Toronto, On Prompt engineer Jobs – 339 Openings This Week

Staff Applied ML Engineer
Kaseya Careers —Toronto, ON
- $220,000–$280,000 a year
- SQL
- Machine learning
- Mentoring
Principal AI Engineer
Tangerine Bank —Toronto, ON
- Mentoring
- AI
- Leadership
Staff AI Engineer
Tangerine Bank —Toronto, ON
- System design
- Mentoring
- APIs
Lead Data Scientist
Sanofi EU —Toronto, ON
- $108,900–$157,300 a year
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
8d
Data Scientist Manager
Sanofi EU —Toronto, ON
- $125,300.00–$180,966.66 a year
- Hybrid work
- Doctoral degree
- Computer Science
- English
8d
AI Engineer
Sanofi EU —Toronto, ON
- $94,700.00–$136,766.66 a year
- Hybrid work
- Doctoral degree
- Computer Science
- English
8d
Data Architect
TD Bank —Toronto, ON
- $125,500–$148,000 a year
- Full-time
- Azure
- Machine learning
- Mentoring
- Paid time off
12d
Senior AI/Data Developer, TD Securities
TD Bank —Toronto, ON
- $125,000–$156,000 a year
- Full-time
- APIs
- AI
- Python
- Paid time off
8d
DevOps Specialist III- 1752 - North York
Randstad —North York, ON
- $61.69–$68.62 an hour
- Temporary
- Hybrid work
- Computer Science
- DevOps
- Engineering
Quick apply
9h
AI Engineer
First National Financial —Toronto, ON
- Full-time
- Azure
- Computer Science
- Engineering
Quick apply
14d
Developer Lead (AI-Enabled Systems)
BMO Financial Group —Toronto, ON
- $70,000–$150,000 a year
- Full-time
- Azure
- Oracle
- System design
- Tuition reimbursement
- Life insurance
AI & Machine Learning Engineer, Level 17 or 18 - 803 EN
Export Development Canada | Exportation et développement Canada —Toronto, ON
- $84,698–$112,931 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Relocation assistance
Quick apply
2d
AI Quality and Evaluation Lead
First National Financial —Toronto, ON
- Full-time
- Computer Science
- Engineering
- SQL
Quick apply
14d
Lead Scientist - Applied ML
Canadian Tire Corporation, Ltd. —Toronto, ON
- $79,000–$131,000 a year
- Full-time
- SQL
- Machine learning
- Mentoring
- Store discount
- Profit sharing
Quick apply
Prompt Engineer
Netomi —Toronto, ON
- Full-time
- Remote
- Computer Science
- Master's degree
- Bachelor's
Quick apply
AI Engineer Intern
ShyftLabs —Toronto, ON
- $20–$30 an hour
- Hybrid work
- Computer Science
- Engineering
- Research
Quick apply
AI Solutions Developer (Full-time, 1 year contract with possibility for extension)
BrandActive —Toronto, ON
- $65,000–$90,000 a year
- Immediate opening
- Hybrid work
- Azure
- Software troubleshooting
- Java
- Dental care
- Paid time off
Quick apply
Software Engineer Intern
Stem Health Inc. —Toronto, ON
- Contract
- Azure
- Software troubleshooting
- Maintenance
Quick apply
Audio Editing Specialist - Freelance AI Trainer Project
Meridial —Toronto, ON
- $8–$65 an hour
- Remote
- Engineering
- Master's degree
- Bachelor's
- Paid time off
Associate AI Engineer / AI Engineer
Applied Systems Canada —Toronto, ON
- $80,000–$120,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Databases
- Dental care
- Flextime

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prompt engineer jobs near toronto, on

Staff Applied ML Engineer

Kaseya Careers -
Toronto, ON

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Job details

$220,000–$280,000 a year

Qualifications

Law
PyTorch
Coaching
SQL
Pandas
Machine learning
Mentoring
Data analytics
APIs
Data science
AI
Model evaluation

Full job description

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.

Job Title:

Staff Applied Machine Learning Engineer (AI Workflows & Product Intelligence)

Why Kaseya?

Join a fast-growing company that's transforming the IT industry. At Kaseya, you'll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a highimpact role.

Join the Kaseya growth rocket ship and see how we are #ChangingLives!

Job Summary

We're hiring a Staff Applied Machine Learning Engineer to build AI-powered workflows and data-driven product capabilities across Kaseya's product suite. This role focuses on applied ML, data analysis, model development, and production integration of AI features that help classify requests, recommend actions, route work, enrich data, and automate repetitive workflows. You'll partner with Product, Engineering, Data, and ML teams to deliver production-ready AI capabilities while helping teams adopt repeatable patterns for model evaluation, workflow design, and responsible AI usage.

Roles & Responsibilities

Analyze product and customer data using Python, pandas, SQL, PySpark, or similar tools to identify patterns and modeling opportunities
Build and productionize ML models for classification, recommendations, similarity, ranking, routing, and prediction use cases
Design AI-powered workflows that transform unstructured inputs such as tickets, emails, forms, messages, and logs into structured data
Partner with Engineering teams to integrate ML models and AI workflows into production systems through APIs, services, and automation logic
Define evaluation methods, telemetry, feedback loops, and monitoring practices for AI-powered product features
Build reusable patterns, templates, and best practices for data ingestion, feature creation, model usage, and responsible AI implementation
Provide technical guidance to product teams on AI opportunity sizing, ML design, model trade-offs, and production readiness
Mentor junior data and ML engineers through code reviews, model reviews, pairing, and technical coaching

Required Qualifications

5+ years of experience in data science, machine learning engineering, applied ML, or a related production-focused role
Experience building ML models for classification, recommendation, similarity, ranking, prediction, or related product use cases
Experience using Python, pandas, SQL, and PyTorch or similar tools for data analysis and model development
Experience using PySpark or similar distributed data processing frameworks
Experience integrating ML models into production systems through APIs, microservices, batch workflows, or automated product workflows

Preferred Qualifications

Experience with LLM-powered workflows, RAG, prompt engineering, fine-tuning, tool use, or agent orchestration
Experience building agent-assist features, automated resolution workflows, or AI-powered operational products
Experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or similar platforms
Experience with production model monitoring, model evaluation, online experiments, or feedback loops
Experience applying matrix factorization, embeddings, clustering, dimensionality reduction, or latent factor modeling
Experience working in a platform or enablement role supporting multiple product teams
Experience mentoring data scientists, ML engineers, analysts, or software engineers on applied ML practices

Compensation Range

The base salary range for this job is CAD $220,000 – $280,000 / year.

An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, and abilities of the applicant. At Kaseya, certain roles are eligible for benefits and additional rewards. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.

Additional Information

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

#IND525

Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

Apply Now

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prompt engineer jobs in toronto, on

Staff Applied ML Engineer

Principal AI Engineer

Staff AI Engineer

Lead Data Scientist

Data Scientist Manager

AI Engineer

Data Architect

Senior AI/Data Developer, TD Securities

DevOps Specialist III- 1752 - North York

AI Engineer

Developer Lead (AI-Enabled Systems)

AI & Machine Learning Engineer, Level 17 or 18 - 803 EN

AI Quality and Evaluation Lead

Lead Scientist - Applied ML

Prompt Engineer

AI Engineer Intern

AI Solutions Developer (Full-time, 1 year contract with possibility for extension)

Software Engineer Intern

Audio Editing Specialist - Freelance AI Trainer Project

Associate AI Engineer / AI Engineer

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