IT & data jobs in Canada

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

Counted Oct 31, 2026

Hiring at a glance

View jobs

Open jobs: 4,458
Employers: 1,977

Advertised starting pay

Average starting payCAD / year: $96,142Across 398 listings
Average starting payCAD / hour: $50.08Across 298 listings
Average starting payUSD / year: $121,177Across 59 listings
Average starting payUSD / hour: $48.05Across 18 listings

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

Where work happens

Remote: 4%186 listings
Hybrid: 38%1,699 listings
On-site: 57%2,559 listings

Not specified: <1% (14 listings)

Employers hiring include TD (79), S M Software Solutions Inc (64), J&M Group (47).

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 2 months ago
UO
Business Systems Analyst
University of Waterloo
Waterloo, ON
- Full-time
Added 2 months ago
O
BI & Data Analyst (12 Months Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Added 2 months ago
EH
Machine Learning Scientist
Eli Health
Montreal, QC
- Full-time
Added 1 month ago
C
Healthcare Research & Data Analyst
Clarivate
Toronto, ON
- $54,400 to $68,000 CAD / year
- Full-time
…and MedTech companies. We combine deep domain expertise and data driven analysis to deliver relevant insights and customized, actionable solutions for our clients in the areas of new…
Added 2 months ago
KC
Business Systems Analyst – ERP & Business Intelligence
Kinetic Custom Trailers
Penticton, BC
- $80,000 to $100,000 CAD / year
…Intelligence to help transform business systems and operational data into better visibility, stronger decision-making, and improved organizational…
Added 2 months ago
I
Auditeur QA SR, Sr. QA Auditor
IQVIA
Montreal, QC
- Full-time
Added 2 months ago
RS
Security Operations Analyst
R Systems
Mississauga, ON
- Contract
…Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well…
Added 1 month ago
OT
Lead Systems Administrator
Open Text Corporation
Richmond Hill, ON
- Other
Added 2 months ago
PF
Senior Database Administrator
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Added 2 months ago
C
Healthcare Research & Data Analyst
Clarivate
Toronto, ON
- $54,400 to $68,000 CAD / year
- Full-time
…and MedTech companies. We combine deep domain expertise and data driven analysis to deliver relevant insights and customized, actionable solutions for our clients in the areas of new…
Added 2 months ago
F
Service Desk Analyst (12-month contract) | Analyste, Services clients TI (contrat de 12 mois)
Fasken
Canada
- Full-time
Added 2 months ago
F
Audio Visual Service Desk Analyst | Analyste, Services clients TI et audiovisuel
Fasken
Canada
- Full-time
Added 2 months ago
JG
Data Engineer
J&M Group
Toronto, ON
- Contract
6 8+ years in production data pipeline L1/L2 support.
Added 2 months ago
PX
Consultant, Data Scientist (Cortex AI)
Project X Ltd.
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 7 months ago
A
user support technician
Audcomp
Ancaster, ON
- Full-time
Added 2 months ago
SG
Senior Machine Learning Engineer
SCIENTIFIC GAMES
Toronto, ON
- 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 2 months ago
SG
Senior Data Scientist
SCIENTIFIC GAMES
Toronto, ON
- 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 2 months ago
PS
Data Administrator
PlanIT Search
Montreal, QC
- Contract
We are currently seeking a Data Administrator to join a financial services team supporting client and counterparty data across multiple operational and trading systems.
Added 2 months ago
CS
IT Support & Infrastructure Administrator
Crane Supply - Canada's Premier PVF Distributor | Premier distributeur de PVF au Canada
Vaughan, ON
- $55,000 to $60,000 CAD / year
- Full-time
Added 2 months ago
DC
IT Junior Systems Administrator
Delta Controls
Surrey, BC
- Full-time
Added 2 months ago
Systems Administrator
FortisBC
Surrey, BC
Added 2 months ago
M(
Senior Applied Machine Learning Engineer - Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- $123,000 to $180,000 CAD / year
- Full-time
- Remote
Added 2 months ago
R
Senior Technical Support Engineer (T3)
Rewind
Remote, Canada
- $100,000 to $120,000 CAD / year
- Full-time
- Remote
Rewind is a service that protects the critical data that powers businesses of all sizes. Our focus is on backing up data that lives in the cloud - in apps like Jira, GitHub, Confluence and…
Added 2 months ago
Sr. Data Engineer, WW Pricing Data and Insights
Amazon
Vancouver, BC
You will be joining WW Pricing Data & Analytics team which consists of several Data Engineers and Business Intelligence Engineers.
Added 4 months ago
FH
Data Scientist
Fraser Health
Surrey, BC
- Full-time
Are you looking for that opportunity to put your established data expertise to use in healthcare? Do you take responsibility for your own performance and aim to model integrity, resilience…

SCIENTIFIC GAMES

Senior Machine Learning Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

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

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

Education

Required Qualifications

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

Build self-service machine learning tooling and golden paths to enable Data Scientists to independently deploy models. Establish foundational ML infrastructure, including model registries, CI/CD pipelines, and observability standards.

Requirements

Requires a Master's or Bachelor's degree in a STEM field and 3+ years of experience in ML or platform engineering. Proficiency in Python, cloud-native deployment patterns, and productionizing ML workflows is essential.

Skills

Python
PyTorch
TensorFlow
Docker
Kubernetes
GitHub Actions
MLflow
CI/CD
API Design
Model Deployment
Batch Inference
Real-time Serving
ML Infrastructure
Platform Engineering
Software Engineering
Cloud-native Deployment

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
MLOps
Python
PyTorch
TensorFlow
Docker
Kubernetes
GitHub Actions
MLflow
CI/CD
Model Registry
Batch Inference
Real-time Serving
API
Event-driven Pipelines
Databricks
PySpark
Airflow
Feature Store
A/B Testing
Observability
Platform Engineering
Software Engineering
STEM
Cloud-native
Canary Rollout
Shadow Deployment
Inference APIs
Developer Experience
ML Infrastructure

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