Jobs in Canada

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Added 5 days ago
J
Senior Manager, Credit Risk
Jobber
Remote, Canada
- Full-time
- Remote
Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service…
Added 5 days ago
CC
Data Engineer
Canadian Cancer Society
Hamilton, ON
- Full-time
…lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research,…
Added 5 days ago
Senior Full Stack Engineer
Workstream
Vancouver, BC
Proficiency in at least one or more of the following languages: Python, Java, PHP, or JavaScript, with experience developing full-stack, high-performance, and high-availability applications.
Added 5 days ago
K
Senior Consultant, Financial Services-Insurance & Wealth & Asset Management
KPMG
ON · Toronto, Ontario
- Full-time
Working with tools such as Power BI, Tableau, Alteryx, SQL, Python, Power Platform, Copilot, ChatGPT Enterprise, or similar platforms.
Added 5 days ago
B
Manager, Wealth Reporting Analytics & Automation
BMO
Toronto, ON
- Full-time
…Develops analytical and reporting solutions in close consultation with business stakeholders and functional partners, that are related to Wealth Analytics, reporting insights, automation as…
Added 5 days ago
A
Test Engineer
Actalent
Ottawa, ON
- $50 to $60 CAD / hour
- Contract
Proficiency with Python for scripting and programming in test environments.
Added 5 days ago
TH
Product Manager II, Advanced Analytics, Tim Hortons, Canada
Tim Hortons
Toronto, ON
- Full-time
Candidates will be expected to work onsite 5 days per week out of our office in Toronto, ON
Added 5 days ago
SM
RQ11676 – Software Developer – ETL – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 5 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 5 days ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 5 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 5 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 5 days ago
B
Sr.Analyst-Payments Automation & Analytics
BeachHead
Toronto, ON
- $43.48 to $56.52 CAD / hour
- Contract
Strong process automation experience using Python, SQL, Power Automate, Alteryx, UiPath, or similar tools.
Added 5 days ago
J
Report Developer - Junior
Joblinxsapp
Toronto, ON
- Full-time
The organization is seeking a Junior Report Developer / Data Engineer to develop, maintain, and optimize enterprise data solutions using Azure cloud technologies.
Added 5 days ago
CC
Data Engineer
Canadian Cancer Society
Ottawa, ON
- Full-time
…lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research,…
Added 5 days ago
SQ
Manager Forecasting, Workforce Management
Sunlife Québec
Montreal, QC
- Full-time
Strong SQL querying skills and experience working with large databases and complex data relationships
Added 5 days ago
CC
Data Engineer
Canadian Cancer Society
Montreal, QC
- Full-time
…lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research,…
Added 5 days ago
CC
Data Engineer
Canadian Cancer Society
Toronto, ON
- Full-time
…lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research,…
Added 5 days ago
CC
Data Engineer
Canadian Cancer Society
Vancouver, BC
- Full-time
…lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research,…
Added 5 days ago
CC
Data Engineer
Canadian Cancer Society
Halifax, NS
- Full-time
…lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research,…
Added 5 days ago
CC
Data Engineer
Canadian Cancer Society
Calgary, AB
- Full-time
…lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research,…
Added 5 days ago
Senior Consultant - Risk Consulting - Actuarial
EY
Toronto, ON
To qualify for the role you must have
Added 5 days ago
CC
Data Engineer
Canadian Cancer Society
St. John's, NL
- Full-time
…lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research,…
Added 5 days ago
C
Sr. Data Test Coordinator, IT Quality Assurance
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 5 days ago
PC
Operations and Procurement Senior Associate
PwC Canada
Victoria, BC
- Full-time
Familiarity with data tools or programming languages (SQL, Python, Alteryx) is an asset; and strong analytical and modeling skills using simulation tools and AI.

S M Software Solutions Inc

RQ00245 – Machine Learning Engineer – Senior

Toronto, ON, Canada

Hybrid

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Hybrid
Apply by: Dec 6, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

Client: Metrolinx – RQ00245

We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations (MLOps), CI/CD, containers, APIs, automation, model deployment, monitoring, and observability. The ideal candidate will have strong Python and machine-learning engineering expertise, with a proven ability to take machine-learning models from experimentation through development and into reliable production environments. The successful candidate will design, develop, deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices, establishing reusable deployment patterns, tools, monitoring, and automation to support enterprise-scale AI solutions.

Role Snapshot

Job Title: RQ00245 – Machine Learning Engineer – Senior
Client: Metrolinx
Work Location: 277 Front Street West, Toronto, Ontario, Canada
Work Arrangement: Hybrid – 3 Days per Week Onsite
Estimated Start Date: November 23, 2026
Estimated End Date: May 23, 2027
Business Days: 130.00
Hours: 7.25 hours per day
Public Sector Experience: Preferred but not required

Must Have

Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, model deployment, monitoring, and observability.
Strong Python and machine-learning engineering skills, with demonstrated experience taking models from experimentation into reliable production environments.
Experience with the following technology stack:
- Python
- SQL
- Power BI
- Power Automate
- Visual Studio Code (VS Code)
- Git
- Jira
- Azure (ML Studio, AI Foundry)
- Databricks
Deep understanding of machine-learning algorithms and statistics, including:
- Classification
- Regression
- Clustering
- Feature Engineering
- Model Evaluation
- Hyperparameter Tuning
- Model Drift
- Model Retraining
- Performance Optimization
- Production Model Troubleshooting

Description

Senior Machine Learning Engineer

The Senior Machine Learning Engineer will deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices. The role will establish reusable deployment patterns, tooling, monitoring, and automation that enable AI solutions to move reliably from development into production and scale across the enterprise.

Responsibilities

Deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices.
Establish reusable deployment patterns, tooling, monitoring, and automation.
Enable AI solutions to move reliably from development into production and scale across the enterprise.
Create machine-learning models and utilize data to train models.
Focus on analysing data to find relationships between the input and the desired output.
Understand business objectives and develop models that help achieve them, along with metrics to track their progress.
Design and develop machine-learning and deep-learning systems.
Run machine-learning tests and experiments.
Implement appropriate machine-learning algorithms.

General Skills

Experience managing available resources such as hardware, data, and personnel to ensure deadlines are met.
Experience analysing machine-learning algorithms that could be used to solve a given problem and ranking them by their probability of success.
Experience exploring and visualizing data to gain an understanding of it, and then identifying differences in data distribution that could affect performance when deploying the model in real-world environments.
Experience verifying data quality and/or ensuring data quality through data cleaning.
Experience supervising the data acquisition process when additional data is required.
Experience finding available datasets online that could be used for training.
Experience defining validation strategies.
Experience defining the preprocessing or feature engineering to be performed on a given dataset.
Background in statistics and computer programming.
A team player with a track record of meeting deadlines, managing competing priorities, and demonstrating client relationship management experience.

Additional Information

Work Location: 277 Front Street West, Toronto, Ontario, Canada.
Work Arrangement: Hybrid.
Onsite Requirement: 3 days per week onsite.
Public Sector Experience: Preferred but not required.
Contract Duration: November 23, 2026, to May 23, 2027.
Working Hours: 7.25 hours per day.

How to Apply

If you are interested and your profile matches the requirements, kindly submit the following mandatory documents to hrsmss@smsoftconsulting.com by Monday, November 9, 2026, at 8:00 AM EST.

Mandatory Documents

Updated Resume in Word format (Mandatory)
Skills Matrix and References (Mandatory)
Expected Hourly Rate (Mandatory)
Visa Status (Mandatory)
LinkedIn ID (Mandatory)

Please note that we cannot proceed with your submission without the following mandatory documents.

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You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

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More about this job

Responsibilities

Design, develop, deploy, integrate, monitor, and operationalize machine-learning and AI solutions using modern MLOps practices. Establish reusable deployment patterns, tools, monitoring, and automation to move models reliably into production and support enterprise-scale solutions.

Requirements

Requires advanced hands-on experience with Azure Machine Learning or Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, deployment, monitoring, and observability, along with strong Python and machine-learning engineering skills. Candidates should understand machine-learning algorithms and statistics and have experience preparing data, engineering features, validating and evaluating models, and troubleshooting production systems.

Skills

Azure Machine Learning
Azure AI Foundry
MLOps
Python
Machine Learning
CI/CD
Containerization
API Integration
Model Deployment
Model Monitoring
Observability
SQL
Databricks
Feature Engineering
Model Evaluation
Statistics

Visa sponsorship

Not detected in the job text

Keywords

Azure Machine Learning
Azure AI Foundry
Microsoft Foundry
MLOps
CI/CD
Python
SQL
Power BI
Power Automate
Visual Studio Code
Git
Jira
Databricks
Machine Learning
Deep Learning
Classification
Regression
Clustering
Feature Engineering
Model Evaluation
Hyperparameter Tuning
Model Drift
Model Retraining
Model Deployment
Model Monitoring
Observability
Containers
APIs
Data Cleaning
Data Visualization

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Work requirements

Jobs in Canada