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

Principal Data Engineer

Hartford, CT · On-site +1

$147K - $288K/yr

Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design;End-to-end data science lifecycle/workflow;Product management in a ...

Associate Bus Data Analysis

Hartford, CT · On-site +1

$54K - $81K/yr

Bachelor's Degree in Business preferred This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Hartford, CT) will have the expectation of ...

Software Engineer

Hartford, CT · Remote

$72K - $130K/yr

If you reside near Hartford, CT , you'll enjoy the flexibility of a hybrid-remote position* as you take on some tough challenges. Primary Responsibilities: * Design, develop, and deploy AI-powered ...

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Remote Machine Learning information

See Springfield, MA salary details

$25.4K

$42.4K

$87.7K

How much do remote machine learning jobs pay per year?

As of Jul 3, 2026, the average yearly pay for remote machine learning in Springfield, MA is $42,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,800.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

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.

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.

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.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
What are the most commonly searched types of Machine Learning jobs in Springfield, MA? The most popular types of Machine Learning jobs in Springfield, MA are:
What job categories do people searching Remote Machine Learning jobs in Springfield, MA look for? The top searched job categories for Remote Machine Learning jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Remote Machine Learning jobs? Cities near Springfield, MA with the most Remote Machine Learning job openings:
Principal Data Engineer

Principal Data Engineer

CVS Health

Hartford, CT • On-site, Remote

$147K - $288K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,271 frontline employees who took The Breakroom Quiz

78th of 101 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 Hartford, CT: Principal Data Engineer to build, develop, and maintain cloud-native software web applications and systems in support of CVS business needs and end customers. Duties include: assist with cloud-native application development, web development, API integration and scaling them in real time to meet internal users and end-customer customer needs; participate in entire software lifecycle development, testing, CI/CD and production operations; develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case; and mentor junior Cloud Engineers. Telecommuting available. Multiple positions. Requirements: Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field and five (5) years of progressive, postbaccalaureate experience in the job offered or related occupation. Requires five (5) years of experience in each of the following:Software development lifecycle (SDLC);CI/CD, Jenkins, GIT, or DevOps;Java, Python, or Node.js;XML, JSON, HTML, CSS, or JavaScript;Agile methodologies or SAFe Software Development Principles;Angular, JavaScript, React, jQuery, Ajax, Bootstrap, or Backbone;REST, SOAP, or Web Service APIs;Docker or Kubernetes;Hadoop and Hive;Spark, PySpark, or Scala;Airflow, Kafka, Hbase, Pig, MySQL, or NoSQL;Unix, Linux, or Shell scripting;Developing backend services, performing code reviews, and collaborating with peers on software development solutions;Contributing to large-scale applications development, data science, or data analytics projects;Designing data models and solutions for analytical and reporting use cases;Big Data implementation;Developing data science products;Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design;End-to-end data science lifecycle/workflow;Product management in a large, matrixed organization with many internal partners;Working with UI/UX teams to develop wireframes and prototypes based on end user feedback and human centered design;Healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy; andSupporting large data, analytics, and technology modernization initiatives. Pay Range: $147430.00/year to $288400.00/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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