IT & data jobs in Canada

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

Counted Oct 8, 2026

Hiring at a glance

View jobs

Open jobs: 2,618
Employers: 1,329

Advertised starting pay

Average starting payCAD / year: $97,465Across 249 listings
Average starting payCAD / hour: $49.39Across 85 listings
Average starting payUSD / year: $119,608Across 49 listings

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

Where work happens

Remote: 5%138 listings
Hybrid: 39%1,034 listings
On-site: 55%1,437 listings

Not specified: <1% (9 listings)

Employers hiring include TD (48), J&M Group (39), Amazon (35).

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 8 mins ago
ZS
Enterprise Data Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
Added 8 mins ago
TI
Data Scientist
TekStaff IT Solutions
Toronto, ON
- Contract
TekStaff's Client has a current vacancy for " Data Scientist ”
Added 8 mins ago
KG
Enterprise Data Architect – Big Data & Hadoop Modernization
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Contract
Position: Enterprise Data Architect – Big Data & Hadoop Modernization
Added 8 mins ago
IG
Data Analyst
Insight Global
Toronto, ON
- Contract
Insight Global is looking for a Data Analyst to join a Financial Planning Performance Management team supporting approximately 800 Financial
Added 8 mins ago
YD
Senior Machine Learning Engineer (Consulting)
Yeji Data Lab
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…their most pressing challenges through Machine Learning and data engineering, creating sustainable value at scale. As a client-facing consultancy, our team must be adaptable, technically…
Added 8 mins ago
NV
Systems & Network Administrator (ID#5507)
New Value Solutions
Vancouver, BC
- Contract
Added 8 mins ago
SF
Application Security Engineer II
Spring Financial
Vancouver, BC
- Full-time
Added 9 mins ago
B
Senior Data Analyst (Gaming)
Blazesoft
Vaughan, ON
- Full-time
The System Data Analyst will be in a critical position driving data-dri
Added 22 mins ago
ED
User support technician
Empire Distributions Inc.
Mississauga, ON
- From $37 CAD / hour
- Full-time
- On-site
Added 24 mins ago
B
Associate, Data Scientist
BMO
Toronto, ON · FCP
- Full-time
We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing…
Added 27 mins ago
KB
Network administrator
Kraft Berger LLP
Markham, ON
- From $37 CAD / hour
- Full-time
- On-site
Added 28 mins ago
VI
Enterprise resource planning (ERP) analyst
Vintage IT Solutions Inc
Oshawa, ON
- From $106,812 CAD / year
- Full-time
- Hybrid
Added 39 mins ago
RE
Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Added 39 mins ago
TP
IT Support Specialist – Caledon
Tech-Nique Partners
Caledon, ON
- $60,000 to $65,000 CAD / year
- Full-time
Added 39 mins ago
CF
Data Architect & Analytics Team Lead
Canadian Football League
Toronto, ON
- Full-time
Position Title: Data Architect & Analytics Team Lead
Added 39 mins ago
IT - Help Desk Analyst
Talent Acquisition - Achev
Mississauga, ON
Added 54 mins ago
RE
Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Added 54 mins ago
IT Support Analyst
Lawson Lundell
Vancouver, BC
Added 1 hour ago
CS
User support technician
Comncam Solutions Ltd.
Edmonton, AB
- From $37.5 CAD / hour
- Full-time
- On-site
Added 1 hour ago
B
Software Development Manager
Benevity
Remote, Canada
- Full-time
- Remote
Added 1 hour ago
B
Software Development Manager
Benevity
Remote, Canada
- $137,800 to $179,080 CAD / year
- Full-time
- Remote
Added 1 hour ago
LC
Network system administrator
La Corporation d'entretien prédictif
Saint-Laurent, QC
- From $36 CAD / hour
- Full-time
- On-site
Added 1 hour ago
CT
Data Engineer, Enterprise Data, Insights & Analytics
Canadian Tire Corporation
Toronto, ON
- Full-time
As a Data Engineer, Enterprise Data, Insights & Analytics, you will design, build, and maintain scalable data pipelines that support accurate, timely financial reporting and analytics. This…
Added 2 hours ago
SG
Network administrator
Solutions GA
Sainte-Marie, QC
- $35 to $40 CAD / hour
- Full-time
- Hybrid
Added 2 hours ago
RB
Lead Business System Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
…maintaining compliance and quality. Proficiency in banking systems, data flows, and associated risks is a strong asset. Your core responsibilities revolve…

Fusemachines

Senior Machine Learning Engineer

Remote, Canada

Remote

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Workplace: Remote
Apply by: Dec 20, 2026
Experience: 5–8+ years of experience as a Machine Learning Engineer or Software Engineer focusing on ML systems, ideally within Ad Tech, MarTech, or high-scale recommendation systems.
Posting language: English
Posted: Sep 21, 2026

Original job description

About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.

Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Type: Remote, Full-time

Role Overview

We’re hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance machine learning systems that power technology stack. You will work across the entire ML lifecycle - from processing massive volumes of data to developing and deploying low-latency models.

You must possess a strong hybrid skill set: deep expertise in applied machine learning combined with production-grade software engineering skills. You will not just build models in notebooks; you will write scalable, production-ready code, design real-time inference APIs, and ensure your systems meet strict latency and high-throughput requirements.

Key Responsibilities

Scale Data Engineering & Feature Pipelines

Process and extract features from massive, highly sparse datasets (terabytes/petabytes of bidstream and user event data) using SQL, Python, and distributed computing frameworks (e.g., Spark, Ray).
Architect offline and online feature pipelines. Manage real-time feature computation and low-latency feature stores ensuring zero online/offline skew.
Perform rigorous missingness analysis, leakage checks, and handle high-cardinality categorical variables safely.

Core ML & Deep Learning Development

Train, tune, and scale supervised learning models, utilizing advanced gradient boosting (XGBoost, LightGBM, CatBoost) and Factorization Machines.
Design and implement Deep Learning architectures for structured/recommendation data using PyTorch or TensorFlow.
Apply rigorous tabular modeling practices: meticulous leakage prevention, class imbalance strategies, and robust cross-validation on time-split data.

Productionization, MLOps, & System Engineering

Write clean, object-oriented, and modular production code. Transition models from Python research environments to high-performance serving environments (packaging with ONNX, TensorRT, etc).
Design and maintain robust MLOps pipelines: automated model retraining, versioning, shadow deployments, and CI/CD for machine learning.
Monitor production models for data drift, concept drift, and performance degradation in real-time, implementing automated alerting and fallback mechanisms.

Evaluation & Experimentation

Design rigorous A/B and multivariate tests to measure the true business incrementality of ML models.
Choose appropriate offline metrics (PR-AUC, normalized Entropy/LogLoss, Calibration, Lift) and bridge them to online business KPIs.

Success in This Role Looks Like

You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency).
Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring.
Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.

Required Qualifications

5–8+ years of experience as a Machine Learning Engineer or Software Engineer focusing on ML systems, ideally within Ad Tech, MarTech, or high-scale recommendation systems.
Production Engineering Skills: Strong software engineering fundamentals (OOP, data structures, algorithm design). Expert-level Python and strong proficiency in a compiled or high-performance language (e.g., C++, Java, Scala, Go, or Rust).
ML Systems & Serving: Deep experience deploying machine learning models into highly concurrent, low-latency production environments (APIs, microservices, Triton Inference Server, custom containers).
Distributed Computing: Hands-on experience with big data processing (Apache Spark, Kafka, Flink) and complex SQL queries.
Core ML & Deep Learning: Proven track record of shipping both tree-based models and neural networks (PyTorch/TensorFlow) to production.
Statistics & Experimentation: Solid grasp of statistics, hypothesis testing, and rigorous A/B experiment design.

Nice-to-Have

Agentic / GenAI Development: Experience designing agentic workflows or utilizing LLMs to automate ad creative generation, campaign copilot tools, or internal ML development workflows (AI-assisted IDEs, code agents).

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

Apply About employer

More about this job

Responsibilities

The Senior Machine Learning Engineer will architect, build, and deploy high-performance machine learning systems across the entire ML lifecycle. Responsibilities include scaling data pipelines, developing deep learning models, and ensuring production-grade performance through robust MLOps practices.

Requirements

Candidates must have 5-8+ years of experience in machine learning or software engineering with deep expertise in Python and distributed computing frameworks. A strong background in deploying low-latency models and a solid understanding of statistics and experimental design are required.

Skills

Machine Learning
Python
SQL
Spark
PyTorch
TensorFlow
XGBoost
Distributed Computing
MLOps
Data Engineering
Software Engineering
System Architecture
Statistics
A/B Testing
CI/CD
Deep Learning

Remote locations

Toronto, Canada

Remote locations (standardized)

Toronto, Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Data Engineering
Python
SQL
Spark
Ray
XGBoost
LightGBM
CatBoost
PyTorch
TensorFlow
ONNX
TensorRT
MLOps
CI/CD
Kafka
Flink
Triton Inference Server
Microservices
Ad Tech
MarTech
Recommendation Systems
Feature Stores
A/B Testing
Statistics
Distributed Computing
Software Engineering
Object-Oriented Programming
GenAI

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