IT & data jobs in Canada

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

Counted Oct 5, 2026

Hiring at a glance

View jobs

Open jobs: 2,546
Employers: 1,318

Advertised starting pay

Average starting payCAD / year: $97,876Across 249 listings
Average starting payCAD / hour: $50.05Across 85 listings
Average starting payUSD / year: $118,422Across 50 listings

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

Where work happens

Remote: 5%131 listings
Hybrid: 40%1,012 listings
On-site: 55%1,395 listings

Not specified: <1% (8 listings)

Employers hiring include J&M Group (39), TD (38), Amazon (36).

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 25 days ago
MR
Data Architect
MPA Recruitment
Toronto, ON · Greater Toronto Area, Canada
- $170,000 to $200,000 CAD / year
- Full-time
As a Data Solution Architect (Manager), you’ll be responsible for a multi- skilled agile team to design and deliver contemporary data solutions. You will be a quality orientated pragmatist,…
Added 25 days ago
C
Big Data Developer
Cognizant
Toronto, ON
- $53,000 to $108,000 CAD / year
- Full-time
As a Big Data Engineer, you will make an impact by designing, developing, and optimizing scalable data platforms, ETL processes, and data pipelines that enable business-critical analytics…
Added 25 days ago
C
Analyste fonctionnel sénior, D365 F&O
CGI
Montreal, QC
- Full-time
Added 24 days ago
T
Data Analyst (BI Specialist) - Contract
Tayco
Remote, Canada
- Full-time
- Remote
The BI Specialist / Data Analyst is responsible for turning the data produced by Tayco's manufacturing and business systems into reporting that management and senior management can act on.…
Added 5 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 USD / year
- Full-time
Added 5 months ago
O
System and Network Administrator
Olymbec
Montreal, Quebec
- $75,000 to $90,000 CAD / year
- Full-time
Added 5 months ago
TS
Data Engineer
T-Rex Solutions
Remote, Canada
- $50,000 to $94,000 USD / year
- Full-time
- Remote
T-Rex Solutions is looking to select a Data Engineer to support our Internal Revenue Service (IRS) EDOS program. The overall mission of this program is to modernize the IRS legacy Tax…
Added 5 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
…You'll own the complete development lifecycle, from synthetic data generation and model…
Added 2 months ago
S
Lead Data Scientist
Sixone
Burnaby, British Columbia
- Full-time
Added 2 months ago
V
Staff AI Data Scientist
Verily
Remote, Canada
- Full-time
- Remote
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and…
Added 25 days ago
Analyst, Model Development Team (Quantitative Analyst) - Toronto
Fitch Group
Toronto, ON
Added 2 months ago
CC
Business Systems Analyst
CareRx Corporation
Toronto, Ontario · Ontario
- Full-time
Added 25 days ago
DI
Systems Administrator
Draganfly Inc.
Burnaby, BC
- Full-time
Added 25 days ago
A
Data Scientist / Analytics Engineer (12-month maternity leave contract)
Audiobooks.com
Burlington, ON
- Contract
We are seeking a hands-on Data Scientist / Analytics Engineer to join our team for a 12-month maternity leave contract.
Added 25 days ago
A
Software Engineering Manager
AltaML
Calgary, AB
- Full-time
Added 26 days ago
KC
Technical Project Manager - Hardware
Kepler Communications
Toronto, ON
- Full-time
Added 24 days ago
FH
Data Analyst, CAADSI
Fraser Health
Surrey, BC
- Full-time
Bring your demonstrated leadership and consultation skills to this exciting opportunity as a Data Analyst, Fraser Health's Centre for Advanced Analytics, Data Science, and Innovation…
Added 24 days ago
Financial Systems Analyst
Spearhead
Nelson, BC
The Financial Systems Analyst combines manufacturing cost accounting, financial analysis, business intelligence, data analytics, and system implementation. The role is responsible for…
Added 5 months ago
SG
Senior Machine Learning Engineer
Spexi Geospatial
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
Added 5 months ago
HL
Business Systems Analyst
High Liner Foods
Halifax, Nova Scotia
- Full-time
Added 5 months ago
A
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, Ontario
- Full-time
Join our global Data Science team and take a leadership role in s
Added 5 months ago
TI
Software Development Manager
Tecsys Inc.
Montreal, Quebec
- Full-time
Added 2 months ago
DC
Infrastructure System Administrator
Dillon Consulting Limited
London, Ontario
- Full-time
Added 2 months ago
Q
Machine Learning Engineer, AI Processors (Sr to Staff)
Qualcomm
Markham, ON
- Full-time
Added 2 months ago
A
Part Time - Data Architect
Architech
Toronto, ON
- Part-time
Build the data foundation that makes enterprise AI possible. Design secure, scalable platforms across Fabric, Azure and Databricks that make data ready for analytics and AI.

Stripe

Machine Learning Engineer

Toronto, ON, Canada

Apply About employer

Applications open in a new tab.

Job details

Experience: Have at least 3 years of experience shipping ML systems in production
Posting language: English
Posted: Sep 4, 2026

Original job description

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Our Applied ML team aims to reform how our users interact with Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include helping our users resolve issues with Stripe faster or making it easier for our users to sign up and navigate Stripe. We are using the latest LLMs as well as fine-tuning our own models. We're an end-to-end team going from ideas to models to shipping in production. You can learn more about our team’s work from this recent talk.

What you’ll do

As a machine learning engineer, you will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to production. You will also have the opportunity to contribute to and influence ML architecture at Stripe as well as be a part of a larger ML community.

Responsibilities

Our team operates fluidly and here are some problems you may tackle:

How do we evaluate a system offline & online?
How do we improve performance to match (and beat) humans?
How do we ensure model quality doesn’t degrade online?
Does fine-tuning an LLM give us better performance?
What are the right OSS and in-house platforms we should invest in?

And in the process you will:

Develop pipelines and automated processes to train and evaluate models in offline and online environments
Integrate ML models into production systems and ensure their scalability and reliability
Collaborate with product and strategy partners to propose, prioritize, and implement new product features
Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions

Who you are

We are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines, building ML models, and deploying them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.

Minimum requirements

Have at least 3 years of experience shipping ML systems in production
Hold yourself and others to a high bar when working with production systems
Take pride in taking ownership and driving projects to business impact
Thrive in a collaborative environment

Preferred qualifications

5+ years of experience in full time software development roles
Experience shipping LLM integrations to user products with high quality
Experience operating in highly ambiguous environments
Knowledge about driving a hypothesis from data

Apply About employer

More about this job

Responsibilities

The role involves analyzing opportunities, training and evaluating ML models, and deploying them into production systems. You will develop automated pipelines and collaborate with product partners to implement new AI-driven features.

Requirements

Candidates must have at least 3 years of experience shipping ML systems in production and a strong track record of project ownership. Preferred qualifications include 5+ years of software development and experience with LLM integrations.

Skills

Machine Learning
LLM Fine-tuning
Production Deployment
Streaming Feature Pipelines
Model Evaluation
Backend Development
ML Architecture
Data Analysis

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
LLM
Fine-tuning
Production Systems
Feature Pipelines
AI
Software Development
Scalability
Reliability
OSS
Financial Infrastructure
Data Pipelines
Model Quality
Backend Code

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