Mississauga On Mlops engineer Jobs – 155 Openings This Week

Senior Cloud Engineer AI
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Full-time
- Azure
- Databases
- AWS
- Tuition reimbursement
- Life insurance
Senior Cloud Engineer AI
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Azure
- Databases
- AWS
- Tuition reimbursement
- Life insurance
Principal AI Engineer
Tangerine Bank —Toronto, ON
- System design
- Machine learning
- AI
6d
Senior Data Scientist - Toronto (m/f/d)
AutoTrader.ca —Toronto, ON
- $180,000–$210,000 a year
- Computer Science
- Engineering
- AWS
- Employee assistance program
Senior Data Scientist - Toronto (m/f/d)
autoTRADER.ca —Toronto, ON
- $180,000–$210,000 a year
- Computer Science
- Engineering
- AWS
- Employee assistance program
AI Engineer
Canada Guaranty —Toronto, ON
- $115,000–$135,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- No experience needed
- Dental care
3d
AI Research Engineer
Deloitte —Toronto, ON
- $72,000–$138,000 a year
- Hybrid work
- Azure
- DevOps
- AWS
Senior Software Engineer - Python
Fitch Group —Toronto, ON
- $130,000–$180,000 a year
- Hybrid work
- Oracle
- AWS
- No university degree
- Tuition reimbursement
Software Engineer (intern/co-op)
Viggle AI —Toronto, ON
- $5,000–$8,000 a month
- Full-time
- APIs
- Python
Machine Learning Engineer
Bree —Toronto, ON
- $180,000–$250,000 a year
- Full-time
- Hybrid work
- Azure
- Databases
- SQL
- Commuter benefits
- Dental care
Applied AI Engineer
Derivative Path —Toronto, ON
- $110,000–$150,000 a year
- Full-time
- Remote
- Azure
- AWS
- AI
- Dental care
- Paid time off
AI Engineer
BDO —Toronto, ON
- $77,000–$117,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Paid time off
Software Engineer, ML Ops
AeroVect —Toronto, ON
- $123,828–$154,785 a year
- Full-time
- Computer Science
- DevOps
- Engineering
Machine Learning Engineer
Sobeys —Toronto, ON
- $102,000–$140,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
- Store discount
- Dental care
Quick apply
14d
AI ML Engineer
Tata Consultancy Services —Mississauga, ON
- Azure
- Computer Science
- Data analysis skills
Senior Machine Learning Engineer
BDO —Toronto, ON
- $84,000–$128,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Paid time off
Machine Learning Engineer II
TD Bank —Toronto, ON
- $154,000–$199,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Paid time off
AI Engineer - Generative & Agentic AI
BDO —Toronto, ON
- $84,000–$128,000 a year
- Full-time
- Azure
- AWS
- APIs
- Paid time off
IT Architect, AI Technical Design
Saputo Inc. —Georgetown, ON
- $104,265–$136,850 a year
- Full-time
- Bilingual
- Computer Science
- English
- Paid time off
Specialist, AI Engineering
Definity Financial Corporation —Toronto, ON
- $92,000–$142,000 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- Master's degree
- Tuition reimbursement
- Paid time off

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mlops engineer jobs near mississauga on

Senior Cloud Engineer AI

BMO Financial Group -
Toronto, ON

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Job details

Full-time
$75,900–$141,900 a year

Qualifications

Authentication
Azure
Cloud architecture
Law
Enterprise architecture
Databases
AWS
Terraform
Agile
Financial services
AI
Model evaluation
Python

Full job description

Application Deadline:

08/30/2026

Address:

33 Dundas Street West

Job Family Group:

Technology

Senior Cloud Engineer – ML/AI Platform

We are seeking a Senior Cloud Engineer with deep expertise in AWS and Azure AI/ML services to drive our enterprise ML/AI platform capabilities. You will evaluate and enable cloud AI/ML services, build reusable architectural patterns, and develop automated MLOps solutions in a highly regulated banking environment. This role requires hands-on experience with modern AI/ML platforms and the ability to design secure, compliant solutions that accelerate AI adoption across the organization.

What You Will Do

Evaluate and enable AWS and Azure AI/ML services (SageMaker, Bedrock, Azure OpenAI, Azure AI Foundry) through proof-of-concepts and comprehensive assessments

Design and implement reusable architectural patterns for secure AI/ML integrations including private endpoints, customer-managed keys, and service-to-service authentication

Build end-to-end MLOps platforms and automated ML pipelines for model training, evaluation, deployment, and monitoring

Produce technical reports on security, networking, compliance, guardrails, and cost analysis for AI/ML service enablement

Develop frameworks, infrastructure-as-code, and automation to accelerate AI/ML adoption

Implement observability solutions with model monitoring, metrics, and drift detection

Partner with Enterprise Architecture and senior stakeholders to align platform capabilities with strategic roadmaps

Provide technical leadership and mentorship on AI/ML cloud best practices

What You Need to Succeed

Must Have

5-7 years of cloud engineering experience with 3+ years focused on AI/ML platforms

Deep hands-on expertise with AWS AI/ML services: SageMaker (training, pipelines, inference, JumpStart), Bedrock

Deep hands-on expertise with Azure AI/ML services: Azure Machine Learning, Azure OpenAI, Azure AI Foundry

Experience building MLOps platforms and automated ML pipelines

Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG (retrieval-augmented generation), and prompt engineering

Experience implementing guardrails and governance for LLM services

Proficiency in Python and infrastructure-as-code (Terraform, CloudFormation, ARM/Bicep)

Experience with MLflow(or similar tool), experiment tracking, and model registries

Expertise in cloud security patterns including private endpoints, customer-managed keys, and network isolation for AI/ML services

Strong understanding of cloud networking architecture in regulated environments

Experience working in highly regulated industries with compliance requirements

Agile delivery experience

Nice to Have

AWS or Azure AI/ML certifications

Experience with vector databases and embedding models

Knowledge of model optimization and inference acceleration

Background in financial services or banking

Salary :

$75,900.00 - $141,900.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en .

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Apply Now

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mlops engineer jobs in mississauga on

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