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Added 11 mins ago
T
Senior Manager, Operational Resilience Scenario Testing
TD
Toronto, ON
- Full-time
· Produce concise executive reporting on test coverage, outcomes, recurring themes, risk trends, readiness and remediation progress for senior leadership and governance committees.
Added 11 mins ago
T
Manager, Operational Resilience Scenario Testing
TD
Toronto, ON
- Full-time
· Facilitate testing sessions with operational and senior stakeholders, maintaining pace, realism, constructive challenge and clear documentation of decisions and observations.
Added 11 mins ago
ES
Data Architect - 12 month contract
Euna Solutions
ON · Oakville, Ontario
- Contract
Senior data architecture experience with production AWS systems, including S3-based lake or lakehouse designs and a governed analytical layer
Added 11 mins ago
W
Senior Planner, Project Manager
WSP
Ottawa, ON
- Full-time
WSP is seeking an experienced Senior Planner and Project Manager to lead and manage a wide range of municipal policy planning and land development projects while playing a key role in…
Added 11 mins ago
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Parts Receiver (Parts Wholesale GTA)
Performance Auto Group
Brampton, ON
- Full-time
Assist with delivery as required by management or senior personnel.
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Senior/Staff Application Support Specialist (Trading & Market Data) - Toronto
Solactive AG
Toronto, ON
- Full-time
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Added 25 mins ago
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Senior Fabrication Method Engineer
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Job Title: Senior Fabrication Method Engineer
Added 25 mins ago
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Associate Lawyer (Generalist) with 5-8+ years PQE
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Negotiated base salary, collected-fee and client-development incentives, and opportunities for senior responsibility and practice leadership;
Added 25 mins ago
TI
Senior System Analyst
Teckhorizon Inc
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Our client is looking for system analyst to provide senior technical expertise, solution design, project leadership, and coordination for the development, implementation, and maintenance of…
Added 25 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 25 mins ago
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RQ11717 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly experienced Senior Business Analyst with over 10 years of experience in business analysis, requirements gathering, business process re-engineering, business case…
Added 25 mins ago
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Senior Java Full Stack Developer
Miratech
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- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 25 mins ago
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Senior Java Full Stack Developer
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London, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 25 mins ago
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Senior Product Security Engineer
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Lock down the developer workstation as a first-class attack surface. Set the bar for endpoint hardening, extension hygiene, secret management, and least-privilege access across every…
Added 25 mins ago
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Senior System Administrator
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Newmarket, ON
- $110,000 to $140,000 CAD / year
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Robert Half is exclusively partnered with a well-established organization in Newmarket that is looking to hire a Senior Systems Administrator to lead infrastructure, security, and IT…
Added 25 mins ago
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Senior Data Analytics & Performance Engineer
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Senior Software Developer, 6+ years - Remote/Hybrid (Canada)
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Added 41 mins ago
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General Manager, Executive Dining & Events - Corporate Services (40253001)
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- Full-time
…all new hires in hospitals, long term care facilities, and senior homes to be fully vaccinated against COVID-19 and may require any other new hires to be fully vaccinated based on the…
Added 56 mins ago
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Environmental Manager - Eastern Canada
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Prepare regular updates for Director and senior leadership on environmental compliance performance, developments,
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This is a senior leadership opportunity for an organized, commercially minded individual who enjoys developing people, improving business processes and building efficient, high-performing…
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Manager, Enterprise Risk Management (Governance, Risk and Compliance Services)
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…as well as independently, with guidance and oversight from senior professionals.You will have the opportunity to work across industries and geographies on complex and high-impact risk…
Added 1 hour ago
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Senior Business Analyst
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The Senior Business Analyst is responsible for improving the systems and business processes that support the BAO’s regulatory work. Working across the organization and closely with IT, this…
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Senior Project Manager (13992)Senior Project Manager (13992)Senior Project Manager (13992)Senior Project Manager (13992)Senior Project Manager (13992)
Toronto Transit Commission (TTC)
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- Full-time
Reporting to the Head, Renewable Energy Programs, the Senior Project Manager will provide strategic leadership across multidisciplinary teams and oversee complex, multi-year capital…
Added 1 hour ago
L
Executive Coordinator & Business Analyst
Lockton
Toronto, ON · Greater Toronto Area, Canada
- $70,000 to $100,000 CAD / year
- Full-time
The Executive Coordinator & Business Analyst provides executive, operational and analytical support to senior leaders. The role combines core executive-support responsibilities, including…

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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