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Jobs in Canada

25+ jobs

Added 51 mins ago
NF
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BD
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CB
Cloud Ops Administrator (Canada) - N.A. Service Delivery Group
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Ottawa, ON
- $65,000 to $81,000 CAD / year
- Full-time
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- Full-time
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CC
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Added 51 mins ago
V
AI Onboarding & Implementation Specialist
Voxira
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- Full-time
3+ years in SaaS implementation, technical consulting, or a related client-facing technical role.
Added 51 mins ago
AR
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…managing Salesforce implementation projects, not a Salesforce technical specialist who has some experience in project…
Added 51 mins ago
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Added 51 mins ago
DC
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for the analysis, implementation, training and technical, and
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GT
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- $48 to $58 CAD / hour
- Contract
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Added 51 mins ago
FN
Senior Application Developer, IT
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Added 51 mins ago
MW
Associate Investment Advisor
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Added 54 mins ago
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Machine Learning Engineer

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

Apply About employer

Wawanesa Insurance

Machine Learning Engineer

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

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Applications open in a new tab.

Job details

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

Original job description

Job ID: 10350

Employment Type: New 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: $125,000 - $140,000. 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 Machine Learning Engineer 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.

Job Responsibilities

Strong ability to support and work with cross-functional teams in a dynamic business environment
Ability to respectfully challenge the status quo
Required to be highly creative and collaborative
Exceptional communication skills and ability to translate technical concepts into appropriate language for all stakeholders
Has good judgment, a sense of urgency
Commitment to high standards of ethics, regulatory compliance, customer service and business integrity
Performs other duties as assigned

Qualifications

More than five years of relevant research experience with publication record.
Master/PhD degree in machine learning, computer science, statistics, operations research, mathematics or a related quantitative field.
Strong understanding of statistical and machine learning models, with a focus on interpretability and fairness analysis.
Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner.
Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, and operations.
Knowledgeable about the Agile development cycle.
Experience in code reproducibility and version control.
Strong programming skills with Python and SQL.
Experience with current Cloud ML technologies.
Strong ability to support and work with cross-functional teams in a dynamic business environment
Required to be highly creative and collaborative
Exceptional communication skills and ability to translate technical concepts into appropriate language for all stakeholders.
Has good judgment, a sense of urgency.
Commitment to high standards of ethics, regulatory compliance, customer service and business integrity.

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 Machine Learning Engineer is responsible for solving business problems and discovering insights using advanced machine learning techniques and statistical analysis. They must effectively communicate these technical findings to both technical and business stakeholders.

Requirements

Candidates must have a Master's or PhD in a quantitative field and over five years of relevant research experience. Strong programming skills in Python and SQL, along with experience in Cloud ML technologies and Agile methodologies, are required.

Skills

Machine learning
Python
SQL
Statistics
Data visualization
Cloud ML technologies
Agile development
Code reproducibility
Version control
Interpretability analysis
Fairness analysis
Communication
Collaboration
Problem solving
Research

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
Python
SQL
Statistics
Data Visualization
Cloud ML
Agile
Version Control
Research
Insurance
Data Analysis
Interpretability
Fairness
Cross-functional teams
Quantitative analysis
Operations Research
Computer Science
Mathematics

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