Pay: USD 107,450–199,550/yearAnnual period assumed · Location-specific pay — pay source
Salary range is expected to be between $107,450.00 USD - $199,550.00 USD 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.
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Work setup: Hybrid stated — work setup source
Working Arrangement Hybrid Salary range is expected to be between
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Employment: Unconfirmed

What you’ll work on

You’ll work at the intersection of business and technology to build scalable AI solutions that enhance customer experience, simplify processes, and drive smarter decisions.
Design, build, and operationalize machine learning models—from experimentation to scalable production systems (including classical ML, deep learning, and LLM-based solutions)
Mentor junior engineers and contribute to a strong engineering culture

From the employer’s posting

The Opportunity Join John Hancock’s AI team and help transform the insurance experience through advanced analytics and intelligent automation. You’ll work at the intersection of business and technology to build scalable AI solutions that enhance customer experience, simplify processes, and drive smarter decisions. As part of a global community of 260+ data scientists and AI professionals across Manulife, you’ll collaborate with experts worldwide on high-impact initiatives. We are on a transformation journey to remove complexity from financial services and make decisions easier for our customers.

What You’ll Do Design, build, and operationalize machine learning models—from experimentation to scalable production systems (including classical ML, deep learning, and LLM-based solutions) Develop and maintain end-to-end ML pipelines with CI/CD, monitoring, and model performance tracking

Apply and champion MLOps best practices across the full model lifecycle Mentor junior engineers and contribute to a strong engineering culture What You Bring

What you’ll bring

All qualifications

Core experience

Master’s or PhD in Computer Science, Engineering, or a related quantitative field
Experience with fraud detection, anomaly detection, or deepfake detection
Ownership and accountability in fast-paced environments
5+ years of experience delivering machine learning solutions in production
Experience working in agile environments (e.g., JIRA)
Hands-on experience with NLP and document understanding (e.g., classification, entity extraction, relationship extraction)

Qualification wording

Master’s or PhD in Computer Science, Engineering, or a related quantitative field

Experience with fraud detection, anomaly detection, or deepfake detection

Ownership and accountability in fast-paced environments

5+ years of experience delivering machine learning solutions in production

Experience working in agile environments (e.g., JIRA)

Hands-on experience with NLP and document understanding (e.g., classification, entity extraction, relationship extraction)

Education & alternatives

What You Bring - Master’s or PhD in Computer Science, Engineering, or a related quantitative field - 5+ years of experience delivering machine learning solutions in production

Tools in this posting

Python
AWS
Docker
Google Cloud (GCP)
Hadoop
Kubernetes
Spark
SQL
Java
Azure

Source

- 5+ years of experience delivering machine learning solutions in production - Strong programming skills in Python (Java/SQL a plus) - Hands-on experience with NLP and document understanding (e.g., classification, entity extraction, relationship extraction)

- Strong understanding of the AI lifecycle: data preparation, feature engineering, model development, deployment, and monitoring - Experience with distributed computing (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, or Azure) - Familiarity with Docker, Kubernetes, CI/CD pipelines, and production-grade engineering practices

- Experience with distributed computing (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, or Azure) - Familiarity with Docker, Kubernetes, CI/CD pipelines, and production-grade engineering practices Nice to Have

About Manulife Financial Corporation

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.

In the employer’s words · Read in context

Job description

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Senior Machine Learning Engineer

The Opportunity

Join John Hancock’s AI team and help transform the insurance experience through advanced analytics and intelligent automation. You’ll work at the intersection of business and technology to build scalable AI solutions that enhance customer experience, simplify processes, and drive smarter decisions.

As part of a global community of 260+ data scientists and AI professionals across Manulife, you’ll collaborate with experts worldwide on high-impact initiatives. We are on a transformation journey to remove complexity from financial services and make decisions easier for our customers.

What You’ll Do

Design, build, and operationalize machine learning models—from experimentation to scalable production systems (including classical ML, deep learning, and LLM-based solutions)
Develop and maintain end-to-end ML pipelines with CI/CD, monitoring, and model performance tracking
Lead technical design reviews and define architecture standards for scalability, reliability, and security
Partner with data scientists, engineers, and business stakeholders to deliver AI solutions aligned to business goals
Apply and champion MLOps best practices across the full model lifecycle
Mentor junior engineers and contribute to a strong engineering culture

What You Bring

Master’s or PhD in Computer Science, Engineering, or a related quantitative field
5+ years of experience delivering machine learning solutions in production
Strong programming skills in Python (Java/SQL a plus)
Hands-on experience with NLP and document understanding (e.g., classification, entity extraction, relationship extraction)
Experience working with unstructured data (PDFs, images) using vision/language models and OCR
Strong understanding of the AI lifecycle: data preparation, feature engineering, model development, deployment, and monitoring
Experience with distributed computing (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, CI/CD pipelines, and production-grade engineering practices

Nice to Have

Experience with fraud detection, anomaly detection, or deepfake detection
Exposure to generative AI, LLM fine-tuning, or agent-based systems
Experience working in agile environments (e.g., JIRA)

What Drives Success

Customer-first mindset with a focus on impact
Curiosity and passion for applying emerging AI technologies
Ownership and accountability in fast-paced environments
Strong collaboration across cross-functional teams
Commitment to integrity and inclusion

What We Offer

Competitive compensation and comprehensive benefits
Career growth and leadership opportunities
Flexible work environment and strong work-life balance
A collaborative, inclusive, and innovation-driven culture

Our Commitment

We are a values-driven organization focused on inclusion, innovation, and creating meaningful impact for our customers, colleagues, and communities.

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

Boston, Massachusetts

Working Arrangement

Hybrid

Salary range is expected to be between

$107,450.00 USD - $199,550.00 USD

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/John Hancock 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/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

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.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify

Company: John Hancock Life Insurance Company (U.S.A.)

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Source & posting history

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Source excerpts

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Pay: Salary range is expected to be between $107,450.00 USD - $199,550.00 USD 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.
Location & working pattern: Boston, Massachusetts
Working Arrangement Hybrid Salary range is expected to be between
Work authorization: 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. Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify Company: John Hancock Life Insurance Company (U.S.A.)
More relevant text appears in the full description.

Open source at manulife.wd3.myworkdayjobs.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Jun 26, 2026
Recorded sightings: 89
Last seen by us: Oct 8, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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