IT & data jobs in Canada

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

Counted Sep 29, 2026

Hiring at a glance

View jobs

Open jobs: 2,605
Employers: 1,307

Advertised starting pay

Average starting payCAD / year: $98,324Across 256 listings
Average starting payCAD / hour: $52.27Across 82 listings
Average starting payUSD / year: $118,002Across 52 listings

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

Where work happens

Remote: 5%129 listings
Hybrid: 39%1,019 listings
On-site: 55%1,442 listings

Not specified: 1% (15 listings)

Employers hiring include TD (44), RBC (41), Royal Bank of Canada (39).

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
Senior Data Scientist
J&M Group
Toronto, ON
Full-time
We are looking for an experienced Senior Data Scientist to deliver enterprise AI and machine learning solutions from exploration to production. The ideal candidate has strong expertise in…
Added 2 months ago
Principal Data Engineer
Tilt (f.k.a. Delphia)
Remote, Canada
$210,000 to $270,000 USD / year
Full-time · Remote
Added 2 months ago
Senior Data Engineer
AppDirect
Montreal, QC
Full-time
Added 29 days ago
Senior Machine Learning Engineer
Remitly
Burnaby, BC
Full-time
Added 1 month ago
Technical Support Analyst
Achievers
Toronto, ON
Full-time
Added 1 month ago
Senior Application Security Engineer
TripleLift
Toronto, ON
…through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their…
Added 21 days ago
Bilingual Technical Support Representative
Recrute Action
Markham, ON
Contract
Added 1 month ago
Logistics Data Analyst
Enercare
Markham, ON
Added 1 month ago
Data Engineer/Architect
Northland Power Inc.
Toronto, ON
Full-time
Added 19 days ago
Digital Data Analytics Manager
Rogers Communications
Toronto, ON · Montreal, QC
Added 1 month ago
Senior Data Engineer
CarePartners
London, ON · Waterloo, ON
Full-time
Added 2 months ago
Embedded Software Engineering Manager
Verathon
Burnaby, BC
$131,115 to $187,310 USD / year
Full-time
Added 2 months ago
Senior Systems Analyst, Corporate Services
Methanex Corporation
Vancouver, BC
Full-time
Added 2 months ago
Data Scientist I
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
Full-time
Added 18 days ago
Senior Systems Administrator
GlassHouse Systems
Toronto, ON
Full-time
Added 1 month ago
Business Systems Analyst
Royal Bank of Canada
Halifax, NS
Full-time
…business initiatives and regulatory projects that work with high data volume. You will be exposed to…
Added 1 month ago
FRTB Technical Business Analyst, Market Risk
BMO
Toronto, ON · YNG
Full-time
…recovery plans. Conducts research and creates tools that use data to develop scenario-based…
Added 1 month ago
Senior Application Security Engineer II
Relay
Remote, Canada
Full-time · Remote
Added 2 months ago
Missile Systems Analyst – NETE
The Weir Group PLC
Halifax, NS
Full-time
Added 2 months ago
Machine Learning Engineer
exacare ai
Canada
Full-time
Added 1 month ago
Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs
Amazon
Toronto, ON
Added 1 month ago
Analyste de données / Data Analyst
Avison Young Canada
Montreal, QC
Full-time
Added 1 month ago
Business Systems Analyst
RBC
Halifax, NS · Bedford, QC
Full-time
…business initiatives and regulatory projects that work with high data volume. You will be exposed to…
Added 27 days ago
Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
Full-time
Added 1 month ago
Construction Innovation Systems Analyst
Bird Construction
Mississauga, ON
Full-time
…support the development of connected digital solutions across its data centre portfolio. Working with Construction Innovation, project teams, Project Controls, Information Technology,…

Remitly

Senior Machine Learning Engineer

Burnaby, BC, Canada

Pay: The starting base salary range for this position is $168,000-$210,000.
Job type: Full-time
Posting language: English
Posted: Aug 31, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Description:

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money - we're here to move our global customers forward.
We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career - we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About the Role:

As a Senior Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning systems, frameworks, and services that power Remitly's next generation of products and operations. We work horizontally across domains at Remitly - Global Money Movement, Treasury, Identity & Trust, Promotions, Referrals, etc.

We are looking for an experienced Machine Learning Engineer to build large scale systems that propel our next phase of growth.

You Will:

Lead the end-to-end ML lifecycle from raw data to EDA to model training to offline/online evaluation and model deployment.
Design, build, and scale feature pipelines for batch and real-time ML applications.
Partner with data scientists, product owners, and engineers across verticals to turn prototypes into reliable, customer-facing ML systems.
Optimize models and pipelines using MLOps best practices: automated retraining, drift detection, CI/CD, monitoring, observability.
Mentor and lead other engineers: champion design reviews, technical discussions, and maintain a high bar code quality.

You Have:

Degree in Computer Science, Data Science, Statistics, Mathematics or equivalent practical experience.
8+ years delivering Machine Learning systems in production.
Strong programming skills in Python, Go, Scala or a similar language.
Hands-on experience with ML frameworks (e.g., PyTorch, scikit-learn, numpy).
Experience working with major cloud platforms (AWS, GCP, or Azure).
Experience with one or more of Deep Learning algorithms, Large Language Models, Casual Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable.

Compensation Details. The starting base salary range for this position is $168,000-$210,000. In Canada, Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Our Benefits

Four weeks vacation
Health Benefits
Mental Health & Family Forming Benefits
RRSP plan with company match
Employee Stock Purchase Plan (ESPP)
Life Insurance & Disability
Continuing education

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster.Under the Company's current hybrid-work expectations, employees in this position work onsite Tuesday through Thursday each week. Additional onsite attendance may be required based on business needs, and the Company may modify its hybrid-work expectations from time to time. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply About employer

More about this job

Responsibilities

Lead the end-to-end machine learning lifecycle, including data preparation, model training, and deployment. Collaborate with cross-functional teams to build and scale feature pipelines and optimize models using MLOps best practices.

Requirements

Requires a degree in Computer Science, Data Science, Statistics, or Mathematics and 8+ years of experience delivering production machine learning systems. Candidates must possess strong programming skills in Python, Go, or Scala and hands-on experience with major cloud platforms and ML frameworks.

Skills

Machine learning
Python
Go
Scala
PyTorch
Scikit-learn
Numpy
AWS
GCP
Azure
MLOps
CI/CD
Feature pipelines
Deep learning
Natural language processing
Large language models

Benefits

Four weeks vacation
Health benefits
Mental health benefits
Family forming benefits
RRSP plan with company match
Employee stock purchase plan
Life insurance
Disability insurance
Continuing education

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
MLOps
Python
Go
Scala
PyTorch
Scikit-learn
Numpy
AWS
GCP
Azure
Deep Learning
Large Language Models
Natural Language Processing
Knowledge Graphs
Casual Inference
CI/CD
Feature Pipelines
Data Science
Statistics
Mathematics
Computer Science
Financial Services
Model Deployment
Monitoring
Observability
Software Engineering
Scalability
Production Systems

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