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Added 9 mins ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
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…
Added 9 mins ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
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…
Added 9 mins ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
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…
Added 1 hour ago
VG
Senior Protection Engineer
Viking Global Technologies, Inc.
Prescott, ON
- Full-time
Company: Viking Global Technologies, Inc.’s majority-owned subsidiary, Viking Protection Systems, LLC ,is seeking a highly experienced electric-utility protection engineer to help advance…
Added 3 hours ago
BG
Senior Renewable Energy Technical Advisor
BTY Group
Vancouver, BC
- $100,000 to $125,000 CAD / year
- Full-time
…provides Technical Due Diligence, Construction Management, Owner’s Engineer, Insurance and Offtake advisory Lenders’ Technical Advisor, M&A Due Diligence, and Owner’s Advisory services…
Added 5 hours ago
A
Person Responsible for Maintenance (PRM)
Aviosave
ON · Ontario, Canada
- Full-time
Canadian Aircraft Maintenance Engineer (AME) license.
Added 5 hours ago
WP
Enclosure Project Manager - Diagnostics
Walter P Moore
Toronto, ON
- Full-time
In this position, the qualified individual will design repairs for existing enclosure systems. They will perform review of enclosure systems for new construction, renovation, and…
Added 5 hours ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
We're on the hunt for a top-tier Senior Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing…
Added 6 hours ago
FT
Senior Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Machine Learning Engineer At Reddit, You Will Design And Build Production ML Systems That Power Core Experiences Across The Platform, Including
Added 10 hours ago
S&
Lead Piping Stress Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
The Piping Engineering & Analysis discipline performs evaluations for piping systems in accordance with ASME Boiler and Pressure Vessel Code, ASME B31.1, ASME B31.7, and other codes as…
Added 10 hours ago
S&
Senior Piping Stress Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…existing generation nuclear projects, and will interface with systems engineering, structural engineering, piping design, and support design groups, for the design of piping systems and…
Added 10 hours ago
Senior Quality Assurance Engineer
NetBrain
Toronto, ON
NetBrain is looking for an experienced Senior QA Engineer to work on a variety of automation-related projects for our unparalleled network automation platform, powered by agentic-AI. We…
Added 10 hours ago
Senior Software Engineer - Mobile (React Native/iOS/Android)
BitGo
Toronto, ON
BitGo is hiring a Senior Mobile Software Engineer to build the apps our retail users use to manage and move digital assets. You will own features from design through release, with a focus…
Added 10 hours ago
Senior Software Engineer - Mobile Backend
BitGo
Toronto, ON
BitGo is looking for a Senior Software Engineer (Backend) to join our Mobile team and help us build the first-time user experience for our retail users.
Added 12 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
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…
Added 12 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
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…
Added 12 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
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…
Added 13 hours ago
A
Person Responsible for Maintenance (PRM)
Aviosave
ON · Ontario, Canada
- Full-time
Canadian Aircraft Maintenance Engineer (AME) license.
Added 14 hours ago
GE
Asset Management Engineer
Gwaii Engineering Ltd.
Victoria, BC
- Full-time
We are seeking an Asset Management Engineer (Infrastructure/ Utilities) to join our growing team. This role is intentionally open across junior, intermediate, and senior experience levels,…
Added 14 hours ago
WI
Senior Process Engineer - Wastewater Treatment
WSP in Canada
Sarnia, ON
- Full-time
As a Senior Process Engineer – Wastewater Treatment, you will lead the planning, evaluation, design, commissioning, and optimization of municipal treatment facilities. You will combine…
Added 15 hours ago
HB
Senior Linux Platform Engineer - Trading Firm - $150,000-$350,000 CAD + Bonus
Hunter Bond
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- $150,000 to $350,000 CAD / year
- Full-time
My client are looking for a Senior Linux Engineer to join their team.
Added 18 hours ago
WS
Maintenance Gasfitter
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Winnipeg, MB
- Full-time
Power Engineering Asset: Possessing a valid Class 3 or 4 Power Engineer Certificate (or higher) is considered a distinct asset for managing institutional steam systems.
Added 19 hours ago
YE
Senior Mechanical Engineer
YJE Engineering
Calgary, AB
- Full-time
We are seeking an experienced Senior Mechanical Engineer to lead the design and delivery of HVAC, plumbing, and fire protection systems across a variety of sectors, including commercial,…
Added 20 hours ago
S
Mechanical Engineer (Intermediate – Senior)
SYSTRA
Toronto, ON
- Full-time
We are seeking a Mechanical Engineer (Plumbing and Drainage) to support the Stops & TPSS scope of an LRT project. The role is responsible for preparing the plumbing and fire fighting design…
Added 21 hours ago
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Senior or Principal Civil Engineer
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As a Senior or Principal Civil Engineer, you will lead and deliver civil engineering solutions for environmental remediation, landfill, closure, restoration, and related infrastructure…

S M Software Solutions Inc

RQ00245 – Machine Learning Engineer – Senior

Toronto, ON, Canada

Hybrid

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Hybrid
Apply by: Dec 8, 2026
Posting language: English
Posted: Nov 8, 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, tooling, 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 with data preparation, feature engineering, validation, model evaluation, and production troubleshooting.

Skills

Azure Machine Learning
Azure AI Foundry
MLOps
Python
Machine Learning Engineering
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
Microsoft Foundry
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 Cleaning
Data Visualization

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