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Remote Machine Learning Jobs in Rhode Island (NOW HIRING)

Data Warehousing Analyst

Providence, RI · On-site +1

$83K - $124K/yr

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid time off. We provide tuition reimbursement and assist with student-loan repayment. We offer health ...

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Remote Machine Learning information

See Rhode Island salary details

$25K

$41.7K

$86.2K

How much do remote machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote machine learning in Rhode Island is $41,703.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 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 Rhode Island? The most popular types of Machine Learning jobs in Rhode Island are:
What are popular job titles related to Remote Machine Learning jobs in Rhode Island? For Remote Machine Learning jobs in Rhode Island, the most frequently searched job titles are:
What cities in Rhode Island are hiring for Remote Machine Learning jobs? Cities in Rhode Island with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Rhode Island as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $41,703 per year, or $20 per hour.

Data Warehousing Analyst

Bcbsri

Providence, RI • On-site, Remote

$83K - $124K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 6 days ago


Job description

Pay Range:

$83,200.00 - $124,800.00 

Please emailHR_Talent_AcquisitionTeam@bcbsri.orgif you are a candidate seeking a reasonable accommodation for the application and/or interview process.

At BCBSRI, our greatest resource is our people.

We come from varying backgrounds, different cultures, and unique experiences. We are hard-working, caring, and creative individuals who collaborate, support one another, and grow together. Passion, empathy, and understanding are at the forefront of everything we do-not just for our members, but for our employees as well.


We recognize that to do your best work, you have to be your best self.
It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid time off. We provide tuition reimbursement and assist with student-loan repayment. We offer health, dental, and vision insurance as well as programs that support your mental health and well-being. We pay competitively, offer bonuses and investment plans, and are committed to growing and developing our employees.


Our culture is one of belonging.
We strive to be transparent and accountable. We believe in equipping our associates with the knowledge and resources they need to be successful. No matter where you're at in the organization, you're an integral part of our team and your input, thoughts, and ideas are valued.

Join others who value a workplace for all.
We appreciate and celebrate everything that makes us unique, from personal characteristics to past experiences. Our different perspectives strengthen us as an organization and help us better serve all Rhode Islanders.

We're dedicated to serving Rhode Islanders.
Our focus extends beyond providing access to high-quality, affordable, and equitable care. To further improve the health and well-being of our fellow Rhode Islanders, we regularly roll up our sleeves and get to work (literally) in communities all across the state-building homes, working in food pantries, revitalizing community centers, and transforming outdoor spaces for children and adults. Because we believe it is our collective responsibility to uplift our fellow Rhode Islanders when and where we can, our associates receive additional paid time to volunteer.

 

Why this job matters:

Analyze, define, maintain, and manage business data contained within the enterprise data warehouse. Map and verify data from new data sources into the warehouse, ensuring the integrity of the data. Maintain operational and user-facing data documentation.

What you will do:

  • Work with business stakeholders to understand business requirements for changes to business processes, policies and information systems to shape their needs into documentation (System Requirement Specification, Source to Target Mapping) that developers and testers can use to create the proper technical solution.
  • Profile, analyze, and transform data in existing datastores and work with third party vendors to understand their capabilities and data sources in order to shape functional requirements and source to target mapping rules for the development team.
  • Work with the business community to communicate and validate functional designs (ingestion, transformation, extraction) for data ingestion or extraction to ensure proper functionality of ELT processes.
  • Support the business and technical stakeholders throughout projects. Help them understand what data is available in the data warehouse and ingest new data sources. Serve as a liaison and translator between end-user community and the corporate technical resources. Participate in SDLC activities including requirements refinement, design reviews, testing support, and production validation.
  • Define and maintain user-facing data documentation and definitions for the data warehouse.
  • Analyze and improve operational processes and documentation related to maintaining the data warehouse.
  • Define data validation rules and perform data reconciliation to ensure accuracy and completeness of data within the warehouse. Investigate and remediate data quality issues in partnership with various teams.
  • Perform other duties as assigned.

What you need to succeed:

  • Bachelor's degree in Computer Science, Information Science or related field; or an equivalent combination of education and experience
  • Three to five years experience with database management systems, business intelligence tools and systems
  • Data warehouse or data mart experience
  • Experience on an operations or development team
  • Experience with system analysis, data engineering, or equivalent, with project management and SDLC experience
  • Advanced analytical skills, with the ability to interpret and synthesize complex business processes and data sets
  • Intermediate SQL skills for analysis, validation, and troubleshooting
  • Data modeling
  • Familiarity with Python
  • Familiarity with cloud computing concepts
  • Familiarity with data dictionaries and metadata repositories
  • Familiarity with various Business Intelligence tools
  • Good business acumen and political savvy
  • Knowledge of business process improvement techniques and strategies
  • Excellent verbal and written communications skills
  • Negotiation skills
  • Presentation skills
  • Decision-making skills
  • Good problem-solving skills
  • Ability to interface with employees with different skillsets
  • Ability to effectively navigate ambiguous situations with limited direction
  • Excellent organizational skills and ability to successfully prioritize multiple tasks
  • Ability to handle multiple priorities/projects

The extras:

  • Master's in Business Administration or Master's degree in Computer Science, Information Systems or other related field
  • HIAA Certification
  • Knowledge of the health insurance industry and systems
  • Experience with data warehouse platforms, ETL, and BI tools
  • Experience with data governance
 

Location:
BCBSRI is headquartered in downtown Providence, conveniently located near the train station and bus terminal. We actively support associate well-being and work/life balance and offer the following schedules, based on role:

  • In-office: onsite 5 days per week
  • Hybrid: onsite 2-4 days per week
  • Remote: onsite 0-1 days per week. Permitted to reside in the following states, pending approval from the Human Resources Department: Arizona, Connecticut, Florida, Georgia, Louisiana, Massachusetts, North Carolina, Oklahoma, Rhode Island, South Carolina, Texas, Virginia

Our culture of belonging at Blue Cross & Blue Shield of Rhode Island (BCBSRI) is at the core of all we do, and it strengthens our ability to meet the challenges of today's healthcare industry. BCBSRI is an equal opportunity employer.

The law requires an employer to post notices describing the Federal laws. Please visitwww.eeoc.gov/know-your-rights-workplace-discrimination-illegal to view the "Know Your Rights" poster.