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Machine Learning Operations Jobs in Ontario (NOW HIRING)

Manulife Financial Corporation

Your role will involve advanced machine learning to support operational effectiveness and fraud detection. As a Senior Data Scientist, you will lead efforts in developing comprehensive ML models and ...

New

Autodesk

Job Requisition ID # 26WD98709 Senior Software Engineer - Machine Learning Fusion - Collaborative ... Experience with cloud data processing, training, deployment, or operations (AWS, GCP) * Experience ...

Workday

Senior Machine Learning Engineer

Toronto, ON · On-site

... financial operations of some of the world's largest enterprises. We don't just run sandbox ... Design, develop, and deploy scalable machine learning models and AI systems (ranging from ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...

Qualcomm

Innovate in Machine Learning operations on Hexagon DSPs Requirements: * 12+ years in software engineering and devops * Advanced knowledge of C++17 and design motifs * Experience with embedded systems ...

New

TELUS Digital

This may include areas such as large‑scale data warehousing, real‑time analytics, machine learning operations (MLOps), or agentic AI systems. * Roving Catalyst: Enhance existing project teams ...

New

Thri5 Inc.

AI / Machine Learning Engineer

Toronto, ON · On-site

Your Role As an AI / Machine Learning Engineer at Thri5, you'll help build the agent layer that ... You'll also develop deterministic, data-driven detection models to reliably identify operational ...

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All JobsMachine Learning Operations JobsMachine Learning Operations Jobs in Ontario

Machine Learning Operations information

Is ML a high paying job?

Machine Learning Operations (MLOps) roles are generally well-paid due to the specialized skills required, such as expertise in cloud platforms, programming, and data management. Salaries tend to be higher than average tech roles and can increase with experience, certifications, and knowledge of tools like TensorFlow or Kubernetes.

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.

What engineer makes $500,000 a year?

Senior machine learning operations engineers with extensive experience, advanced skills in automation, cloud platforms, and deployment pipelines can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such roles often require expertise in tools like Kubernetes, Docker, and cloud services, along with strong problem-solving and leadership abilities.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and overseeing complex models. AI may automate some routine aspects, but MLEs' expertise in data engineering, model optimization, and deployment remains critical for effective AI solutions.
Machine Learning Operations jobs near you
Infographic showing various Machine Learning Operations job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Senior Machine Learning Scientist at Manulife

Manulife Financial Corporation

On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join Manulife in Toronto as a Senior Machine Learning Scientist and innovate with AI-driven analytics. Your role will involve advanced machine learning to support operational effectiveness and fraud detection. As a Senior Data Scientist, you will lead efforts in developing comprehensive ML models and analytical solutions that have far-reaching impacts across Manulife's business functions. Your responsibilities include deep analysis of large datasets and fostering collaboration with various teams to facilitate data solutions. Keeping abreast of new technologies will also be vital for success in this position. Key Responsibilities: • Lead the development of machine learning and AI-based projects • Conduct data analyses to uncover insightful trends • Implement generative AI and RAG applications
• Experiment with and optimize ML models • Collaborate with data and ML engineers for integration Requirements: • Minimum of 5 years in machine learning and analytics • Strong programming skills in Python and ML tools • Graduate degree in Data Science or related discipline • Knowledge of Agile and software development practices • Strong verbal and written communication skills Transform data into actionable insights at Manulife, leveraging machine learning and analytics expertise. #J-18808-Ljbffr

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