Jobs in Vaughan, ON and nearby (96,008 jobs)

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

96,008 listings · 10,702 employers Counted Nov 12, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (2,221 listings), Loblaw Companies Limited (1,628 listings), Shoppers Drug Mart (1,488 listings).

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

14,883 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	8,269
CAD / hour	27.00	6,117
USD / year	158,000.00	73
CAD / month	4,500.00	37
CAD / week	1,650.00	33
CAD / day	101.00	17

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, 28% 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

Group jobs by employerEmail me new jobs Save this search

Added 9 hours ago
M
Senior Investment Consultant I
Marsh
Toronto, ON
- Full-time
This role will be based in Toronto and offers a hybrid work arrangement, requiring a minimum of three days per week in the office · All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 9 hours ago
RJ
Compliance Officer, RJLU
Raymond James Ltd.
Toronto, ON
- Full-time
RJLU is a cross-border firm registered in the U.S · broker-dealer or Canadian cross-border dealer highly desired
Added 9 hours ago
EE
Certified Pilates Instructor
Elemon EMS & Pilates
Toronto, ON
- Full-time
Evening shift · Morning shift
Added 9 hours ago
OM
Manager, Media Planning
Omnicom Media
Toronto, ON
- Full-time
Added 9 hours ago
F
Senior Manager, Commerce
Flywheel
Toronto, ON
- Full-time
Added 9 hours ago
AC
Technician, Installation 3
AVI-SPL Canada
Markham, ON
- Full-time
Valid and current AVIXA CTS General Certification required
Added 9 hours ago
OM
Manager, Media Planning
Omnicom Media
Toronto, ON
- Full-time
Added 9 hours ago
RG
Accounts Receivable & Accounts Payable Administrator
RecruitPod Global
Markham, ON
- $80,000 to $85,000 CAD / year
- Full-time
Note: MUST have someone with exceptional Jonas experience.
Added 9 hours ago
OM
Senior Financial Analyst
Omnicom Media
Toronto, ON
- Full-time
Added 9 hours ago
AM
Principal Debug Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Added 9 hours ago
AM
Principal Systems Validation Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Added 9 hours ago
SD
Pharmacist, Hourly Part Time Flexible Shifts Greenlight Requisition
Shoppers Drug Mart
Toronto, ON
- Part-time
Added 9 hours ago
SD
Pharmacist, Hourly Full Time Flexible Shifts Greenlight Requisition
Shoppers Drug Mart
Toronto, ON
- Full-time
Added 9 hours ago
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Audience & Data Strategy Director
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Toronto, ON
- Full-time
Added 9 hours ago
AG
Sr Campaign Manager, Programmatic
Adelphi Group
Toronto, ON
- Full-time
Added 10 hours ago
PG
Project Manager, Building Systems
Plan Group Inc.
Vaughan, ON
- Full-time
Added 10 hours ago
OD
Salesforce Developer
OSI Digital
Toronto, ON
- $40,000 to $110,000 CAD / year
- Full-time
Added 10 hours ago
RU
Senior Manager, Canadian National Tax Centre
RSM US LLP
Toronto, ON
- Full-time
Added 10 hours ago
CP
HR Recruiter - 3 Month Contract - Fully On-Site
CuBE Packaging Solutions Inc.
Aurora, ON
- Contract
Added 10 hours ago
LC
Beauty Specialist, Hourly Part Time Night
Loblaw Companies Limited
Vaughan, ON
- Part-time
Added 10 hours ago
S
Lead Optometrist
Specsavers
Toronto, ON
- Contract
Added 10 hours ago
NF
Analyst Part Time Day
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Toronto, ON
- Part-time
Added 10 hours ago
S
Clinical Research Coordinator (SRI) - Evaluative Clinical Sciences - Casual 2026-19297 (2026-19297)
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Toronto, ON
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Added 10 hours ago
S
Lead Optometrist
Specsavers
Toronto, ON
- Contract
Added 10 hours ago
S
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Toronto, ON
- Other

S M Software Solutions Inc

RQ00245 – Machine Learning Engineer – Senior

Toronto, ON, Canada

Hybrid

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Hybrid
Apply by: Dec 6, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

Client: Metrolinx – RQ00245

We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations (MLOps), CI/CD, containers, APIs, automation, model deployment, monitoring, and observability. The ideal candidate will have strong Python and machine-learning engineering expertise, with a proven ability to take machine-learning models from experimentation through development and into reliable production environments. The successful candidate will design, develop, deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices, establishing reusable deployment patterns, tools, monitoring, and automation to support enterprise-scale AI solutions.

Role Snapshot

Job Title: RQ00245 – Machine Learning Engineer – Senior
Client: Metrolinx
Work Location: 277 Front Street West, Toronto, Ontario, Canada
Work Arrangement: Hybrid – 3 Days per Week Onsite
Estimated Start Date: November 23, 2026
Estimated End Date: May 23, 2027
Business Days: 130.00
Hours: 7.25 hours per day
Public Sector Experience: Preferred but not required

Must Have

Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, model deployment, monitoring, and observability.
Strong Python and machine-learning engineering skills, with demonstrated experience taking models from experimentation into reliable production environments.
Experience with the following technology stack:
- Python
- SQL
- Power BI
- Power Automate
- Visual Studio Code (VS Code)
- Git
- Jira
- Azure (ML Studio, AI Foundry)
- Databricks
Deep understanding of machine-learning algorithms and statistics, including:
- Classification
- Regression
- Clustering
- Feature Engineering
- Model Evaluation
- Hyperparameter Tuning
- Model Drift
- Model Retraining
- Performance Optimization
- Production Model Troubleshooting

Description

Senior Machine Learning Engineer

The Senior Machine Learning Engineer will deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices. The role will establish reusable deployment patterns, tooling, monitoring, and automation that enable AI solutions to move reliably from development into production and scale across the enterprise.

Responsibilities

Deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices.
Establish reusable deployment patterns, tooling, monitoring, and automation.
Enable AI solutions to move reliably from development into production and scale across the enterprise.
Create machine-learning models and utilize data to train models.
Focus on analysing data to find relationships between the input and the desired output.
Understand business objectives and develop models that help achieve them, along with metrics to track their progress.
Design and develop machine-learning and deep-learning systems.
Run machine-learning tests and experiments.
Implement appropriate machine-learning algorithms.

General Skills

Experience managing available resources such as hardware, data, and personnel to ensure deadlines are met.
Experience analysing machine-learning algorithms that could be used to solve a given problem and ranking them by their probability of success.
Experience exploring and visualizing data to gain an understanding of it, and then identifying differences in data distribution that could affect performance when deploying the model in real-world environments.
Experience verifying data quality and/or ensuring data quality through data cleaning.
Experience supervising the data acquisition process when additional data is required.
Experience finding available datasets online that could be used for training.
Experience defining validation strategies.
Experience defining the preprocessing or feature engineering to be performed on a given dataset.
Background in statistics and computer programming.
A team player with a track record of meeting deadlines, managing competing priorities, and demonstrating client relationship management experience.

Additional Information

Work Location: 277 Front Street West, Toronto, Ontario, Canada.
Work Arrangement: Hybrid.
Onsite Requirement: 3 days per week onsite.
Public Sector Experience: Preferred but not required.
Contract Duration: November 23, 2026, to May 23, 2027.
Working Hours: 7.25 hours per day.

How to Apply

If you are interested and your profile matches the requirements, kindly submit the following mandatory documents to hrsmss@smsoftconsulting.com by Monday, November 9, 2026, at 8:00 AM EST.

Mandatory Documents

Updated Resume in Word format (Mandatory)
Skills Matrix and References (Mandatory)
Expected Hourly Rate (Mandatory)
Visa Status (Mandatory)
LinkedIn ID (Mandatory)

Please note that we cannot proceed with your submission without the following mandatory documents.

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You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, develop, deploy, integrate, monitor, and operationalize machine-learning and AI solutions using modern MLOps practices. Establish reusable deployment patterns, tools, monitoring, and automation to move models reliably into production and support enterprise-scale solutions.

Requirements

Requires advanced hands-on experience with Azure Machine Learning or Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, deployment, monitoring, and observability, along with strong Python and machine-learning engineering skills. Candidates should understand machine-learning algorithms and statistics and have experience preparing data, engineering features, validating and evaluating models, and troubleshooting production systems.

Skills

Azure Machine Learning
Azure AI Foundry
MLOps
Python
Machine Learning
CI/CD
Containerization
API Integration
Model Deployment
Model Monitoring
Observability
SQL
Databricks
Feature Engineering
Model Evaluation
Statistics

Visa sponsorship

Not detected in the job text

Keywords

Azure Machine Learning
Azure AI Foundry
Microsoft Foundry
MLOps
CI/CD
Python
SQL
Power BI
Power Automate
Visual Studio Code
Git
Jira
Databricks
Machine Learning
Deep Learning
Classification
Regression
Clustering
Feature Engineering
Model Evaluation
Hyperparameter Tuning
Model Drift
Model Retraining
Model Deployment
Model Monitoring
Observability
Containers
APIs
Data Cleaning
Data Visualization

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Work requirements

Jobs in Vaughan, ON and nearby