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Added 3 days ago
LC
Manufacturing Engineer - Process & Material Flow
Linamar Corporation
Guelph, ON
- Full-time
Implement systems to improve material flow and increase storage capacities that ensure FIFO material movement in a JIT environment.
Added 3 days ago
TO
Senior Financial Analyst, Revenue (Contract up to 18 Months)
Town of Caledon
Caledon, ON
- Full-time
…seeking an individual who has knowledge of financial information systems to facilitate financial transaction collection, reconciliation and reporting as well as audit…
Added 3 days ago
TO
Supervisor, Corporate Asset Management
Town of Caledon
Caledon, ON
- Full-time
…Maintenance Management System (CMMS), and Geographic Information Systems (GIS) applications. Currently, the Town utilizes PSD Citywide as an EAM tool with integration to Esri ArcGIS, plus…
Added 3 days ago
Communications Specialist
Georgian College
ON
Advanced computer skills and experience in MS Office and content management systems,
Added 3 days ago
Program and Campus Administrator
Georgian College
ON
Knowledge of Banner and other Financial Systems would be considered an asset.
Added 3 days ago
Business Analyst
Government of New Brunswick
NB · NB, Canada
…analysis, requirements documentation, and supporting business…
Added 3 days ago
MI
IoT Developer
Magna International
London, ON
- Full-time
Magna is an innovative leader in the development and manufacturing of high quality complete seating systems. Our solution includes seating structures, mechanisms and hardware, as well as…
Added 3 days ago
S
MUREX – Senior Front Office Application Support Analyst (Credit & Rates)
Scotiabank
Montreal, QC
- Full-time
Ensure reliable file and data delivery to relevant users and systems.
Added 3 days ago
HT
Business Analyst
Hirematic Talent Solutions
ON · Ontario, Canada
- $50 to $60 CAD / hour
- Full-time
Demonstrated experience with Document Management Systems (DMS) and/or Customer Relationship Management (CRM) systems.
Added 3 days ago
K
Senior Integration Developer
Klick
Toronto, ON
- Full-time
The Senior Integration Developer designs, develops, and maintains enterprise integration solutions that connect CRM platforms, cloud data warehouses, lakehouses, databases, and downstream…
Added 3 days ago
PS
Data Engineer
Prodigy Systems Inc.
Toronto, ON
- $90,000 to $100,000 CAD / year
- Contract
Added 3 days ago
VS
Machine Learning Engineer
vTech Solution Canada
Toronto, ON
- Contract
Designs and develops machine learning and deep learning systems
Added 3 days ago
B
Sales Development Representative
BoomerangFX
Mississauga, ON
- Full-time
Qualify prospects based on business fit, current systems, needs, decision-making process and purchasing timeline.
Added 3 days ago
G
Principal, Trade Support
GlassRatner
Toronto, ON
- Full-time
Added 3 days ago
TM
Senior Electrical Engineering Specialist
Trudell Medical International
Kitchener, ON
- $105,000 to $130,000 CAD / year
- Full-time
Collaborate with mechanical, firmware, systems, manufacturing, quality, regulatory, and test engineering teams throughout product development
Added 3 days ago
C
Product Manager
Cavtera
Ottawa, ON · Kanata, ON
- Full-time
…translate those workflows into scalable applications and data systems using Palantir…
Added 3 days ago
CL
CCAIP (IVR) Integration Developer
Cloudious LLC
Toronto, ON · North York, ON
- Contract
We are looking for a skilled CCAIP Integration and IVR Developer to architect, build, and maintain seamless integrations between our Google Contact Center AI Platform (CCAIP), IVR flows and…
Added 3 days ago
TI
Project Control Manager
Tri Innovations
Calgary, AB
- Full-time
The primary objective of this role is to develop, implement, and maintain the project controls systems, processes, and reporting frameworks required to deliver projects safely, on schedule,…
Added 3 days ago
VH
Full Stack Engineer
Verismo Health
Markham, ON
- Full-time
Full-time, on-site Full-Stack Developer based in Markham, Ontario. We build and run healthcare software that handles patient data under PHIPA. We are a small team that works AI-first. Most…
Added 3 days ago
C
Commercial Manager
Cavtera
Ottawa, ON · Kanata, ON
- Full-time
…translate those workflows into scalable applications and data systems using Palantir…
Added 3 days ago
CO
Senior Supervisor, Facility Operations
City of Burlington
Longueuil, QC · All Arenas
- Full-time
Experience: Over 4, up to 7 years of related experience including HVAC, security systems, plumbing and electrical work, with at least 2 years of experience in a supervisory capacity.
Added 3 days ago
Manager - Occupancy Strategy and Recruitment
University of Guelph
Guelph, ON
Experience with StarRez or similar systems and advanced Excel/reporting tools.
Added 3 days ago
Ward Clerk
Health Sciences North
Sudbury, ON
3. Demonstrated computer skills with advanced proficiency in Microsoft Office software (e.g. Word, Excel, Power Point and Outlook) and applicable patient information systems.
Added 3 days ago
Ward Clerk
Health Sciences North
Sudbury, ON
3. Demonstrated computer skills with advanced proficiency in Microsoft Office software (e.g. Word, Excel, Power Point and Outlook) and applicable patient information systems.
Added 3 days ago
OP
Quality Systems Manager
Omega Protein Inc
St. Stephen, NB
- Full-time
Ganong is seeking a Quality Systems Manager to lead our Quality Assurance team and drive the continued development of our quality management systems. This key leadership role is responsible…

vTech Solution Canada

Machine Learning Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Job Title: Machine Learning Engineer - Senior

Location: Toronto, ON

Work Mode: Hybrid (3 days a week onsite)

Description

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:

Creates machine learning models and utilizes data to train models
Focuses on analyzing data to find relations between the input and the desired output
Understands business objectives and develops models that help achieve them, along with metrics to track their progress
Designs and develops machine learning and deep learning systems
Runs machine learning tests and experiments Implements appropriate machine learning algorithms

General Skills:

Experience managing available resources such as hardware, data, and personnel so that deadlines are met Experience analyzing the machine learning algorithms that could be used to solve a given problem and ranking them by their success probability
Experience exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Experience verifying data quality, and/or ensuring it via data cleaning
Experience supervising the data acquisition process if more data is needed
Experience finding available datasets online that could be used for training
Experience defining validation strategies Experience defining the preprocessing or feature engineering to be done on a given dataset
Background in statistics and computer programming
A team player with a track record for meeting deadlines, managing competing priorities and client relationship management experience

Must Haves:

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. Tech stack: Python, SQL, Power BI, Power Automate, VSCode, Git, Jira, Azure (ML Studio, AI Foundry), Databricks.
Deep understanding of ML algorithms and statistics, including classification, regression, clustering, feature engineering, model evaluation, hyperparameter tuning, drift, retraining, performance optimization and production model troubleshooting.

Public Sector Experience: preferred but not required

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More about this job

Responsibilities

Develop, test, and deploy machine-learning and deep-learning models that address business objectives, using appropriate algorithms and measurable performance metrics. Establish reusable MLOps deployment patterns, automation, monitoring, and operational practices to move AI solutions reliably into production and scale them across the enterprise.

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 deep knowledge of machine-learning algorithms, statistics, data preparation, model evaluation, tuning, drift, retraining, and production troubleshooting; public-sector experience is preferred but not required.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Power BI
Power Automate
Visual Studio Code
Git
Jira
Azure Machine Learning
Azure ML Studio
Microsoft Foundry
Azure AI Foundry
Databricks
MLOps
CI/CD
Containers
APIs
Automation
Model Deployment
Monitoring
Observability
Machine Learning
Deep Learning
Classification
Regression
Clustering
Feature Engineering
Model Evaluation
Hyperparameter Tuning
Model Drift
Model Retraining

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