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Jobs in Canada

Added 25 days ago
Site Reliability Engineer - OpenShift
Capgemini
Toronto, ON
Capgemini is looking for a Production support Engineer to work for the Commercial Line of Business. An ideal candidate should be the one that has experience as outlined below :-
Added 25 days ago
Software Engineer
Capgemini
Mississauga, ON
…testing, and supporting software solutions while working closely with developers, QA engineers, security specialists, and architects. This role requires strong development experience in C,…
Added 25 days ago
Java Developer
Capgemini
Montreal, QC
We're seeking a Java Engineer to join our Market Risk Technology team. In this role, you will develop and enhance the Market Risk Platform.
Added 25 days ago
Data Engineer
Capgemini
Mississauga, ON
Consult with users clients and other technology groups on issues recommend advanced programming solutions and install and assist customer exposure systems
Added 25 days ago
GM
Embedded Simulation Developer - SIL and Virtualization
General Motors
Markham, ON
- Full-time
…of Virtualization and Software-in-the-Loop (SIL) Integration Engineer to support our Test Environment Agile Release Train (SIL…
Added 25 days ago
AM
Design Verification Lead
Advanced Micro Devices, Inc
Markham, ON
- Full-time
As a Design Verification Engineer Lead in the AECG Group, you will help bring to life cutting-edge FPGA and ASIC solutions for a broad range of customers. As a member of the front-end…
Added 25 days ago
Senior Machine Learning Engineer, Benefits Personalization
HelloFresh
Toronto, ON
Solid data engineering experience with the ability to design, implement, and deliver maintainable, high-quality code in Python and SQL
Added 25 days ago
DevOps Engineer
Capco
Toronto, ON
We're seeking a DevOps Engineer with strong Azure cloud and DevOps expertise to support the delivery of enterprise data and analytics platforms. In this role, you'll design and maintain…
Added 25 days ago
Machine Learning Engineer
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Moncton, NB · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Dartmouth, NS · Calgary, AB · ON · North York - Toronto, ON (Hybr, ON · Edmonton, AB (Hybrid), AB · Hybrid - Canada, ON
Strong programming skills with Python and SQL.
Added 25 days ago
CI
Senior Software Engineer Real Assets, Alternative Investments Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As a Senior Software Engineer, you will design, build, test and support technology solutions and products that enable business capabilities across CPP Investments. You will partner closely…
Added 25 days ago
VC
AI Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
We have a much bigger vision for what we can do across the childcare community with a strong plan focused on bringing more value to customers through new features, modules, and products. To…
Added 25 days ago
E
Software Engineer - Observability
eBay
Toronto, ON
- Full-time
As a Software Engineer on this team, you will design and build scalable distributed systems with Golang / Python that power metrics, logs, traces, and related observability workflows across…
Added 25 days ago
RB
Lead Senior Software Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
…landscape, delivering key business values for our clients. Assist with integrating, extending our trading services, working with other trading applications and partners, within RBC and…
Added 25 days ago
Q
Junior Software Quality Engineer
Quadient
Vancouver, BC
- Full-time
As a Software Quality Engineer on our Integration team, you'll own the quality of the integrations that connect our Accounts Payable platform with the different ERP and accounting systems…
Added 25 days ago
TT
Principal Engineer
Tundra Technical Solutions
Markham, ON
- $90 to $105 CAD / hour
- Contract
…continuing to operate complex legacy platforms. The Principal Engineer will help bridge those environments by designing and implementing modern solutions, providing technical direction and…
Added 25 days ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Toronto, ON
- Full-time
Job Title: Principal Software Engineer - Zynque
Added 25 days ago
RC
Senior AI Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Strong JVM engineering (Java; Kotlin or Scala a plus) with solid practices: Git workflows, code review, automated testing, structured logging, and clean design.
Added 25 days ago
Q
Junior Software Quality Engineer
Quadient
Vancouver, BC
- $65,000 to $75,000 CAD / year
- Full-time
As a Software Quality Engineer on our Integration team, you'll own the quality of the integrations that connect our Accounts Payable platform with the different ERP and accounting systems…
Added 25 days ago
E
Senior DevOps Engineer
emergiTEL
Toronto, ON · Etobicoke, ON
- Full-time
We are seeking a Senior DevOps Engineer with deep AWS expertise, strong multi-account architecture experience, and proven leadership capability. This role owns cloud infrastructure…
Added 25 days ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
We are currently building our talent pipeline for upcoming Forward Deployed AI Engineer opportunities in Canada. While we may not have an immediate opening today, we are actively connecting…
Added 26 days ago
P
Senior Software Engineer, Test
Providius
Hamilton, ON
- $100,000 to $130,000 CAD / year
- Full-time
Providius is looking for an experienced Senior Software Engineer, Test to help us build stronger, faster, and more reliable ways of validating complex software systems.
Added 26 days ago
IL
Senior Embedded Systems Electronics engineer
Innovobot Labs
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for a senior embedded and electrical engineer to join our dynamic team. Reporting to the Director of Systems Engineering, you will be responsible for designing, implementing…
Added 26 days ago
Machine Learning Engineer
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Wawanesa, MB · Moncton, NB · Thunder Bay, ON · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Lloydminster, AB · Dartmouth, NS · Calgary, AB · Lethbridge, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
Strong programming skills with Python and SQL.
Added 26 days ago
R
Lead Senior Software Engineer
RBC
Toronto, ON
- Full-time
…landscape, delivering key business values for our clients. Assist with integrating, extending our trading services, working with other trading applications and partners, within RBC and…
Added 26 days ago
SE
Senior AI Software Enginer
Stikeman Elliott LLP
Toronto, ON
- Full-time
Stikeman Elliott is building its own agentic AI platform, with production agents working alongside lawyers on the firm’s matters. Built on the Claude Agent SDK and integrated with the…

Machine Learning Engineer

Wawanesa Insurance · Toronto, ON, Canada · AB, Canada · Winnipeg, MB, Canada · Moncton, NB, Canada · Ottawa, ON, Canada · Kitchener, ON, Canada · Montreal, QC, Canada · Vancouver, BC, Canada · Dartmouth, NS, Canada · Calgary, AB, Canada · ON, Canada · North York - Toronto, ON (Hybr, ON, Canada · Edmonton, AB (Hybrid), AB, Canada · Hybrid - Canada, ON, Canada

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Wawanesa Insurance

Machine Learning Engineer

Toronto, ON, Canada
AB, Canada
Winnipeg, MB, Canada
Moncton, NB, Canada
Ottawa, ON, Canada
Kitchener, ON, Canada
Montreal, QC, Canada
Vancouver, BC, Canada
Dartmouth, NS, Canada
Calgary, AB, Canada
ON, Canada
North York - Toronto, ON (Hybr, ON, Canada
Edmonton, AB (Hybrid), AB, Canada
Hybrid - Canada, ON, Canada

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Job details

Working hours: 15 hours per week
Posting language: English
Posted: Oct 13, 2026

Original job description

Job ID: 10411

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; Wawanesa, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Lethbridge, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Quebec City, QC, Moncton, NB; Dartmouth; NS.

Working Business Language: English. This role is considered a head-office role and will be required to communicate with internal stakeholders across Canada where the primary business language utilized is 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 - $130,000. 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, fully owned by its more than 1.8 million members. Headquartered in Winnipeg, Wawanesa is the parent company of WSI™, a specialty insurer delivering tailored solutions built around unique needs; Wawanesa Life, a provider of life insurance products; and Western Financial Group, a leading national distributor of personal and commercial insurance.

Wawanesa is committed to helping communities thrive in a changing world. The company invests more than $4 million annually in charitable initiatives, including $2.5 million each year to support people and communities on the front lines of climate change. Learn more at wawanesa.com.

We are currently seeking dedicated, driven, and enthusiastic individuals who thrive in a dynamic environment, embrace change, and are eager to gain diverse experience while advancing their careers as part of a growing team.

Job Overview

The Advanced Analytics Exploration team consists of actuarial analysts and machine learning engineers who build and deploy predictive models that support decision-making across the enterprise, helping Wawanesa deliver smarter, faster, and more impactful solutions.

The Machine Learning Engineer role is responsible for solving business problems and discovering business insights using structured and unstructured data, statistics, visualization and advanced machine learning techniques, and communicating findings of analysis to technical and business audiences.

You’ll work closely with teams across the organization including pricing, reserving, claims, and underwriting to solve diverse business problems using advanced techniques such as machine learning and large language models.

Job Responsibilities

Understand and translate business and functional needs into scalable machine learning and AI modelling workflows.
Perform exploratory analysis techniques to generate insights for business units and senior leadership.
Collaborate with Machine Learning Operations and other Technology teams to implement embeddable workflows for use in production environments.
Conduct independent research with new tools, algorithms and techniques in machine learning/AI and work to implement them in the organization.
Ensures adherence to performance standards and compliance to data security and model governance requirements.
Performs other duties as assigned.

Qualifications

A bachelor's degree in software engineering, data science or computer science or a related quantitative field [or equivalent work experience] is required. An advanced degree in a related quantitative field is preferred.
Understanding of probability and statistical models.
Proficiency in machine learning algorithms and large language models.
Experience in code reproducibility and version control.
Strong programming skills with Python and SQL.
Previous experience with Databricks, AWS and Power BI is considered an asset.
Advanced oral and written communication skills to convey complex terminology and concepts into understandable terms for stakeholders.
Ability to navigate ambiguity.
Ability to collaborate effectively across multiple teams and stakeholders, including actuarial, analytical, and operations groups.
Previous experience with AWS and Power BI is considered an asset.

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.

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More about this job

Responsibilities

The role involves building and deploying predictive models to solve business problems using structured and unstructured data. You will collaborate with cross-functional teams to implement scalable machine learning workflows and communicate findings to both technical and business stakeholders.

Requirements

A bachelor's degree in software engineering, data science, computer science, or a related quantitative field is required, with an advanced degree preferred. Candidates must possess strong programming skills in Python and SQL, along with proficiency in machine learning algorithms and large language models.

Skills

Python
SQL
Machine learning
Large language models
Statistics
Data visualization
Predictive modeling
Databricks
AWS
Power BI
Code reproducibility
Version control
Communication
Analytical thinking
Problem solving

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 Engineer
Advanced Analytics
Predictive Models
Python
SQL
Databricks
AWS
Power BI
Large Language Models
Statistics
Data Security
Model Governance
Actuarial
Insurance
Artificial Intelligence
Exploratory Analysis
Version Control
Software Engineering
Data Science
Quantitative Analysis

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