IT & data jobs in Canada

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

Counted Oct 30, 2026

Hiring at a glance

View jobs

Open jobs: 4,379
Employers: 1,960

Advertised starting pay

Average starting payCAD / year: $96,088Across 391 listings
Average starting payCAD / hour: $49.95Across 291 listings
Average starting payUSD / year: $121,177Across 59 listings
Average starting payUSD / hour: $46.76Across 17 listings

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

Where work happens

Remote: 4%185 listings
Hybrid: 38%1,673 listings
On-site: 57%2,507 listings

Not specified: <1% (14 listings)

Employers hiring include TD (77), 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 8 days ago
PT
Senior Data Engineer – Capital Markets
Precision Technologies
Mississauga, ON
- Contract
Hiring: Senior Data Engineer – Capital Markets
Added 8 days ago
SM
Business Systems Analyst
Smartrend Manufacturing Group
Winnipeg, MB
- $70,000 to $90,000 CAD / year
- Full-time
…software development, you'll connect systems, support reliable data processing and delivery, and make everyday work more…
Added 8 days ago
Data Scientist, Decisions - Payments
Lyft
Toronto, ON
As a Data Scientist in the Pay, Integrity & Identity org, you will collaborate with our world-class team of engineers, product managers, analysts, and other data scientists to help build…
Added 8 days ago
PC
Retail Systems Analyst Intern - May 2027 (4-Month Term)
Parkland Corporation
Calgary, AB
- Full-time
Added 8 days ago
ServiceNow System Administrator
Bell
Toronto, ON
Added 8 days ago
B
Senior Business Systems Analyst
BMO
Toronto, ON
- Full-time
Added 8 days ago
RT
Business Intelligence Specialist - Senior
Russell Tobin
Toronto, ON
- $85 to $95 CAD / hour
- Contract
Oracle, Python, AWS Glue Python Shell, and AWS DMS experience, including complex SQL, source-data analysis, extraction, transformation, incremental loading, validation, reconciliation, and…
Added 8 days ago
AI
GCP Senior Data Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced GCP Data Engineering Lead to lead a team of 10 engineers and design, develop, and optimize scalable data engineering solutions on Google Cloud Platform…
Added 8 days ago
H
Analyste fonctionnel / Data
Highspring
Montreal, QC
- Contract
Added 8 days ago
LC
Senior Business Data Analyst
Loblaw Companies Limited
Brampton, ON
- Full-time
Added 8 days ago
KC
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Our team is looking for a Data Engineer with extensive hands
Added 8 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Our team is looking for a Data Engineer with deep hands-on e
Added 8 days ago
GA
Analyste fonctionnel - SAP FICO | Functional Analyst - SAP FICO
Groupe Avversita
Montreal, QC
- Full-time
Added 8 days ago
W
Senior Data Analyst, Operations
Waabi
Toronto, ON
- Full-time
Added 8 days ago
T
Data Scientist II
TD
Toronto, ON · Ottawa, ON
- Full-time
Added 8 days ago
C
Sr Cloud Data Engineer
CIBC
Toronto, ON
- Full-time
Added 8 days ago
Business Systems Analyst, Banking Technology - Staff/Senior Consultant
EY
Toronto, ON · Montreal, QC
Added 8 days ago
X
Data Scientist - Experimental Physics
Xanadu
Toronto, ON
- Full-time
Added 8 days ago
TM
Network Administrator
Toyota Motor Corporation
Kamloops, BC · Toyota Canada Inc - Head Office
- Full-time
Added 8 days ago
RB
Senior Data Scientist
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve comple
Added 8 days ago
WI
Process & Data Analyst
Wesgar Inc.
Port Coquitlam, BC
- Full-time
Added 8 days ago
E
Machine Learning Engineer
EvenUp
Toronto, ON
- $130,000 to $205,000 USD / year
- Full-time
Added 8 days ago
T
Senior Data Scientist – LLM Fine-Tuning (NLP, Contract)
TekRek
Canada
- Contract
An AI and data engineering consultancy that builds data platforms and AI products for enterprise clients. Its delivery team is spread across Europe, and this engagement sits with a major…
Added 8 days ago
WA
IT Support Specialist/ Spécialiste du soutien informatique
Western Alliance
Kirkland, QC
- Full-time
Added 8 days ago
PF
Senior Data Engineer - Data Governance & DataOps
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
We have an exciting opportunity for a full-time Senior Data Engineer – Data Governance & DataOps to join our IT team in Langley, BC.

Contextere

Machine Learning Specialist

Ottawa, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 20, 2026
Experience: · At least 3 years of experience designing, building, deploying, and operating production ML applications.
Posting language: English
Posted: Oct 21, 2026

Original job description

About Contextere

Contextere is an Ottawa-based AI company helping industrial and defence organizations transform operational data into actionable intelligence for technicians, operators, maintainers, and leaders.

We work with global organizations including defence agencies, aerospace leaders, transportation providers, and industrial enterprises to deploy practical AI solutions that deliver measurable operational impact.

Role Summary

The Machine Learning Specialist will contribute to production AI and ML delivery from requirements and architecture through data preparation, model development, deployment, monitoring, and improvement. In this hands-on development role, this person will turn operational needs into secure, scalable, maintainable AI products that deliver measurable value in industrial and defence environments.

The Opportunity

This is a critical technical role for someone who wants to shape how industrial and defence organizations apply AI in real operations. Working across software engineering, product, and customer teams, you will develop multi-faceted natural language AI/ML solutions with automated data pipelines, flexible deployment architectures, and secure trustworthy production services.

You will strengthen product security, transparency, and governance while influencing technical direction through active collaboration and development. The ideal candidate combines ML and applied software-development depth with sound judgment, business awareness, and clear communication. The position offers visibility and growth through work with a dynamic team and recognized industrial and defence customers.

Key ResponsibilitiesMachine Learning Solution Development

· Translate business needs into ML requirements, solution designs, and scalable product applications.

· Design, test, and improve supervised, unsupervised, deep-learning, reinforcement-learning, NLP, and Generative AI solutions; run experiments and optimize model and product performance.

Data and ML Pipelines

· Build and test scalable pipelines for automated data extraction, ingestion, cleaning, and validation.

· Develop and optimize multi-model ML pipelines incorporating data ingestion, chunking, embeddings, and vector database operations to meet performance requirements.

Deployment, Operations, and Quality

· Develop, deploy, and optimize scalable, reliable ML services using Docker, APIs or real-time endpoints, Kubernetes, and Azure.

· Develop techniques to monitor model performance and automate drift detection, evaluation, and retraining.

· Develop efficient and maintainable software using object-oriented design, coding standards, version control, automated testing, and continuous integration.

Architecture, Security, and Governance

· Develop modular, reusable ML architectures that are flexible and scalable.

· Protect data, training artifacts, models, credentials, interfaces, and deployed services through appropriate security.

· Maintain lineage, metadata, versioning, and audit trails; apply governance for risk, security, accountability, and compliance.

Collaboration and Documentation

· Collaborate across engineering, product, client, and project teams; communicate requirements, trade-offs, risks, and progress to technical and non-technical audiences.

· Maintain architecture, model, and data-lineage documentation; contribute to peer reviews of code, designs, tests, and documentation.

What We’re Looking ForExperience and Education

· At least 3 years of experience designing, building, deploying, and operating production ML applications.

· Bachelor’s degree in computer science, mathematics, ML, AI, data science, or a related field; an advanced degree is an asset.

· Industrial, defence, and/or embedded-systems experience is an asset.

Technical Expertise

· Expert Python and strong production software-development skills, including object-oriented and modular design, data structures, algorithms, architecture, version control, automated testing, continuous integration, debugging, and code review; C++ is beneficial.

· Strong mathematics, statistics, data-modelling, and ML fundamentals, with hands-on experience in TensorFlow, PyTorch, scikit-learn, or comparable frameworks and architectures.

· Advanced NLP, ML computer vision, and applied Generative AI expertise, including RAG, embeddings, fine-tuning, vector databases, and LLM evaluation.

· Experience with Docker, Azure, MLOps/DataOps/DevOps, production deployment, distributed training, inference optimization, data lakes, and knowledge graphs.

Professional Skills

· Strong analytical skills, systems-thinking, creative problem-solving, and ability to anticipate security gaps and failure modes in complex pipelines.

· Excellent written, verbal, presentation, and technical-writing skills for varied audiences.

· Cross-functional collaboration and peer-review skills, including giving, receiving, and applying constructive feedback.

· Ability to work independently and collaboratively, manage competing priorities, and operate in ambiguity.

Why Join Contextere?

At Contextere, you will not just develop software - you will help put practical AI into the hands of the people who keep critical operations moving. This is an opportunity to work at the intersection of industrial innovation, national security, and frontline workforce transformation. With Contextere, you will:

· Shape the future of AI for the technicians, operators, maintainers, and mission teams who power the physical world.

· Work directly with the leadership team in a high-trust, high-visibility role where your organization, judgment, and execution discipline will matter.

· Engage with world-class defence, aerospace, transportation, and industrial organizations solving real operational problems.

· Join a Canadian AI company at a pivotal growth stage, with the opportunity to help define a category and build lasting enterprise value.

· Make a measurable impact in a role that blends development innovation, customer interaction, and meaningful career growth.

Apply About employer

More about this job

Responsibilities

Design, develop, deploy, and improve production machine-learning solutions, including NLP and generative AI applications, automated data pipelines, and scalable ML services. Ensure solutions are secure, reliable, monitored, and governed, while collaborating with engineering, product, and customer teams and maintaining technical documentation.

Requirements

Requires at least three years of experience building and operating production ML applications, a bachelor's degree in a relevant field, expert Python skills, and strong software engineering and machine-learning fundamentals. Advanced NLP, computer vision, generative AI, cloud deployment, MLOps, and communication and collaboration skills are sought; industrial, defence, or embedded-systems experience and an advanced degree are assets.

Skills

Python
Machine Learning
Natural Language Processing
Generative AI
Retrieval-Augmented Generation
Deep Learning
Computer Vision
TensorFlow
PyTorch
Scikit-Learn
Docker
Kubernetes
Microsoft Azure
MLOps
Data Pipelines
Vector Databases

Visa sponsorship

Not detected in the job text

Keywords

Python
C++
Machine Learning
Supervised Learning
Unsupervised Learning
Deep Learning
Reinforcement Learning
Natural Language Processing
Generative AI
Retrieval-Augmented Generation
Embeddings
Fine-Tuning
Vector Databases
Computer Vision
TensorFlow
PyTorch
Scikit-Learn
Docker
Kubernetes
Microsoft Azure
MLOps
DataOps
DevOps
Automated Data Pipelines
Distributed Training
Inference Optimization
Data Lakes
Knowledge Graphs
Continuous Integration

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