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Added 1 min ago
AM
Machinist
Alpek Machine works Inc
Calgary, AB
- $37.5 to $50 CAD / hour
- Full-time
- On-site
Read and interpret engineering drawings, blueprints, charts and tables
Added 1 min ago
AM
Machinist apprentice
Alpek Machine works Inc
Calgary, AB
- From $25 CAD / hour
- Full-time
- On-site
Read and interpret engineering drawings, blueprints, charts and tables
Added 12 mins ago
Lead, Technical Services
MongoDB
Toronto, ON
Strong communication and collaboration skills across Engineering, Product, Security, Legal, Billing, Support Operations, and global Technical Services
Added 12 mins ago
Q
Lead Engineer - Mechanical
Qualus
Vancouver, BC
- Full-time
…differentiated capabilities across grid modernization, resiliency, security, and sustainability. The firm partners with utilities, commercial, industrial, data center, and government…
Added 12 mins ago
Installation Manager
Alstom
Toronto, ON
…Day-to-day, you’ll work closely with teams across the business (e.g., engineering and subcontractors), manage site activities, and ensure compliance with safety and quality standards, and…
Added 12 mins ago
OCS Technician
Alstom
ON · Eglinton, ON
Read and interpret engineering drawings, schematics, plans, and maintenance procedures.
Added 27 mins ago
Bilingual Specialist, Software Engineering (D365 ERP)
CMHC - SCHL
Ottawa, ON · Toronto, ON · Montreal, QC
Join the Business Solutions Engineering team, in the Bilingual Specialist, Software Engineering position. You will be in charge of ERP (Microsoft Dynamics 365 Finance and Operations)…
Added 27 mins ago
Senior Specialist, Software Engineering (Middleware-AZURE)
CMHC - SCHL
Ottawa, ON · Toronto, ON · Montreal, QC
Join the Technology and Business Transformation team, in the Senior Specialist, Software Engineering (Middleware-AZURE) position, where the next generation of cloud-based solutions is being…
Added 27 mins ago
AG
Hoist and Underground Maintenance Supervisor
Alamos Gold Inc.
Dubreuilville, ON
- Full-time
Coordinate with electrical, operations, and engineering teams
Added 27 mins ago
AG
Telecommunications Specialist
Alamos Gold Inc.
Dubreuilville, ON
- Full-time
Collaborate with operational stakeholders, engineering teams, and contractors to design communications solutions that support mine development,
Added 27 mins ago
TH
LEAD SOFTWARE DEVELOPER
The Home Depot
Canada
- Full-time
Conduct comprehensive code reviews to enforce code quality, security, performance, and THD engineering standards.
Added 27 mins ago
Senior Software Dev Engineer, EC2 Hyperplane
Amazon
Vancouver, BC
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, and operations managers. Together we deliver strong safety, security,…
Added 27 mins ago
SS
Application Support Engineer – SWIFT & Mainframe, Assistant Vice President
State Street
Toronto, ON
- Full-time
Maintaining the security and integrity of SWIFT-connected applications, which operate within tightly controlled secure network zones and access models
Added 27 mins ago
LH
Guest Experience Manager -FT- Chelsea - Toronto
Langham Hotel
Canada
- Full-time
Work closely with Housekeeping, Engineering, Security, and Front Desk teams to maintain the highest standards of presentation and functionality.
Added 27 mins ago
A
Project Engineering Coordinator
AtkinsRéalis
Pickering, ON
- Full-time
…and coordination of schedules, manpower, customer relations, engineering, and procurement. Risk analysis, project forecasting, and liaising with EPC contractors and subcontractors are daily…
Added 27 mins ago
SS
Application Support Engineer – SWIFT & Mainframe, Assistant Vice President
State Street
Toronto, ON
- Full-time
Maintaining the security and integrity of SWIFT-connected applications, which operate within tightly controlled secure network zones and access models
Added 32 mins ago
SE
Bookkeepers and accounting clerks supervisor
Satt Engineering Ltd.
Edmonton, AB
- From $37.5 CAD / hour
- Full-time
- On-site
Added 41 mins ago
C
Electrical Engineer / System Integrator
Canal
North Vancouver, BC
- Full-time
…sheets, measurements and functional descriptions) to produce engineering designs, drawings, recommendations and instructions for project stakeholders. As a part of a discipline team,…
Added 41 mins ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Preferred certifications in Hadoop, Spark, Cloud Data Engineering, Enterprise Architecture, Data Management, Security, or Big Data Platforms.
Added 41 mins ago
K
Nuclear Construction Project Manager
Kiewit
Oakville, ON
- Full-time
Kiewit Nuclear Canada is a full-service engineering, project management, and construction provider operating across North America. Our experience and expertise span all aspects of the…
Added 41 mins ago
FC
Sr Vehicle Technician - PUD
FedEx Canada
Burnaby, BC
- Full-time
Added 41 mins ago
K
Nuclear Construction Project Manager
Kiewit
Clarington, ON
- Full-time
Kiewit Nuclear Canada is a full-service engineering, project management, and construction provider operating across North America. Our experience and expertise span all aspects of the…
Added 41 mins ago
PL
SCADA and Communications Specialist
PSG leadership Inc.
Ajax, ON
- Full-time
The SCADA & Communication Coordinator works independently and under the direction of the Manager, Technology and Security Operations. Provides full installation, operation, maintenance, and…
Added 41 mins ago
K
Nuclear Construction Project Manager
Kiewit
Oshawa, ON
- Full-time
Kiewit Nuclear Canada is a full-service engineering, project management, and construction provider operating across North America. Our experience and expertise span all aspects of the…
Added 41 mins ago
CM
Underground Soft Rock Mine Production Supervisor
Compass Minerals
Goderich, ON
- Full-time
Liaise with maintenance, engineering, EHS&S, logistics and other departments.

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.

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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

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