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Added 14 mins ago
DevOps Engineer
Varonis
Canada
The Company: Varonis (Nasdaq: VRNS) is a leader in data security, fighting a different battle than conventional cybersecurity companies. Our cloud-native Data Security Platform continuously…
Added 43 mins ago
J
Manager of Projects (MOP)
Jacobs
Ottawa, ON
- $168,600 to $221,325 USD / year
- Full-time
Jacobs is expanding its Energy & Power (E&P) team to support the rapidly growing power and infrastructure needs of data centers and private developers. As Manager of Projects (MOP), you…
Added 1 hour ago
J
Manager of Projects (MOP)
Jacobs
Calgary, AB
- $168,600 to $221,325 USD / year
- Full-time
Jacobs is expanding its Energy & Power (E&P) team to support the rapidly growing power and infrastructure needs of data centers and private developers. As Manager of Projects (MOP), you…
Added 1 hour ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
At Bell, data science experts like you are shaping the future. You'll create, apply and work with algorithms that learn and analyze data, just like the human brain. By leveraging AI and…
Added 1 hour ago
TT
Sales Development Representative
trane technologies
Montreal, QC
- Full-time
…combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or…
Added 1 hour ago
L
Security Engineer
LiveKit
Canada
- Full-time
Our customers trust us with audio, video and data belonging to their own end users, so a security failure on our side puts their data and their business at risk. We are hiring Security…
Added 1 hour ago
B
Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
At Bell, data science experts like you are shaping the future. You'll create, apply and work with algorithms that learn and analyze data, just like the human brain. By leveraging AI and…
Added 2 hours ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC · Canada - Kamloops, BC
- Full-time
Shape the Future of Construction AI as an AI Software Developer Engineer in Test!
Added 2 hours ago
A
Information Technology - Lead Analytics Engineer, Distribution Technology
Aritzia
Delta, BC
- Full-time
…growing with it. This is a unique opportunity to transform raw data in a modern platform and create models that empower self-serve analysis, reporting, and data science. As the Lead…
Added 2 hours ago
A
Information Technology - Senior Analytics Engineer/Analytics Engineer, Marketing & Transformation Technology
Aritzia
Vancouver, BC
- Full-time
…growing with it. This is a unique opportunity to transform raw data in a modern platform and create models that empower self-serve analysis, reporting, and data science. As the Senior…
Added 2 hours ago
C
Senior Software Engineer, Elixir
Clarity
Remote, Canada
- $150,000 to $275,000 CAD / year
- Full-time
- Remote
As a Senior Engineer at Hiive, you will be a hands-on contributor to the backed system powering our platform, while building a user friendly interface. You will collaborate with technical…
Added 2 hours ago
C
Senior Software Engineer
Clarity
Remote, Canada
- Full-time
- Remote
As a Senior Full Stack Engineer, you will be a hands-on contributor to the frontend and backend apps powering our platform. You will learn Elixir on the job from your colleagues and…
Added 2 hours ago
SI
Staff Cloud Security Engineer
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
As a Staff Cloud Security Engineer, you'll help shape the technical direction of Cloud Security and drive complex architectural investments across our AWS and GCP environments. You'll work…
Added 2 hours ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
…equipped with top-tier tools to support initiatives such as data modeling, model training and fine-tuning, and agent development. We provide solutions and platforms that empower the future…
Added 2 hours ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Preprocess and analyze data to ensure model accuracy and performance.
Added 2 hours ago
J
Manager of Projects (MOP)
Jacobs
Toronto, ON
- $168,600 to $221,325 USD / year
- Full-time
Jacobs is expanding its Energy & Power (E&P) team to support the rapidly growing power and infrastructure needs of data centers and private developers. As Manager of Projects (MOP), you…
Added 2 hours ago
J
Manager of Projects (MOP)
Jacobs
Winnipeg, MB
- $168,600 to $221,325 USD / year
- Full-time
Jacobs is expanding its Energy & Power (E&P) team to support the rapidly growing power and infrastructure needs of data centers and private developers. As Manager of Projects (MOP), you…
Added 2 hours ago
SF
Senior Consultant, Digital Analytics - Simplii Financial
Simplii Financial
Toronto, ON
- Full-time
Simplii Financial is a modern, customer-first organization, and the data that flows through our digital properties is one of our most valuable assets. As Senior Consultant, Digital…
Added 2 hours ago
A
Information Technology - Senior Analytics Engineer/Analytics Engineer, Marketing & Transformation Technology
Aritzia
Vancouver, BC
- Full-time
…growing with it. This is a unique opportunity to transform raw data in a modern platform and create models that empower self-serve analysis, reporting, and data science. As the Senior…
Added 2 hours ago
VM
QA Engineer
Vivid Machines
Toronto, ON
- Full-time
As an Intermediate QA Engineer, you will own the end-to-end Software Testing Life Cycle across our whole product: web applications, mobile apps, backend services, and the camera hardware…
Added 3 hours ago
J
Manager of Projects (MOP)
Jacobs
AB · Edmonton, AB
- $168,600 to $221,325 USD / year
- Full-time
Jacobs is expanding its Energy & Power (E&P) team to support the rapidly growing power and infrastructure needs of data centers and private developers. As Manager of Projects (MOP), you…
Added 3 hours ago
NV
Databricks Architect (ID#5473)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
Databricks Certified Data Engineer Professional
Added 3 hours ago
RB
Lead Quality Engineer - Data
Royal Bank of Canada
Toronto, ON
- Full-time
The Lead Data Quality Engineer is responsible for creating and executing comprehensive data testing strategies and solutions, with focus on data validation, integrity testing, and quality…
Added 3 hours ago
AI
JAMS Platform Engineer
Apptoza Inc.
Toronto, ON
- Contract
Seeking a hands-on engineer to drive the reliability| automation and modernization of the enterprise JAMS workload automation platform. The role combines JAMS platform expertise with…
Added 3 hours ago
SI
Software Engineer in Test
Spruce InfoTech Inc.
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
QA Automation Lead Engineer (SDET – Python) role focused on building and maintaining scalable automation frameworks with strong Python and Pytest framework.

Akkodis

Senior AI Platform Engineer (MLOps)

Toronto, ON, Canada

Contract

Apply About employer

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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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