Intermediate Machine Learning Engineer

Aviva; Markham; Hybrid; CAD 70,000 - 90,000; Full time

Job summary

A leading insurance firm is seeking an Intermediate Machine Learning Engineer to support the development and operationalization of machine learning models. The ideal candidate will have a Bachelor’s degree and hands-on experience with Python and cloud services like AWS. This position offers hybrid work flexibility and a compelling rewards package including a competitive vacation plan and professional development opportunities.

Benefits

Compelling rewards package

Hybrid flexible work model

Outstanding career development opportunities

Corporate wellness programs

Qualifications

• 2-4 years of experience in machine learning engineering or related roles.
• Strong SQL skills, including an understanding of query optimization techniques.
• Exposure to ML workflow tools (e.g., MLflow, Airflow) is a plus.

Responsibilities

• Assist in designing and implementing ML pipelines in cloud and on-premise environments.
• Collaborate with cross-functional teams for scalable ML solutions.
• Ensure adherence to data privacy, security, and compliance standards.

Skills

Python

Machine Learning Libraries (Pandas, NumPy, scikit-learn, XGBoost)

SQL

Analytical skills

Collaboration

Cloud services (AWS, Snowflake)

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

Tools

AWS

Snowflake

Jenkins

Docker

Apache Spark

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:

• 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.

Please note that we may use AI tools to help us through the recruitment process. This is a new position which has been posted internally & externally.

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.