Jobs in Vaughan, ON and nearby (91,156 jobs)

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

91,156 listings · 10,428 employers Counted Nov 9, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (2,128 listings), Loblaw Companies Limited (1,557 listings), Shoppers Drug Mart (1,394 listings).

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

14,146 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	7,851
CAD / hour	27.00	5,808
USD / year	158,000.00	73
CAD / month	4,500.00	37
CAD / week	1,650.00	31
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, 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

Email me new jobs Save this search

Added 1 hour ago
MC
Beauty Allocator
Miniso Canada
Toronto, ON
- Full-time
Added 1 hour ago
Senior Associate, OOH Solutions
WPP Media
Toronto, ON
Added 1 hour ago
Senior Asset Management Consultant
WSP
Toronto, ON
Added 1 hour ago
CT
Senior Analyst, Integration & Strategy Enablement
Canadian Tire Corporation
Toronto, ON
- Full-time
Added 1 hour ago
FG
FOX CLOTHING - Sales Associate - Sherway Garden
Fox Group Canada Inc.
Toronto, ON
- Part-time
Added 1 hour ago
CT
Manager, Workday & HR Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
Added 1 hour ago
B
Associate, Internal Sales, Intermediary Distribution
BMO
Toronto, ON
- Full-time
Added 1 hour ago
B
Senior Manager, Insurance Finance
BMO
Toronto, ON
- Full-time
Added 1 hour ago
B
Associate, Internal Sales, Intermediary Distribution
BMO
Toronto, ON
- Full-time
Added 1 hour ago
WC
Housing Services Coordinator (2026-415-HHS)
WoodGreen Community Services
Toronto, ON
- Full-time
Added 1 hour ago
WC
Cleaner (2026-408-HHS)
WoodGreen Community Services
Toronto, ON
- Contract
Added 1 hour ago
A
Forklift Operator FT
Agropur
Toronto, ON
- Full-time
Added 1 hour ago
M
Account Executive
Mirego
Toronto, ON
- Full-time
Added 1 hour ago
TI
Vehicle Data Specialist
Trader Interactive
Toronto, ON
- Full-time
Added 1 hour ago
M
Vice President, Group Functions Technology - Finance & Treasury Systems
Manulife
Toronto, ON
- Full-time
Added 1 hour ago
Cleaner
Valor Distributions
Toronto, ON
Added 1 hour ago
LC
Life Enrichment Worker_FT-Perm
LOFT Community Services
Toronto, ON
- $52,022 to $61,821 CAD / year
- Full-time
Added 1 hour ago
EC
Social Worker (MSW)
ErinoakKids Center for Treatment and Development
Brampton, ON
- Full-time
Added 1 hour ago
Intern - Marketing (Web)
Kensington
Toronto, ON
Added 1 hour ago
DevOps Engineer
HSBC Global Services Limited
Toronto, ON
Added 1 hour ago
BI/Data Analyst Intern
Kensington
Toronto, ON
Added 1 hour ago
Client Services Officer, Roynat Capital
Scotiabank
Toronto, ON
Added 1 hour ago
GT
Cashier (Part-Time)
Giant Tiger
Toronto, ON
- Part-time
Added 2 hours ago
E1
Hiring Now! Entry-Level English Teacher (ESL) | No Experience Needed
English 1
Toronto, ON
- Full-time
Added 2 hours ago
OF
Investment Advisor
Optimize Financial Group
Toronto, ON
- Full-time

Iris Software Inc.

AI/ML Lead (Sagemaker)

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Dec 9, 2026
Posting language: English
Posted: Nov 9, 2026

Original job description

Iris's client, one of the world's largest multinational Investment banking and financial services corporations, is looking to hire an AI/ML Lead opportunity.

Work location: Toronto, ON / Halifax / Jersey City, NJ / Chicago, IL (Hybrid Onsite – 2 to 3 days a week office) – (any work location is fine)

Mandatory skills: Sagemaker, AWS, AI/ML

ML Ops / AI Platform technical product lead/ manager

Job description:

Require a strong blend of technical depth, system design and leadership and management skills and apply these principles to building out an evolving ML / AI platform on cloud.
Oversee the design, implementation, and maintenance of ML Ops solution using AWS services like Amazon SageMaker and other platforms.
Own relationship with key internal stakeholder management / drive product roadmap - Ensure seamless collaboration across cross-functional teams including data scientists, data engineers, software developers, and business stakeholders, adapting communication for various personas across LoBs.
Influence and collaborate with various stakeholders including platform users, architects, cloud engineering, DevOps and others.
Lead and manage a geographically distributed team (offshore) of talented engineers, provide technical directions, coach junior members, and manage priorities.

Good fit if individual has:

Proven experience in end-to-end lifecycle of ML Ops /GenAI platform build out in cloud (AWS preferred).
Has several years of experience in technical product management or cloud platform product leadership.
Has hands on experience with cloud infrastructure. AWS Preferred. Strong working knowledge of AWS services such as SageMaker and related services such as ECS, IAM, Cloud Watch, S3 etc.
Nice to have familiarity with Infra-as-code such as AWS CDK.
Proficient in GitHub workflows, CI CD, and version control practices.
Proficient in Python and its ecosystem of tooling such as Jupyter Notebooks, Packaging, Documentation.

Apply About employer

More about this job

Responsibilities

Lead the design, implementation, and maintenance of cloud-based MLOps solutions, including platforms built with Amazon SageMaker and other AWS services. Own stakeholder relationships and the product roadmap, coordinate cross-functional teams, and lead a geographically distributed engineering team through technical direction, coaching, and priority management.

Requirements

The role calls for extensive experience building and managing cloud-based MLOps or GenAI platforms, preferably on AWS, along with technical product or cloud platform leadership experience. Candidates should have hands-on cloud infrastructure experience and working knowledge of SageMaker, related AWS services, infrastructure as code, GitHub workflows, CI/CD, version control, and Python tooling.

Skills

Amazon SageMaker
AWS
AI/ML
MLOps
AI Platform Leadership
Technical Product Management
Cloud Infrastructure
System Design
Stakeholder Management
Team Leadership
Amazon ECS
AWS IAM
Amazon CloudWatch
Amazon S3
AWS CDK
Python

Visa sponsorship

Not detected in the job text

Keywords

Amazon SageMaker
AWS
Artificial Intelligence
Machine Learning
MLOps
GenAI
Cloud Platform
Cloud Infrastructure
Technical Product Management
Product Roadmap
System Design
Amazon ECS
AWS IAM
Amazon CloudWatch
Amazon S3
AWS CDK
Infrastructure As Code
GitHub Workflows
CI/CD
Version Control
Python
Jupyter Notebooks
Software Packaging
Technical Leadership
Stakeholder Management
Cross-Functional Collaboration
Distributed Teams
Investment Banking
Financial Services

Report this job