Jobs in Canada

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Added 1 day ago
Manager, Digital Practice
R.V. Anderson Associates Limited
Toronto, ON · Barrie, ON · Burlington, ON · St. Catharines, ON · London, ON · Ottawa, ON
Lead, develop, and set Digital Practice priorities.
Added 1 day ago
RC
Senior Software Developer - ETL
Randstad Canada
Toronto, ON
- Contract
We are seeking an experienced Senior Software Developer - ETL to lead the technical design, development, and sustainment of scalable, production-grade data pipelines, reusable data…
Added 1 day ago
RC
Senior Data Science Developer
Randstad Canada
Toronto, ON
- Contract
We are seeking an experienced Senior Data Science Developer to lead the technical design, development, and implementation of enterprise Artificial Intelligence (AI) solutions, Generative AI…
Added 1 day ago
RC
Senior Machine Learning Engineer
Randstad Canada
Toronto, ON
- Contract
…scalable production environments. Leveraging deep expertise in Python, machine learning algorithms, statistical modeling, containerization, and the Azure AI and Databricks ecosystems, you…
Added 1 day ago
RC
Senior Data Science Developer
Randstad Canada
Toronto, ON
- Contract
We are seeking an experienced Senior Data Science Developer to lead the development of advanced analytics, predictive models, and machine learning solutions that address critical enterprise…
Added 1 day ago
M
Senior Data Architect
Miratech
Etobicoke, ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 1 day ago
Manager, Actuarial Insurance Solutions (AIS) - Property & Casualty
Deloitte
Toronto, ON
…rapidly, and we are looking for experienced professionals to help lead high-impact engagements across reserving, capital, pricing, risk management, regulatory matters, and insurance…
Added 1 day ago
FC
Business Systems Analyst FCC
Fidelity Clearing Canada ULC
Toronto, ON
- Full-time
Strong ability to present ideas, lead technical walkthroughs, and produce clear status updates
Added 1 day ago
CO
CADD Team Lead
City of Calgary
Calgary, AB
- Full-time
The Computer Aided Design and Drafting (CADD) Team Lead is responsible for leading CADD initiatives to maintain and improve internal efficiencies and customer service provided to City-wide…
Added 1 day ago
Senior Security Analyst
municipalp
Pickering, ON
Experience with Python, PowerShell, Terraform or similar scripting and automation tools
Added 1 day ago
Manager – Engineering
Tucows Inc.
Canada
Lead, mentor, and develop a team of engineers through recruiting, hiring, regular one-on-ones, feedback, career development, and performance management.
Added 1 day ago
AN
Oracle AWS Cloud DBA – Migration & Amazon RDS Specialist
Astra North Infoteck Inc.
Toronto, ON
- Contract
Lead database release automation, code reviews, and schema migrations across development, staging, and production environments.
Added 1 day ago
Manager – Engineering
Tucows Domains
Canada
Lead, mentor, and develop a team of engineers through recruiting, hiring, regular one-on-ones, feedback, career development, and performance management.
Added 1 day ago
AI
Senior Source Control Engineer
AMD, Inc.
Markham, ON
- Full-time
…We are looking for a Senior Source Control Engineer to help lead the platform’s governance, security, and automation so that it can scale across the company without requiring the…
Added 1 day ago
Senior Cyber Defense Operations Analyst
Epic Games
Montréal, QC
…technology that support it. As a Senior CDO Analyst, you will lead investigations and incident response while helping reinvent how the SOC operates, turning repeatable analysis into…
Added 1 day ago
Specialist Software Development-CA
CN
Montréal, QC
More than 5 years of experience as a Developer
Added 1 day ago
A
Lead Data Analyst
Altis
Ottawa, ON
- $30 to $40 CAD / hour
- Contract
Lead a talented team while building relationships with industry professionals nationwide.
Added 1 day ago
TR
Principal Engineer
Thomson Reuters Holdings Inc.
Toronto, ON
- Full-time
- Hybrid
Lead the design and development of innovative features advancing AI-native product experiences.
Added 1 day ago
CI
Senior Data Scientist
Coalition, Inc.
Canada
- $123,600 to $205,900 CAD / year
Lead cross-functional analytics projects that uncover insights and optimization opportunities across the end-to-end customer journey
Added 1 day ago
Senior Database Administrator (Oracle Application DBA / Cloud)
Astra North Infoteck Inc.
Toronto, ON
Lead database release automation, code reviews, and schema migrations across development, staging, and production environments.
Added 1 day ago
SH
Post-Doctoral Fellow (SRI) - Physical Sciences - Temporary Full-Time 2026-19186
Sunnybrook Health Sciences Centre
Toronto, ON
- Full-time
- Temporary
We are seeking a Postdoctoral Fellow to lead and contribute to studies of neural and behavioural mechanisms of body-image disturbances. The fellow will work in a collaborative, clinically…
Added 1 day ago
Staff Systems Developer Manager, AlphaNet Core SRE
Google
Waterloo, ON
5 years of experience with programming in one or more programmng languages: Go, Python, C++.
Added 1 day ago
CS
Instructor, AI and Machine Learning with Python (Montreal)
Circuit Stream
Montréal, QC
- Contract
…and excited to help young people discover where theirs might lead, you’ll thrive…
Added 1 day ago
Fullstack Technical Lead – Commercial Lending & Asset Finance
Astra North Infoteck Inc.
Toronto, ON
Job Description: Fullstack Technical Lead – Commercial Lending & Asset Finance
Added 1 day ago
Senior Security Research Engineer
Elastic
Canada
…are looking for a Senior Security Research Engineer to help lead our efforts to build innovative features that secure our users against the latest emerging threats. You will collaborate…

Randstad Canada

Senior Machine Learning Engineer

Toronto, ON, Canada

Contract

Apply on randstad.ca About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Jan 2, 2027
Posting language: English
Posted: Nov 4, 2026

Original job description

We are seeking an experienced Senior Machine Learning Engineer to deploy, integrate, monitor, and operationalize enterprise AI and machine learning solutions using modern MLOps practices. In this role, you will establish reusable deployment patterns, automated pipelines, monitoring frameworks, and infrastructure to reliably transition models from experimentation into scalable production environments. Leveraging deep expertise in Python, machine learning algorithms, statistical modeling, containerization, and the Azure AI and Databricks ecosystems, you will design and implement robust ML systems, detect data drift, automate retraining, and ensure high model reliability and performance across the enterprise.

Location: Toronto, ON (Hybrid – 3 days a week onsite)

Duration: 6-month contract.

Advantages
Modern MLOps & AI Stack: Work directly with Azure AI Foundry, Azure ML, Databricks, and containerized deployment pipelines.

Production Engineering Impact: Drive the transition of models from exploratory experimentation to scalable, reliable production services.

Full-Lifecycle Ownership: Lead end-to-end delivery spanning data preprocessing, model training, automated deployment, and continuous monitoring.

Flexible Hybrid Model: Balance focused remote work with collaborative onsite teamwork in Toronto.

Responsibilities
Design, build, deploy, and operationalize production-grade machine learning and deep learning systems.

Establish and implement end-to-end MLOps frameworks, CI/CD automation pipelines, model registry standards, and containerized deployment workflows.

Build, train, evaluate, and fine-tune machine learning models using advanced statistical techniques, feature engineering, and hyperparameter optimization.

Analyze complex datasets to uncover relationships between inputs and outputs, verifying data quality and engineering robust preprocessing pipelines.

Implement model monitoring, observability, and logging systems to track model performance, latency, data drift, and concept drift in production.

Design and execute automated model retraining strategies and fallback mechanisms to resolve production anomalies and performance degradation.

Expose and consume machine learning models via secure, low-latency RESTful APIs and integrate them into enterprise business workflows.

Collaborate closely with data architects, data scientists, software developers, and business stakeholders to align ML capabilities with organizational objectives.

Explore and visualize data distributions to assess real-world generalization and define rigorous validation strategies.

Author comprehensive technical documentation, architecture blueprints, runbooks, and deployment guides to support long-term maintainability.

Qualifications
Advanced MLOps & Azure Ecosystem: Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry / Azure AI Foundry, MLOps practices, CI/CD pipelines, containerization, RESTful APIs, automation, model deployment, monitoring, and observability (Strictly Required).

Production ML Engineering & Python: Strong Python and machine learning engineering skills with demonstrated experience taking models from experimentation into reliable, scalable production environments (Strictly Required).

Technical Stack Proficiency: Hands-on experience working across the core technical ecosystem: Python, SQL, Power BI, Power Automate, VS Code, Git, Jira, Azure (ML Studio, AI Foundry), and Databricks (Strictly Required).

Algorithms, Statistics & Lifecycle Management: Deep understanding of ML algorithms and statistics, including classification, regression, clustering, feature engineering, model evaluation, hyperparameter tuning, data drift, retraining triggers, performance optimization, and production troubleshooting (Strictly Required).

Collaborative & Agile Delivery: Proven ability to manage competing priorities, meet tight deadlines, and work effectively with cross-functional technical squads and business teams (Strictly Required).

Nice-to-Have Assets:
Prior experience delivering machine learning or MLOps solutions within a public sector or large enterprise environment.

Relevant cloud or AI certifications (e.g., Azure Machine Learning Associate, Azure Data Scientist Associate).

Experience with automated testing of data and ML pipelines.

Summary
If you're interested in the "Senior Machine Learning Engineer" role based in Toronto, we encourage you to apply online at www.randstad.ca.

Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.

Apply on randstad.ca About employer

More about this job

Responsibilities

The Senior Machine Learning Engineer at Randstad Canada will move machine learning models from experiments into reliable production systems. The work covers building pipelines, monitoring model performance, and retraining models when their results degrade.

Requirements

Candidates need advanced hands-on experience with Azure Machine Learning, MLOps, CI/CD and containerized deployment, plus strong Python and production ML engineering skills. Deep knowledge of ML algorithms, statistics and data drift is also required.

Skills

Python
Azure Machine Learning
Azure AI Foundry
Azure ML Studio
Databricks
MLOps
CI/CD
Docker
RESTful APIs
SQL
Power BI
Power Automate
Git
Jira
VS Code
Model monitoring
Data drift detection
Concept drift detection
Feature engineering
Hyperparameter tuning
Classification
Regression
Clustering
Statistical modeling
Model registry

Keywords

Machine Learning Engineer
MLOps
Azure Machine Learning
Azure AI Foundry
Microsoft Foundry
Databricks
Python
SQL
Power BI
Power Automate
Git
Jira
VS Code
CI/CD
containerization
REST API
model monitoring
data drift
model deployment
deep learning

Seniority

Senior

Tools

Azure Machine Learning
Azure AI Foundry
Databricks
Power BI
Power Automate
VS Code
Git
Jira

Languages

English

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Work requirements

Jobs in Canada