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Machine Learning Engineer From Home Jobs in Massachusetts

Manulife

Machine Learning Engineer

Boston, MA · Hybrid

$162K/yr

Machine Learning Engineer Job Duties: * Develop, build and maintain scalable data pipelines ... Hybrid from Boston office (3 days from office, 2 days from home) Minimum Requirements: Master ...

Sierra Ventures

Machine Learning Engineer

Somerville, MA · On-site

$170 - $200/hr

... from concept to production. Your Impact * Develop and deploy high-quality machine learning models ... Collaborate with engineers, researchers, product managers, and company leadership to define and ...

SupportFinity™

Machine Learning Engineer

Boston, MA · On-site

$140 - $210/hr

About the Role We are seeking a high-impact Machine Learning Developer/Engineer to join our integrated discovery team. In this role, you will be the algorithmic engine of our programs, developing and ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

Capital One

Lead Machine Learning Engineer (IC)

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

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 ... Partner with applied and data scientists to productionize models and streamline the path from ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... AI means being part of a team shaping the next decade of autonomy from defense applications to ...

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 ... Partner with applied and data scientists to productionize models and streamline the path from ...

Capital One

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer From Home JobsMachine Learning Engineer From Home Jobs in Massachusetts

Machine Learning Engineer From Home information

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

AspectMachine Learning Engineer From HomeData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, collaborative teams, research-focused
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for technical skills and remote work optionsCompared for data analysis and modeling expertise

While both roles require strong technical credentials and often involve remote work, Machine Learning Engineers From Home focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The choice depends on whether you prefer building algorithms or interpreting data trends.

Can a machine learning engineer work from home?

Yes, many machine learning engineers can work from home, especially in roles that involve data analysis, model development, and coding using tools like Python and TensorFlow. Remote work is common in this field, provided the engineer has a reliable internet connection, access to necessary hardware, and effective communication skills.

What are the most commonly searched types of Machine Learning Engineer jobs in Massachusetts?

The most popular types of Machine Learning Engineer jobs in Massachusetts are:

What are popular job titles related to Machine Learning Engineer From Home jobs in Massachusetts?

For Machine Learning Engineer From Home jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer From Home jobs in Massachusetts look for?

The top searched job categories for Machine Learning Engineer From Home jobs in Massachusetts are:

What cities in Massachusetts are hiring for Machine Learning Engineer From Home jobs?

Cities in Massachusetts with the most Machine Learning Engineer From Home job openings:

Machine Learning Engineer From Home jobs near you
Infographic showing various Machine Learning Engineer From Home job openings in Massachusetts as of August 2026, with employment types broken down into 2% As Needed, 71% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Machine Learning Engineer

Manulife and John Hancock

Boston, MA • On-site

$162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 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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