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Added 3 days ago
PS
Data Engineer
Prodigy Systems Inc.
Toronto, ON
- $90,000 to $100,000 CAD / year
- Contract
Minimum 3 years' experience in Data Engineering, Data Analysis, Data Architecture or a closely related discipline.
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
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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
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
Since 2004, Tri Innovations has been a trusted partner delivering engineering and construction management solutions to the midstream energy, bulk handling, transportation, and renewable…
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
Senior Business Analyst
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Degree in related discipline (Finance Management Information Systems, Business Administration, Computer Science, Computer Engineering, etc.) or equivalent combination of training and…
Added 3 days ago
TI
Business Analyst
Teckhorizon Inc
Toronto, ON
- Contract
Apply business process re-engineering and identify practical, cost-effective service delivery improvements.
Added 3 days ago
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Software Engineer (React & TypeScript)
Applicantz
Toronto, ON
- $50 to $55 CAD / hour
- Contract
As a global leader in 3D design, engineering, and entertainment software, we help people imagine, design, and make a better world. We accelerate better design through an unparalleled depth…
Added 3 days ago
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Technical Program Associate or Manager
Jobgether
Canada
- Full-time
Partner with Operations, Product, Research, Engineering, and Data teams to ensure technical systems support program objectives and function reliably in field conditions.
Added 3 days ago
SR
Senior Maintenance and Reliability Engineer
Steel Reef
Calgary, AB
- Full-time
…electric motors, pumps, generators, Solar turbines, and electrical systems. The successful candidate will gain broad exposure to these assets while working closely with Operations,…
Added 3 days ago
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Vice President Operations
Nualtis
Montreal, QC
- Full-time
Education: B.S. in Chemical Engineering, Chemistry, or Business discipline. A background demonstrating high academic rigor (e.g., top-tier university) is highly valued.
Added 3 days ago
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Data Business Analyst
Altis
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Collaborate with engineering and architecture teams on data mapping and integration across multiple systems.
Added 3 days ago
HC
Buyer
Horstman Canada
Brampton, ON
- Full-time
Cross-Functional Collaboration: Work closely with Engineering, Project Management, Quality Assurance and other internal and group teams to align procurement strategies with project goals…
Added 3 days ago
ZA
Architectural Technologist
Zedd Architecture
London, ON
- Full-time
Thorough knowledge of building systems, building science and construction detailing in a cold climate.
Added 3 days ago
Program Manager, Critical Suppliers- 515 Program
Westerkirk
Calgary, AB
Working closely with Supply Chain, Procurement, Manufacturing, Engineering, Quality, Planning, and other key stakeholders, the Program Manager will proactively identify and address…
Added 3 days ago
Test Automation Engineer
Red River Mutual
Winnipeg, MB
Validate data flows between systems and ensure accurate data mapping and transformation.
Added 3 days ago
CO
Job ID #32328: Superintendent, Wastewater Collection and Stormwater Operations
City of Hamilton
Hamilton, ON
- Full-time
Added 3 days ago
ZA
Architectural Technologist
Zedd Architecture
London, ON
- Full-time
Must have a thorough knowledge of building systems, building science and construction detailing in a cold climate.
Added 3 days ago
MA
Compensation Consultant (Senior Associate)
Marsh Agency
Montreal, QC
- Full-time
Develop workforce rewards programs including salary structures, incentive programs, job evaluation systems, pay equity and transparency programs, skills frameworks, job architectures, etc.
Added 3 days ago
MA
Oliver Wyman - Senior Lead AI Developer
Marsh Agency
Toronto, ON
- Full-time
…unprecedented products across industries. As a Senior Lead AI Developer , you are primarily responsible for managing technical projects and helping teams design and build AI/ML systems and…
Added 3 days ago
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Data Engineer – Databricks & MDM
Teqfocus
Toronto, ON
- Contract
We are seeking a hands-on Data Engineer with 5+ years of experience to support data engineering and master data management initiatives. The ideal candidate brings practical Databricks…
Added 3 days ago
PH
MEP Project Manager - Permanent - 4344
Parker Huggett - A Division of LRO Staffing
Ottawa, ON
- Full-time
You are a self-starter with a strong technical understanding of building systems and a proven ability to manage complex construction projects.
Added 3 days ago
TB
Forward Deployed AI Engineer
Type B Digital
Calgary, AB
- Full-time
This is a hybrid/in-office role for someone based in Calgary, Alberta. You’ll work closely with client operations, engineering and IT teams to turn real operational problems into working AI…

vTech Solution Canada

Machine Learning Engineer

Toronto, ON, Canada

Contract

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Applications open in a new tab.

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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