Jobs in Toronto, ON and nearby (93,343 jobs)

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

93,343 listings · 10,815 employers Counted Nov 6, 2026. How we count

About these jobs

Employers hiring include Shoppers Drug Mart (1,489 listings), Loblaw Companies Limited (1,302 listings), Scotiabank (973 listings).

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

15,262 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	8,919
CAD / hour	26.00	5,821
USD / year	155,000.00	78
CAD / month	4,500.00	38
CAD / week	2,823.64	29
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 6 hours ago
SH
Registered Nurse - GEN Family Maternity Centre
Scarborough Health Network
Toronto, ON
- Part-time
Added 6 hours ago
WC
Shipping/Receiver
White Cap Canada
Toronto, ON
- Full-time
Added 6 hours ago
H
Manager, Paid Social
Hush
Toronto, ON
- Full-time
Added 6 hours ago
Senior Software Engineer - Kubernetes platform
Cloudflare
Toronto, ON
Added 6 hours ago
SD
Pharmacy Student, Hourly Part Time Flexible Shifts Greenlight Requisition
Shoppers Drug Mart
Toronto, ON
- Part-time
Added 6 hours ago
W
(CAN) Deli Bakery Team Associate
Walmart
Mississauga, ON
- Part-time
Added 6 hours ago
LC
Produce Clerk Part Time Day Greenlight Requisition
Loblaw Companies Limited
Toronto, ON
- Part-time
Added 6 hours ago
AC
Marketing Manager - Cargo
Air Canada
Toronto, ON
- Full-time
Added 6 hours ago
A
PTC Windchill Technical Architect
Accenture
Toronto, ON
- Full-time
Added 6 hours ago
R
Specialist, Client Services
Ryan
Mississauga, ON
- Full-time
Added 6 hours ago
R
Analyst, Credit Advisory, RBCx
RBC
Toronto, ON
- Full-time
Added 6 hours ago
KO
Security Guard & Site Supervisor – GTA
Knights On Guard Security
Toronto, ON
- $17.2 to $19 CAD / hour
- Part-time
Added 6 hours ago
KO
Security Guard & Site Supervisor – GTA
Knights On Guard Security
Toronto, ON
- $17.2 to $19 CAD / hour
- Part-time
Added 6 hours ago
EW
Law Clerk
ERCO Worldwide
Mississauga, ON
- Full-time
Added 6 hours ago
AI
Data Business Analyst - PL/SQL, T-SQL & Data Warehousing
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Added 6 hours ago
RE
Realtime Operations Centre, Operator
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Added 6 hours ago
C
Fullstack Integration Developer Vice President
Citi
Mississauga, ON
- Full-time
Added 6 hours ago
S
Actuarial Co-op/Intern
Segal
Toronto, ON
- Volunteer
Added 6 hours ago
S
Patient Administrative Associate - Barzakay Clinic - Regular Part-Time - 2026-19258 (2026-19258)
Sunnybrook
Toronto, ON
- Part-time
Added 6 hours ago
IC
Corporate Sustainability Manager
Irving Consumer Products
Toronto, ON
- Full-time
Added 6 hours ago
TI
Technical Architect
Themesoft Inc.
Toronto, ON
- Contract
Added 6 hours ago
A
Planning/Engineering/Environmental Intern (January - April 2027)
Arup
Toronto, ON
- Full-time
Added 6 hours ago
VS
Administration Office Assistant (Part-Time) - Canterbury Place (2026-11051)
Verve Senior Living
Toronto, ON
- Part-time
Added 6 hours ago
CC
Industrial Automation Specialist
Colas Canada Inc.
Toronto, ON
- Full-time
Added 6 hours ago
R
Project Engineering Manager
Refresco
Mississauga, ON
- Full-time

Russell Tobin

Machine Learning Engineer

Toronto, ON, Canada

Contract

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Applications open in a new tab.

Job details

Job type: Contract
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Job Title: Machine Learning Engineer - Senior

Job Location: Toronto, ON

Job Type: 130 days contract

Client: Public Sector

Job Title: Machine Learning Engineer - Senior

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.

Location: Hybrid – 3 days a week onsite

Public Sector Experience: preferred but not required

Apply About employer

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, build and evaluate models, run experiments, and ensure solutions meet business objectives and perform effectively at scale.

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, including feature engineering, model evaluation, tuning, drift, retraining, and production troubleshooting.

Skills

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

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
Monitoring
Observability
Machine Learning
Deep Learning
Classification
Regression
Clustering
Feature Engineering
Model Evaluation
Hyperparameter Tuning
Model Drift
Model Retraining
Performance Optimization
Data Cleaning

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