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Added 2 days ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Exadel
Canada
Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL.
Added 2 days ago
AT
AI Engineer
Altitude Technology Solutions Inc
Toronto, ON
- Contract
Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector…
Added 2 days ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 2 days ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 2 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 2 days ago
AI
AI Platform Engineer with DevOps Experience
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Halifax, NS
- Full-time
Champion developer experience and DevOps best practices.
Added 3 days ago
BS
AI DevOps Platform Engineer
BULLTECH SOLUTIONS LTD
Halifax, NS
- Full-time
Champion developer experience and DevOps best practices.
Added 3 days ago
RS
Senior Full Stack Software Developer, RMJ
Redwood Software
ON
- $132,000 to $165,000 CAD / year
5+ years of professional experience in full stack development with strong expertise in Java (Java 11/17+)
Added 3 days ago
SI
Staff Backend Engineer (Payments and Billing)
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
Has hands-on experience with agentic engineering tools and workflows in a real production setting. You use AI agents daily, can explain how you choose a tool or approach for a task, and…
Added 4 days ago
C
Software Developer
Cliniconex
Ottawa, ON · Kanata, ON
- Full-time
Backend development experience, ideally with Java; Flutter/Dart, Python, and Go skills are assets
Added 4 days ago
AI
AI CyberSecurity Specialist
Agility IT
Toronto, ON
- Contract
Strong hands-on software development skills, particularly in Python, with experience in Java, Node.js, Go, C/C++, and additional modern programming languages.
Added 4 days ago
A
Java Full Stack Engineer ( AI Engineering)
Astek
Montreal, QC
- Full-time
Primary skills: Strong full-stack development experience with Angular and TypeScript, Java and Spring Boot, RESTful APIs, distributed systems, and secure application design.
Added 4 days ago
C
Software Developer (Agentic AI & Automation) - Entry Level/Intermediate
Cliniconex
ON · Kanata, Ontario
- Full-time
Backend development experience, ideally with Java; Flutter/Dart, Python, and Go skills are assets
Added 4 days ago
Software Engineer - Agent Development
Infoblox
Burnaby, BC
Collaborating closely with software engineers, data engineers, architects, product managers, and security partners, you will develop practical solutions that connect large language models,…
Added 4 days ago
PC
AI Platform Engineer
Pyramid Consulting, Inc
Halifax, NS
- $42 CAD / hour
- Contract
Champion developer-experience and best practices in conjunction with DevOps to ensure no developer is left behind
Added 4 days ago
M
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 4 days ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Experience with LLMs, AI agents, tool calling, orchestration frameworks, APIs, and security automation
Added 4 days ago
C
Ingénieur(e) applications GenAI / agentiques et DevSecOps
CGI
Montreal, QC
- Full-time
Hands-on experience with managed LLM services (Azure OpenAI, AWS Bedrock, Google Vertex AI) and models (GPT, Claude, Llama, Mistral).
Added 4 days ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Experience with LLMs, AI agents, tool calling, orchestration frameworks, APIs, cloud, containers, and security automation.
Added 4 days ago
AI
Cloud Platform Engineer – AWS, Python, DevOps & AI/LLM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Working experience with at least one additional language or ecosystem such as Java, .NET, Groovy, or Node.js.
Added 4 days ago
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QA Automation Tester
Flynn Group of Companies
Mississauga, ON
- $72,000 to $82,000 CAD / year
- Full-time
2+ years of experience with Selenium and/or Appium frameworks in C# or Java
Added 4 days ago
R
Senior AI Analyst (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
- Full-time
Strong proficiency in Python, TypeScript or Java, together with an outstanding capacity for continuous learning.
Added 5 days ago
C
Senior AI Analyst (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Strong proficiency in Python, TypeScript or Java, together with an outstanding capacity for continuous learning.
Added 5 days ago
G
Cybersecurity Specialist- Research and Scientist
Galent
Toronto, ON
- Contract
Experience with LLMs, AI agents, tool calling, orchestration frameworks, APIs, and security automation
Added 5 days ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.

Manulife

Machine Learning Engineer

Toronto, ON, Canada

$94,430.00 CAD - $144,430.00 CAD · Full-time

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Job details

Pay: $94,430.00 CAD - $144,430.00 CAD
Job type: Full-time
Apply by: Nov 4, 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: Oct 21, 2026

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 hr@manulife.com.

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 hr@manulife.com 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 hr@manulife.com 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

Build and operate scalable machine learning platforms, pipelines, deployment workflows, and reusable patterns that move models from experimentation into production. Develop and deploy ML and GenAI solutions, optimize their performance and reliability, and ensure secure, governed integration with data pipelines and business systems.

Requirements

Requires at least four years of machine learning engineering experience, strong Python skills, and hands-on experience building and deploying production ML systems. A bachelor's degree in computer science, engineering, statistics, or a related field is required or equivalent technical experience; experience with MLOps, CI/CD, cloud infrastructure, containers, and Terraform is also expected.

Skills

Python
Machine Learning
Generative AI
MLOps
LLMOps
AIOps
CI/CD
Terraform
Azure Key Vault
Docker
Kubernetes
MLflow
Azure Machine Learning
Databricks
Apache Spark
Data Engineering

Benefits

Health Insurance
Dental Insurance
Mental Health Benefits
Vision Insurance
Short-Term Disability Insurance
Long-Term Disability Insurance
Life and Accidental Death and Dismemberment Insurance
Adoption and Surrogacy Benefits
Wellness Benefits
Employee and Family Assistance Plans
Retirement Savings Plans
Pension
Global Share Ownership Plan with Employer Matching
Financial Education and Counseling
Paid Holidays
Vacation
Personal Days
Sick Days
Statutory Leaves of Absence
Incentive Compensation

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Generative AI
MLOps
LLMOps
AIOps
Python
Java
Scala
LangChain
LangGraph
OpenAI SDK
MLflow
Azure Machine Learning
Databricks
Jenkins
GitHub Actions
Azure DevOps
Terraform
Azure Key Vault
Managed Identities
Docker
Kubernetes
Apache Spark
Lakehouse Architecture
Delta
Unity Catalog
RAG
Vector Search
Model Fine-Tuning
CI/CD

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