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Added 9 mins 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 9 mins ago
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Mechatronics Lab Engineering Intern (January - August 2027)
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Vancouver, BC
- $30 to $33.75 CAD / hour
- Internship
Good at writing shell/bash/python scripts to control hardware and software
Added 9 mins ago
Technical Account Manager, CANPS
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Added 23 mins ago
IS
Sr. Python Developer
Iris Software Inc.
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- Full-time
Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a Sr. Angular Developer (Mobile App Development) for a long term opportunity at Remote.
Added 23 mins ago
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Payment Operations Analyst
Global Technical Talent, an Inc. 5000 Company
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- $40 to $47 CAD / hour
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Support automation initiatives using technologies such as Python, SQL, Power Automate, Alteryx, UiPath, or similar platforms.
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Intern – Artificial Intelligence, Automation and Operational Efficiency
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Vancouver, BC · Montreal, QC · Quebec, QC
- $27.5 to $30.5 CAD / hour
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Senior/Staff Application Support Specialist (Trading & Market Data) - Toronto
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Added 53 mins ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…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…
Added 53 mins ago
C
Senior Python Engineer
Collabera
Toronto, ON
- $90 to $95 CAD / hour
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Python & Backend Development: Strong enterprise Python development experience, including building RESTful APIs and backend services.
Added 53 mins ago
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Machine Learning Engineer
Hays
Toronto, ON
- Contract
This role focuses on model development using Python and PyTorch, with a strong emphasis on ownership, experimentation, and practical impact on experiences used by millions of Canadians…
Added 53 mins ago
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RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly skilled Senior Data Science Developer with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs),…
Added 53 mins ago
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RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
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We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
Added 53 mins ago
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Business Analytics on payments operations
IFG - International Financial Group
Toronto, ON
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Experience with process automation using Python, SQL, Power Automate, Alteryx, UiPath, or similar tools.
Added 53 mins ago
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Senior Python Developer with PySpark and AWS
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Advanced proficiency in Python Core and PySpark, with over 8 years of hands-on experience.
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Senior Java Full Stack Developer
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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…
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Senior Software Engineer
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Experience with relevant programming languages and frameworks commonly used for web platforms (e.g., Java, C#, Python, Node.js, or similar).
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Senior Java Full Stack Developer
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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…
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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 53 mins ago
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Data Scientist
neurohire.ai
Remote, Canada
- $80,000 to $100,000 CAD / year
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Write efficient code using Python and relevant data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.
Added 53 mins ago
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Financial Analyst
neurohire.ai
Remote, Canada
- $75,000 to $95,000 CAD / year
- Full-time
- Remote
Basic knowledge of SQL or Python for financial data analysis is a plus.
Added 53 mins ago
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Senior Data Analytics & Performance Engineer
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…pipelines, and row-level security, along with proficiency in SQL and Python or…
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Proficiency in coding, debugging, or system design with general-purpose programming languages (e.g., Java, C, C++, Python, Go, Shell, JavaScript, Perl, .NET) and core web technologies,…

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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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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