toronto, on natural language processing Jobs – 54 Openings This Week

AI PRACTITIONER
ONT.COLLEGE OF TEACHERS —Toronto, ON
- $88,806–$102,253 a year
- Full-time
- Azure
- Computer Science
- SQL
Quick apply
21h
AI Engineer Intelligent Systems & Analytics
QMC Metering Solutions —North York, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Wellness program
- Commuter benefits
Quick apply
Freelance Data Scientist, ad hoc
Klick Health —Toronto, ON
- $40–$45 an hour
- Contract
- Remote
- Azure
- Data analysis skills
- Master's degree
Quick apply
2d
GenAI & Python Specialist - Operate
Deloitte —Toronto, ON
- $72,000–$125,000 a year
- Temporary
- Hybrid work
- Recruiting
- APIs
- AI
Staff Applied AI Agent Developer
Google —Toronto, ON
- $207,000–$300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Senior Machine Learning Researcher
Royal Bank of Canada —Toronto, ON
- Full-time
- Doctoral degree
- Computer Science
- Research
Machine Learning Engineer II, Core Engineering
Pinterest —Toronto, ON
- $170,840–$220,840 a year
- Doctoral degree
- Master's degree
- SQL
Senior Manager, Data Science
Numeris —Toronto, ON
- $120,000–$150,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Analysis skills
- Dental care
- Tuition reimbursement
Quick apply
Senior Data Scientist
Celestica —Toronto, ON
- Remote
- Azure
- SQL
- Machine learning
ML Engineer
Human Computer Lab —Toronto, ON
- Full-time
- Hybrid work
- C++
- Machine learning
- AI
Quick apply
Data Science Manager
Deloitte —Toronto, ON
- $84,000–$175,000 a year
- Hybrid work
- Azure
- Oracle
- Master's degree
Senior Consultant - AI and Data - Toronto
EY —Toronto, ON
- $90,500–$136,000 a year
- Azure
- Computer Science
- Engineering
- Dental care
12d
Full Stack Data Science Engineering Specialist
TD Bank —Toronto, ON
- $187,500–$261,000 a year
- Full-time
- Bilingual
- Azure
- English
- Paid time off
RQ09508 - Sr. Machine Learning Engineer
Source Code —Toronto, ON
- Full-time
- Hybrid work
- Machine learning
- Python
Quick apply
Principal Machine Learning Engineer
Workday —Toronto, ON
- $188,000–$282,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Machine Learning Engineer
NTENT —Toronto, ON
- Full-time
- Computer Science
- Java
- Master's degree
- Designated paid holidays
- Disability insurance
Quick apply
PhD or PostDoc Position in Equitable and Accessible AI
OCAD University —Toronto, ON
- $55,000 a year
- Temporary
- Doctoral degree
- Research
- JavaScript
- Flexible schedule
Senior Data Scientist II
LexisNexis —Toronto, ON
- $101,800–$151,800 a year
- Full-time
- Azure
- AWS
- Machine learning
- Wellness program
- Disability insurance
Data Scientist II
Scribd, Inc. —Toronto, ON
- $118,000–$123,000 a year
- Full-time
- Computer Science
- Master's degree
- SQL
- Disability insurance
- Dental care
L4 Technical Professional
TELUS —Toronto, ON
- $86,000–$136,000 a year
- Full-time
- Oracle
- Doctoral degree
- Computer Science

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natural language processing jobs near toronto, on

AI PRACTITIONER

ONT.COLLEGE OF TEACHERS -
Toronto, ON

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Job details

Permanent | Full-time
$88,806–$102,253 a year
21 hours ago

Qualifications

Cloud infrastructure
Azure
Computer Science
Information Systems
Enterprise architecture
Change management
SQL
Bachelor's
Machine learning
Natural language processing
AI
Python

Full job description

Posting 26-36

AI Practitioner

Enterprise Strategy & Data Management Unit, Digital Technology & Services Department

Permanent Position, Category 6, Hiring Range $88,806 - $102,253

New Vacancy – One position

The Artificial Intelligence (AI) Practitioner will be responsible for designing, developing, implementing and optimizing AI-driven solutions that improve efficiency and productivity by reducing manual effort. This role requires demonstrated expertise and a strong track record in leading design, development, and implementation of AI solutions, with a clear emphasis on alignment with enterprise strategy and governance frameworks

Responsibilities:

AI Solution Development and Delivery:

Deliver AI solutions leveraging Microsoft Azure AI services, Power Platform AI Builder, and Copilot integrations into production systems
Implement Machine Learning (ML) and natural language processing (NLP) solutions for tasks such as classification, summarization, and predictive analytics
Drive end-to-end model lifecycle execution, from deployment to continuous optimization, balancing enterprise-grade delivery with agile experimentation
Establish robust monitoring and operational practices, including performance tracking, drift detection, capacity planning, version control, and production support
Evaluate and optimize AI tools and platforms to drive continuous improvement, enhance efficiency, and reduce manual effort
Create documentation and conduct training sessions with stakeholders to increase AI adoption
Advance enterprise AI maturity by identifying and prioritizing high-value AI use cases aligned with business objectives, focusing on measurable impact and ROI
Develop and maintain an AI roadmap that integrates emerging technologies (e.g., Gen AI, agentic AI) into business processes and services

AI Governance:

Create and operationalize governance frameworks covering privacy and security impact assessments, AI risk and compliance, and data governance standards (classification, retention, auditability)
Lead end-to-end model lifecycle oversight, ensuring robust controls for model validation, monitoring, and regulatory alignment
Monitor compliance of AI solutions with organizational AI ethics standards, regulatory requirements, and responsible AI principles

Enterprise Architecture:

Create and maintain enterprise architecture frameworks and reference models
Collaborate with solution architects to ensure all solutions and enhancements align with existing technical architecture and business value streams
Establish and operationalize governance frameworks for technology solution reviews, lifecycle oversight, and exception management
Provide inputs to project teams on technology selection and integration
Design and implement controls and monitoring processes to minimize security vulnerabilities and operational risks

Qualifications, Skills & Experience:

University degree in information systems, information management, computer science or a related field, or an equivalent combination of education and experience
3-5 years of progressive experience designing and deploying AI solutions in enterprise environments, including large language models, prompt engineering and autonomous AI workflows
Proficiency with Azure AI, Python, SQL and Power Platform, with experience in data transformation and machine learning model development
Experience with AI governance, responsible AI principles, data privacy, security and policy frameworks in enterprise settings
Communication, stakeholder engagement and problem-solving skills, with the ability to translate business needs into practical AI solutions
Experience with ML frameworks, Copilot Studio, agentic AI, cloud infrastructure and change management is an asset
Strong proficiency in Cloud infrastructure
Understanding of responsible AI principles, including bias mitigation, data privacy, and model transparency
Experience developing and operationalizing data governance, security, and AI policy frameworks in enterprise environments
Experience in change management and applying responsible AI principles to support ethical, compliant, and risk-informed decision-making

To apply, please submit your cover letter and resume through our application portal no later than 16 June 2026.

We use Artificial Intelligence (AI) screening to sort applications. Trained staff review applications before decisions are made.

The Ontario College of Teachers offers competitive salaries, pension, comprehensive benefits and a modern, progressive work environment. This position operates with a mix of remote and in-office workdays.

Ontario College of Teachers is an equal opportunity employer committed to inclusive, barrier-free recruitment and selection processes and work environment. We will accommodate the needs of applicants under the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA) throughout all stages of the recruitment and selection process. Please advise the Human Resources Department to ensure your accessibility needs are accommodated throughout this process. Information received relating to accommodation measures will be addressed confidentially.

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Refine Your Search

natural language processing jobs in toronto, on

AI PRACTITIONER

AI Engineer Intelligent Systems & Analytics

Freelance Data Scientist, ad hoc

GenAI & Python Specialist - Operate

Staff Applied AI Agent Developer

Senior Machine Learning Researcher

Machine Learning Engineer II, Core Engineering

Senior Manager, Data Science

Senior Data Scientist

ML Engineer

Data Science Manager

Senior Consultant - AI and Data - Toronto

Full Stack Data Science Engineering Specialist

RQ09508 - Sr. Machine Learning Engineer

Principal Machine Learning Engineer

Machine Learning Engineer

PhD or PostDoc Position in Equitable and Accessible AI

Senior Data Scientist II

Data Scientist II

L4 Technical Professional

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