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Insurance Learning Development Jobs in Toronto, ON

Development Manager

Toronto, ON · On-site

CA$94K - CA$176K/yr

Learning Agility. * Building and managing relationships. * Technical writing / documentation ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Director, Brand Strategy

Toronto, ON · On-site

CA$150K - CA$190K/yr

Our benefits package typically includes health care insurance, retirement plans, generous paid time off and holidays, wellness benefits, life insurance, learning and development opportunities, and ...

Machine Learning Engineer

Toronto, ON · Hybrid

CA$152K - CA$174K/yr

Hands-on experience in model development, particularly with traditional machine learning, NLP, and ... Competitive, equitable salary with top-tier health benefits, dental, and vision insurance * Hybrid ...

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Insurance Learning Development information

What are the key skills and qualifications needed to thrive in Insurance Learning Development, and why are they important?

To excel in Insurance Learning Development, you need a solid understanding of insurance products, adult learning principles, and instructional design, typically backed by a degree in education, business, or a related field. Familiarity with learning management systems (LMS), e-learning authoring tools, and certifications such as CPLP or L&D-focused credentials are commonly required. Excellent communication, creativity, and the ability to adapt training methods to diverse audiences will help you stand out. These skills ensure effective training delivery that enhances employee performance and supports organizational compliance and growth.

What is the difference between Insurance Learning Development vs Insurance Training Coordinator?

AspectInsurance Learning DevelopmentInsurance Training Coordinator
CertificationsTypically requires industry certifications and instructional design credentialsMay require basic insurance or training certifications
Work EnvironmentDesigns and develops training programs, often in corporate or educational settingsCoordinates and delivers training sessions, often within insurance companies or agencies
Employer & Industry UsageUsed by insurance companies, corporate training firms, and educational institutionsCommonly employed by insurance firms, brokerages, and training providers

Insurance Learning Development focuses on creating and implementing comprehensive training programs, often involving instructional design and curriculum development. In contrast, an Insurance Training Coordinator primarily manages the delivery and coordination of training sessions. Both roles support employee education but differ in scope and responsibilities.

What are the main challenges faced by professionals in Insurance Learning Development, and how can they be addressed?

Professionals in Insurance Learning Development often face the challenge of keeping training materials current with evolving regulations and complex insurance products. Additionally, engaging a diverse workforce with varying levels of experience requires innovative instructional strategies and adaptive delivery methods. Building strong collaboration with subject matter experts and regularly seeking feedback from learners can help ensure training programs are both accurate and effective. Staying updated with industry trends and leveraging technology for e-learning also supports continuous improvement in this role.

What is Insurance Learning Development?

Insurance Learning Development refers to the processes and strategies used to train, educate, and develop skills for employees within the insurance industry. This includes creating training programs, managing e-learning platforms, and ensuring staff stay current with regulations and industry best practices. Professionals in this field work closely with subject matter experts to design courses on topics like underwriting, claims management, compliance, and customer service. The goal is to enhance employee performance, maintain compliance, and improve overall organizational effectiveness.
What job categories do people searching Insurance Learning Development jobs in Toronto, ON look for? The top searched job categories for Insurance Learning Development jobs in Toronto, ON are:
Infographic showing various Insurance Learning Development job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Intermediate Machine Learning Engineer

Hibernian General Insurance

Toronto, ON • Hybrid

CA$90K - CA$115K/yr

Other

Medical, Retirement

Re-posted yesterday


Job description

Experience Aviva

Individually we are people, but together we are Aviva. Individually these are just words, but together they are our Values - Care, Commitment, Community, and Confidence.

At Aviva Canada, we put people first, our employees, our customers, and our communities. We're proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We're not just about insurance; we're about making a real difference by protecting what matters most.

The Opportunity

We are looking for a talented and motivated Intermediate Machine Learning Engineer to join our AI/ML Operations & Platform team. The ideal candidate will have hands-on experience in building and deploying machine learning solutions, with an understanding of cloud technologies and data platforms. You will work closely with ML engineers, data scientists, and product teams to support the development and operationalization of ML models across the organization.

What you'll do:
  • Assist in designing and implementing ML pipelines and services in cloud and on-premise environments.

  • Collaborate with cross-functional teams to gather requirements and contribute to scalable ML solutions.

  • Support model deployment, monitoring, and performance optimization.

  • Apply MLOps practices such as CI/CD, model versioning, and retraining workflows.

  • Work with Snowflake and AWS services to support ML model deployment.

  • Contribute to the development and maintenance of on-premise ML workflows.

  • Ensure adherence to data privacy, security, and compliance standards.

  • Participate in code reviews and knowledge sharing within the team.

What you'll bring:
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

  • 2-4 years of experience in machine learning engineering or related roles.

  • Proficiency in Python, along with data processing and ML libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost).

  • Familiarity with AWS and/or Snowflake cloud services, as well as Linux-based systems.

  • Basic experience with Jenkins and containerization tools such as Docker.

  • Strong SQL skills, including an understanding of query optimization techniques.

  • Exposure to ML workflow tools (e.g., MLflow, Airflow) and monitoring frameworks is a plus.

  • Strong analytical and problem-solving abilities.

What makes you stand out:
  • Experience with Apache Spark and Snowpark for scalable data processing.

  • Exposure to cloud platforms (e.g., AWS, Snowflake, Azure, GCP).

What you'll get:
  • The salary band for this position ranges from $90,000 to $115,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity.

  • Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.

  • Hybrid flexible work model.

  • Outstanding career development opportunities.

  • We'll support your professional development education.

  • Competitive vacation package with the option to purchase 5 extra days off per year.

  • Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.

  • Corporate wellness programs to support our employees' physical and mental health.

This job advertisement is for an existing vacancy which has been posted both internally & externally.

Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.

Aviva Canada has an accommodation process in place to provide accommodations for employees with disabilities. If upon commencement of employment you require a specific accommodation because of a disability, please contact your Talent Acquisition Partner so that an appropriate accommodation can be arranged. This process applies throughout your career with Aviva Canada.

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