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Added 4 mins ago
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Principal Product Manager - Identity Threat Detection and Response
Elastic
Canada
- Full-time
…solving real-world customer problems. You are an advocate for the security analyst and detection engineer, and you are focused…
Added 19 mins ago
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Security Engineer II - Identity and Access Management
Marqeta
Remote, Canada
- Full-time
- Remote
We’re seeking an experienced Security Engineer II with a strong passion for Identity and Access Management (IAM) and expertise in cloud-native environments, particularly AWS. You'll build,…
Added 1 hour ago
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Quality Engineer II (VMS)
TD
Toronto, ON
- Full-time
Effectively engineer and leverage tools and Engineering practices (DevOps tools and processes, source code management, Service Virtualization, monitoring tools, etc.)
Added 1 hour ago
KG
DevOps Engineer
Kongsberg Geospatial Ltd
Ottawa, ON
- Full-time
Kongsberg Geospatial does challenging work that matters. We are an industry leading software company that has been delivering real-time geospatial technology solutions for Defence and…
Added 2 hours ago
GC
Technician, MiningNew
Glencore Canada
Elkford, BC
- $96,000 to $113,000 CAD / year
- Full-time
Reporting to the Senior Engineer Supervisor, Geotech the Mine technician will participate in a variety of tasks, such as: Drone photogrammetric surveys, field layout and interaction with…
Added 2 hours ago
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Senior Software Engineer
BBGC
Montreal, QC
- Full-time
Good understanding of Power Platform architecture, best practice, security model, integration, and ALM
Added 2 hours ago
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Senior Software Engineer
BBGC
Remote, Canada
- Remote
Good understanding of Power Platform architecture, best practice, security model, integration, and ALM
Added 2 hours ago
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Dynamics 365 CRM Solution Engineer
Microsoft
Toronto, ON · Ottawa, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
- Full-time
As a Dynamics 365 CRM Solution Engineer, you will lead AI transformation engagements with deep CRM domain expertise. Your role involves owning the technical win strategy and supporting AI…
Added 2 hours ago
Q
Camera Frontend Implementation Engineer
Qualcomm
Vancouver, BC
- Full-time
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential…
Added 2 hours ago
Q
ASICS Design Verification Engineer (Vancouver OR Markham)
Qualcomm
Markham, ON · Vancouver, BC
- Full-time
Master’s degree in Computer Science, Electrical Engineer, Computer Engineering, or a closely related field
Added 2 hours ago
Q
Design Verification Engineer - Memory Subsystem (Vancouver OR Markham)
Qualcomm
Markham, ON · Vancouver, BC
- Full-time
Qualcomm is seeking a motivated and experienced Design Verification Engineer to join its memory subsystem verification team. The successful candidate will be responsible for developing and…
Added 3 hours ago
HR
Technical Safety Specialist
Hitachi Rail
Toronto, ON
- Full-time
Good understanding of systems engineering, software engineering and functional safety
Added 3 hours ago
HR
Technical Safety Specialist
Hitachi Rail
Burnaby, BC
- Full-time
Good understanding of systems engineering, software engineering and functional safety
Added 3 hours ago
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Browser Security Engineer Intern, (Winter 2026)
GeoComply
Vancouver, BC
- Internship
…beat the signals we have today. You won't be doing general software engineering. You'll be doing original research: studying how modern bots evade detection at the browser level, and…
Added 3 hours ago
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Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
Added 4 hours ago
US
Electrical Engineer - Life Safety & Security
UL Solutions
Toronto, ON
- Full-time
A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL…
Added 4 hours ago
S
Android Software Engineer
Semperis
Toronto, ON
- Full-time
We're looking for an Android Software Engineer to join our team. As part of our growing team, you'll play a key role in protecting enterprises from cyber threats, while working with some of…
Added 4 hours ago
CC
Senior Embedded Linux / BSP Platform Engineer
Corinex Communications
Vancouver, BC
- Full-time
We are looking for a Senior Embedded Linux / BSP Platform Engineer to take technical ownership of embedded Linux platforms, from hardware bring-up, bootloader, BSP and Linux kernel through…
Added 5 hours ago
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Software Engineer – Master’s New Grad / Bachelor’s + 2–3 Years Experience
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Are you an enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up? Join Nutanix to help develop our DataHub platform - an enterprise data…
Added 5 hours ago
BC
Senior DevOps Engineer
BrainRidge Consulting
Toronto, ON
- Full-time
…grow, we are seeking a motivated and experienced Senior DevOps…
Added 5 hours ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
Pwc Canada
Toronto, ON · Calgary, AB · Ottawa, ON · Vancouver, BC
- Full-time
…with managers and other team members to design and implement security solutions (e.g. Cloud/App Security, AI to Defend) for our clients, helping secure their cloud environments and software…
Added 5 hours ago
HR
Software Analyst
Hitachi Rail
Toronto, ON
- Full-time
The Software Analyst contributes to the design, development, integration, and testing of low- to medium-complexity operationally critical and safety-critical software systems within the…
Added 5 hours ago
AW
Software Dev Engineer III, S3 ShardStore Application
Amazon Web Services (AWS)
Vancouver, BC
- Full-time
…types in 2026. Key technical challenges in the team are around Security, Durability, Availability, Performance, and…
Added 5 hours ago
AM
Principal ASIC Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
The IOHUB team at AMD is seeking a Principal ASIC Design Engineer to provide technical leadership for the development of next-generation IP that enables AMD products across server, data…
Added 5 hours ago
AM
AI Fleet Management Solutions
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD is looking for an AI solutions systems Engineer who is passionate about complex and innovative AI solutions, AI infrastructure, fleet management and automation solutions. You will be a…

Akkodis

Senior AI Platform Engineer (MLOps)

Toronto, ON, Canada

Contract

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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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