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Added 2 mins ago
X
Cybersecurity Engineer
Xanadu
Toronto, ON
- Full-time
Collaborate with the IT team to research and evaluate new applications or solutions to enhance Xanadu’s cybersecurity posture
Added 2 mins ago
S
Sector Design Manager – ALTO project / Cadence
SYSTRA
Montreal, QC
- Full-time
Added 3 mins ago
Software Engineer
Apple
Vancouver, BC
…services in Java/Spring and delivering rich, interactive web applications in modern JavaScript/TypeScript frameworks (such as Angular or React). You excel at defining robust data…
Added 32 mins ago
WI
Lead Instrumentation & Control Engineer, Resources
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Markham, ON
- Full-time
…Greater Toronto Area, Saskatoon SK, St John's NL as a Lead I&C Engineer, you will support as a senior subject matter expert in the instrumentation and controls engineering for both new…
Added 32 mins ago
D
Devsecops Engineer
Deel
Canada
- Full-time
We are currently seeking a DevSecOps Engineer to join our team. If you have a passion for automation, security, and infrastructure, we invite you to apply for this exciting opportunity. As…
Added 32 mins ago
A
Senior Project Engineer
ABB
Calgary, AB
- Full-time
ABB is seeking a Senior Lead Project Engineer to join our team. In this role, you will provide technical leadership and oversee the successful execution of multidisciplinary electrical…
Added 32 mins ago
L
Electrical Engineer
LAPORTE
AB · Edmonton, AB
- Full-time
Electrical Engineer – Calgary, Edmonton or Lethbridge
Added 32 mins ago
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Reliability Engineer
Adecco
Fort McMurray, AB
- $80 to $95 CAD / hour
- Full-time
Adecco is currently hiring a full-time experienced Reliability Engineer - Fixed Equipment & Asset Integrity to join our client's team in Fort McMurray, Alberta. This is an exciting…
Added 32 mins ago
L
Electrical Engineer
LAPORTE
Lethbridge, AB
- Full-time
Electrical Engineer – Calgary, Edmonton or Lethbridge
Added 32 mins ago
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Electrical Engineer IV
Select Source International
Markham, ON
- $70 to $80 USD / hour
- Contract
…Control Engineering manager , the Lead Protection and Control Engineer will be part of the regional Projects and Services execution team. Activities will include designing, programming,…
Added 32 mins ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
…dynamic, client-facing environment. You operate as the senior engineer on a delivery pod, mentor Associates, own technical workstreams end-to-end, and translate client ambiguity into…
Added 1 hour ago
AI
Project Manager - Civil Engineering
American Iron & Metal (AIM)
Montreal, QC
- Full-time
Coordinate and follow up on construction permit applications and other required regulatory approvals.
Added 1 hour ago
IG
Platform Engineer
Insight Global
Vancouver, BC
- $60 to $70 CAD / hour
- Contract
This role is ideal for a backend-focused engineer who enjoys working with complex distributed systems, event-driven architectures, and modern cloud technologies. Rather than building…
Added 1 hour ago
ET
Senior LLM Research Engineer
Encore Technical Solutions Inc.
Toronto, ON
- Full-time
We're looking for a Senior LLM Research Engineer to help build and optimize advanced language models for complex, real-world applications. This role spans the full lifecycle of model…
Added 1 hour ago
Canada Tax Technology Group (CTTG) - Manager, AI Adoption & Enablement
EY
Toronto, ON
Stay current on AI capabilities and emerging trends, translating new developments into practical applications for the business.
Added 1 hour ago
S
Android Software Engineer
Semperis
Remote, Canada
- Full-time
- Remote
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 1 hour ago
D
Principal Product Manager, Sandboxes
Docker
Remote, Canada
- Full-time
- Remote
…companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker…
Added 1 hour ago
A
Senior Electrical Engineer, Data Centers
AECOM
Markham, ON
- $125,000 to $175,000 CAD / year
- Full-time
AECOM is seeking a Senior Electrical Engineer to join our growing Canadian Data Center team.
Added 1 hour ago
A
Senior Mechanical Engineer, Data Centers
AECOM
Markham, ON
- $125,000 to $175,000 CAD / year
- Full-time
AECOM is seeking a Senior Mechanical Engineer, to join our growing Canadian Data Center team.
Added 1 hour ago
CI
Intern Analyst, PhD – Systematic Strategies Group
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
…tools using macroeconomic, market and alternative datasets, engineer robust data workflows, and help translate academic research into enhancements to investment…
Added 1 hour ago
P
Sr. Fuil Stack Engineer, Threat Intelligence
Proofpoint
ON · Ontario, Canada
- Full-time
Build and maintain full-stack applications and backend services using Python, TypeScript, React, and Go.
Added 1 hour ago
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Sr. Fuil Stack Engineer, Threat Intelligence
Proofpoint
Quebec, QC
- Full-time
Build and maintain full-stack applications and backend services using Python, TypeScript, React, and Go.
Added 1 hour ago
S
Senior Full-Stack Engineer, NimbleRx
Swoop
Toronto, ON
- Full-time
As a Senior Full-Stack Engineer, you will have a hand in architecting the technology and customer experience that are pivotal to multiple web products for patients, pharmacies, and other…
Added 1 hour ago
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Mine Engineer/Geologist
Nutrien
Sussex, NB
- Full-time
Registered as a Professional Engineer with APEGNB, or eligible for immediate registration.
Added 1 hour ago
RT
Engineer Enterprise Asset Management
Rio Tinto
Kitimat, BC
- Full-time
We are looking for an Engineer to support the design, governance and continuous improvement of asset master data across our maintenance systems. In this role, you will apply engineering…

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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