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Added 2 hours ago
K
Senior Engineer, Software Design
Kinectrics
Toronto, ON
- Full-time
Diversity: The company is dedicated to promoting diversity in its workforce, up to and including the senior management level. Our diversity committee ensures we stay up to date on leading…
Added 6 hours ago
B
Senior Combat Systems Engineer/Specialist
BMT
Dartmouth, NS
- $105,000 to $150,000 CAD / year
- Full-time
Job Title: Senior Combat Systems Engineer/Specialist
Added 8 hours ago
DI
Senior IT Security Engineer
Draganfly Inc.
Burnaby, BC
- $120,000 to $140,000 CAD / year
- Full-time
The Senior IT Security Engineer builds, operates, and improves security across Draganfly’s cloud-first IT environment. This hands-on role combines Microsoft 365 and cloud security…
Added 11 hours ago
KG
Enterprise Security Architect - Senior Security Engineer
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Role : Enterprise Security Architect - Senior Security Engineer
Added 12 hours ago
E
Azure Cloud Engineer
ELITS
Remote, Canada
- Full-time
- Remote
ELITS Canada is looking for an experienced Azure Cloud Engineer for a remote consulting assignment based in Canada. Candidates must be authorized to work in Canada and able to perform the…
Added 12 hours ago
E
Azure Cloud Security Engineer
ELITS
Remote, Canada
- Full-time
- Remote
ELITS Canada is looking for an experienced Azure Cloud Security Engineer for a remote consulting assignment based in Canada. Candidates must be authorized to work in Canada and able to…
Added 18 hours ago
E
Protection & Control Senior Engineer
EllisDon
Calgary, AB
- Full-time
Hardline Engineering is currently looking for a Protection & Control Senior Engineer to join our dynamic team. Reporting to the Director, Engineering the P&C Senior Engineer will be…
Added 1 day ago
G
Browser Security Engineer Intern, (Winter 2026)
GeoComply
Vancouver, BC
- Internship
We’re GeoComply! We are at the forefront of geolocation, cybersecurity, and anti-fraud innovation, developing and delivering cutting-edge technologies to help ensure regulatory compliance,…
Added 1 day ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
Pwc Canada
Toronto, ON · Calgary, AB · Ottawa, ON · Vancouver, BC
- Full-time
You will be a key technical contributor in PwC’s Cybersecurity Consulting practice. You’ll work closely with managers and other team members to design and implement security solutions (e.g.…
Added 1 day ago
SE
Power System Junior Engineer
Schneider Electric
AB · Alberta, Canada
- $64,000 to $96,000 CAD / year
- Full-time
…solution-based engineering proposals under the supervision of a senior…
Added 1 day ago
SE
Power System Junior Engineer
Schneider Electric
Richmond, BC
- $64,000 to $96,000 CAD / year
- Full-time
…solution-based engineering proposals under the supervision of a senior…
Added 1 day ago
SE
Power System Junior Engineer
Schneider Electric
Winnipeg, MB
- $64,000 to $96,000 CAD / year
- Full-time
…solution-based engineering proposals under the supervision of a senior…
Added 1 day ago
SE
Power System Junior Engineer
Schneider Electric
Toronto, ON
- $64,000 to $96,000 CAD / year
- Full-time
…solution-based engineering proposals under the supervision of a senior…
Added 1 day ago
SE
Power System Junior Engineer
Schneider Electric
Montreal, QC
- $64,000 to $96,000 CAD / year
- Full-time
…solution-based engineering proposals under the supervision of a senior…
Added 1 day ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
As a Senior Associate – Cyber Security Forward Deployed you are a multi-faceted technologist. You lean heavily into using AI, are comfortable working in a client’s environment, writing…
Added 1 day ago
Senior Instrumentation & Controls Engineer - Industrial Sector
Kiewit
Calgary, AB
…growth across North America, and we’re expanding our team with Senior Instrumentation & Controls Engineers who want to lead, innovate, and build systems that actually get constructed. This…
Added 1 day ago
MC
Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 1 day ago
A
Senior AI Platform Engineer (MLOps)
Akkodis
Toronto, ON
- Contract
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…
Added 1 day ago
FM
Senior Software Engineer – Quality Assurance
Ford Motor Company
Ottawa, ON
- Full-time
The Senior Software Engineer – Quality Assurance is responsible for applying advanced quality methodologies and tools to proactively identify, analyze, and eliminate potential defects…
Added 1 day ago
Staff Information Security Engineer - Threat Detection & Response
Visier Solutions Inc
Vancouver, BC
This senior technical IC role owns Visier’s threat detection and response capabilities end-to-end - driving the overarching strategy, tooling engineering, detection content, and incident…
Added 1 day ago
T
AVP, Analytics, Insights and AI, AI Product
TD
Toronto, ON
- Full-time
…performance-manage direct reports; build succession; align senior business, technology and control partners; remove barriers and raise product…
Added 1 day ago
Senior Security Engineer
Vectra
ON
As a Security Engineer (Pre‑Sales) at Vectra.ai, you will blend deep technical expertise with strong customer‑facing skills to build trust, influence architectural direction, and drive…
Added 1 day ago
H
Senior Network Engineer
Hays
Toronto, ON
- Contract
We are seeking a skilled Senior Network Engineer to design, implement, and manage secure and scalable network infrastructure across on-premises and cloud environments. The ideal candidate…
Added 1 day ago
Application Security Engineer (senior - principal) Landmark
Halliburton
Calgary, AB
As an Application Security Engineer at Landmark, you will help identify and reduce security risk in the software products and digital platforms used by the energy industry. Working under…
Added 3 days ago
EI
Software Development Manager
EBlock Inc.
Canada
- $160,000 to $180,000 CAD / year
- Full-time
This role exists because the team is senior and self-directed enough not to need a full-time coordinator, and because we would rather its manager stay close to the work than drift away from…

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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