Find work in Canada.

327,653 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 13 mins ago
Platform Team Lead
nesto
Canada
Full-time
Nesto Cloud is Canada's cloud-native and AI driven, end-to-end mortgage technology platform, helping financial institutions modernize lending through AI intelligent automation, AI & Cloud…
Added 13 mins ago
Staff Software Engineer, Core Applications
Solink
Remote, Canada
$138,445 to $173,056 USD / year
Full-time · Remote
Our cloud-based platform integrates seamlessly with your existing cameras and systems, turning them into intelligent sensors that detect and interpret key moments. This empowers teams to…
Added 13 mins ago
Principal Research Scientist
ServiceNow
Montreal, QC
Full-time
…500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting…
Added 28 mins ago
Senior Platform Developer
nesto
Canada
Full-time
Nesto Cloud is Canada's cloud-native and AI driven, end-to-end mortgage technology platform, helping financial institutions modernize lending through AI intelligent automation, AI & Cloud…
Added 28 mins ago
Software Development Engineer
Affinity
New Westminster, BC
Contract
On behalf of our client, Affinity is seeking a Full Stack Developer for a 6 month contract.
Added 28 mins ago
Site Reliability Engineer II (AI Platform)
OpenTable
Toronto, ON
…a subject matter expert for Kubernetes, Linux systems, and cloud-native automation, directly driving the reliability, security, and efficiency of our platform. In this role, you will…
Added 58 mins ago
Thanks for visiting our Job Board. Please review our open positions and apply to the positions that match your qualifications.
Evertz
Burlington, ON
Full-time
Evertz.io is redefining how media organizations manage and distribute content in the cloud. Our platform delivers scalable, flexible, and cost-efficient solutions for both file-based and…
Added 58 mins ago
Software Developer I
Walmart Canada
Mississauga, ON
Full-time
Position Summary...Software Developer I designs, develops, tests, and maintains software applications and data solutions. This role may also involve data profiling and creating reports to…
Added 58 mins ago
Kubernetes Reliability Engineer
Roche
Mississauga, ON · Canada Pharma Campus
Full-time
…responsible for solving complex business problems using advanced cloud native technologies. The engineer will build and maintain a Kubernetes-based infrastructure, enabling the…
Added 1 hour ago
Senior Software Engineer, AI Enablement
Xero
Vancouver, BC
Full-time
You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading
Added 1 hour ago
Staff Software Engineer, Data
Solink
Remote, Canada
$138,445 to $173,056 CAD / year
Full-time · Remote
Our cloud-based platform integrates seamlessly with your existing cameras and systems, turning them into intelligent sensors that detect and interpret key moments. This empowers teams to…
Added 1 hour ago
Enterprise Account Executive (AI Native and Emerging Tech)
Elastic
Toronto, ON
$103,200 to $163,300 CAD / year
Full-time
…LLM-powered applications, vector search architectures, and modern cloud platforms. Sitting at the intersection of developer-led adoption and executive sales execution, you will partner with…
Added 2 hours ago
Kubernetes Reliability Engineer
Roche
Mississauga, ON
Full-time
…responsible for solving complex business problems using advanced cloud native technologies. The engineer will build and maintain a Kubernetes-based infrastructure, enabling the…
Added 2 hours ago
Lead Analytics Solutions Developer
Enercare Inc.
Markham, ON
Full-time
The Lead Analytics Solutions Developer is the senior technical authority for how Enercare’s business data is modelled, defined and delivered for analysis. You will design the data…
Added 2 hours ago
Platform Engineering Manager
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Experience with Azure, Snowflake, Databricks, cloud-native monitoring, operational data platforms, automation frameworks or practical AI/AIOps use cases are a bonus.
Added 2 hours ago
Platform Engineering Manager
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Experience with Azure, Snowflake, Databricks, cloud-native monitoring, operational data platforms, automation frameworks or practical AI/AIOps use cases are a bonus.
Added 2 hours ago
Head of Platform Engineering, Reliability & Control
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Proficiency with observability and monitoring tools such as Datadog, Grafana, Prometheus, ELK/OpenSearch, or cloud-native platforms, with experience designing enterprise-wide telemetry and…
Added 2 hours ago
Head of Platform Engineering, Reliability & Control
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Proficiency with observability and monitoring tools such as Datadog, Grafana, Prometheus, ELK/OpenSearch, or cloud-native platforms, with experience designing enterprise-wide telemetry and…
Added 2 hours ago
Cloud Analyst
Sun Life
Toronto, ON · Montreal, QC · Sun Life Montreal Metcalfe
Full-time
Exposure to systems provisioning and configuration management using automation tools such as Terraform, Ansible, Jenkins, Kubernetes, Backstage or other cloud-native technologies.
Added 2 hours ago
Senior Software Engineer (Sanctions Service & AI Inference)
Mastercard
Vancouver, BC
Full-time
Experience with cloud-native architectures and modern software delivery practices.
Added 3 hours ago
Lead Azure Databricks Platform Engineer
TheCorporate
ON · Ontario, Canada
Full-time
We are seeking a seasoned Principal Cloud Engineer [Individual Contributor] who thrives in restricted Azure setups – where native features are locked down, so you’ll code workarounds like…
Added 3 hours ago
Senior Cloud Security Engineer (Golang & HashiCorp Vault)
J&M Group
Montreal, QC
Contract
The ideal candidate has strong experience in Golang development, secrets management, cloud-native development, and enterprise security architecture.
Added 3 hours ago
Technical Lead, Data Services and Interoperability
Digital Research Alliance of Canada | Alliance de recherche numérique du Canada
Canada
Contract
Added 3 hours ago
Cloud Platform Engineer
Apex Systems
Toronto, ON
$54 to $60 USD / hour
Contract
The Bank is seeking a Cloud Platform Engineer specializing in AWS Platform to support the Bank’s cloud strategy, which is focused on innovation and leveraging rapidly emerging cloud native…
Added 3 hours ago
GCP Cloud Engineer
TELUS Digital
Remote, Canada
$90,000 to $95,000 CAD / year
Full-time · Remote
We are seeking a highly skilled and motivated GCP Cloud Systems Engineer to lead the design, deployment, and operational excellence of our Google Cloud Platform (GCP) environment. A key…

Wawanesa Insurance

Machine Learning Operations Engineer/Senior

Toronto, ON, Canada
AB, Canada
Winnipeg, MB, Canada
Ottawa, ON, Canada
Kitchener, ON, Canada
Calgary, AB, Canada
Edmonton, AB (Hybrid), AB, Canada
North York - Toronto, ON (Hybr, ON, Canada

Experience: More than 5 years of experience in developing and deploying enterprise-scale machine learning solutions.
Working hours: 15 hours per week
Posting language: English
Posted: Sep 29, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job ID: 10373

Employment Type: Existing Role

Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations: Winnipeg, MB; Calgary, AB; Edmonton, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON.

Working Business Language: English

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan.

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $110,000 - $160,000. Candidates with salary expectations outside of the range are still encouraged to apply.

About The Wawanesa Mutual Insurance Company
Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada’s largest mutual insurers, 100% owned by its members, with more than $4.1 billion in annual revenue and $12.5 billion in assets. Headquartered in Winnipeg, Wawanesa is the parent company of Wawanesa Life, which provides life insurance solutions throughout Canada, and Western Financial Group, a leading national distributor of personal and business insurance. In March of 2026, Wawanesa entered into an agreement to acquire Everest Insurance Company of Canada to strengthen its commercial insurance capabilities and advance its long-term growth strategy.

Wawanesa proudly serves more than 1.8 million members and we are home to more than 3,000 employees across Canada. The company actively gives back to organizations that strengthen communities, donating more than $4 million annually to charitable organizations, including more than $2 million each year in support of people on the front lines of climate change. Learn more at wawanesa.com.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

The Machine Learning Operations Engineer/Senior is responsible for the design, development, deployment, monitoring, and operationalization of machine learning and AI solutions. The engineer works closely with Business Stakeholders, Data Analysts, Data Scientists, and ML Engineers within Analytics Exploration to transform business opportunities into scalable, production-grade AI and machine learning solutions. The role collaborates with Software Engineers, Data Engineers, Platform Engineers, and Enterprise Architecture teams to ensure robust infrastructure, governed data pipelines, and secure MLOps practices that enable reliable deployment and management of AI and machine learning models across the enterprise.

Job Responsibilities

Partner with Business Stakeholders and Analytics Exploration teams to identify, prioritize, and operationalize AI and machine learning use cases that deliver measurable business value.
Design, implement, and maintain enterprise MLOps frameworks supporting model training, deployment, monitoring, governance, and lifecycle management.
Develop and support machine learning solutions using Databricks, MLflow, Unity Catalog, Feature Store, and other cloud-native AI platforms.
Implement model monitoring capabilities including data drift, model drift, performance monitoring, explainability, and alerting.
Establish CI/CD and automated deployment pipelines for machine learning and generative AI solutions.
Ensure adherence to Model Risk Management (MRM), Responsible AI, data governance, security, and regulatory compliance requirements.
Collaborate with Platform Engineering and Architecture teams to define standards, patterns, and best practices for AI/ML solution deployment.
Support the evaluation and adoption of emerging AI technologies, including Generative AI, LLMOps, Agentic AI, and advanced analytics capabilities.

Qualifications

More than 5 years of experience in developing and deploying enterprise-scale machine learning solutions.
Hands-on experience with Databricks Lakehouse Platform, including Databricks Workflows, MLflow, Unity Catalog, Model Serving, Feature Store, and Mosaic AI capabilities.
Experience implementing end-to-end MLOps solutions on Databricks, AWS SageMaker, or comparable enterprise machine learning platforms.
Knowledge of model governance, model lifecycle management, Responsible AI practices, and Model Risk Management (MRM) frameworks.
Experience building and managing CI/CD pipelines for machine learning workloads using tools such as GitHub Actions, Azure DevOps, Jenkins, or equivalent.
Experience monitoring machine learning models for data drift, concept drift, model performance degradation, and operational reliability.
Familiarity with Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, and LLMOps practices.
Experience working with cloud-based data and analytics platforms, including AWS services such as S3, Glue, Lambda, SageMaker, EKS, and related technologies.
Strong understanding of data governance, security, access controls, metadata management, and auditability within enterprise AI platforms.
Experience collaborating directly with Business Stakeholders to translate business objectives into AI and machine learning solutions.
Experience working within cross-functional teams including Data Science, Analytics Exploration, Data Engineering, Software Engineering, Platform Operations, and Architecture.
Experience implementing enterprise AI platforms using Databricks on AWS.
Experience supporting insurance, financial services, or other highly regulated industries.
Experience with GenAI, Agentic AI, RAG architectures, vector databases, and AI governance frameworks.
Experience establishing enterprise MLOps standards, monitoring frameworks, and operational support models.
Advanced degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field

Diversity Equity, Inclusion & Belonging

At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people – this is supported by having a representative workforce.

We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas.

We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com.

All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.

Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.

Apply About employer

More about this job

Responsibilities

The engineer is responsible for designing, deploying, and monitoring scalable machine learning and AI solutions while collaborating with cross-functional teams. They will establish MLOps frameworks, manage model lifecycles, and ensure adherence to data governance and security standards.

Requirements

Candidates must have over 5 years of experience in enterprise-scale machine learning and hands-on expertise with the Databricks Lakehouse platform. Proficiency in MLOps, model governance, CI/CD pipelines, and cloud-based data platforms is required.

Skills

Machine Learning Operations
Databricks
MLflow
Unity Catalog
Feature Store
CI/CD
Model Governance
Generative AI
LLMOps
AWS
Data Drift Monitoring
Model Risk Management
Python
Cloud-native AI platforms
Data Governance
Agentic AI

Benefits

Annual bonus plan
Leave of absence top-up programs
Generous vacation time
Personal days
Premium free benefits
Pension plan

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
MLOps
Databricks
MLflow
Unity Catalog
Feature Store
AWS
Generative AI
LLMOps
RAG
Model Risk Management
CI/CD
Data Governance
Cloud Computing
Agentic AI
Data Science
Artificial Intelligence
Mosaic AI
GitHub Actions
Azure DevOps
Jenkins
S3
Glue
Lambda
EKS
Metadata Management
Insurance
Financial Services
Vector Databases
Responsible AI

Report this job