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Added 52 mins ago
RB
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- Full-time
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Knowledge of Experian Strategy Design Studio, Modeling software (Alteryx, Knowledge Seeker), data mining coding (SQL, Python,
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This is an onsite position working out of our Edmonton office Monday through Friday.
Added 12 hours ago
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MMC Corporate
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- Other
…(REST/JSON/GraphQL), Postman/Bruno, and GitHub; scripting knowledge of…
Added 12 hours ago
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Power BI & Azure Platform Engineer / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
Develop data transformation solutions using SQL, Python, and PySpark.
Added 12 hours ago
VS
Senior Machine Learning Engineer
vTech Solution Canada
Toronto, ON
- Contract
Strong Python and machine-learning engineering skills with demonstrated experience taking models from experimentation into reliable production environments. Tech stack: Python, SQL, Power…
Added 12 hours ago
Director of Firmware Engineering
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Ottawa, ON
…coherent DSP products for high-speed optical interconnects. Based onsite in Ottawa, Canada, you will own the firmware that brings our coherent DSP ASICs to life, controlling SerDes, framer,…
Added 12 hours ago
AW
Senior Quality Assurance Automation Engineer
Agilus Work Solutions
Toronto, ON
- $55 to $60 CAD / hour
- Contract
🏢 Work Model: Hybrid (2 Days Onsite Per Week)
Added 12 hours ago
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Senior AI Developer / Generative AI Engineer
ThoughtStorm
Toronto, ON
- Contract
Location: Toronto, ON (Hybrid – 3 days onsite per week)
Added 13 hours ago
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Multiple Automation Tester Role
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Brampton, ON
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2. Automation Developer (Python & Cross-Platform SDET)
Added 14 hours ago
TB
Senior DevOps Engineer (SRE / Platform Engineering)
TLNT Bridge Recruiting
Vancouver, BC
- Full-time
Work Arrangement: Onsite 5 days/ week (Vancouver)
Added 14 hours ago
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Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Proficient in Python for data science and GenAI application development
Added 14 hours ago
AS
Backend Python Developer - GenAI Focus
Axelon Services Corporation
Montreal, QC
- $86.21 CAD / hour
- Other
Design, develop, and implement scalable solutions using Python and React within a dynamic, agile team.
Added 14 hours ago
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Senior DevOps Engineer (SRE / Platform Engineering)
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- $113,900 to $147,000 CAD / year
- Full-time
Work Arrangement: Onsite 5 days/ week (Vancouver)
Added 14 hours ago
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Senior Machine Learning Engineer
TEEMA
Toronto, ON
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Added 15 hours ago
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Added 15 hours ago
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Device Platform Engineer - Vancouver, BC (Onsite) - FTE/perm
Harvey Nash
Vancouver, BC
- $120,000 to $140,000 CAD / year
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Platform Architecture: Write platform tools in Python and C++ to automate system deployment, provisioning, upgrades, and backups across distributed robots.
Added 15 hours ago
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GPU & AI Optimization Engineer
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Develop clean, maintainable, and testable C++ and Python code, including microbenchmarks and automated regression tests.
Added 17 hours ago
FI
Senior Data Science Developer
Flexstaf I.T. Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Advanced hands-on proficiency in Python, SQL and ML frameworks, with demonstrated experience building, tuning and validating models using real-world datasets. Tech stack: Python, SQL, Power…
Added 17 hours ago
AS
Full Stack Developer
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Montreal, QC
- $77.93 CAD / hour
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vTech Solution Canada

Senior Machine Learning Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 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, deploy, integrate, monitor, and operationalize machine-learning solutions, establishing reusable MLOps patterns and automation to move models reliably into production. Analyze data, design and test models, and track their performance to support business objectives and enterprise-scale deployment.

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 and statistics, production model troubleshooting, and experience with data preparation, validation, evaluation, tuning, drift, and retraining; public-sector experience is preferred but not required.

Skills

Python
Machine Learning
MLOps
Azure Machine Learning
Azure AI Foundry
CI/CD
Model Deployment
Model Monitoring
Containers
APIs
Automation
SQL
Databricks
Statistics
Feature Engineering
Model Evaluation

Visa sponsorship

Not detected in the job text

Keywords

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

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