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Machine Learning Engineer Opt Jobs in Shrewsbury, MA

Manulife

Machine Learning Engineer

Boston, MA · Hybrid

$162K/yr

Machine Learning Engineer Job Duties: * Develop, build and maintain scalable data pipelines supporting underwriting, analytics, and machine learning systems; * Develop and deploy backend services and ...

XPO

Machine Learning Engineer - Hybrid

Boston, MA · On-site

$100K - $120K/yr

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications: * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or ...

XPO

Machine Learning Engineer - Hybrid

Boston, MA

$100K - $120K/yr

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications: * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

STR

Machine Learning Engineer

Boston, MA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML models into production systems that solve critical national security problems. Working as part of a ...

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer ...

Bespoke Labs

Machine Learning Engineer

Worcester, MA

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Shrewsbury, MA

Machine Learning Engineer Opt information

See Shrewsbury, MA salary details

$32.1K

$131.2K

$197.1K

How much do machine learning engineer opt jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning engineer opt in Shrewsbury, MA is $131,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $157,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Shrewsbury, MA?

For Machine Learning Engineer Opt jobs in Shrewsbury, MA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Opt jobs in Shrewsbury, MA look for?

The top searched job categories for Machine Learning Engineer Opt jobs in Shrewsbury, MA are:

What cities near Shrewsbury, MA are hiring for Machine Learning Engineer Opt jobs?

Cities near Shrewsbury, MA with the most Machine Learning Engineer Opt job openings:

Machine Learning Engineer Opt jobs near you
Infographic showing various Machine Learning Engineer Opt job openings in Shrewsbury, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $131,192 per year, or $63.1 per hour.

Machine Learning Engineer

Manulife and John Hancock

Boston, MA • On-site

$162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Employer: John Hancock Life Insurance Company (USA)
Job Site: 200 Berkeley Street, Boston, MA 02116
Job Title: Machine Learning Engineer
Job Duties:
  • Develop, build and maintain scalable data pipelines supporting underwriting, analytics, and machine learning systems;
  • Develop and deploy backend services and microservices to support data ingestion, retrieval, and ML inference workflows;
  • Deploy, monitor, and maintain machine learning pipelines and backend services in production environments;
  • Conduct root-cause analysis of data, model, and pipeline issues and implement corrective solutions;
  • Collaborate with data scientists, underwriters, and engineering teams to translate business requirements into technical solutions; and
  • Support production releases and large-scale batch processing of underwriting workflows.

Work Arrangement requirement: Hybrid from Boston office (3 days from office, 2 days from home)
Minimum Requirements:
Master's degree or foreign equivalent in Data Science, Information Studies, Information Science, Computer Science, Machine Learning, or a closely related field and 3 years of Python programming experience for backend systems, automation, or machine learning workloads.
Experience must include the following, which may be gained concurrently:
  • 3 years of experience using SQL or NoSQL databases including PostgreSQL or MongoDB for data modeling, querying, or pipeline integration.
  • 3 years of experience developing or deploying machine learning models using PyTorch or TensorFlow.
  • 3 years of experience building or maintaining backend APIs or microservices using FastAPI or Flask.
  • 2 years of experience deploying ML workflows or backend services using AWS or Azure.
  • 2 years of experience using containerization and orchestration tools including Docker and Kubernetes.
  • 2 years of experience using GitHub Actions or TeamCity for Continuous Integration/ Continuous Deployment (CI/CD).
  • 2 years of experience designing distributed or scalable systems including microservices, load balancing or distributed processing.

Salary: $162,198 per year
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
$90,160.00 USD - $167,440.00 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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