Senior Machine Learning Engineer

Aviva; Toronto; Hybrid; CAD 110,000 - 145,000; Full time

Job summary

A leading insurance firm is seeking a Senior Machine Learning Engineer with expertise in designing and deploying scalable ML solutions. This role requires proficiency in Python, AWS, Snowflake, and Linux systems, with responsibilities including optimizing ML pipelines and collaborating with cross-functional teams. The salary range for this position is $110,000 to $145,000, alongside a strong benefits package and a hybrid work model to foster work-life balance.

Benefits

Competitive remuneration package

Professional development support

Flexible hybrid working model

Health benefits

Generous vacation package

Qualifications

• Bachelor’s or Master’s degree in relevant field required.
• 5+ years of experience required in machine learning engineering or related roles.
• Strong proficiency in Python and ML libraries required.

Responsibilities

• Design robust ML pipelines and services in production environments.
• Collaborate with teams to translate business requirements into ML solutions.
• Optimize model performance for reliability and scalability.
• Implement MLOps practices including CI/CD and model monitoring.

Skills

Python

Machine Learning libraries (scikit-learn, pyGAM, XGBoost)

SQL

Jenkins

Docker

AWS cloud services

Snowflake

Linux-based systems

Data versioning tools (DVC, Feast)

ML workflow tools (MLflow, Airflow)

Education

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

5+ years of experience in machine learning engineering or related roles

Tools

Snowflake

AWS

Linux

Jenkins

Docker

Job description

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.

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our AI/ML Platform team. The ideal candidate will have a strong background in designing, building, and deploying scalable machine learning solutions in both cloud and on‑premise environments. Hands‑on experience with Snowflake, AWS, and Linux‑based systems is essential. You will collaborate closely with data scientists, data engineers, and product teams to operationalize ML models and drive innovation across the organization.

What you’ll do:

• Design, develop, and deploy robust ML pipelines and services in production environments (cloud and on‑prem).
• Collaborate with cross‑functional teams to understand business requirements and translate them into scalable ML solutions.
• Optimize model performance and ensure reliability, scalability, and maintainability of ML pipelines and systems.
• Implement MLOps best practices, including CI/CD, model versioning, monitoring, and retraining.
• Work with Snowflake and AWS services (e.g., S3, EC2, ECR, MWAA) to build and deploy ML models on the cloud.
• Develop and maintain end‑to‑end on‑premise ML workflow solutions.
• Ensure data privacy, security, and compliance in all ML solutions.
• Mentor junior engineers and contribute to technical leadership within the team.

What you’ll bring:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of experience in machine learning engineering or related roles.
• Strong proficiency in Python and ML libraries (e.g., scikit‑learn, pyGAM, XGBoost).
• Hands‑on experience with Snowflake, Snowpark, and Snowpark ML for data engineering and ML workflows.
• Deep understanding of AWS cloud services and infrastructure for ML deployment.
• Experience with Linux‑based systems, including remote development via SSH.
• Proficiency in Jenkins for orchestration and automation of ML workflows.
• Experience with containerization (Docker).
• Strong proficiency in SQL, with the ability to optimize complex queries using query plans and performance tuning tools.
• Familiarity with data versioning tools (e.g., DVC, Feast), ML workflow tools (e.g., MLflow, Airflow), and monitoring frameworks.
• Excellent problem‑solving skills and ability to work in a fast‑paced environment.

Would be an asset:

• Knowledge of feature stores and model registries.
• Experience with Apache Spark and Snowpark for scalable data processing.
• Exposure to other cloud platforms (e.g., Azure, GCP) is a plus.
• Contributions to open‑source ML projects or publications.

What you’ll get:

• The salary band for this position ranges from $110,000 to $145,000. 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.
• 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.
• Hybrid flexible work model.

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