Jobs in Ontario

Jobs across Ontario, Canada. Choose a city or town to search nearby.

182,881 listings · 19,853 employers Counted Oct 30, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (4,714 listings), Shoppers Drug Mart (3,655 listings), Walmart Canada (2,954 listings).

Common roles: Retail sales associate, Practical nurse, Project manager.

30,161 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 / hour	23.00	15,623
CAD / year	80,000.00	11,995
USD / year	100,000.00	750
USD / hour	20.00	606
CAD / month	4,500.00	46
CAD / week	937.50	28
CAD / day	114.00	12

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, 17% hybrid, 82% 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 Ontario

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Added 12 hours ago
S
Registered Practical Nurse - D6 Surgical Oncology - Regular full-time - 2026-19172 (2026-19172)
Sunnybrook
Toronto, ON
- Full-time
Added 12 hours ago
SC
Manager, People & Culture
SiriusXM Canada
Toronto, ON
- Full-time
Added 12 hours ago
SS
Experienced Agency Account Manager
Social Star
Collingwood, ON
- Full-time
Added 12 hours ago
TS
Front Line Worker (Part-Time – Contract)
The Salvation Army in Canada
Toronto, ON
- Part-time
Added 12 hours ago
P
Client Services Associate - January 2027
proSapient
Toronto, ON
- $55,000 to $75,000 CAD / year
- Full-time
Added 12 hours ago
AC
Food Service Supervisor
Aramark Canada
Ottawa, ON
- Full-time
Added 12 hours ago
AR
Pharmacist
Avena Recruitment
Sarnia, ON
- Full-time
Added 12 hours ago
CS
Senior Officer, Estate Administration
CAGP Saskatchewan South
Toronto, ON
- Full-time
Added 12 hours ago
DS
Secondary Teacher (0.5 FTE - Long Term Occasional)
District School Board Ontario North East
Englehart, ON
- Full-time
Added 12 hours ago
DS
Secondary Teacher (0.17 FTE - Long Term Occasional)
District School Board Ontario North East
Kirkland Lake, ON
- Full-time
Added 12 hours ago
DS
Elementary Teacher (1.0 FTE - Long Term Occasional)
District School Board Ontario North East
Timmins, ON
- Full-time
Added 12 hours ago
DS
Elementary French Immersion Teacher (1.0 FTE - Long Term Occasional)
District School Board Ontario North East
South Porcupine, ON
- Full-time
Added 12 hours ago
DS
Indigenous Student Advisor (1.0 FTE - Permanent)
District School Board Ontario North East
Timmins, ON
- Full-time
Added 12 hours ago
AU
Coordinator, Mental Health & Wellness
Algoma University
Brampton, ON
- $82,387 to $102,983 CAD / year
- Full-time
Added 12 hours ago
B
General Repair Technician III
BGIS
Ottawa, ON
- Full-time
Added 12 hours ago
AC
Infant and Young Parent Support Coordinator
Abiona Centre For Infant & Early Mental Health
Toronto, ON
- Full-time
Added 12 hours ago
CC
Diesel Technician - Heavy Duty Truck Services
Crane Carrier (Canada) Limited
Cambridge, ON
- Full-time
Added 12 hours ago
W
Mechanical Engineering Technologist
W3Global
Clarington, ON
- Full-time
Added 12 hours ago
CC
Chemical Operator UF6
Cameco Corporation
Port Hope, ON
- Full-time
Added 12 hours ago
MG
Registered Practical Nurse (PeriAnesthesia Care Unit)
Michael Garron Hospital
Toronto, ON
- Temporary
Added 12 hours ago
MG
Registered Practical Nurse (Surgery - Inpatient Surgery)
Michael Garron Hospital
Toronto, ON
- Temporary
Added 12 hours ago
MG
Food Service Worker
Michael Garron Hospital
Toronto, ON
- Part-time
Added 12 hours ago
HI
Metal Fabricator
Hulleman Industries
Hamilton, ON
- Full-time
Added 12 hours ago
MG
Registered Nurse (Complex Continuing Care - CCCJ5)
Michael Garron Hospital
Toronto, ON
- Temporary
Added 12 hours ago
W&
Associate Lawyer (Family Law)
White & Associates Litigation Law
Orangeville, ON
- Full-time

UniSysTech Consulting

AI Developer

Toronto, ON, Canada
Greater Toronto and Hamilton Area, ON, Canada

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Applications open in a new tab.

Job details

Apply by: Nov 28, 2026
Experience: Advanced AI / ML Expertise: 5+ years of hands-on experience building, training, fine-tuning, and deploying machine learning models and AI applications into production.
Posting language: English
Posted: Oct 29, 2026

Original job description

Position Overview

We are seeking an experienced AI Developer (Mid to Senior Level) to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions. In this role, you will focus on building intelligent back-end systems, automated workflows, and scalable AI capabilities.

While experience with cloud automation in AWS is highly valuable, deep AI/ML expertise is the primary priority for this role. We are looking for an engineer who excels at utilizing modern AI frameworks, LLMs, and intelligent automation to solve complex back-end problems.

Key Responsibilities

AI & Machine Learning Engineering: Lead the design and implementation of production-ready AI/ML capabilities, including Generative AI models, Retrieval-Augmented Generation (RAG) architectures, and predictive solutions.
Intelligent Automations: Build automated back-end pipelines and processes that leverage AI to optimize operational workflows, data processing, and enterprise tooling.
AWS Integration & Cloud Infrastructure: Work closely with AWS services (e.g., SageMaker, Bedrock, Lambda, EventBridge) to host, automate, and scale AI-driven backend services.
Back-End API & Service Development: Architect robust, secure, and performant back-end APIs, microservices, and asynchronous event-driven systems.
MLOps & Pipeline Automation: Implement automated CI/CD workflows for model deployment, monitoring, model drift tracking, and continuous integration/delivery.
Technical Leadership & Architecture: Partner with enterprise architects, data engineers, and security teams to ensure AI systems align with governance, compliance, and enterprise risk standards.

Qualifications & Key Requirements

Must-Have Skills (Top Priority)

Advanced AI / ML Expertise: 5+ years of hands-on experience building, training, fine-tuning, and deploying machine learning models and AI applications into production.
Generative AI & Modern AI Frameworks: Proficiency with LLM orchestration (e.g., LangChain, LlamaIndex), RAG pipeline design, vector databases, and prompt engineering.
Back-End Mastery: Strong proficiency in Python (FastAPI, Flask, or async Python frameworks) and software design patterns focused entirely on backend services, APIs, and data processing.
Automation Engineering: Demonstrated experience automating complex backend tasks, data pipelines, and system workflows using AI-driven approaches.

AWS & Cloud Skills (Secondary Focus)

AWS Cloud Services: Practical experience with core AWS backend and AI infrastructure, such as AWS Bedrock, SageMaker, Lambda, API Gateway, S3, ECS, and EventBridge.
Infrastructure as Code & DevOps: Exposure to CloudFormation or Terraform, alongside standard Git-based CI/CD pipelines.

Nice-to-Have Skills

Background in large enterprise or regulated industries (e.g., Financial Services, Telecommunications).
Knowledge of Responsible AI principles, model governance, and data security standards.
Familiarity with containerization (Docker, Kubernetes/EKS).
Typescript, React, Angular and Java

Work Environment

Hybrid Model: Requirement to work 2 days per week in-office at our Downtown Toronto office, with up to 3 days remote flexibility.

Apply About employer

More about this job

Responsibilities

Design, develop, and deploy production-ready AI and machine learning solutions, including generative AI, RAG architectures, predictive models, and AI-driven backend automation. Build secure and scalable APIs and event-driven services, integrate AWS infrastructure, automate MLOps and CI/CD pipelines, and collaborate with enterprise teams on governance and compliance.

Requirements

Requires 5+ years of hands-on experience building, training, fine-tuning, and deploying AI/ML models and applications, with expertise in LLM orchestration, RAG, vector databases, and prompt engineering. Strong Python backend development and automation experience are essential; practical AWS experience is also sought, with infrastructure as code and CI/CD exposure, and enterprise or regulated-industry experience considered an advantage.

Skills

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
LangChain
LlamaIndex
Vector Databases
Prompt Engineering
Python
FastAPI
Backend API Development
Automation Engineering
AWS
MLOps
CI/CD

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
LangChain
LlamaIndex
Vector Databases
Prompt Engineering
Python
FastAPI
Flask
AWS Bedrock
Amazon SageMaker
AWS Lambda
Amazon API Gateway
Amazon S3
Amazon ECS
Amazon EventBridge
MLOps
CI/CD
CloudFormation
Terraform
Git
Docker
Kubernetes
EKS
TypeScript
React
Angular

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