Jobs in Canada

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Added 3 days ago
D
Personal Finance Advisor
Desjardins
Quebec, QC · Caisse Desjardins de Charlesbourg
- Full-time
A minimum of two years of relevant experience
Added 3 days ago
A(
Account Manager
AXIS (AXIS Capital)
Toronto, ON
- Full-time
We encourage you to bring your own experience and expertise to the table, so while there are some qualifications and experiences, we need you to have, we are open to discussing how your…
Added 3 days ago
SM
RQ00240 – Product Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite
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
TB
Client Experience Coordinator
The BUSY Group Canada
Cargill, ON
- Full-time
The Client Experience Coordinator is the first point of contact for clients, employers, partners and visitors. The role manages access, inquiries, registration, appointment coordination and…
Added 3 days ago
GB
Medical Radiation Technologist
Georgian Bay General Hospital
Midland, ON
- $36.84 to $50.24 CAD / hour
- Full-time
The ideal candidate will possess the following key competencies, record of experience and academic preparation:
Added 3 days ago
GB
Magnetic Resonance Imaging Technologist
Georgian Bay General Hospital
Midland, ON
- $38.8 to $54.52 CAD / hour
- Temporary
The ideal candidate will possess the following key competencies, record of experience and academic preparation:
Added 3 days ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
Experience with PyTorch or similar deep learning frameworks.
Added 3 days ago
BU
Communications Liaison Manager
Brock University
St. Catharines, ON
- Full-time
Experience in communications, providing leadership, advice and expertise;
Added 3 days ago
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Bilingual Customer Experience Specialist 🇨🇦
Alan
Toronto, ON
- Full-time
Based in Toronto or ready to relocate, and comfortable with ~4 days per week in the office
Added 3 days ago
SM
Job Title: RQ00393 – Database Admin I
S M Software Solutions Inc
Fredericton, NB
- Internship
Must have 3+ years of Database Administration Experience
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
HE
Marketing Management Trainee
Hype Events
Toronto, ON · Greater Toronto Area, Canada
- $41,000 to $45,000 CAD / year
- Full-time
Our Management Training Program provides hands-on experience across sales and marketing, leadership development, administration, and management. You’ll learn by doing, work alongside…
Added 3 days ago
VE
Employment Counsellor
VPI Employment Services
Hamilton, ON
- Full-time
…for the individuals we serve. Providing exceptional client experience; creating an environment where clients feel safe, heard, supported, and see progression with skill development, and…
Added 3 days ago
S
Software Engineer
Swoon
Toronto, ON
- $46 to $51 CAD / hour
- Contract
We're looking for a developer who combines strong engineering fundamentals with modern web development experience and has embraced AI-assisted development tools as part of their day-to-day…
Added 3 days ago
IG
PLC Programmer
itec group Inc.
Niagara Falls, ON
- $80,000 to $100,000 CAD / year
- Full-time
3+ years of experience in PLC programming and industrial automation.
Added 3 days ago
OM
Manager Project Management
Ontario Motor Vehicle Industry Council (OMVIC)
Toronto, ON
- Full-time
Work Model: Hybrid - requirement of 2 days per week/8 days per month in office
Added 3 days ago
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Senior Product Security Engineer
PheedLoop
Toronto, ON · North York, ON
- Full-time
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 3 days ago
P
Finance Director
Pollin
Toronto, ON
- Full-time
Salary Range: $150,000-$160,000 annually, based on experience
Added 3 days ago
SM
GOAPRDJP000001055 – Application Analyst – Intermediate
S M Software Solutions Inc
AB · Edmonton, AB
- Internship
Onsite Requirement: Three days per week, with availability for onsite meetings when required
Added 3 days ago
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Portfolio Lead (Gum & Mints) - Mars Snacking
Mars
Bolton, ON · BOL-Mars Canada Inc.
- Full-time
10+ years of progressive marketing leadership experience within CPG, food, or adjacent consumer industries, with increasing responsibility for brand, category or business leadership.
Added 3 days ago
JC
Fire Preventative Sales Representative
Johnson Controls
Delta, BC · Vancouver, BC · CAN BC DELTA
- Full-time
…opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience, focused on supporting their physical,…
Added 3 days ago
Financial Advisor - Woodstock (37.5 Hours/week)
Scotiabank
London, ON
…and a performance-oriented culture that includes coaching, learning, and development – there are endless possibilities. At Scotiabank – you can make an impact. You help make the futures of…
Added 3 days ago
N
Data Scientist
neurohire.ai
Remote, Canada
- $80,000 to $100,000 CAD / year
- Full-time
- Remote
0–1 year of experience in Data Science, Machine Learning, Data Analytics, or a related technical role.

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 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.

WhatsApp Group

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Email is the best way to reach us.

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 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