Jobs in Canada

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Added 4 days ago
G
Chef d’équipe / Team Lead, Machine Learning & Computer Vision
Genetec
Remote, Canada
- Full-time
- Remote
Added 4 days ago
GT
Payment Operations Analyst
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $40 to $47 CAD / hour
- Contract
Onsite Flexibility: Hybrid - 2 days on-site (Mondays and Tuesdays)
Added 4 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 4 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 4 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 4 days ago
I-
Business Analytics on payments operations
IFG - International Financial Group
Toronto, ON
- Contract
Hybrid: 2 days onsite per week (Monday & Tuesday)
Added 4 days ago
N
Service Router Test Student
Nokia
Ottawa, ON
- Full-time
You must have:
Added 4 days ago
FE
QA Functional Tester Junior Intern
Future Electronics
Kirkland, QC
- Internship
Exposure to Python and ability to read, understand, or create simple scripts is required.
Added 4 days ago
HT
Intermediate Software Developer
Hirematic Talent Solutions
Toronto, ON
- $40 to $45 CAD / hour
- Full-time
Work Arrangement: Onsite 5 days per week
Added 4 days ago
H
Senior Backend Engineer (Python/GCP)
Hays
Toronto, ON
- Contract
Location: Hybrid, 1 day onsite, Downtown Toronto, ON
Added 4 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 4 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 4 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 4 days ago
S
Senior Windows Server Automation Engineer
Swoon
Toronto, ON
- Contract
…automation, not chasing tickets. If you write Ansible and/or Python like a developer - modular, idempotent, source-controlled, tested - and you know Windows Server infrastructure cold, this…
Added 4 days ago
TI
Technical Architect
Themesoft Inc.
Toronto, ON
- Contract
· Hands-on technical ability with programming languages including Python, TypeScript, Node.js, MongoDB, expertise in REST APIs, JSON, DevOps, and infrastructure considerations.
Added 4 days ago
RI
Contact Center/Amazon Connect with AWS DevOps
Raas Infotek
Toronto, ON
- Contract
Location : Toronto,ON -Hybrid (3 days per week onsite)
Added 4 days ago
QW
QA Analyst
Quantum World Technologies Inc.
Toronto, ON
- Contract
Develop and maintain test automation scripts using Python/PyTest.
Added 4 days ago
DI
ETL Software Developer
Dawn InfoTek
Toronto, ON
- Contract
We are currently seeking a highly skilled ETL Software Developer to join our dynamic team and support one of our clients.
Added 4 days ago
KR
Amazon Connect & AWS DevOps
KTek Resourcing
Toronto, ON
- Contract
Location: Toronto, ON (3 days per week onsite)
Added 4 days ago
AI
DevOps / OpenShift Engineer – PostgreSQL
Aptino, Inc.
ON · Ontario, Canada
- Contract
Location: Toronto, ON (4 Days Onsite – Mandatory)
Added 4 days ago
Lead Engineer, Test Development
Celestica International LP
Newmarket, ON
…validation, qualification and installation support for manufacturing…
Added 4 days ago
GL
Senior Cloud Engineer
goeasy Ltd.
Mississauga, ON
- Full-time
Proficiency in Python, PowerShell, Bash, or similar scripting languages, including experience using APIs and cloud SDKs to automate operations.
Added 4 days ago
C
Senior Program Manager – AI Security Research
Centraprise
Toronto, ON
- Contract
Location: Toronto, Canada (Hybrid – 3 Days Onsite/Week)
Added 5 days ago
KI
Observability Engineer
KPG99 INC
Montreal, QC
- Contract
Location : Montreal, QC - Canada - Hybrid 3 days a week - onsite interview is mandatory.
Added 5 days ago
Développeur.se de logiciels - Flux de travaux agentifs / Software Developer - Agentic Workflows
Electronic Arts
Montreal, QC
As a Software Developer, you will help build the agentic harness that turns intent into working games and the loop that lets an agent write, run, evaluate, and repair its own work.

S M Software Solutions Inc

RQ00245 – Machine Learning Engineer – Senior

Toronto, ON, Canada

Hybrid

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Hybrid
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 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.

Apply on LinkedIn About employer

More about this job

Responsibilities

Deploy, integrate, monitor, and operationalize machine-learning and AI solutions using MLOps practices, creating reusable deployment patterns, tooling, monitoring, and automation. Develop and test models, prepare and analyze data, select appropriate algorithms, and move solutions reliably from experimentation 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 understand machine-learning algorithms and statistics and have experience with data preparation, feature engineering, validation, model evaluation, troubleshooting, and production operations.

Skills

Azure Machine Learning
Azure AI Foundry
MLOps
CI/CD
Python
Machine Learning
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
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 Quality
Production Troubleshooting

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Work requirements

Jobs in Canada