Jobs in Canada

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Added 3 days ago
C/
Senior Infrastructure Specialist, West
CIRO / OCRI
AB · Vancouver, BC · Calgary, AB
- Full-time
…infrastructure and applications layers in a modern, cloud-enabled, data driven…
Added 3 days ago
UH
Student, Co-Op/Placement (Research and Development Physicist / Biophysicist)
University Health Network
Toronto, ON
- Contract
Process, analyze, and quantify imaging data using MATLAB and/or Python
Added 3 days ago
RD
Senior Technical Analyst / Developer - Machine Learning & Data Engineering
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $130,000 CAD / year
- Full-time
Senior Technical Analyst / Developer (Machine Learning & Data Engineering)
Added 3 days ago
CF
Intermediate Observability Engineer
CI Financial
Toronto, ON
- Full-time
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
Added 3 days ago
HT
Full Stack Developer
High Tech Genesis
Ottawa, ON
- Contract
…networking, and high-tech product development. As a Full Stack Developer, you will develop and maintain end-to-end software solutions, including user interfaces, APIs, backend services, and…
Added 3 days ago
PF
Data Analyst 2
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Using Python for exploratory data analysis, data manipulation, automation, and statistical testing.
Added 3 days ago
DS
Senior Software Engineer (Azure)
DEG Services
Concord, ON
- Full-time
…The role combines four core accountabilities: senior software engineering, Level 3 application support, application architecture, and technical mentorship of the development team. Acting as…
Added 3 days ago
M
Principal Cloud & AI Apps Solution Engineer
Microsoft
Toronto, ON
- Full-time
…across Business Applications, Security, Cloud & AI Platform, Data, engineering, partners, and the broader field, and bring the best of Microsoft together around customers' most important…
Added 3 days ago
B
Senior Manager-PM Cloud Development
BMO
Toronto, ON · BMOPLACE
- Full-time
…engineers, architects, and technical leaders, along with quality engineering, platform support, and business management…
Added 3 days ago
AS
Platform Integration and Monitoring Consultant
Axelon Services Corporation
Montreal, QC
- $55.17 CAD / hour
- Other
Minimum 3 years of experience in Python, Shell scripting, and Linux, including market data infrastructure, enterprise monitoring platforms, and operational tooling.
Added 3 days ago
G
Chef d’équipe / Team Lead, Machine Learning & Computer Vision
Genetec
Montreal, QC
- Full-time
Added 3 days ago
G
Chef d’équipe / Team Lead, Machine Learning & Computer Vision
Genetec
Remote, Canada
- Full-time
- Remote
Added 3 days ago
VN
Senior Security Software Engineer/Developer
Vecima Networks Inc.
Canada
- Full-time
We are looking for a Senior Security Software Engineer / Developer to work directly with our software and product engineering teams to design, build, test, release, and maintain well…
Added 3 days ago
RA
Mechatronics Lab Engineering Intern (January - August 2027)
Rivian and Volkswagen Group Technologies
Vancouver, BC
- $30 to $33.75 CAD / hour
- Internship
Studying for a bachelor's or master's degree in computer engineering or electrical engineering or mechatronic engineering or engineering physics at an accredited Canadian university
Added 3 days ago
Technical Account Manager, CANPS
Amazon
Toronto, ON
…sizes including Federal, Healthcare, municipal and Energy, Big Data, and more gain the best value and service from AWS? At AWS Enterprise Support we’re looking for a Technical Account…
Added 3 days ago
IS
Sr. Python Developer
Iris Software Inc.
Toronto, ON
- Full-time
Code Migration & Translation: Interpret and convert legacy SAS programs (including Base SAS, DATA steps, SAS macros, and PROC SQL) into modular, efficient Python scripts.
Added 3 days ago
GT
Payment Operations Analyst
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $40 to $47 CAD / hour
- Contract
Support automation initiatives using technologies such as Python, SQL, Power Automate, Alteryx, UiPath, or similar platforms.
Added 3 days ago
LT
DevOps Platform Engineer
Lorven Technologies Inc.
Montreal, QC
- Contract
Job Title: Senior DevOps & Python Platform Engineering Specialist
Added 3 days ago
IF
Intern – Artificial Intelligence, Automation and Operational Efficiency
iA Financial Group
Vancouver, BC · Montreal, QC · Quebec, QC
- $27.5 to $30.5 CAD / hour
- Full-time
Must have an advanced level of French proficiency;
Added 3 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 3 days ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
The position requires close collaboration with data, product, and engineering teams while documenting results, findings, and trade-offs clearly.
Added 3 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 3 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 3 days ago
L
Senior Python Developer with PySpark and AWS
Luxoft
Toronto, ON
- Full-time
The project involves the data engineering organization’s Analytical Work Bench , which is an integrated development environment. The objective is to rationalize and integrate AWB with…
Added 3 days ago
V
Senior Software Engineer
Vylan
Montreal, QC
- Full-time
…engineers, contribute to architectural decisions, and help shape our engineering standards and tooling. This is a full-time, on-site role based in Montreal,…

S M Software Solutions Inc

RQ00245 – Machine Learning Engineer – Senior

Toronto, ON, Canada

Hybrid

Full-time

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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

Deploy, integrate, monitor, and operationalize machine-learning and AI solutions using modern MLOps practices, creating reusable deployment patterns, tooling, monitoring, and automation. Develop and evaluate models, run experiments, and help move solutions reliably from development into production at enterprise scale.

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 have a strong foundation in statistics and machine-learning methods, experience preparing and validating data and models, and the ability to manage priorities and meet deadlines.

Skills

Azure Machine Learning
Azure AI Foundry
MLOps
Python
Machine Learning
CI/CD
Model Deployment
Model Monitoring
Observability
Containerization
APIs
Automation
SQL
Databricks
Power BI
Power Automate

Visa sponsorship

Not detected in the job text

Keywords

Azure Machine Learning
Azure AI 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 Quality
Statistics
Production Troubleshooting

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Work requirements

Jobs in Canada