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Added 13 mins ago
J
Applied AI Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Applied AI Engineer based in Canada.
Added 13 mins ago
D
AI Deployment Strategist
Didero
Toronto, ON
- Full-time
Prior experience at a top-tier consulting firm (e.g., MBB, Big 4 strategy arm) or in a Forward Deployed Engineer–style role.
Added 13 mins ago
D
Senior AI Deployment Strategist
Didero
Toronto, ON
- Full-time
Prior experience at a top-tier consulting firm (e.g., MBB, Big 4 strategy arm) or in a Forward Deployed Engineer–style role.
Added 13 mins ago
D
Forward Deployed Engineer
Didero
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
We are looking for a new-graduate Forward Deployed Engineer to join our team in Toronto. This role is for a technically strong, curious engineer who wants to work directly with customers,…
Added 13 mins ago
D
GTM Engineer
Didero
Toronto, ON
- Full-time
As a GTM Engineer at Didero, you’ll help build and scale the systems that power our go-to-market growth. Combining technical problem-solving, data, automation, and creative outbound…
Added 13 mins ago
CL
Member of Technical Staff (Migrations)
Cockroach Labs
Toronto, ON · North York, ON
- Full-time
…and Cockroach Continuum. We're looking for a staff software engineer to help build out the Migration Assistant, expand the capabilities of the MOLT toolkit, and to drive innovation around…
Added 43 mins ago
AH
AI Product Engineer
Angel Host
Montreal, QC
- Full-time
As our AI Product Engineer, you will build, validate and ship products across both Sentinel and Angel Host, using AI-assisted development as your primary way of working. You will report to…
Added 1 hour ago
AH
AI Product Engineer IT - Montréal, Quebec (Hybrid)
Angel Host
Montreal, QC
- Full-time
As our AI Product Engineer, you will build, validate and ship products across both Sentinel and Angel Host, using AI-assisted development as your primary way of working. You will report to…
Added 1 hour ago
TC
Staff Technology Operations Lead
TJX Companies
ON · Mississauga, Ontario
- $105,152.2 to $155,152.2 CAD / year
- Full-time
Act in a Lead Engineer capacity in modernizing front and back of stores systems by prioritizing, providing guidance and resolving issues
Added 1 hour ago
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Senior Backend Engineer (Python/GCP)
Hays
Toronto, ON
- Contract
As a Senior Backend Engineer, you will be responsible for designing, building, and maintaining scalable backend services and APIs that support modern cloud-based applications. Working…
Added 1 hour ago
R
Founding Product & Solutions Lead
Rainharbor
Toronto, ON
- Full-time
Added 1 hour ago
W
Senior Mechanical Designer
Worley
Calgary, AB · Edmonton, AB
- Full-time
Assist senior engineer/designer in carrying out technical tasks, including development of technical documents (datasheets, equipment lists, material requisitions, and EWPs/CWPS).
Added 1 hour ago
W
Senior Electrical Engineer
Worley
Calgary, AB · Edmonton, AB
- Full-time
As a Senior Power Systems Engineer with experience in large industrial facilities, you will work within multi-disciplinary teams involved in integrated power system plans,…
Added 2 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 2 hours ago
M
Robotics Software Engineer, Teleoperation
Mecka
Remote, Canada
- $200,000 to $240,000 CAD / year
- Full-time
- Remote
Work with a Teleop Platform Engineer on the end-to-end latency budget and on what we record, at what rate, in what format.
Added 2 hours ago
M
Teleop Platform Engineer, Real-Time Systems & UI
Mecka
Remote, Canada
- $200,000 to $240,000 CAD / year
- Full-time
- Remote
Added 2 hours ago
W
Senior Mechanical Engineer
Worley
Calgary, AB · Edmonton, AB
- Full-time
The Senior Mechanical Engineer – HVAC will be based in either Calgary, AB or Edmonton, AB and will play a pivotal role in supporting engineering activities related to HVAC systems across a…
Added 2 hours ago
W
Senior Structural Engineer
Worley
Calgary, AB · Edmonton, AB
- Full-time
As a Senior Structural Engineer, you will provide advanced technical expertise and engineering leadership for structural engineering activities across medium to large, complex projects. You…
Added 2 hours ago
W
Mechanical Engineer Level II
Worley
Calgary, AB · Edmonton, AB
- Full-time
As an Intermediate Mechanical Engineer at Worley, the successful candidate will be a part of a global team that delivers excellent project services to our customers in Alberta and…
Added 2 hours ago
W
Senior Mechanical Engineer
Worley
Markham, ON
- Full-time
We are currently recruiting for a Senior Metallurgical Engineer. Our team includes world class experts and dynamic go-getters. This is a full-time position based in Markham, Ontario.
Added 2 hours ago
M
Senior Machine Learning Engineer / Applied Scientist
Microsoft
Vancouver, BC
- Full-time
We are looking for a Senior Machine Learning Engineer / Applied Scientist to help design, evaluate, and ship the next generation of AI-powered product experiences. The role combines strong…
Added 2 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 2 hours ago
M
Solution Engineer - Cloud & AI Applications
Microsoft
Toronto, ON
- Full-time
…so, we invite you to join our team as a Cloud & AI Solution Engineer in AI Applications for Enterprise customers at Microsoft Canada. Here, you'll be at the forefront of innovation, working…
Added 2 hours ago
M
Cloud & AI Solution Engineer - Azure Platform
Microsoft
Toronto, ON
- Full-time
…challenges in the AI era? Join us as a Cloud & AI Solution Engineer - Azure Platform for enterprise and commercial customers at…
Added 2 hours ago
H
Principal Software Engineer - Collateral Treasury Trading Platforms
HSBC
Toronto, ON
- Full-time

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 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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