Find work in Canada.

320,974 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 12 mins ago
Director OHTN Cohort Study
Ontario HIV Treatment Network
Toronto, ON
Full-time
This position reports to the Senior Director, Programs and is responsible for the overseeing the OHTN Cohort Study, including its data platform, and its connection to other health/social…
Added 12 mins ago
Project Engineer – Nuclear Manufacturing
Aplin
Brantford, ON
Full-time
Aplin has partnered with an established Canadian manufacturer serving the nuclear and highly regulated industrial sectors to recruit an experienced Project Engineer.
Added 12 mins ago
Senior Manufacturing Engineer – Mechanical
Aplin
Niagara Falls, ON
Full-time
The Senior Manufacturing Engineer – Mechanical will bridge the gap between engineering design and shop-floor execution. You will be responsible for developing and releasing fabrication…
Added 13 mins ago
Senior Applied AI Engineer – GenAI & Actuarial Systems
Manulife
Toronto, ON
Full-time
Engineer features from large structured and unstructured datasets and ensure solutions remain stable as data and assumptions evolve.
Added 13 mins ago
IC Validation Engineer Intern - BS/MS - 2027 Co-Op
Marvell Technology
Ottawa, ON · CA-ON - Ottawa
Full-time
…monitor and test our chips. The candidate will be mentored by senior validation engineers, assisting with data collection, and presenting the results of their work. Join us and get the…
Added 28 mins ago
Senior Sales Engineer - Data Protection
N-able
ON
Full-time
We are seeking a highly skilled and customer‑focused Pre‑Sales Engineer to support our sales organization, partners, and prospective customers. In this role, you will deliver compelling…
Added 43 mins ago
Senior Research Scientist
Seequent
Calgary, AB
Full-time
Reporting to the Team Lead, Research Engineer, this role advances Seequent Labs research and prototyping in geological modelling and artificial intelligence. The Senior Research Scientist…
Added 43 mins ago
Job ID #31641: Project Manager, Development Engineering (RE-POST)
City Of Hamilton
Hamilton, ON
Full-time
Reporting to the Manager, Development Engineering and under the general guidance of the Senior Engineer, the Project Manager, Development Engineering is responsible for the review and…
Added 1 hour ago
Senior Automation Engineer
Actalent
Ottawa, ON
$50 to $70 CAD / hour
Contract
This Automation Engineer role focuses on building Python-based test automation and infrastructure for a next-generation embedded platform supporting future vehicle technologies. You will…
Added 1 hour ago
Senior PCB Layout Engineer
Actalent
Ottawa, ON
$85,000 to $125,000 CAD / year
Full-time
…technology used in demanding defense and naval applications. As a Senior PCB Layout Engineer, you'll play a critical role in the design and development of high-reliability electronics that…
Added 1 hour ago
Senior Data Engineer (Python / AWS / ML Pipelines)
Jobgether
Canada
Full-time
…all applications and next steps. Our partner is looking for a Senior Data Engineer (Python / AWS / ML Pipelines) based in…
Added 1 hour ago
Junior Process Engineer (2027 Grad)
GMP Engineering Inc.
Oakville, ON
$70,000 to $75,000 USD / year
Full-time
You will be part of a cross-functional engineering team in the role of Jr. Process Designer (/Engineer if you hold a P.Eng.). You will develop and deliver conceptual, preliminary, and…
Added 1 hour ago
Senior Security Engineer
Actalent
Ottawa, ON
$60 to $110 CAD / hour
Contract
Job Title: Expert Security Engineer Vulnerability Prime
Added 1 hour ago
Senior Security Engineer
Actalent
Ottawa, ON
$60 to $110 CAD / hour
Contract
Job Title: Expert Security Engineer Vulnerability Prime
Added 1 hour ago
Supply Chain and Planning Manager
Schneider Electric
AB · Edmonton, Alberta
Full-time
…facility serving Western Canada. Operating in a highly customized Engineer-to-Order (ETO) environment, you will play a critical role in driving operational performance, strengthening supply…
Added 1 hour ago
Sr. Physical Design Engineer, Place & Route Lead
Advanced Micro Devices, Inc
Markham, ON
Full-time
…leading-edge AI and high-performance computing products on advanced process technologies. As a Senior Physical Design Engineer, you will lead physical implementation activities for complex…
Added 1 hour ago
Senior Product Service Engineer
Caterpillar Inc.
AB · Woodbridge, ON · Clairmont, AB · Calgary, AB · Edmonton, Alberta
Full-time
The Large Power Systems Division (LPSD) of Caterpillar has an opening for a Senior Product Support Field Engineer. The position will provide complex technical product support focused on…
Added 1 hour ago
Senior Software Engineer - Conversational AI (Python)
Glia
Remote, Canada
Full-time · Remote
Added 4 hours ago
Senior Staff Hardware Validation Engineer
Synopsys Inc
Mississauga, ON
Full-time
Added 4 hours ago
Senior Engineer - Inventory
Southwestern Ontario Field Unit, Parks Canada
Ottawa, ON
Full-time
Selection process number: 25-MOT-EA-HRS-06088
Added 4 hours ago
Cloud Site Reliability Senior Engineer
Emplo Inc.
Ottawa, ON
Full-time
We are looking for a Cloud Site Reliability Senior Engineer to join a team delivering cloud SaaS products at scale. We need somebody who is passionate about the SRE method and a…
Added 4 hours ago
Cloud Platform - Senior Engineer
Emplo Inc.
Ottawa, ON
Full-time
Participate in all aspects of the software development process using agile development.
Added 5 hours ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't
Added 6 hours ago
Senior Full Stack Engineer
Workstream
Vancouver, BC
…workforce in their communities. We are seeking a talented Software Engineer (Full Stack) to join our growing engineering…
Added 8 hours ago
Senior Mechanical Building Systems Engineer / Technical Lead
I8IS - Infiniti Software Solutions
Montreal, QC
Full-time
Participate in the design and problem-solving process for various projects.

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