured manner and drive technical discussions with other Data Science teams.
Does This Sound Like You?
  • MS or Ph.D. in a STEM field โ€” or BSC plus equivalent work experience in Data Science or a closely related role
  • Portfolio or strong interest in working in the domain of applied machine learning/operations research with a focus on predictive analytics, forecasting & supply chain optimization
  • Ability to deal with ambiguity and take the lead in designing individual components within a larger technical solution architecture
  • Creative, resourceful, and productive problem-solver with a passion for tackling dynamic, open-ended problems
  • Comfortable working both independently and collaboratively
  • Proficient in Python programming
  • Experience with advanced SQL querying
  • Experience in shell scripting/Unix
  • Experience with optimization solvers such as Gurobi, CPLEX, OR Tools, Xpress
  • Familiarity with developing and implementing heuristic and metaheuristic algorithms for large-scale optimization problems
How Youโ€™ll Succeed

At the company, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

Weโ€™re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce.

If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, weโ€™ll get along just fine.

Looking for a challenge? Good. Love an innovative work environment? Even better.

Apply today.

Employment Type

Full time

They Prioritize Diversity

Our company recognises Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nationโ€™s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct โ€“ it reinforces what our customers and stakeholders expect of us.

Hiring Range / Salary

H0: $120,000.00 - $154,000.00 / 120.000,00$ - $154.000,00$ (per year / per annum). A candidateโ€™s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position.

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