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Added 14 mins ago
GS
Staff Site Reliability Engineer, Application
Guidewire Software
Toronto, ON
- Full-time
…mission-critical applications. As a Staff Site Reliability Engineer, you aren't just maintaining systems; you are defining the technical vision for how we operate at scale, setting the…
Added 1 hour ago
J
Applied AI Engineer
Jobgether
Canada
- Full-time
As an Applied AI Engineer, you will build and operate the core AI infrastructure that powers reliable, secure, and scalable AI features in production environments. You will focus on AI…
Added 1 hour ago
D
AI Deployment Strategist
Didero
Toronto, ON
- Full-time
Own the end-to-end post-sale journey, from deployment scoping through onboarding, production, full adoption, and value realization, leading AI agent implementations that translate customer…
Added 1 hour ago
D
Senior AI Deployment Strategist
Didero
Toronto, ON
- Full-time
Own the end-to-end post-sale journey, from deployment scoping through onboarding, production, full adoption, and value realization, leading AI agent implementations that translate customer…
Added 1 hour ago
CL
Member of Technical Staff (Migrations)
Cockroach Labs
Toronto, ON · North York, ON
- Full-time
In the first month, you'll join the team and get familiar with our production systems, the MOLT tooling suite, the Migration Assistant's architecture, and how customers actually migrate to…
Added 2 hours ago
C&
Manufacturing Engineer
Communications & Power Industries (CPI)
Georgetown, ON
- From $82,000 CAD / year
- Full-time
We are seeking a Manufacturing Engineer to join our CPI Power Electronics team, focusing on the quality and reliability of CPI power amplifiers and/or medical generator products. Working…
Added 2 hours ago
H
Senior Backend Engineer (Python/GCP)
Hays
Toronto, ON
- Contract
…seeking experienced Backend Engineers to support the delivery of production-grade systems in a fast-paced…
Added 3 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 3 hours ago
LC
Coordinator - System
Linamar Corporation
Guelph, ON
- Full-time
Responsible for maintaining and improving the quality management systems within the manufacturing environment. This role ensures that all processes, procedures, and standards align with the…
Added 3 hours ago
M
Robotics Software Engineer, Teleoperation
Mecka
Remote, Canada
- $200,000 to $240,000 CAD / year
- Full-time
- Remote
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and…
Added 3 hours ago
M
Teleop Platform Engineer, Real-Time Systems & UI
Mecka
Remote, Canada
- $200,000 to $240,000 CAD / year
- Full-time
- Remote
3+ years building production level real-time networked systems: video streaming, video conferencing, cloud gaming, remote desktop, live broadcast, or similar.
Added 3 hours ago
M
Senior Machine Learning Engineer / Applied Scientist
Microsoft
Vancouver, BC
- Full-time
Build production-grade ML systems (scalability, latency, reliability, observability, maintainability).
Added 3 hours ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
As a Software Engineer II on our team, you will design, develop, test, and maintain components of highly scalable and reliable cloud infrastructure. You will solve technical challenges…
Added 3 hours ago
S
DCN Design for Manufacturing Engineer
SLB
Calgary, AB
- Full-time
SLB is seeking a highly motivated Design for Manufacturing (DFM) Engineer to join its Data Center business. This individual will serve as a key liaison between Product Design, Engineering,…
Added 4 hours ago
I
AI Product Engineer
Intersog
Remote, Canada
- Full-time
- Remote
We are looking for an AI Product Engineer to design, build, and deliver production-ready AI-powered products from end to end - from databases and backend systems to intuitive user…
Added 4 hours ago
S
DCN Design for Manufacturing Engineer
SLB
Calgary, AB
- Full-time
SLB is seeking a highly motivated Design for Manufacturing (DFM) Engineer to join its Data Center business. This individual will serve as a key liaison between Product Design, Engineering,…
Added 4 hours ago
P
Senior Site Reliability Engineer
Punt
Canada
- Full-time
We’re seeking a Senior Site Reliability Engineer to join Production Engineering, the team that help advance our infrastructure, security, reliability, and platform maturity. This is a…
Added 4 hours ago
P
Frontend Software Engineer (Intermediate)
Punt
Canada
- Full-time
We are seeking an Intermediate Frontend Engineer to help build and scale the frontend for our online social gaming platform. This is a hands-on engineering role for someone with solid…
Added 4 hours ago
P
Backend Engineer (Intermediate)
Punt
Canada
- Full-time
This is a growth-oriented backend engineering role for someone who wants to deepen their skills on systems that operate at scale. You will work close to the core of the platform,…
Added 4 hours ago
P
Senior Data Engineer (Lead)
Punt
Canada
- Full-time
We are looking for a Senior Data Engineer to join our Data Spine function. The team owns the canonical event contract, the warehouse, the certified data layer and the serving layer. Every…
Added 4 hours ago
P
Site Reliability Engineer (Intermediate)
Punt
Canada
- Full-time
We’re seeking a Site Reliability Engineer to help advance our infrastructure, security, reliability, and platform maturity. This is an individual contributor role for someone who can…
Added 4 hours ago
P
Senior Backend Software Engineer
Punt
Canada
- Full-time
This is a high-impact backend engineering role for someone who wants to build systems that matter at scale. You will work close to the core of the platform, shaping the architecture,…
Added 4 hours ago
P
Senior Frontend Software Engineer
Punt
Canada
- Full-time
We are seeking a Senior Frontend Engineer to help design, build, and scale the frontend architecture for our online social gaming platform. This is a hands-on engineering role for someone…
Added 4 hours ago
P
Data Engineer (Intermediate)
Punt
Canada
- Full-time
We are looking for a Data Engineer to join our Data Spine function - the team that owns the canonical event contract, the warehouse, and the serving layer that every other data function…
Added 4 hours ago
P
Associate Data Engineer
Punt
Vancouver, BC
- Full-time
We are seeking an Associate Data Engineer to design, build, and maintain the core data pipelines and analytics models that power our platform. Working alongside senior engineers, you will…

S M Software Solutions Inc

RQ00245 – Machine Learning Engineer – Senior

Toronto, ON, Canada

Hybrid

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Hybrid
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 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, creating reusable deployment patterns, tooling, monitoring, and automation. Develop and test models, prepare and analyze data, select appropriate algorithms, and move solutions reliably from experimentation 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 preparation, feature engineering, validation, model evaluation, troubleshooting, and production operations.

Skills

Azure Machine Learning
Azure AI Foundry
MLOps
CI/CD
Python
Machine Learning
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
Microsoft 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
Production Troubleshooting

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