Engineer Computer (Except Software)

Wawanesa; Toronto; Hybrid; CAD 110,000 - 140,000; Full time

Job summary

A leading mutual insurance company in Toronto is seeking a Machine Learning Operations Engineer to develop, deploy, and monitor machine learning models. The role requires collaboration with data teams and a strong understanding of algorithms. The position offers a hybrid work environment and competitive compensation ranging from $110,000 to $140,000. Candidates are encouraged to apply even if their expectations fall outside this range, ensuring opportunities for varied experience and professional growth.

Benefits

Annual bonus plan

Generous vacation time

Premium-free benefits

Pension plan

Qualifications

• Strong experience in machine learning, development, and deployment of models.
• Familiarity with CI/CD pipeline integration and infrastructure setup.
• Understanding of algorithms and model validation metrics.

Responsibilities

• Develop and deploy machine learning models.
• Collaborate with Data Analysts and Engineers.
• Improve algorithms and performance metrics.

Skills

Machine Learning

Python

CI/CD

Data Analysis

Job description

Overview

Title posted on CareerBeacon - Machine Learning Operations Engineer

Posted on January 10, 2026 by Employer details Wawanesa

To add a job posting to your favourites, you need a Job Bank account. Sign in or sign up now!

Job details

Employment Type: Existing Role
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 - $140,000. Candidates with salary expectations outside of the range are still encouraged to apply.

About Us At Wawanesa, 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; Toronto (North York), ON.

The Wawanesa Mutual Insurance Company ("Wawanesa Mutual"), founded in 1896, is one of Canada's largest mutual insurers, with over $3.5 billion in annual revenue and assets of $10 billion (CAD). Wawanesa Mutual, with its National Headquarters in Winnipeg, is the parent company of Wawanesa Life, which provides life insurance products and services throughout Canada, and Western Financial Group, which distributes personal and business insurance across Canada. Wawanesa proudly serves more than 1.7 million members in Canada, and we are home to more than 3,300 employees distributed across the Canadian regions and communities where we operate. We give back to organizations that strengthen communities, donating more than $3.5 million annually to charitable organizations, including over $2 million annually in support of people on the front lines of climate change. We are also proud to be recognized as one of Manitoba's Top Employers.

To learn more visit 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.

Responsibilities

• The Machine Learning Operations Engineer is responsible for development, deployment, and monitoring of machine learning models.
• The engineer works closely with Data Analysts, ML Engineers in Analytics Exploration and collaborates with Software and Data Engineers to ensure infrastructure and data pipelines are structured to deploy machine learning solutions.
• Understands and translates business and functional needs into machine learning problem statements.
• Translates complex machine learning problem statements into specific deliverables and requirements.
• Assesses and improves algorithms, feature sets, and validation metrics received from Data Analysts and ML Engineers in Analytics Exploration team to ensure their efficacy for specific problems; modifies and retrains models as needed for deployment.
• Converts exploration team's code into robust, production level solutions, including CI/CD pipeline integration and infrastructure setup for training and monitoring to meet enterprise requirements.
• Oversees the ongoing enhancement and maintenance of our model-agnostic MLOps infrastructure and Python package, ensuring high standards of performance and reliability.
• Collaborates with development teams to test and deploy machine learning models.
• Creates metrics to continuously evaluate the performance of machine learning solutions.
• Ensures adherence to performance standards and compliance to data security and model governance requirements.
• Stays abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

Qualifications

• Location Toronto , ON
• Work location Hybrid
• Salary $ 30.00 to $ 67.00 HOUR hourly
• Terms of employment Permanent employment Full time
• Starts as soon as possible
• Source CareerBeacon #2665118

• Toronto, ON

View the full job posting on CareerBeacon

Advertised until

2026-02-09

Important notice: This job posting has been provided by a partner site. Job Bank is not responsible for this content.

Report a problem with this job posting * What’s wrong? This job posting contains incorrect information Inaccurate salary Inaccurate job title Link to full job posting / Expired or closed job posting Provide more details: Report potential misuse of Job Bank

Thank you for your help!

You will not receive a reply. For enquiries, please contact us.

Sign up for a Plus account to get the most out of your job search and access all the tools available on Job Bank!

The median wage is the salary of a given occupation where half the workers earn more than that amount, and half earn less. This information is presented on job postings to help job seekers determine how the salary compares to the amount earned by other workers working the same job. Job Bank preferred indicating the median wage, which is less affected by extremely high or low wages, rather than the average wage which is calculated by adding up all the salaries of a group of people and then dividing that total by the number of people.