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Remote Machine Learning Jobs in Worcester, MA (NOW HIRING)

Sr. Data Engineer

Woonsocket, RI · On-site +1

$109K - $185K/yr

Working with machine learning platforms or MLOps infrastructure; Relational databases such as PostgreSQL or MySQL; Unix, Linux, or Shell scripting; and Version control using Git. Pay Range: $109512 ...

Data Scientist

Woonsocket, RI · On-site +1

$98K - $158K/yr

Machine learning, statistical analysis, and predictive modeling; SAS or SQL programming languages;. "Big data" platforms including Hadoop (Azure, GCP, or AWS); Visualization tools, including PowerBI ...

Data Scientist

Woonsocket, RI · On-site +1

$98K - $144K/yr

... machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk ...

Data Scientist

Woonsocket, RI · On-site +1

$141K - $144K/yr

Also requires five (5) years of in each of the following: • Interpret large datasets using statistical methods, programming skills, and machine learning techniques using statistical models like ...

Data Engineer

Wellesley, MA · On-site +1

$140K - $173K/yr

Supervised machine learning; Programming in Python, R, or MATLAB; Unsupervised machine learning and data mining; Algorithmic design paradigms and techniques; Web technologies including ASP.NET, C# ...

Data Scientist

Woonsocket, RI · On-site +1

$141K - $185K/yr

... machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk ...

Data Scientist

Woonsocket, RI · On-site +1

$98K - $185K/yr

... machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk ...

Data Engineer

Wellesley, MA · On-site +1

$140K - $173K/yr

Supervised machine learning; Programming in Python, R, or MATLAB; Unsupervised machine learning and data mining; Algorithmic design paradigms and techniques; Web technologies including ASP.NET, C# ...

Data Scientist

Woonsocket, RI · On-site +1

$141K - $144K/yr

Interpret large datasets using statistical methods, programming skills, and machine learning techniques using statistical models like WEIBULL, PARETO, BOX PLOT, CONTRL CHARTS, REGRESSION, CORRELATION ...

Sr. Data Scientist

Woonsocket, RI · On-site +1

$98K - $185K/yr

... machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk ...

Data Scientist

Woonsocket, RI · On-site +1

$98K - $144K/yr

... machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk ...

Data Scientist

Woonsocket, RI · On-site +1

$98K - $185K/yr

... machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk ...

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Showing results 1-20

Remote Machine Learning information

See Worcester, MA salary details

$25.4K

$42.5K

$87.8K

How much do remote machine learning jobs pay per year?

As of Jun 28, 2026, the average yearly pay for remote machine learning in Worcester, MA is $42,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Worcester, MA? The most popular types of Machine Learning jobs in Worcester, MA are:
What job categories do people searching Remote Machine Learning jobs in Worcester, MA look for? The top searched job categories for Remote Machine Learning jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Remote Machine Learning jobs? Cities near Worcester, MA with the most Remote Machine Learning job openings:
Sr. Data Engineer

Sr. Data Engineer

CVS Health

Woonsocket, RI • On-site, Remote

$109K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,268 frontline employees who took The Breakroom Quiz

77th of 99 rated pharmacies


Job description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Sr. Data Engineer to Design, build, and manage large-scale data pipelines and backend services to support analytics, machine learning and AI platform initiatives. Duties include: collect, organize and standardize data to enable reporting; design database schemas and data models to support internal reporting and analytics; integrate data from multiple sources while ensuring data quality and accessibility standards; develop and maintain scalable data pipelines using workflow orchestration tools to enable model training, feature engineering, and inference; build backend API services for AI applications, including secure authentication, data storage, and metrics logging; collaborate with enterprise infrastructure, observability, networking, devops and AI governance teams to build automated AI production workflows; support large language model (LLM) integration efforts, including prompt engineering and building applications that leverage generative AI; contribute to AI platform capabilities for reporting, governance and compliance tracking; develop Python libraries and reusable components to streamline data operations, automate compliance, and improve engineering efficiency; analyze current information technology and cloud environments to identify and assess critical capabilities, performance bottlenecks, and cost drivers and recommend solutions; implement software engineering best practices including CI/CD pipelines, unit testing, and thorough code reviews; and mentor junior team members. Telecommuting available. Multiple positions. Requirements: Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Information Systems Management, Data Analytics, or a related field and two (2) years of experience in the job offered or related occupation. Requires one (1) year of experience in each of the following: Python programming for data engineering and backend development; Google Cloud Platform (GCP) or similar cloud services; BigQuery, Snowflake, or similar cloud data warehouses; Apache Airflow or similar workflow orchestration tools; Building and operating data pipelines at scale; SQL for data querying and transformation; FastAPI, Flask, or similar Python web frameworks; Building CI/CD pipelines for automated deployments; Working with machine learning platforms or MLOps infrastructure; Relational databases such as PostgreSQL or MySQL; Unix, Linux, or Shell scripting; and Version control using Git. Pay Range: $109512.00/year to $185400.00/year.

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company’s equity award program. 
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities.  The Company offers a full range of medical, dental, and vision benefits.  Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees.  The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners.  As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. 
Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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