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Remote Machine Learning Engineer Jobs in Worcester, MA

Sr. Data Engineer

Woonsocket, RI · On-site +1

$109K - $185K/yr

Python programming for data engineering and backend development; Google Cloud Platform (GCP) or ... Working with machine learning platforms or MLOps infrastructure; Relational databases such as ...

Data Scientist

Woonsocket, RI · On-site +1

$98K - $158K/yr

Machine learning, statistical analysis, and predictive modeling;Programming in R, Hadoop, or Python;R, Python, or SQL;SAS or SQL programming languages;Machine Learning or NLP (Scikit-Learn, SpaCity ...

Sr. Data Scientist

Woonsocket, RI · On-site +1

$98K - $185K/yr

... programming languages and visualization software to explore, analyze, and interpret large volumes ... Machine learning, statistical analysis, and predictive modeling;Developing and deploying predictive ...

Sr. Data Scientist

Woonsocket, RI · On-site +1

$101K - $203K/yr

SAS and SQL programming languages; Machine learning, statistical analysis, and predictive modeling; Contributing to largescale applications development, data science, or data analytics projects; Data ...

Sr. Data Scientist

Woonsocket, RI · On-site +1

$203K/yr

Feature engineering model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; Machine learning algorithms and operations such as ...

Data Scientist

Woonsocket, RI · On-site +1

$98K - $158K/yr

SAS or SQL programming languages; Visualization tools, including PowerBI; Machine learning, statistical analysis and predictive modeling; NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)

Data Scientist

Wellesley, MA · On-site +1

$114K - $173K/yr

Machine learning, statistical analysis, and predictive modeling;Programming in R, Python, or SQL;Visualization tools, including PowerBI or Tableau;Tools to automate CI/CD pipelines: Jenkins, GIT, or ...

Principal Data Scientist

Woonsocket, RI · On-site +1

$144K - $288K/yr

Machine learning, statistical analysis, and predictive modeling; Hadoop and Hive; R, Python, or SQL; SAS or SQL programming languages; Visualization tools, including PowerBI or Tableau; Designing ...

Data Engineer

Woonsocket, RI · On-site +1

$130K - $144K/yr

Machine learning, statistical analysis, and predictive modeling;Relational database concepts;Designing data models and solutions for analytical and reporting use cases;Feature engineering, model ...

Software Development Engineer

Wellesley, MA · On-site +1

$131K - $173K/yr

Software Development Engineer to design and develop software applications and platforms to support ... and machine learning infrastructure design; Writing Extract/Transform/Load (ETL) processes; and ...

Machine learning, statistical analysis, and predictive modeling;Hadoop and Hive;R, Python, or SQL;SAS or SQL programming languages;Visualization tools, including PowerBI or Tableau;Designing data ...

Data Science Tutor

Newton, MA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Waltham, MA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

... in programming, analytics, data modeling, machine learning algorithms, statistical analysis, data engineering, and data visualization, including advanced analytic techniques, such as predictive ...

Sr Data Scientist

Woonsocket, RI · On-site +1

$101K - $203K/yr

Programming in Python, R, and SQL; Spark Natural Language Processing (NLP) and PySpark; Machine learning, statistical analysis, and predictive modeling; Analytics for marketing, clinical trials, or ...

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Remote Machine Learning Engineer information

See Worcester, MA salary details

$31.4K

$128.3K

$192.8K

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

As of Jul 8, 2026, the average yearly pay for remote machine learning engineer in Worcester, MA is $128,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $154,400.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Worcester, MA? The most popular types of Machine Learning Engineer jobs in Worcester, MA are:
What job categories do people searching Remote Machine Learning Engineer jobs in Worcester, MA look for? The top searched job categories for Remote Machine Learning Engineer jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Remote Machine Learning Engineer jobs? Cities near Worcester, MA with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Worcester, MA as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $128,305 per year, or $61.7 per hour.
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 17 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,274 frontline employees who took The Breakroom Quiz

80th of 103 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 ourselvesaccountable 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 fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing 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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