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Added 5 days ago
Quality Assurance Manager
Space Ops
Hamilton, ON
$125,000 to $145,000 CAD / year
Full-time
Design and maintain scalable automation frameworks using Python.
Added 5 days ago
Computer Vision Engineer
SearchLabs
Mississauga, ON
$200,000 to $250,000 CAD / year
Full-time
Strong Python development skills and experience with modern ML frameworks such as PyTorch.
Added 6 days ago
Machine Learning Engineer
Manulife
Toronto, ON
Full-time
Technical Proficiency: Strong programming skills in Python with hands-on experience in ML frameworks and libraries. Experience with Java or Scala for model serving and JVM-based pipelines…
Added 6 days ago
Stage - Hiver 2027 - Service Numériques pour les Moteurs – Développeur logiciel/ Internship - Winter 2027 Digital Engine Services (DES) – Ground cloud software developer
RTX
Longueuil, QC
Full-time
Développer des modules en python orienté objet qui seront hébergés sur l'environnement AWS
Added 6 days ago
Stage - Hiver 2027- Service Numériques pour les Moteurs – Ingénieur Système Sol / Internship - Winter 2027- Digital Engine Services (DES) – Ground system engineer
RTX
Longueuil, QC
Full-time
Compétences avancées sous Excel, Power BI, Python sont des atouts
Added 5 days ago
Lead IAM Engineer
Braze
Toronto, ON
Strong scripting and automation skills using Python, PowerShell, or similar languages
Added 5 days ago
Cloud Technical Solutions Developer, Storage and Databases
Google
Waterloo, ON
9 years of experience reading/debugging in Java, C, C++, software framework, Python, Shell, Perl, or JavaScript.
Added 6 days ago
Staff, Site Reliability Engineer(Global Security)
Royal Bank of Canada
Vancouver, BC · Halifax, NS · Toronto, ON
Full-time
Solid software engineering fundamentals - proficient in at least one modern language (Python, Go, Java, or similar), with the ability to design and build production-quality services and…
Added 6 days ago
Senior Machine Learning Engineer
Royal Bank of Canada
Calgary, AB · Toronto, ON
Full-time
Strong proficiency in programming and scripting languages (Java, Python, Shell Script, etc.)
Added 5 days ago
Security Automation Engineer-Python / CISSP
BeachHead
Toronto, ON
Contract
Are you an experienced Specialty Developer looking to contribute to critical security projects? Apply Now!
Added 5 days ago
Sr Analyst, DevOps
Brookfield
Toronto, ON
Full-time
The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and…
Added 5 days ago
Data Analyst - Expert
Raise
Toronto, ON
Full-time
Develop and maintain data solutions using ADF, Databricks, Azure, and Python.
Added 5 days ago
Lead IAM Engineer
Braze
Toronto, ON
Full-time
Strong scripting and automation skills using Python, PowerShell, or similar languages
Added 5 days ago
Offensive Security Engineer
Epsilon Solutions Ltd.
Toronto, ON
Contract
Advanced technical proficiency in multiple programming language (Java, C#, C, C++, Python, JavaScript/TypeScript, .NET, Go) with proven ability to personally write, review, and remediate…
Added 5 days ago
Manager, Software Development
Space Ops
Hamilton, ON
$140,000 to $170,000 CAD / year
Full-time
Design and build scalable backend services using Node.js, TypeScript, and Python.
Added 5 days ago
Data Scientist
TMC Canada
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
Solides compétences en développement Python ;
Added 1 month ago
Analyst, Financial Modeling
Boralex
Montreal, QC
Knowledge of Power BI, Power Query, VBA or Python as a lever for automation and control.
Added 5 days ago
Ingénieur(e) solutions
ChapsVision
Montreal, QC
Full-time
Expérience pratique d’au moins un langage de programmation (Python, Java, C# ou similaire)
Added 6 days ago
AI & ML Intern - Electrical Engineer (Witner 2027)
Trench Group GmbH
Toronto, ON
Develop and integrate AI and Machine Learning models using Python and relevant libraries (such as TensorFlow or PyTorch) into practical engineering tools.
Added 6 days ago
Intern - Credit Risk, Winter 2027
EQ Bank | Canada's Challenger Bank
Toronto, ON
Strong technical proficiency in SQL and Python, with demonstrated ability to manipulate, analyze, and interpret large datasets.
Added 6 days ago
Senior API Platform Solutions Design Engineer
Sun Life
Edmonton, AB · Vancouver, BC · Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
Previous experience with programming in Python and/or JavaScript is nice to have.
Added 6 days ago
Student, Data Governance Analyst (Winter 2027)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
Design and develop robust Python-based automation tools using Visual Studio Code for complex metadata management tasks
Added 6 days ago
Full Stack Developer – Data Engineering (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
We’re seeking someone to join our Data Obfuscation team as a Full Stack Developer – Data Engineering to design and deliver scalable, secure, and reusable data platforms and services that…
Added 20 days ago
Test Engineer – Guelph, ON Canada
Connect Tech Inc.
Guelph, ON
Full-time
Experience creating Bash and Python scripts is also beneficial
Added 5 days ago
Senior Automation Developer with Blue Prism
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
We are seeking a highly skilled Senior Automation Developer to design, develop, and optimize automation solutions using Blue Prism, with complementary expertise in Python, SQL, and API…

Manulife

Machine Learning Engineer

Toronto, ON, Canada

Pay: $94,430.00 CAD - $144,430.00 CAD
Job type: Full-time
Apply by: Sep 29, 2026
Experience: Professional Experience: At least 4 years of experience in machine learning engineering, with a proven track record of building and deploying ML models and systems in production.
Posting language: English
Posted: Sep 15, 2026

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Original job description

Manulife's bold ambition is to become a digital, customer-first leader. To achieve this, we've made significant investments in Advanced Analytics and AI capabilities.

We are seeking an innovative and experienced Machine Learning Engineer to join our AI + Data team, a cross-functional group spanning Operations, Technology, and Marketing. Our team's mission is to research, build, and deliver production-grade machine learning and Generative AI capabilities that help us better understand our customers, personalize experiences, and drive measurable business impact across insurance, banking, and wealth management globally.

As a Machine Learning Engineer, you will design, build, and operate the platforms, pipelines, and reusable patterns that take models from experimentation to production at scale. You will work with large-scale, diverse datasets including call center transcripts, insurance claims, digital transactions, and more, building systems that enhance the end-to-end customer experience.

This is a global role with exposure to markets in Canada, the U.S., and Asia, offering the opportunity to collaborate with cross-functional teams and deliver robust, scalable ML systems across multiple business segment

Position Responsibilities:

Reusable Patterns and Accelerators: Build reusable patterns for data, ML, and GenAI workloads, following MLOps, LLMOps, and AIOps best practices, and partner with delivery teams on implementation.
CI/CD: Own the engineering backbone for ML delivery, including source control workflows, build and deployment pipelines, automated testing, spec-driven development, and release management.
Infrastructure as Code: Provision and manage PaaS infrastructure using Terraform, with repeatable, version-controlled environments across development, staging, and production.
Credential and Secrets Management: Implement secure credential handling using Azure Key Vault and managed identities, scoping access narrowly across services and pipelines.
Scalable Infrastructure: Develop and maintain scalable ML platforms and serving infrastructure that support training, inference, monitoring, and lifecycle management of models in production.
Data Pipeline Optimization: Partner with data engineers to build high-quality, well-tested feature and training pipelines that ensure efficient, reliable data processing for ML applications.
Model Development and Deployment: Design, train, evaluate, and deploy machine learning models, and integrate large language models where they are the right tool, to solve complex business problems and improve operational efficiency.
Model Performance and Reliability: Continuously monitor and improve models and systems for accuracy, latency, cost, drift, and reliability, with clear observability and alerting.
Governance and Responsible AI: Ensure interoperability, data consistency, and responsible AI through strong API and data standards, metadata management, security-by-design, privacy controls, and model governance.
Integration and Collaboration: Partner with data scientists, engineers, and business stakeholders to gather requirements and integrate ML solutions smoothly with existing systems.
Innovation and Research: Stay current with emerging technologies and practices across data engineering, machine learning, and Generative AI, including RAG, vector search, model fine-tuning, and orchestration frameworks.

Required Qualifications:

Professional Experience: At least 4 years of experience in machine learning engineering, with a proven track record of building and deploying ML models and systems in production.
Technical Proficiency: Strong programming skills in Python with hands-on experience in ML frameworks and libraries. Experience with Java or Scala for model serving and JVM-based pipelines is an asset, as is familiarity with GenAI tooling such as LangChain, LangGraph, or the OpenAI SDK.
MLOps and CI/CD: Practical experience with model lifecycle tooling (for example MLflow, Azure Machine Learning, or Databricks) and with CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps.
Cloud and Infrastructure: Working knowledge of cloud platforms, containerization (Docker, Kubernetes), and infrastructure as code with Terraform.
Educational Background: Bachelor's degree in Computer Science, Engineering, Statistics, or a related field. Equivalent technical experience is also considered.

Preferred Qualifications:

Machine Learning Expertise: Strong knowledge of machine learning algorithms, with experience adapting pre-trained and foundation models to domain-specific problems.
Large-Scale Data Processing: Experience with distributed computing frameworks such as Spark, and with lakehouse architectures on Databricks or equivalent, including Delta and Unity Catalog for data and model governance.
Data Engineering Skills: Solid understanding of data engineering principles, including data pipelines and ETL processes.
Problem-Solving Ability: Exceptional problem-solving skills with the capacity to tackle complex technical challenges.
Effective Communication: Excellent communication skills to effectively collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders.

When you join our team:

We’ll empower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$94,430.00 CAD - $144,430.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact [email protected] for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact [email protected] for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

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More about this job

Responsibilities

Design, build, and operate scalable machine learning platforms and pipelines to transition models from experimentation to production. Collaborate with cross-functional teams to implement reusable patterns for data, ML, and Generative AI workloads while ensuring model performance and governance.

Requirements

Requires at least 4 years of professional experience in machine learning engineering with strong proficiency in Python and ML frameworks. Candidates should have a bachelor's degree in a technical field and practical experience with cloud infrastructure, CI/CD pipelines, and containerization.

Skills

Python
Machine learning
Generative AI
MLOps
CI/CD
Terraform
Azure
Kubernetes
Docker
Data engineering
Spark
Databricks
LLMOps
AIOps
SQL
Java

Benefits

Health insurance
Dental insurance
Mental health support
Vision insurance
Short-term disability
Long-term disability
Life insurance
AD&D insurance
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans
Pension
Global share ownership plan
Financial education and counseling
Paid time off
Vacation
Personal days
Sick days

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning Engineer
Advanced Analytics
Generative AI
MLOps
LLMOps
AIOps
Python
Terraform
Azure Key Vault
CI/CD
Kubernetes
Docker
Spark
Databricks
Delta Lake
Unity Catalog
RAG
Vector search
Model fine-tuning
Orchestration
Insurance
Banking
Wealth management
Data engineering
ETL
API standards
Responsible AI
Cloud computing
Infrastructure as Code
Scalable systems

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