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Added 2 hours ago
PS
Data Engineer
Prodigy Systems Inc.
Toronto, ON
- $90,000 to $100,000 CAD / year
- Contract
We are looking for a Data Engineer for a 1 year contract with the intention of converting to full time permanent. Role is hybrid with 2 days a week on site in Downtown Toronto.
Added 2 hours ago
VS
Machine Learning Engineer
vTech Solution Canada
Toronto, ON
- Contract
Job Title: Machine Learning Engineer - Senior
Added 2 hours 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 2 hours ago
A
Software Engineer (React & TypeScript)
Applicantz
Toronto, ON
- $50 to $55 CAD / hour
- Contract
…(PDMS) division. We are looking for an experienced Software Engineer to join one of our teams to help us fulfill the mission of the organization, supporting cross-platform device…
Added 3 hours ago
T
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 hours ago
TB
Forward Deployed AI Engineer
Type B Digital
Calgary, AB
- Full-time
…collaboration, and we are looking for a talented Forward Deployed AI Engineer to join us in our…
Added 3 hours ago
Java Developer (Onsite Hybrid)
NTT DATA Services
Montreal, QC
We are currently seeking a Java Developer (Onsite Hybrid) to join our team in Montreal, Quebec (CA-QC), Canada (CA).
Added 3 hours ago
J
Staff AI Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI Engineer based in Canada.
Added 3 hours ago
IG
Sr. Staff AI Experience Software Engineer
Insight Global
Canada
- Full-time
– 8+ years experience building software at an enterprise scale and expertise with system design at a staff engineer level – 2+ years of hands-on experience with AI tooling in a development…
Added 4 hours ago
MC
Release Engineer
Meridian Credit Union
St. Catharines, ON · Toronto, ON · Etobicoke, ON
- Full-time
The Release Engineer is the senior practitioner and standards-setter for Meridian’s Release Engineering function. The role owns build and code management in practice - branching strategy,…
Added 5 hours ago
BC
AI Engineer
BDO Canada
Toronto, ON
- Full-time
As an experienced AI Engineer, you will design, build, and deploy production‑grade AI solutions that bridge experimental machine learning with scalable software engineering. In this…
Added 5 hours ago
GT
Forward Deployed Engineer
Grove Talent
Canada
- Full-time
Added 7 hours ago
R
Deployed Engineer
Randox
Toronto, ON
- $80,000 to $130,000 CAD / year
- Full-time
Deployed Engineer – Toronto, Canada (Job Ref: 26I/DECN)
Added 7 hours ago
EI
Junior Thermal Mechanical Engineer
Ecolab Inc.
Calgary, AB
- Full-time
As a Junior Thermal Mechanical Engineer, you will support the design, development, and validation of liquid cooling products, including passive cold plates, coolant distribution manifolds,…
Added 7 hours ago
EM
Mechanical Design Engineer
Evertz Microsystems Limited
Burlington, ON
- Full-time
Added 8 hours ago
C
DevOps Engineer
Corpay
Vancouver, BC
- Full-time
Added 8 hours ago
P
Software Engineer- II
PheedLoop
Toronto, ON
- Full-time
Added 10 hours ago
W
Principal Structural Engineer
Worley
Calgary, AB · Edmonton, AB
- Full-time
As a Principal Structural Engineer, you will provide senior technical leadership and subject matter expertise for structural engineering activities across large, complex, and high-value…
Added 10 hours ago
CC
Student, Engineer Operational Technology
Cameco Corporation
Saskatoon, SK
- Full-time
Added 10 hours ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
This client is seeking an experienced Sr. Data Engineer / Data Product Lead to support the design and delivery of enterprise-scale data products within a complex life sciences environment.…
Added 10 hours ago
'
Forward Deployment Engineer Lead - Manufacturing
''
Toronto, ON
- Full-time
- Other
Position Title: Forward Deployment Engineer Lead - Manufacturing
Added 11 hours ago
J
Cloud - Bare Metal Infrastructure Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud – Bare Metal Infrastructure Engineer based in Canada.
Added 11 hours ago
J
Staff Machine Learning Engineer, Sensors & Intelligence
Jobgether
Canada
- Full-time
…steps. Our partner is looking for a Staff Machine Learning Engineer, Sensors & Intelligence based in…
Added 11 hours ago
C
SR Automation TOSCA DI Lead
Cognizant
Mississauga, ON
- Full-time
We are looking for an experienced Test Automation Engineer with strong hands-on expertise in Tricentis TOSCA Data Integrity (TOSCA DI) along with UI test automation using Playwright.
Added 12 hours ago
A
Supplier Quality Engineer
Actalent
Vancouver, BC
- $45 to $52 CAD / hour
- Contract
The Supplier Quality Engineer will be responsible for ensuring externally supplied components and assemblies meet engineering, quality, and manufacturing requirements. This individual will…

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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