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Remote Machine Learning Jobs in Cranston, RI (NOW HIRING)

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Software Engineer

Providence, RI ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Backend Software Engineer

Providence, RI ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Back End Developer

New Bedford, MA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Mobile Software Engineer

New Bedford, MA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Frontend Engineer

New Bedford, MA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Application Developer

New Bedford, MA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Software Developer

Providence, RI ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Showing results 1-20

Remote Machine Learning information

See Cranston, RI salary details

$24.9K

$41.6K

$86.1K

How much do remote machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for remote machine learning in Cranston, RI is $41,650.00, 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 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 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 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 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.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

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 job categories do people searching Remote Machine Learning jobs in Cranston, RI look for? The top searched job categories for Remote Machine Learning jobs in Cranston, RI are:
What cities near Cranston, RI are hiring for Remote Machine Learning jobs? Cities near Cranston, RI with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Cranston, RI as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 49% Full Time, 47% Part Time, 1% Temporary, and 1% Contract. Highlights an 73% Physical, and 27% Remote job distribution, with an average salary of $41,650 per year, or $20 per hour.
Principal AI Engineer

Principal AI Engineer

eClinical Solutions

Mansfield, MA โ€ข On-site, Remote

Other

Posted 4 days ago


Job description

eClinical Solutions is transforming clinical development withย elluminate, our Clinical Data Cloud, helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle-accelerating innovation that ultimately improves patient outcomes.

Our engineering teams buildย enterprise-grade, revenue-generating productsย at the intersection ofย cloud, data, analytics, and emerging AI technologies. If you're excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it.

You will make an impact

The Principal AI Engineer is primarily responsible for the design, implementation, and support of AI-powered and agentic capabilities embedded in the company's elluminate software platform. These capabilities facilitate our clients' work on clinical trials. The Principal AI Engineer will need strong analytical and technical skills to design and build production-grade solutions using Large Language Models (LLMs), agentic frameworks, and modern Deep Learning (DL) and Machine Learning (ML) techniques in close collaboration with the company's business clients. In addition, the candidate must serve as a Subject Matter Expert on the application of LLMs, agentic AI, and DL/ML to healthcare structured and unstructured data, both internally and with the company's partners and clients.

Your day to day:

  • Actively works with product and engineering to design and build breakthrough AI-powered and agentic capabilities for our clients using LLMs, agentic workflows, and modern DL/ML techniques
  • Design, prototype, develop, and test LLM-powered applications, agentic workflows, and predictive models using Python and modern AI frameworks to power critical product capabilities
  • Work with both structured and unstructured clinical trial data, including patient reports, trial documentation, and free text notes
  • Ideate, design, prototype, and develop solutions such as multi-agent workflows, RAG-based applications, document intelligence and summarization pipelines, and intelligent process automation
  • Design, prototype, and develop solutions using modern AI frameworks and libraries such as LangChain, LangGraph, LlamaIndex, PyTorch, Hugging Face Transformers, and scikit-learn
  • Champion AI-driven development practices across the team - using AI coding assistants and agentic dev tools to accelerate prototyping, code generation, testing, and review
  • Build and maintain LLM, agentic, and ML pipelines, including prompt engineering, orchestration logic, and evaluation harnesses
  • Apply relevant evaluation frameworks, guardrails, and statistical measures for performance, quality, and error analysis of AI systems
  • Drive the entire workflow of multiple AI engineering projects
  • Enhance the experience and efficiency of our elluminate software platform users
  • Work with our Engineering team to integrate AI capabilities into our elluminate software platform
  • Work with the MLOps/AIOps team to deploy LLM, agentic, and ML systems in production and to track performance, cost, and quality
  • Consult with and assist our software development and biometrics teams to consume the results of these AI systems
  • Ensure data quality throughout all stages of acquisition and processing
  • Serve as Subject Matter Expert in Generative AI, agentic systems, and applied Machine Learning
  • Keep up to date with the latest research and tooling in LLMs, agentic AI, and ML
  • Educate other team members in modern AI techniques and best practices
  • Publish and present work and contribute to company's intellectual property
  • Other duties as assigned

Qualifications:ย 

  • Bachelor's Degree in Computer Science, Engineering, Math, Physics, or a related field; Master's or Doctorate degree preferred
  • Accomplished engineer with deep technical credibility and hands-on implementation skills building LLM-powered applications, agentic workflows, and production AI systems; familiarity with modern Deep Learning and Machine Learning techniques (transformers, RAG, fine-tuning, evaluation)
  • Extensive experience shipping production software in a healthcare or life-sciences setting; comfortable working alongside clinicians and domain experts
  • In-depth knowledge and experience working with healthcare and/or clinical trials data
  • Expert knowledge of Python and modern AI frameworks (LangChain, LangGraph, LlamaIndex, or equivalents); proficiency with API development, system integration, and at least one major cloud platform (AWS, Azure, or GCP)

Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!

eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards celebrating our exceptional company vision, values, and work-life balance. See all the details here:ย https://topworkplaces.com/company/eclinical-solutions/

eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!

We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.