Machine Learning Engineer

Toronto, ON
Hybrid
Posted Oct 14, 2026
1 position

$110,000–$130,000 / year

Opens an external site

Employment type: Full-time
Experience level: Mid-level · 2+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week
Office presence: 2 days per week

Job summary

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.

Job details

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 CompanyFounded 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. #LI-JB3Diversity Equity, Inclusion & BelongingAt 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.

What you’ll do

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.