Jobs in Canada

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Added 9 days ago
A
Senior DevOps Engineer (Azure)
Agilno
Toronto, ON
- Full-time
We are looking for a seasoned, independent DevOps Engineer to lead the infrastructure migration of our core platform from AWS to Microsoft Azure. This is a fast-paced, up to 6-month…
Added 9 days ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Must have : SQL+ Datawarehouse+ Banking domain
Added 9 days ago
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Forward Deployed Full-Stack Engineer: Next.js + AWS AgentCore
DEDICATTED
Canada
- Full-time
We are looking for a Senior Full-Stack Engineer to join our team. You will work directly with our clients to design and build complex, production-grade Proofs of Concept for agentic AI…
Added 9 days ago
AI
AWS Big Data Platform Engineer (Netezza to AWS Migration)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
The Senior Platform Engineer develops, maintains, and manages Automation platform on premise, AWS cloud and vendor SaaS to enable automation across the bank and core operations enabling the…
Added 9 days ago
AI
RPA Platform Engineer with infrastructure exp
Apptoza Inc.
Toronto, ON
- Contract
Role - RPA Platform Engineer with infrastructure exp
Added 9 days ago
A
Senior Java Software Engineer
Artech
Mississauga, ON
- Contract
…already an experienced Full-Stack/Backend Architect (Java and/or Python) who thrives in ambiguous, fast-paced client environments, can rapidly translate complex business requirements into…
Added 9 days ago
A
Spécialiste principal(e) en IA appliquée/ Senior AI Engineer
AUDELA
Montreal, QC
- Full-time
Mode de travail : Hybride, au moins 3 jours par semaine au bureau
Added 9 days ago
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Technical Support Engineer
Luxoft
Toronto, ON
- Full-time
Added 9 days ago
QW
RPA UIpath Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Experience with PowerShell and/or Linux shell scripting; Python experience is beneficial.
Added 9 days ago
SL
Python Developer
Staffingine LLC
Toronto, ON
- Full-time
Backend Engineer – Python (API & Platform Engineering) X10
Added 9 days ago
MT
Staff Validation Engineer - Optical Interconnect
Marvell Technology
Ottawa, ON · CA-ON - Ottawa
- Full-time
Automate benches and data flows in Python (instrument control, data collection, statistical analysis and correlation).
Added 9 days ago
AI Integration Engineer – Market Data & Entitlements
Capco
Toronto, ON
At Capco, we're looking for an AI Integration Engineer who combines financial market data expertise with hands-on backend engineering and API integration experience.
Added 9 days ago
AI Engineer – Market Surveillance
Capco
Toronto, ON
At Capco, we're looking for an AI Engineer who combines a strong understanding of market surveillance and trading compliance with hands-on AI and software engineering experience.
Added 9 days ago
AI Engineer – Corporate Actions & Asset Servicing
Capco
Toronto, ON
At Capco, we're looking for an AI Engineer who combines a strong understanding of corporate actions and asset servicing with hands-on experience in AI, automation and document-processing…
Added 9 days ago
FL
Senior MLOps Engineer (AdTech)
Fluent, LLC
Remote, Canada
- $130,000 to $140,000 CAD / year
- Full-time
- Remote
We are seeking a Senior MLOps Engineer based in Canada to join our data and machine learning team. This role will co-own MLOps practices at Fluent Media and establish standards for model…
Added 9 days ago
FL
Senior MLOps Engineer (Real-Time Decisioning)
Fluent, LLC
Remote, Canada
- $130,000 to $140,000 CAD / year
- Full-time
- Remote
We are seeking a Senior MLOps Engineer based in Canada to join our data and machine learning team. This role will co-own MLOps practices at Fluent Media and establish standards for model…
Added 9 days ago
MH
Network Planning Engineer
Manitoba Hydro
Winnipeg, MB
- Full-time
We are seeking a planning engineer to join our Integrated Resource Planning Division. You will be responsible for identifying and initiating planning studies necessary to ensure reliable…
Added 9 days ago
RT
Machine Learning Engineer
Russell Tobin
Toronto, ON
- Contract
Job Title: Machine Learning Engineer - Senior
Added 9 days ago
BS
Azure Databricks Platform engineer
BULL-IT SOLUTIONS LTD
Toronto, ON
- Full-time
We are looking for an experienced Azure Databricks Platform Engineer to design, implement, administer, automate, and support enterprise-scale Azure Databricks environments.
Added 9 days ago
HB
Senior Software Development Engineer in Test
H&R Block Canada
Calgary, AB
- Full-time
Successful candidates must have legal authorization to work in Canada on a full-time basis for any employer
Added 9 days ago
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Platform Engineer RPA and Agentic Automation
BMO
Toronto, ON · BMOPLACE
- Full-time
The RPA Platform Engineer is responsible for the administration, support, monitoring, maintenance, and optimization of UiPath and WorkFusion platforms. The role ensures platform stability,…
Added 9 days ago
CE
Thermal Development Engineer
Cardinal Energy Ltd.
Calgary, AB
- Full-time
…continued growth, we are seeking a skilled Thermal Development Engineer to join our dynamic team. Periodic field trips will be an expectation for this…
Added 9 days ago
IG
Software Engineer
Insight Global
Mississauga, ON
- $55 to $72 CAD / hour
- Contract
Python experience - ability to read, modify, and work with existing Python code
Added 9 days ago
MT
DevOps and Security Engineer
Martello Technologies
Ottawa, ON · Kanata, ON
- Full-time
This is an Ottawa based hybrid role and you must reside in Ottawa at the time of hire
Added 9 days ago
Test Automation Engineer
Red River Mutual
Winnipeg, MB
Proficiency in programming languages such as Java, Python, or JavaScript.

Russell Tobin

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

Job Location: Toronto, ON

Job Type: 130 days contract

Client: Public Sector

Job Title: Machine Learning Engineer - Senior

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.

Location: Hybrid – 3 days a week onsite

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, build and evaluate models, run experiments, and ensure solutions meet business objectives and perform effectively at 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 have deep knowledge of machine-learning algorithms and statistics, including feature engineering, model evaluation, tuning, drift, retraining, and production troubleshooting.

Skills

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

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
Monitoring
Observability
Machine Learning
Deep Learning
Classification
Regression
Clustering
Feature Engineering
Model Evaluation
Hyperparameter Tuning
Model Drift
Model Retraining
Performance Optimization
Data Cleaning

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Jobs in Canada