Jobs in Toronto, ON and nearby

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

91,307 listings · 10,702 employers Counted Nov 4, 2026. How we count

About these jobs

Employers hiring include Shoppers Drug Mart (1,471 listings), Loblaw Companies Limited (1,274 listings), S M Software Solutions Inc (963 listings).

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

14,957 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	8,737
CAD / hour	26.00	5,708
USD / year	155,000.00	75
CAD / month	6,000.00	34
CAD / week	2,868.82	28
CAD / day	140.00	13

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, 29% hybrid, 71% 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 Toronto, ON and nearby

Within 25 km

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Added 3 hours ago
A
Co-op Student - Construction (Winter 2027)
AtkinsRéalis
Toronto, ON
- Full-time
Added 3 hours ago
R
Senior IT Program Manager
Raise
Toronto, ON
- Full-time
Added 3 hours ago
RN
Associate Designer - RID00210
Red Nucleus
Toronto, ON
- Full-time
Added 3 hours ago
SD
Pharmacy Assistant, Hourly Full Time Day
Shoppers Drug Mart
Vaughan, ON
- Full-time
Added 3 hours ago
SD
Pharmacist, Hourly Part Time Day Greenlight Requisition
Shoppers Drug Mart
Woodbridge, ON
- Part-time
Added 3 hours ago
SD
Merchandiser, Hourly Part Time Flexible Shifts Greenlight Requisition
Shoppers Drug Mart
Toronto, ON
- Part-time
Added 3 hours ago
T
Senior Finance Analyst
TD
Toronto, ON
- Full-time
Added 3 hours ago
T
Product Control Analyst
TD
Toronto, ON
- Full-time
Added 3 hours ago
T
Engineer I
TD
Mississauga, ON · Toronto, ON
- Full-time
Added 3 hours ago
Senior Strategist
Ogilvy
Toronto, ON
Added 3 hours ago
C
Network Technical Project Manager, Vice President
Citi
Mississauga, ON · Toronto, ON
- Full-time
Added 3 hours ago
C
Applications Support Sr Analyst - Assistant Vice President
Citi
Mississauga, ON
- Full-time
Added 3 hours ago
C
Senior Software Engineer, Search
Clio
Toronto, ON
- Full-time
Added 3 hours ago
TS
Building Automation Systems (BAS) Engineer/Technician
TalentSphere Staffing Solutions
Toronto, ON
- Full-time
Added 3 hours ago
CP
Compounder
Contract Pharmaceuticals Limited
Mississauga, ON
- $50,000 to $55,000 CAD / year
- Contract
Added 3 hours ago
E
Performance Marketing Manager
ecobee
Toronto, ON
- Full-time
Added 3 hours ago
VB
Senior FP&A and Systems Analyst (6 Month Contract)
Vaco by Highspring
Toronto, ON
- Full-time
Added 3 hours ago
A
Principal Visual Experience Designer
Autodesk
Toronto, ON
- Full-time
Added 3 hours ago
ST
Apprenticeship Training Specialist
Skilled Trades Ontario / Métiers spécialisés Ontario
Mississauga, ON
- Full-time
Added 3 hours ago
T
Engineer I
TD
Toronto, ON
- Full-time
Added 3 hours ago
FR
Accounts Receivable Coordinator
FirstService Residential Canada
Toronto, ON
- Contract
Added 3 hours ago
FS
Natural Foods Clerk Part Time Day
Fortinos Supermarket Ltd
Vaughan, ON
- Part-time
Added 3 hours ago
EC
SAP FICO Consultant
Experis Canada
Toronto, ON
- Contract
Added 3 hours ago
PH
Nurse (RPN/RN)
ParaMed Home Health Care
Toronto, ON
- Part-time
Added 3 hours ago
Y
Marketing Events Specialist - SaaS B2B
YuJa
Toronto, ON
- $60,000 to $65,000 CAD / year
- Full-time

vTech Solution Canada

Senior Machine Learning Engineer

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Job Title: Machine Learning Engineer - Senior

Location: Toronto, ON

Work Mode: Hybrid (3 days a week onsite)

Description

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:

Creates machine learning models and utilizes data to train models
Focuses on analyzing data to find relations between the input and the desired output
Understands business objectives and develops models that help achieve them, along with metrics to track their progress
Designs and develops machine learning and deep learning systems
Runs machine learning tests and experiments Implements appropriate machine learning algorithms

General Skills:

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

Must Haves:

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. Tech stack: Python, SQL, Power BI, Power Automate, VSCode, Git, Jira, Azure (ML Studio, AI Foundry), Databricks.
Deep understanding of ML algorithms and statistics, including classification, regression, clustering, feature engineering, model evaluation, hyperparameter tuning, drift, retraining, performance optimization and production model troubleshooting.

Public Sector Experience: preferred but not required

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More about this job

Responsibilities

Develop, deploy, integrate, monitor, and operationalize machine-learning solutions, establishing reusable MLOps patterns and automation to move models reliably into production. Analyze data, design and test models, and track their performance to support business objectives and enterprise-scale deployment.

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 have deep knowledge of machine-learning algorithms and statistics, production model troubleshooting, and experience with data preparation, validation, evaluation, tuning, drift, and retraining; public-sector experience is preferred but not required.

Skills

Python
Machine Learning
MLOps
Azure Machine Learning
Azure AI Foundry
CI/CD
Model Deployment
Model Monitoring
Containers
APIs
Automation
SQL
Databricks
Statistics
Feature Engineering
Model Evaluation

Visa sponsorship

Not detected in the job text

Keywords

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

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