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Added 9 mins ago
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ML Engineer - Reconstruction
Peripheral
Toronto, ON
- Full-time
We're seeking a Reconstruction Engineer to join Peripheral's Reconstruction team, helping push the state of the art in 3D reconstruction, neural rendering, and spatial models (monocular…
Added 9 mins ago
DC
Electrical Engineer
Dillon Consulting Limited
Winnipeg, MB
- Full-time
Dillon’s Electrical Discipline is seeking an Electrical Engineer – Lighting and Traffic Signals to fill an existing vacancy within our multidisciplinary team of professionals. You will have…
Added 9 mins ago
DC
Electrical Engineer
Dillon Consulting Limited
Toronto, ON · Hamilton, ON · London, ON · Windsor, ON
- Full-time
Dillon’s Electrical Discipline is seeking an Electrical Engineer – Lighting and Traffic Signals to fill an existing vacancy within our multidisciplinary team of professionals. You will have…
Added 9 mins ago
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Staff Software Engineer - Collections
Nubank
Remote, Canada
- Full-time
- Remote
As a Staff Software Engineer - Collections, you will work across teams with customer faced ownership on renegotiation products. You will help establish the basics of the UI infrastructure…
Added 9 mins ago
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Senior Product Engineer II - Backend
Docebo
Remote, Canada
- $123,400 to $164,500 CAD / year
- Full-time
- Remote
As a Senior Product Engineer II, you bring deep expertise in backend engineering alongside strong working competency across the broader stack. You own complex features and technical…
Added 9 mins ago
LC
Sr. Software Engineer (Salesforce), Specialty Health Technology
Loblaw Companies Limited
Brampton, ON
- Full-time
…pharmacies, healthcare professionals, programs, data and enterprise…
Added 9 mins ago
GS
Network Security Engineer
GlassHouse Systems
Toronto, ON
- Full-time
GlassHouse Systems (GHS) is an enterprise systems, and managed services solutions provider that develops, designs and deploys solutions for leading enterprises in Canada and the US. For…
Added 9 mins ago
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Staff Developer
AtkinsRéalis
Toronto, ON · Montreal, QC
- Full-time
Added 24 mins ago
Mechanical Engineer - ENG3
WF Group Inc.
Toronto, ON
Please send me the Mechanical Engineer Job description for editing before prepping an offer letter
Added 24 mins ago
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Software Engineer I - Development and Quality Engineering
TD
Toronto, ON
- Full-time
The Risk Technology team is seeking a junior Software Engineer with 2–3 years of relevant experience to contribute to both application development and quality engineering. The successful…
Added 26 mins ago
FI
Artificial Intelligence Engineer
Flexstaf I.T. Inc.
Canada
- Contract
Integrate AI applications with client systems, APIs, databases, document repositories, and business platforms.
Added 26 mins ago
MC
Senior Quality Assurance Analyst
Manpower Canada
Penetanguishene, ON
- $75,000 to $90,000 CAD / year
- Full-time
Develop, maintain, and improve quality systems, processes, and control plans.
Added 26 mins ago
QW
Observability Engineer
Quantum World Technologies Inc.
Montreal, QC
- Contract
We are looking for an experienced Observability Engineer to design, implement, and maintain enterprise observability solutions across cloud, application, infrastructure, and distributed…
Added 26 mins ago
AI
Oracle EDQ Platform Engineer
Aptino, Inc.
Brampton, ON
- Contract
We are looking for an experienced Oracle EDQ Platform Engineer to support the migration of Oracle Enterprise Data Quality (EDQ) from on-premises environments to Microsoft Azure Cloud.
Added 26 mins ago
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Software Engineer II
Emburse
Toronto, ON
- Full-time
…engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve interesting challenges, and design new solutions. Emburse,…
Added 26 mins ago
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Quality Specialist – LNG Trains & Inlet Gas Facilities Construction
Brunel
Kitimat, BC
- Contract
…supporting the successful implementation of quality management systems, contractor quality programs, and defect prevention initiatives throughout project execution. Working closely with…
Added 38 mins ago
LC
Site Reliability Engineering I
Loblaw Companies Limited
Brampton, ON
- Full-time
The Site Reliability Engineer I will run the production environment by monitoring availability and taking a holistic view of system health. You will build tools and systems to manage…
Added 42 mins ago
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Software Engineer II
Emburse
Toronto, ON
- Full-time
…engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve interesting challenges, and design new solutions. Emburse,…
Added 57 mins ago
EE
Electrical Design Engineer
Express Employment Professionals - Cambridge
Cambridge, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are looking for an Intermediate Electrical Design Engineer with 5-7 years experience. A significant part of that experience must be on Canadian building retrofit projects. The successful…
Added 57 mins ago
K
Senior Engineer (Mechanical/Piping Design)
Kinectrics
Kincardine, ON
- Internship
Position: Senior Engineer / Analyst (Mechanical / Piping)
Added 57 mins ago
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INFRASTRUCTURE Automation Test Engineer with Python : Toronto, ON (Hybrid) : FTE
AceStack
Toronto, ON
- Full-time
Job Role : INFRASTRUCTURE Automation Test Engineer with Python
Added 57 mins ago
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Capacity Engineer Senior Associate
Equinix
Toronto, ON
- Full-time
The Capacity Engineer Senior Associate resolves a variety of data management, design, and drawings for installations within a moderate scope.
Added 57 mins ago
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Electrical, instrumentation and Control Engineer
Brunel
Oakville, ON
- $61 to $88 CAD / hour
- Contract
Brunel is seeking an experienced Senior Electrical, Instrumentation & Controls Engineer to support the delivery of custom-designed water treatment projects.
Added 57 mins ago
ME
Senior Protection & Control Engineer
Morson Edge (Canada)
Burnaby, BC
- $95 to $120 CAD / hour
- Contract
The Engineer E5 is a senior engineering professional responsible for delivering innovative engineering, estimating, planning, and quality management services on medium to high complexity…
Added 57 mins ago
ZS
Monitoring Tool Automation Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Monitoring Tool Automation Engineer

Akkodis

Senior AI Platform Engineer (MLOps)

Toronto, ON, Canada

Contract

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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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