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Remote Machine Learning Jobs in Rhode Island (NOW HIRING)

This is a role for engineers who enjoy asking "why," digging into complex problems, and continuously learning. This remote role welcomes candidates anywhere in the US. Preference will be given to ...

This is a role for engineers who enjoy asking "why," digging into complex problems, and continuously learning. This remote role welcomes candidates anywhere in the US. Preference will be given to ...

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 ...

Machine learning, statistical analysis, or predictive modeling; Software development lifecycle (SDLC); Writing application code and deploying to production; Developing backend services, performing ...

Sr. Data Scientist

Woonsocket, RI · On-site +1

$98K - $166K/yr

... machine learning, and statistical analyses. Telecommuting available. Multiple positions. Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics ...

Software Development Engineer

Woonsocket, RI · On-site +1

$109K - $158K/yr

Tableau and Machine learning; Big Data and Spark; Hadoop platform (HDFS); Cloud based platforms (Goggle Collaboratory, GCP, or AWS); and Data structures and algorithms. Pay Range: $109512.00/year to ...

Machine learning operations such as model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, and orchestration; Quantitative analysis techniques, including ...

Data Engineer

Woonsocket, RI · On-site +1

$141K/yr

... machine learning, and statistical analyses. Telecommuting available. Multiple Positions. Requirements: Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information ...

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

New

Data Engineer

Woonsocket, RI · On-site +1

$130K - $144K/yr

Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design; and Developing and deploying predictive models or ML systems in a ...

Data Engineer

Woonsocket, RI · On-site +1

$130K - $144K/yr

Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design; and Developing and deploying predictive models or ML systems in a ...

Data Engineer

Woonsocket, RI · On-site +1

$141K/yr

... machine learning, and statistical analyses. Telecommuting available. Multiple Positions. Requirements: Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information ...

Sr. Data Engineer

Woonsocket, RI · On-site +1

$130K - $203K/yr

... and machine learning infrastructure design; • \tWriting Extract/Transform/Load (ETL) processes; • \tCloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); • ...

Sr. Data Engineer

Woonsocket, RI · On-site +1

$130K - $166K/yr

Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design; and Healthcare data management processes and techniques, including ...

Staff Data Engineer

Woonsocket, RI · On-site +1

$179K - $236K/yr

... machine learning infrastructure design; • Developing and deploying predictive models or ML systems in a cloud environment (GCP, AWS or Amazon); and • Healthcare data management processes and ...

Sr. Data Engineer

Woonsocket, RI · On-site +1

$130K - $166K/yr

Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design; and Healthcare data management processes and techniques, including ...

Staff Data Engineer

Woonsocket, RI · On-site +1

$179K - $236K/yr

Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design; Developing and deploying predictive models or ML systems in a cloud ...

Sr. Data Engineer

Woonsocket, RI · On-site +1

$130K - $203K/yr

Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design;Writing Extract/Transform/Load (ETL) processes;Cloud technologies:

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Showing results 1-20

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 Jun 23, 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 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 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 job categories do people searching Remote Machine Learning jobs in Rhode Island look for? The top searched job categories for Remote Machine Learning jobs in Rhode Island 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:
Principal Data Analyst- Capital Markets

Principal Data Analyst- Capital Markets

Citizens

Johnston, RI • On-site, Remote

$140K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

Description

The Principal Data Analyst will serve as the Capital Markets Data & Analytics lead for Citizens Bank. This colleague will be responsible for designing, building, and operationalizing advanced analytics capabilities that power intelligence features for  Capital Markets bankers. This role sits at the intersection of data engineering, applied analytics, and product development-ensuring Capital Markets insights are deeply integrated into Banker facing capabilities.

The ideal candidate is a strategic, highly technical analytics professional capable of navigating complex data environments, translating business needs into scalable analytical assets, and partnering closely with product, engineering, and business stakeholders.

Key Responsibilities

Capital Markets Data Leadership

  • Own the endtoend analytical design for Capital Markets use cases (e.g., Debt Capital Markets, Equities Capital Markets, M&A Advisory and Global Market products )
  • Lead data exploration, profiling, and harmonization across multiple internal data sources (pipeline, pricing, positions, linelevel trades, customer exposures).
  • Develop a deep understanding of Capital Markets business processes, revenue drivers, and client engagement workflows.

Advanced Analytics & Feature Development

  • Design highquality, productionready data transformations and analytical layers used by machine learning, agentic and generative AI solutions.
  • Partner with modelers and data scientists to operationalize advanced models (e.g., propensity models, anomaly detection, revenue forecasting). 
  • Ensure Capital Markets analytics integrate seamlessly with core Capital Markets Data Infrastructure. 
  • Provide inputs and guidance into design and build of curated data model for Capital Markets data infrastructure including internal and market data sources. 
  • Translate analytical outputs into consumable banker facing insights, narratives using ML explainability and business domain.
  • Define and enforce data standards, data quality checks, lineage, and issueresolution processes for Capital Markets data domains. 
  • Build analytical features that support Banker intelligence: crosssell predictions, deal propensity, riskadjusted returns, volatilitydriven customer triggers, liquidity and ratesensitivity indicators.
  • Partner with Data Engineering and Governance teams to ensure compliance with regulatory and audit requirements.
  • Serve as primary analytical partner to Capital Markets product leaders, deal teams, and sales managers.
  • Collaborate with Engineering, Product, Digital, and Enterprise Data teams to prioritize work, define requirements, and build scalable components
  • Communicate analytical insights and design recommendations to senior leadership.

Required Qualifications

  • 7-10+ years of experience in data analytics, data product development, or applied quantitative roles.
  • Deep familiarity with Capital Markets data structures and product sets ((e.g., Debt Capital Markets, Equities Capital Markets, M&A Advisory and Global Market products )
  • Strong SQL and Python skills; experience with cloud data platforms (Snowflake, AWS, Databricks).
  • Demonstrated experience building complex analytical datasets and supporting AI/ML pipelines.
  • Ability to translate ambiguous business problems into concrete analytical requirements and deliverables.
  • Exceptional communication skills with ability to interface with both technical and executive audiences.
  • Prior experience in Investment Banking or Capital Markets analytics environment.

Preferred Qualifications

  • Experience supporting AI/ML products, market data (e.g. Bloomberg, Factset, Pitchbook etc). 
  • Familiarity with CRM systems, banker workflows, and RM enablement tools.
  • Experience integrating analytics into SaaS, cloud, or microservicesbased platforms.

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on-site, 1 day remote

Pay Transparency

The salary range for this position is $140,000-$170,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits .

#LinkedIn-Citizens1

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST