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 3 months ago
FT
Spécialiste en informatique // IT Specialist
Face to Face Games
Montreal, QC
- Full-time
Added 4 months ago
EH
Machine Learning Engineer
Eli Health
Remote, Canada
- Full-time
- Remote
Added 24 days ago
Technical Project Manager
Coveo
Montreal, QC
Added 2 months ago
Q
Machine Learning Engineer, AI Processors (Sr to Staff)
Qualcomm
Markham, Ontario
- Full-time
Added 2 months ago
YG
Team Lead, IT Support
Yuułuʔiłʔatḥ Government
Ucluelet, British Columbia
- Full-time
Added 25 days ago
PU
Staff Data Scientist
Purpose Unlimited
Remote, Canada
- Full-time
- Remote
Added 24 days ago
S
Financial Systems Analyst
Spearhead
Nelson, BC
- $100,000 to $120,000 CAD / year
- Full-time
The Financial Systems Analyst combines manufacturing cost accounting, financial analysis, business intelligence, data analytics, and system implementation. The role is responsible for…
Added 24 days ago
CE
Junior System Administrator
CES Energy Solutions Corp.
Calgary, AB
- Full-time
Added 24 days ago
AC
Data Engineer - AWS, Snowflake, DBT
Aviva Canada
Markham, ON
- Full-time
Added 24 days ago
JE
IT Support Centre Analyst (2026-9459)
Johnston Equipment
Montreal, QC
- Full-time
Added 24 days ago
AC
Data Scientist
Amaris Consulting
Montreal, QC
- Full-time
We are looking for a Data Scientist to join a dynamic technology team supporting data-driven solutions within a global financial services environment. In this role, you will work with large…
Added 24 days ago
II
Lead Data Engineer
ITC Infotech
Vancouver, BC
- $130,000 to $140,000 CAD / year
- Full-time
Added 24 days ago
M
Database Administrator
Medisca
Surrey, BC · Vancouver, BC
- Full-time
Added 24 days ago
M
Database Administrator
Medisca
London, ON · Ottawa, ON · Toronto, ON · ON
- Full-time
Added 1 month ago
RL
Technical Support Representative
RBR Ltd.
Ottawa, ON
- $50,000 to $65,000 CAD / year
- Full-time
…deepest trenches to the polar ice caps, capturing essential data on water temperature, salinity, pH, and more. This data empowers researchers in the global fight against climate change, and…
Added 24 days ago
Lead Data Engineer
Ipsos
Vancouver, BC
…organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and…
Added 24 days ago
L
Data Engineer Intern (Summer 2027)
Lyft
Toronto, ON
- $40 to $45 CAD / hour
Added 4 months ago
LD
Staff Data Engineer
Loblaw Digital
Toronto, Ontario
- Full-time
Added 4 months ago
D
Machine Learning Engineer, Detection (TOR)
Doppel
Toronto, Ontario
- Full-time
Added 4 months ago
B
Machine Learning Engineer, Underwriting
Bree
Remote, Canada
- $130,000 to $230,000 USD / year
- Full-time
- Remote
Added 2 months ago
Software Development Manager , Amazon Customer Service
Amazon
Toronto, Ontario
Added 2 months ago
VR
Data Scientist or Decision Scientist
Venterra Realty
Richmond Hill, ON
- Full-time
Added 2 months ago
KD
Master Data Analyst
Keurig Dr Pepper
Montreal, Quebec
- Full-time
The Master Data Analyst coordinates and performs day to day tasks for the creation, maintenance, and data quality throughout the lifecycle of a material for all Routes to Market, Business…
Added 2 months ago
LT
Data Scientist
Larus Technologies
Ottawa, Ontario
- Full-time
Added 25 days ago
PG
Business System Analyst – Capital Markets
Pacer Group
Toronto, ON
- $85,000 to $90,000 CAD / year
- Full-time
Senior BSA with 8+ years of Banking & Capital Markets experience, specializing in SQL Server, Azure Cloud (ADF/Synapse), data analysis, data quality, and business systems analysis.

Sanctuary AI

Machine Learning Engineer

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 4+ years of software engineering experience, with a focus on developing and deploying production-grade applications.
Posting language: English
Posted: Apr 6, 2026

Original job description

Your New Role and Team

Sanctuary AI, a world leader in building dexterity-driven Physical AI for general purpose robots, is seeking Machine Learning (ML) Engineers to join our team of seasoned engineers, researchers, and scientists who are dedicated to tackling fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning.

As a member of the ML team, your role will focus on building robust systems for training and running ML policies on robots, and working closely with researchers to implement and deploy novel ML techniques into production. With access to our in-house robotic platforms, you’ll design, test, and refine software that connects state-of-the-art methods to real-world performance. This position offers a unique chance to contribute to both the engineering foundations and applied ML capabilities that drive our robots forward.

As part of this role, you will occasionally travel (typically one to two weeks at a time, several times per year) to collaborate closely with partners and teams in advancing critical projects.

Success Criteria

Collaborate with cross-functional teams to identify opportunities for applying machine learning techniques to solve complex problems.
Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges.
Implement scalable and efficient software solutions to integrate machine learning models into production systems.
Optimize and fine-tune machine learning algorithms for improved performance and accuracy.
Conduct thorough testing and validation of machine learning models to ensure robustness and reliability.
Stay updated on the latest developments and advancements in machine learning and communicate promising research directions to the team.
Provide technical guidance and mentorship to junior team members.

Qualifications

Your Experience

Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
3+ years of experience in machine learning methods, with specialization in areas such as reinforcement or imitation learning for dexterous manipulation, computer vision for robotics, or natural language processing.
4+ years of software engineering experience, with a focus on developing and deploying production-grade applications.
Hands-on experience deploying ML models to production.
Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn).
Experience with ROS2 and parallel computing (e.g., CUDA, OpenMP).
Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.
Demonstrated experience applying ML techniques in real-world systems is strongly valued. Publications are welcome but not expected for this role.
Familiarity with robotics principles and technologies is highly desirable.

Skills

Strong programming proficiency in Python and C++.
Working knowledge of core machine learning techniques and algorithms (e.g., supervised/unsupervised learning, deep learning, reinforcement learning, natural language processing) and the ability to apply them effectively in software systems.
Ability to optimize and fine-tune ML algorithms for performance and accuracy.
Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Leadership and mentorship ability, supporting the growth of junior team members.

Traits

Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems.
Takes ownership and accountability, fostering the same in teammates.
Empathetic listener with conflict resolution capabilities.
Consistent bias for action, communication, and interpersonal savvy.
Self-motivated and able to solve problems independently.
Mission driven and passionate about bringing human-like intelligence to machines.

Apply About employer

More about this job

Responsibilities

As a Machine Learning Engineer, you will design, develop, and deploy machine learning models and algorithms for robotic applications. You will collaborate with cross-functional teams to implement and refine ML techniques into production systems.

Requirements

Candidates should have a Master's degree or Ph.D. in a relevant field and at least 3 years of experience in machine learning methods. Proficiency in software engineering and hands-on experience deploying ML models to production are also required.

Skills

Machine Learning
Robotics
Software Engineering
Python
C++
Reinforcement Learning
Imitation Learning
Computer Vision
Natural Language Processing
ML Frameworks
ROS2
Parallel Computing
Cloud Platforms
Distributed Computing
Problem Solving
Communication

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Robotics
Software Engineering
Python
C++
Reinforcement Learning
Imitation Learning
Computer Vision
Natural Language Processing
ML Frameworks
ROS2
Parallel Computing
Cloud Platforms
Distributed Computing
Problem Solving
Communication
Testing
Validation
Optimization
Algorithms

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