Jobs in Canada

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Added 10 hours ago
M
Intermediate DevOps Engineer
MDA
Richmond, BC
- Full-time
…industry. A robotics, satellite systems and geointelligence pioneer with a 55-year+ story of world firsts and more than 450 missions, MDA Space is a global leader in communications…
Added 11 hours ago
NT
Intermediate Machine Learning Developer
Novarc Technologies Inc.
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
As an Intermediate Machine Learning Developer, reporting to the Development Manager, AI/Robotics, you will be responsible for building and deploying perception, classification,…
Added 11 hours ago
J
Software Developer - Senior
Joblinxsapp
Toronto, ON
- Full-time
Familiarity with Python and machine learning libraries.
Added 12 hours ago
C
Associate AI Scientist , Technology Leadership Advancement Program(TLAP)
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 14 hours ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…platforms and services that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, AI-driven data…
Added 14 hours ago
L
Principal Applied AI/ML Scientist
lululemon
Vancouver, BC
- Full-time
Expert ‑ level experience with modern ML tools and ecosystems (e.g., Python, PyTorch , cloud ML platforms, distributed training/inference systems, and scalable data pipelines)
Added 15 hours ago
A
RQ11580 – AI/ML Engineer (LLM, Python, Databricks) | Ontario Government | Onsite Toronto
Amyantek
Toronto, ON
- Contract
Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.
Added 15 hours ago
A
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
We are seeking a Principal Engineer with at least 14 years of experience to serve as a technical visionary and thought leader for Acceldata's Open Data Platform (ODP). In this role, you…
Added 16 hours ago
RT
Senior Software Developer
Russell Tobin
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.
Added 16 hours ago
A
Data & Analytics Solutions Architect (AWS + Snowflake + Cortex)
AceStack
Toronto, ON
- Full-time
Must Have Technical/Functional Skills
Added 17 hours ago
IS
AI/ML Lead (Sagemaker)
Iris Software Inc.
Toronto, ON
- Contract
Own relationship with key internal stakeholder management / drive product roadmap - Ensure seamless collaboration across cross-functional teams including data scientists, data engineers,…
Added 17 hours ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- Full-time
This is a full-time, hybrid position, working in our Toronto office three days per week
Added 18 hours ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $70 to $90 CAD / hour
- Contract
Experience with scikit-learn or comparable Python ML libraries.
Added 1 day ago
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Senior Director, Engineering
Jobgether
Canada
- Full-time
…power, area, and yield. Combining deep circuit-design expertise with strategic leadership, you will also serve as a senior technical partner to customers throughout presales, integration,…
Added 1 day ago
S
Graph Data Scientist
Swoon
Toronto, ON
- Contract
Work arrangement: Hybrid, 3 days per week onsite
Added 1 day ago
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Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB · NB · Virtual, New Brunswick
- Full-time
Cvent is a leading meetings, events, and hospitality technology provider with more than 6,000+ employees and 34,000+ customers worldwide, including 60% of the Fortune 500. Founded in 1999,…
Added 1 day ago
C
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
- Full-time
Cvent is a leading meetings, events, and hospitality technology provider with more than 6,000+ employees and 34,000+ customers worldwide, including 60% of the Fortune 500. Founded in 1999,…
Added 1 day ago
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Machine Learning (Summer 2027)
Dawson
Toronto, ON
- Internship
Proficiency in Python is required; experience with TypeScript and Rust is considered an asset.
Added 1 day ago
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RQ11580 - Software Developer - Senior
Maarut
Toronto, ON
- Contract
Familiarity with Python and libraries like pandas,
Added 1 day ago
3
Forward Deployed Engineer
3Pillar
Canada
- Full-time
Strong Python proficiency, with production experience using LangChain and/or LangGraph.
Added 1 day ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 1 day 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 1 day 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 1 day 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 1 day 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

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 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

Deploy, integrate, monitor, and operationalize machine-learning and AI solutions using MLOps practices, reusable deployment patterns, tooling, 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 understand machine-learning algorithms and statistics and have experience with data quality, feature engineering, validation, model evaluation, and production troubleshooting.

Skills

Azure Machine Learning
Azure AI Foundry
MLOps
CI/CD
Python
Machine Learning Engineering
Model Deployment
Model Monitoring
Observability
Containerization
API Integration
Automation
SQL
Databricks
Machine Learning Algorithms
Statistics

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
Containers
APIs
Automation
Model Deployment
Model Monitoring
Observability
Classification
Regression
Clustering
Feature Engineering
Model Evaluation
Hyperparameter Tuning
Model Drift
Model Retraining
Deep Learning
Data Quality
Data Visualization
Production Troubleshooting

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Work requirements

Jobs in Canada