Find work in Canada.

324,036 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 27 mins ago
A
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC
- Full-time
We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal…
Added 2 hours ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Experience with MLOps and model deployment pipelines.
Added 4 hours ago
M
Technical Architect
Mphasis
Toronto, ON
- Contract
MLOps & DevOps: Vertex AI Pipelines, MLflow, CI/CD for AI Applications, Model Governance & Monitoring, Infrastructure as Code (Terraform)
Added 4 hours ago
ED
Customer Data Analyst - EN 055
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Contribute to the deployment and operationalization of analytical applications and models through appropriate development and MLOps practices.
Added 4 hours ago
HD
Databricks Engineer
Hire DigITalent Inc.
Toronto, ON · Greater Toronto Area, Canada
- $90 to $110 CAD / hour
- Contract
Enable and support MLOps workflows, including data pipelines, feature engineering, and integration with AWS SageMaker for model training, deployment, and monitoring.
Added 4 hours ago
ED
Customer Data Analyst - EN 055
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $65,172 to $86,898 CAD / year
- Full-time
Contribute to the deployment and operationalization of analytical applications and models through appropriate development and MLOps practices.
Added 6 hours ago
A
Senior Manager, Data Governance Implementation
Aviso
Toronto, ON
- $115,000 to $135,000 CAD / year
- Full-time
Added 6 hours ago
AW
Senior Manager, Data Governance Implementation
Aviso Wealth
Remote, Canada
- $115,000 to $135,000 CAD / year
- Full-time
- Remote
Added 8 hours ago
O
Senior Project Manager
OnX
Toronto, ON
- Full-time
Exposure to AI or GenAI project delivery - such as AI readiness/maturity assessments, AI strategy roadmaps, model deployment, MLOps, or AI governance frameworks - is strongly preferred.
Added 8 hours ago
AC
AI Developer – Actuarial Tools & Automation (PathWise)
Aon Corporation
Toronto, ON
- Full-time
As an AI Developer – Actuarial Tools & Automation (PathWise) within Aon Life Solutions, you will help design, develop, and deliver innovative Generative AI solutions that support actuarial…
Added 10 hours ago
M-
Développeur Logiciel Principal.e, Plan de Contrôle - Laboratoire d'IA Souveraine
Mila - Institut québécois d'intelligence artificielle
Montreal, QC
- Full-time
…mécanismes de déploiement et opérationnels, les ingénieur·e·s MLOps posséderont les composants d'exécution (runtime), et vous transformerez ces capacités en un produit…
Added 11 hours ago
ZS
Python Full-Stack Developer with Django & AI Experience
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Role: Python Full-Stack Developer with Django & AI Experience
Added 18 hours ago
BS
ML/AI Engineer
Brock Software
Engineer, BC
- Full-time
Added 19 hours ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
Familiarity with AI/ML solutions and modern MLOps or software delivery practices
Added 19 hours ago
NC
AI Software Developer
Newfoundland Capital Corporation Limited
Montreal, QC
- Full-time
We are currently looking for an AI Software Developer to join our AI team. This position reports to the AI Adoption Leader.
Added 21 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
…manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of…
Added 21 hours ago
A
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC
- Full-time
We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal…
Added 21 hours ago
A
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal…
Added 22 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
…manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of…
Added 22 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
…manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of…
Added 22 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
…manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of…
Added 22 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
…manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of…
Added 1 day ago
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Toronto, ON · Montreal, QC · ON · AMER - Canada - Ontario - Toronto - University Ave
We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal…
Added 1 day ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
Pwc Canada
Toronto, ON · Calgary, AB · Ottawa, ON · Vancouver, BC
- Full-time
Added 1 day ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time

Akkodis

Senior AI Platform Engineer (MLOps)

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 4, 2026
Experience: 5+ years of experience in MLOps, Machine Learning Engineering, AI Platform Engineering, Cloud Engineering, or related technical disciplines
Posting language: English
Posted: Oct 5, 2026

Original job description

Title: Senior AI Platform Engineer

Position Type: Contract

Duration: 12-Month Contract (Potential Extension)

Client Location: Toronto, Ontario

Work Model: Hybrid (Downtown Toronto - 3 days in office)

Engagement Model: Professional Services Engagement – B2B (Incorporated Consultants Preferred)

About the Engagement

Akkodis is partnering with a leading institutional investment and pension organization to engage an experienced Senior AI Platform Engineer (MLOps) to support the ongoing growth and operationalization of enterprise AI capabilities.

This is a highly technical, hands-on engineering role focused on building, deploying, governing, and operating machine learning and AI platforms at enterprise scale. The successful candidate will work closely with AI Governance, Cybersecurity, Enterprise Architecture, Platform Engineering, and AI Centre of Excellence teams to implement responsible AI controls, operationalize machine learning models, and establish scalable AI deployment standards.

While the role supports AI governance and responsible AI initiatives, the primary focus is technical implementation. The client is seeking a strong engineering professional with deep MLOps, machine learning operationalization, cloud engineering, and Python development experience who can translate governance requirements into automated controls, deployment processes, and platform capabilities.

This opportunity is ideal for someone who enjoys solving complex technical problems, building enterprise-grade AI capabilities, and working across infrastructure, machine learning, security, and platform engineering domains.

Services to be Provided:

Design, build, and maintain enterprise MLOps and LLMOps capabilities supporting AI and machine learning solutions
Develop and automate model deployment, monitoring, evaluation, governance, and lifecycle management processes
Build CI/CD pipelines and Infrastructure as Code solutions supporting AI and machine learning environments
Implement model governance, auditability, approval workflows, and operational controls within production AI platforms
Support implementation of responsible AI and AI governance requirements through technical controls and automation
Develop and maintain model tracking, lineage, experiment management, and reproducibility capabilities
Implement and enhance MLflow, Databricks, evaluation frameworks, and related platform services
Collaborate with Cybersecurity, Enterprise Architecture, and AI Governance teams to operationalize enterprise requirements
Build and support AI deployment patterns for machine learning, RAG, and generative AI solutions
Troubleshoot, debug, and resolve platform, deployment, performance, and operational issues
Create technical documentation, implementation standards, operational procedures, and support guides
Support platform reliability, observability, monitoring, incident management, and recovery processes
Implement cloud cost monitoring, optimization, and consumption management practices
Provide technical guidance and enablement to teams adopting enterprise AI capabilities
Communicate technical solutions and implementation outcomes to both technical and senior business stakeholders

Expertise Required

5+ years of experience in MLOps, Machine Learning Engineering, AI Platform Engineering, Cloud Engineering, or related technical disciplines
Strong hands-on Python development experience
Proven experience operationalizing machine learning models in enterprise production environments
Experience designing and supporting model lifecycle management, deployment, monitoring, and governance processes
Strong understanding of MLOps best practices, CI/CD, automation, testing, and software engineering principles
Experience with Databricks, MLflow, or comparable machine learning platform technologies
Experience working with cloud platforms such as Azure, AWS, or Google Cloud
Experience with Infrastructure as Code methodologies and tooling
Hands-on experience with Terraform and modern deployment automation practices
Experience with GitHub Actions, Jenkins, Azure DevOps, or similar CI/CD technologies
Experience troubleshooting complex distributed systems and production environments
Strong understanding of machine learning model operationalization, evaluation, and observability
Experience implementing secure deployment and access control patterns within cloud or AI environments
Excellent communication skills with the ability to engage both technical and non-technical stakeholders
Proven ability to operate independently and deliver within fast-paced and evolving environments

How to Apply

If you are interested in learning more, don't hesitate to apply today or check out Akkodis Canada website for more opportunities.

Important

This is a business-to-business engagement. Candidates must represent an incorporated entity, hold a valid business number, maintain appropriate insurance, and invoice for services rendered.

We thank all applicants for their interest in this opportunity. Only candidates meeting the above qualifications will be contacted for further discussions.

Accessibility:

At Akkodis, part of The Adecco Group, our purpose is simple: to make the future work for everyone. We live our values, Passion, Collaboration, Inclusion, Courage, and Customers at Heart, by fostering a workplace where diversity is celebrated and every voice matters. We encourage applications from individuals of all backgrounds and identities. Together, we’re making the future work for everyone.

Apply About employer

More about this job

Responsibilities

Design, build, and operate enterprise MLOps and LLMOps capabilities, including automated deployment, monitoring, evaluation, governance, and lifecycle management for machine learning and generative AI solutions. Implement secure, reliable, and cost-aware platform processes and controls, and collaborate with governance, cybersecurity, architecture, and engineering teams to establish standards and support adoption.

Requirements

Requires at least five years of relevant MLOps, machine learning engineering, AI platform, or cloud engineering experience, strong Python skills, and experience operationalizing models in enterprise production environments. Candidates should have hands-on experience with platforms such as Databricks or MLflow, cloud services, Terraform and Infrastructure as Code, CI/CD, model lifecycle processes, and production troubleshooting.

Skills

Python
MLOps
LLMOps
Machine Learning
Databricks
MLflow
Cloud Engineering
Terraform
Infrastructure As Code
CI/CD
Model Deployment
Model Monitoring
Model Governance
Generative AI
Retrieval-Augmented Generation
Observability

Visa sponsorship

Not detected in the job text

Keywords

MLOps
LLMOps
Python
Machine Learning
AI Platform Engineering
Databricks
MLflow
Azure
AWS
Google Cloud
Terraform
Infrastructure As Code
CI/CD
GitHub Actions
Jenkins
Azure DevOps
Model Deployment
Model Lifecycle Management
Model Monitoring
Model Evaluation
Model Governance
Experiment Management
Model Lineage
Responsible AI
Generative AI
Retrieval-Augmented Generation
Cloud Engineering
Observability
Access Control
Cost Optimization

Report this job