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Added 6 mins ago
CE
Senior/Principal Electrical Engineer
Capital Engineering (Partnership)
AB · Edmonton, AB
- Full-time
Senior/Principal Electrical Engineer | Edmonton, AB
Added 10 mins ago
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Senior Transmission Line Engineer
Ulteig
Burlington, ON
- Full-time
Ulteig is currently seeking talented and motivated Senior Engineer level candidates to join our Transmission Line team. This position is responsible for the design of High Voltage…
Added 10 mins ago
Intermediate Structural Engineer
Hatch
Sudbury, ON
The Structural Engineer will be part of an engineering team providing engineering services to large and small mining projects, including underground mining areas. The Senior Structural…
Added 10 mins ago
Environmental Practice Leader
Langan Engineering & Environmental Services
Calgary, AB
…energy producers, energy companies, corporations, healthcare systems, colleges/universities, and large infrastructure programs throughout the U.S. and around the world. Our employees…
Added 10 mins ago
Senior Electrical Engineer
Cyclic Materials Inc.
Toronto, ON
We are seeking an experienced Senior Electrical Engineer to lead and support electrical engineering efforts for our recycling operations. Reporting to the SME Electrical Engineering, you…
Added 21 mins ago
A4
Senior QMS / Quality Engineer ( Medical Devices)
Avenue 45
Mississauga, ON
- $110,000 to $145,000 CAD / year
- Full-time
The Senior QMS Quality Engineer will lead quality system initiatives including CAPA, change control, document control, training, audits, supplier quality, management review, risk…
Added 21 mins ago
MC
Program Chief Engineer – Spacecraft Satellite Systems (35863)
Myticas Consulting
Canada
- Full-time
We are open to exceptional Deputy Chief Engineers, Principal/Staff Systems Engineers, Spacecraft Systems Architects, Technical Authorities and senior engineering leads who have worked…
Added 21 mins ago
G
Senior Engineer, Maintenance
Glencore
Elkford, BC
- $123,000 to $145,000 CAD / year
- Full-time
Reporting to the Senior Supervisor, Engineer the Senior Engineer, Maintenance is responsible
Added 21 mins ago
CM
Senior Electrical Engineer
Cyclic Materials
Toronto, ON
- Full-time
We are seeking an experienced Senior Electrical Engineer to lead and support electrical engineering efforts for our recycling operations. Reporting to the SME Electrical Engineering, you…
Added 23 mins ago
K
Engineer/Analyst - Radiation Assessment and Decommissioning
Kinectrics
Toronto, ON
- Full-time
Position: Analyst/Engineer – Radiation Assessment and Decommissioning
Added 23 mins ago
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Intermediate Geotechnical Engineer
AtkinsRéalis
Calgary, AB
- Full-time
…technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project…
Added 23 mins ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 23 mins ago
MC
Senior Data Engineer Azure Data Factory Developer (35968)
Myticas Consulting
Toronto, ON
- Contract
Our client is seeking two Senior Data professionals to support a data engineering and integration initiative: one Data Engineer specializing in Databricks and Apache Spark, and one Azure…
Added 23 mins ago
BC
Senior Manager, Data & AI
BDO Canada
Vancouver, BC
- Full-time
BDO Digital’s Vancouver office is looking for a Senior Manager to join our Data & AI Consulting Practice team and own the following responsibilities:
Added 23 mins ago
K
Senior AI Software Engineer, Agentic Systems & Data Fabric
Kinaxis
Ottawa, ON
- Full-time
…agentic AI safely reason about and act on enterprise data. As a Senior AI Software Engineer on the Data Fabric team, you will design and implement execution patterns, tool-calling…
Added 23 mins ago
TH
Frontend Software Engineer (senior)
Teumo Health Technologies Inc.
Vancouver, BC
- Full-time
Role Description The Senior Frontend Software Engineer will design, develop, and maintain user-facing features for Teumo Health’s digital health platforms, ensuring responsive, accessible,…
Added 23 mins ago
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Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
…AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy…
Added 23 mins ago
F
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
- Full-time
…delivering core customer-facing capabilities. We are seeking a Senior Staff Backend Engineer to join our application teams and help set technical direction across multiple domains within…
Added 24 mins ago
SF
Associate Director, Data Engineer
SickKids Foundation
Toronto, ON
- Full-time
We’re committed to attracting and retaining passionate individuals to help create a healthier future. That’s why SickKids Foundation is looking for a new Associate Director, Data Engineer.
Added 24 mins ago
Senior AI Engineer
Guidepoint
Toronto, ON
Guidepoint is investing in applied AI across its research platform. We're building conversational AI systems that interact with our global expert network at scale - combining real-time…
Added 36 mins ago
BR
Senior Software Engineer
BITS Recruiting
Toronto, ON
- Contract
Our client is seeking a Senior Software Developer – ETL to support the design, development, testing, maintenance, and enhancement of data warehousing, ETL, business intelligence, reporting,…
Added 36 mins ago
MC
FPGA Design & Validation Engineer – 4G 5G Radio (35952)
Myticas Consulting
Ottawa, ON
- Contract
FPGA Design & Validation Engineer – 4G/5G Radio Units
Added 36 mins ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Reporting to a senior technology leader and working closely with a Data Architect, you will design and maintain dashboards, reports, data models and analytical solutions using Microsoft…
Added 36 mins ago
AI
Senior AWS Data Engineer - 10+yrs
Apptoza Inc.
Toronto, ON
- Contract
We are seeking a Senior AWS Data Engineer with 10- 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be…
Added 36 mins ago
MC
Senior Embedded Software Firmware Engineer (35835)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Embedded Software/Firmware Engineer to develop and test next-generation firmware for advanced embedded optical systems. This is a one-year contract based in Ottawa,…

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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