IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 23, 2026

Hiring at a glance

View jobs

Open jobs: 2,643
Employers: 1,288

Advertised starting pay

Average starting payCAD / year: $99,040Across 248 listings
Average starting payCAD / hour: $47.75Across 79 listings
Average starting payUSD / year: $117,708Across 55 listings
Average starting payUSD / hour: $55.50Across 10 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%124 listings
Hybrid: 38%1,017 listings
On-site: 56%1,482 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (55), Royal Bank of Canada (45), TD (45).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

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.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Added 1 month ago
Senior Machine Learning Engineer
Unity Technologies
Montreal, QC · CAN-Montreal
Full-time
Added 1 month ago
Consultant, IT Systems Administrator (Airflow/Snowflake)
Project X
Toronto, ON
Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 1 month ago
IT Support Specialist (Chinese Speaking Preferred)
Kiokii Inc
Markham, ON
$44,000 to $48,000 CAD / year
Full-time
Added 1 month ago
Technical Project Manager – Embedded Software
Paradigm Electronics Inc.
Ottawa, ON
$105,000 to $130,000 CAD / year
Full-time
Added 1 month ago
Analyst, Model Development Team (Quantitative Analyst) - Toronto
Fitch Ratings
Toronto, ON
Full-time
Added 1 month ago
Senior Data Analyst
EvenUp
Toronto, ON
$154,907 to $246,445 USD / year
Full-time
Added 1 month ago
Senior Information Security Analyst (Vulnerability Governance)
TD
Toronto, ON
Full-time
Added 1 month ago
Machine Learning Engineer Lead
Vancity
Vancouver, BC · Toronto, ON
Full-time
Added 1 month ago
Systems Administrator (Service)
TLC Solutions
Langley (District), BC · Langley, British Columbia
Full-time
Added 1 month ago
Data Scientist (AI/ML)
Project X
Toronto, ON
Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 1 month ago
Technical Project Manager
PROVINCIAL AEROSPACE LTD
St. John's, NL · Halifax, NS · Ottawa, ON
Full-time
Added 1 month ago
Software Development Manager, RDS Aurora Control Plane
Amazon
Toronto, ON
Added 1 month ago
IT Support Associate , OTS
Amazon
Ottawa, ON
Added 1 month ago
Senior Business Systems Analyst
Aquanow
Toronto, ON
$110,000 to $135,000 CAD / year
Full-time
Added 2 months ago
Sr Data Scientist Commercial Analytics - Corporate
MGM Resorts International
Burlington, ON
Full-time
Added 1 month ago
Coupa System Administrator - Procurement
KPMG Canada
Toronto, ON
Full-time
Added 1 month ago
AI Platform & Machine Learning Engineer
XYZ Reality
Remote, Canada
Full-time · Remote
Added 1 month ago
Systems Analyst/Project Coordinator
Ducks Unlimited Canada
Stonewall, MB
Full-time
Added 1 month ago
Senior Machine Learning Engineer
Scientific Games
Toronto, ON · HR Toronto - Canada
Full-time
…We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation,…
Added 1 month ago
Senior Data Scientist
Scientific Games
Toronto, ON · HR Toronto - Canada
Full-time
…We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation,…
Added 1 month ago
Service Desk Analyst
Symbiotic Digital
ON · Downtown Toronto (Harbourfront East / Union Station / Toronto Island), Ontario
Contract
Added 1 month ago
Data Analyst and Reporting Tools Developer
Fidelity Canada
Mississauga, ON
Full-time
Added 1 month ago
Coupa System Administrator - Procurement
KPMG Canada
Toronto, ON
Full-time
Added 1 month ago
Business Systems Administrator
Focus on the Family Canada
Langley (District), BC · Langley, BC
Internship
Added 1 month ago
Sr. Business Systems Analyst (Data Services)
CGI
Toronto, ON
Full-time
Lead business systems analysis activities for enterprise Payments and data transformation initiatives within the Banking domain.

Scientific Games

Senior Machine Learning Engineer

Toronto, ON, Canada
HR Toronto - Canada, Canada

Job type: Full-time
Experience: 3+ years of hands-on experience in ML engineering, platform engineering, or production ML systems
Posting language: English
Posted: Aug 19, 2026

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Applications open in a new tab.

Original job description

Scientific Games:

Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.

Position Summary

About the Role

We are looking for a Senior Machine Learning Engineer to help build the foundations of our machine learning platform from the ground up. This role is not about creating a centralized gatekeeping team. Instead, the mission is to build self-service ML tooling and golden paths that enable Data Scientists to independently take models from experimentation to reliable production deployment across batch and real-time use cases. You will partner closely with Staff MLEs, Data Scientists, and platform stakeholders to establish the first generation of reusable ML infrastructure, deployment workflows, observability standards, and developer experience patterns that scale across the organization

**This position will start remotely and transition to a hybrid role. Candidates must be local to Toronto, ON.

Qualifications

Key Responsibilities

Build reusable self-service tooling for model packaging, deployment, batch inference, and real-time serving
Develop platform capabilities that enable Data Scientists to independently deploy, monitor, and iterate on their own models in production Build foundational ML workflows including model registry, environment promotion, rollback, feature access patterns, and inference APIs
Design CI/CD pipelines for automated training, validation, shadow deployment, canary rollout, rollback, and full production promotion workflows
Establish golden-path templates, SDKs, CLIs, and reference implementations to standardize ML system delivery
Contribute to observability standards across model health, latency, feature freshness, data quality, and business KPI monitoring
Partner with Staff MLEs to shape the first-generation architecture of the ML platform

Required Qualifications

Education:

Master’s degree in Computer Science, Engineering, Machine Learning, Software Engineering, or another related STEM field
Bachelor’s degree in a related STEM field with strong equivalent industry depth is also acceptable

Experience:

3+ years of hands-on experience in ML engineering, platform engineering, or production ML systems
Proven experience building production batch and real-time ML systems • Experience working closely with Data Scientists to productionize models and experimentation workflows
Strong experience building reusable tooling, frameworks, or internal developer platforms

Technical Skills:

Strong Python and software engineering fundamentals
Hands-on experience with PyTorch and TensorFlow model deployment workflows
Experience with Docker, Kubernetes, and cloud-native deployment patterns
Strong CI/CD experience using GitHub Actions and cloud-native CI/CD workflows
Experience with MLflow, model registry workflows, and multi-environment promotion
Strong understanding of API-based inference services, async batch scoring, and event-driven pipelines

Soft Skills:

Strong collaboration with Data Scientists and product engineering teams
Builder mindset with focus on developer experience and adoption
Ability to translate infrastructure complexity into simple self-service workflows

Preferred Qualifications:

Experience building internal ML platforms from zero to first scaled adoption
Experience with feature stores and reusable feature access SDKs
Familiarity with Databricks, PySpark, Airflow, or equivalent orchestration tooling
Experience with self-service experimentation and A/B testing tooling
Experience designing platform abstractions that maximize DS autonomy without compromising reliability

SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster.

Apply About employer

More about this job

Responsibilities

You will build reusable self-service tooling and platform capabilities to enable Data Scientists to independently deploy and monitor models in production. Additionally, you will design CI/CD pipelines and establish observability standards to ensure reliable ML system delivery across the organization.

Requirements

The role requires a Bachelor's or Master's degree in a STEM field and at least 3 years of hands-on experience in ML or platform engineering. Candidates must possess strong software engineering fundamentals and experience with production-grade ML systems, including model deployment and infrastructure workflows.

Skills

Python
Machine Learning Engineering
PyTorch
TensorFlow
Docker
Kubernetes
CI/CD
GitHub Actions
MLflow
API Development
Data Science
Platform Engineering
Cloud-native deployment
Model Registry
Feature Stores
System Architecture

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Platform Engineering
Python
PyTorch
TensorFlow
Docker
Kubernetes
CI/CD
GitHub Actions
MLflow
Model Registry
API
Batch Inference
Real-time Serving
Observability
Data Science
Cloud-native
Databricks
PySpark
Airflow
Feature Stores
A/B Testing
Software Engineering
Infrastructure
Developer Experience
Automation
System Architecture
Lottery Industry
Data Analytics
iLottery

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