Machine Learning Engineer

Manulife Insurance Malaysia; Toronto; Hybrid; CAD 75,000 - 141,000; Full time

Job summary

Join a leading financial services company as a Machine Learning Engineer in Toronto. You will develop generative AI solutions, support internal teams, and ensure compliance with industry standards while working in a collaborative environment that values learning and growth. With a competitive salary and a commitment to diversity, this role offers an exciting opportunity at the forefront of technology and finance.

Benefits

Flexible work environment

Health and dental insurance

Employee assistance plans

Comprehensive retirement savings plans

Generous paid time off program

Qualifications

• 3+ years of experience in machine learning engineering.
• Experience with production-level deployments.
• Experience building generative AI applications, preferably in a financial context.

Responsibilities

• Implement and fine-tune large language models.
• Collaborate with experts to understand complex use cases.
• Manage full model lifecycle including versioning and evaluation.

Skills

Proficient in Python

Experience with ML frameworks

Deep understanding of LLM fine-tuning

Knowledge of MLOps tools

Education

Bachelor’s or Master’s degree in Computer Science

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

Machine Learning Engineer page is loaded

Machine Learning Engineer

Apply locations Toronto, Ontario Montreal, Quebec time type Full time posted on Posted 2 Days Ago time left to apply End Date: July 19, 2025 (11 days left to apply) job requisition id JR25051578

Join Manulife and be part of an exceptionally dedicated team where your work ethic will determine the success of our innovative solutions. Apply now to compete at the forefront of generative AI and financial technology!

At Manulife, we offer a uniquely collaborative environment where you will craft, develop, and deploy generative AI applications. These include copilots, summarization tools, conversational agents, and retrieval-augmented generation (RAG) pipelines to support both internal teams and client-facing platforms.

As a Machine Learning Engineer, your role will be crucial in implementing and fine-tuning large language models, integrating them with vector databases, and building scalable RAG systems. Collaborating with financial domain experts, you will understand complex use cases in wealth management, retirement planning, risk analysis, and client servicing. You'll also build and maintain APIs, model serving layers, and secure pipelines to ensure robust deployment and monitoring.

In this ambitious role, you will implement MLOps workflows to manage the full model lifecycle, including versioning, evaluation, and drift detection. Ensuring data privacy, security, compliance (e.g., FINRA, SEC), and responsible AI practices in all model deployments, you will contribute to our world-class standards!

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in machine learning engineering, including experience with production-level deployment.
• Proficient in Python and experienced with generative AI and machine learning frameworks (e.g., Hugging Face Transformers, LangChain, PyTorch).
• Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and CI/CD workflows.
• Experience building generative AI applications in a financial context (e.g., advisor tools, regulatory automation, portfolio analysis).
• Deep understanding of LLM fine-tuning, embeddings, and timely optimization.
• Knowledge of MLOps tools (MLflow, SageMaker, Azure ML) and model monitoring frameworks.

Preferred Qualifications

• Familiarity with enterprise architecture, APIs, and secure software design in regulated environments.
• Familiarity with timely engineering.
• Awareness of financial regulations and compliance considerations (e.g., data retention, audibility, explainable).

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.

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 [e-mail] .

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$75,880.00 CAD - $140,920.00 CAD

If you are applying for this role outside of the primary location, please contact [e-mail] for the salary range for your location. 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. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.

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 [e-mail] for more information about U.S.-specific paid time off provisions.

About Us

We're Manulife. And we’re on a mission to make decisions easier and lives better.

Better is what drives us.It’s what inspires us to find new ways to support customers and colleagues in living longer and healthier lives.It’s the reason we’re dedicated to investing in digital innovation and accelerating a sustainable and economically inclusive future.

Joining us means you’ll be empowered to learn and grow your career. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. And as part of our global team, you’ll help shape the future you want to see – and discover that better can take you anywhere you want to go.

We’re proud of our accomplishments and recognitions. Recent awards include:

2024 Gallup Exceptional Workplace Award Winner

Manulife Named one of Forbes World’s Best Employers 2023

Best Companies to Work for in Asia 2023

We’ve been recognized as one of Canada’s Top 100 Employers (2024)

Manulife included in Bloomberg’s 2023 Gender-Equality Index

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Our ambition is to be the most digital, customer-centric global company in our industry. Learn more at https://www.manulife.com/ .