Jobs in Vaughan, ON and nearby

Jobs within 25 km of Vaughan, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

85,526 listings · 10,130 employers Counted Nov 4, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (1,906 listings), Loblaw Companies Limited (1,450 listings), Shoppers Drug Mart (1,309 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

13,388 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	85,000.00	6,967
CAD / hour	26.00	5,252
USD / year	120,000.00	503
USD / hour	27.50	270
CAD / month	6,000.00	32
CAD / week	2,914.00	26
CAD / day	101.00	16

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 27% hybrid, 72% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Vaughan, ON and nearby

Within 25 km

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Added 17 mins ago
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Altis

Machine Learning Engineer

Toronto, ON, Canada

Hybrid

$65 to $75 CAD / hour · Contract

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Job details

Pay: $65 to $75 CAD / hour
Job type: Contract
Workplace: Hybrid
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Job Description

Senior Machine Learning Engineer

Location: Hybrid, 3 days per week on-site (city to be confirmed)

Language: Strong written and verbal English communication skills

Duration: 6-month contract with the possibility of extension

About the Opportunity

Are you a hands-on Machine Learning Engineer who enjoys turning innovative AI solutions into reliable, production-ready systems? This opportunity offers the chance to help a large enterprise organization scale its AI capabilities by building robust deployment frameworks, automation, and monitoring solutions.

Working alongside technical teams and business stakeholders, you'll play a key role in bridging the gap between machine learning experimentation and production. Your expertise will help establish scalable MLOps practices that improve reliability, performance, and the delivery of AI solutions across the organization.

What's In It for You

Work on high-impact AI and machine learning initiatives with enterprise-wide reach.

Collaborate with experienced technical professionals in an innovative, team-oriented environment.

Gain exposure to modern Azure AI technologies and advanced MLOps practices.

Enjoy a hybrid work arrangement with the possibility of a contract extension.

Your Responsibilities

You'll design, develop, deploy, and operationalize machine learning and deep learning models using Azure Machine Learning and Azure AI Foundry.

You'll build reusable MLOps pipelines, CI/CD workflows, containerized solutions, APIs, and automation to streamline production deployments.

You'll establish monitoring and observability practices to track model performance, identify drift, troubleshoot issues, and support retraining.

You'll apply classification, regression, clustering, feature engineering, and hyperparameter tuning techniques to optimize model performance.

You'll collaborate with stakeholders to translate business objectives into scalable AI solutions, measurable outcomes, and effective validation strategies.

You'll support data preparation, quality assurance, experimentation, and resource planning while managing competing priorities and deadlines.

Skills and Qualifications

Extensive hands-on experience in machine learning engineering, including successfully deploying and supporting models in production environments.

Advanced expertise in Azure Machine Learning (ML Studio), Microsoft Foundry/Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, and model observability.

Strong programming and technical skills with Python, SQL, Databricks, Power BI, Power Automate, VS Code, Git, and Jira.

Deep understanding of machine learning algorithms, statistics, classification, regression, clustering, feature engineering, model evaluation, and hyperparameter optimization.

Demonstrated experience with model drift, retraining, performance optimization, production troubleshooting, data validation, and preprocessing.

Strong analytical, communication, stakeholder management, and collaboration skills, with the ability to deliver results across competing priorities.

Why Partner with Altis

If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.

Apply About employer

More about this job

Responsibilities

Design, deploy, and operationalize machine learning and deep learning models using Azure services, and build reusable MLOps pipelines, CI/CD workflows, containerized solutions, APIs, and automation. Establish model monitoring and retraining practices, optimize model performance, and collaborate with stakeholders to deliver scalable AI solutions aligned with business objectives.

Requirements

Requires extensive hands-on experience deploying and supporting machine learning models in production, with advanced expertise in Azure Machine Learning, Azure AI Foundry, MLOps, CI/CD, containers, APIs, and observability. Candidates should have strong programming and analytical skills, knowledge of machine learning methods and model evaluation, and experience with drift, retraining, data validation, and production troubleshooting.

Skills

Machine Learning
Azure Machine Learning
Azure AI Foundry
MLOps
Python
SQL
Databricks
Power BI
Power Automate
CI/CD
Containerization
APIs
Model Monitoring
Feature Engineering
Hyperparameter Optimization
Git

Benefits

Hybrid Work Arrangement
Potential Contract Extension
Coaching
Direct Access to the Hiring Manager

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
Azure Machine Learning
Azure AI Foundry
MLOps
CI/CD
Python
SQL
Databricks
Power BI
Power Automate
Visual Studio Code
Git
Jira
Containerization
APIs
Model Observability
Model Drift
Model Retraining
Classification
Regression
Clustering
Feature Engineering
Hyperparameter Tuning
Model Evaluation
Data Preprocessing
Data Validation
Automation
Production Deployment
Stakeholder Management

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