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

Ocean Spray

Data Visualization Analyst

Lakeville, MA · On-site +1

$87K - $120K/yr

This role will: • Work across multiple business teams learning how they operate, understanding insights they need to make decisions • Analyze information from multiple data sources, external and ...

Bcbsri

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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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Providence, RI

Remote Machine Learning information

See Providence, RI salary details

$25.8K

$43K

$88.9K

How much do remote machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote machine learning in Providence, RI is $43,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,500.00 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.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Providence, RI? The most popular types of Machine Learning jobs in Providence, RI are:
What are popular job titles related to Remote Machine Learning jobs in Providence, RI? For Remote Machine Learning jobs in Providence, RI, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Providence, RI look for? The top searched job categories for Remote Machine Learning jobs in Providence, RI are:
What cities near Providence, RI are hiring for Remote Machine Learning jobs? Cities near Providence, RI with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Providence, RI as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $43,019 per year, or $20.7 per hour.
Data Visualization Analyst

Data Visualization Analyst

Ocean Spray

Lakeville, MA • On-site, Remote

$87K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Ocean Spray rating

9.2

Company rating: 9.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

4th of 396 rated food and drinks producers

Job description

Ocean Spray is hiring for a(n) Data Visualization Analyst! We're a team of farmers, thinkers, creators, and doers. Whatever your title, whatever your role - it always comes back to this: we're a farmer-owned co-op where everyone rolls up their sleeves to get the job done. Three maverick farmers started it all - and we've been making our own way ever since.
The Data Visualization Analyst role is designed to help the commercial teams extract, summarize and visualize relevant past performance metrics to drive future performance. It requires a creative thinker who has the ability to transform ideas into actionable tolls that help teams deliver their objectives. This role will:
• Work across multiple business teams learning how they operate, understanding insights they need to make decisions
• Analyze information from multiple data sources, external and internal to identify business drivers that affect growth and efficiency
• Design reports, tools and tracking mechanisms
• Translate ideas into tangible output
A Day in the Life...
• Delivering insights using compelling Power BI or SAC visualization techniques for business team.
• Ability to translate business needs into actionable reporting and visualization thru rapid prototyping and storytelling.
• Building models and designing experiments that seek to uncover insights that drive performance.
• Analyzing complex data made of unstructured, semi-structured and structured datasets to drive insights.
• Active participant in designing creative new ways to use data to help commercial team drive growth.
• Work in an environment with internal IT, business teams and external vendors to design and scale work-flows, templates and dashboards .
What We Are Looking For:
• BA/BS in computer science or related field or equivalent relevant experience, preferably with a focus on data visualization
• Minimum 5 years of related experience
• Extensive experience with Data Visualization using tools like PowerBI (preferred) and Tableau
• Demonstrate ability to work effectively with others within a complex, cross-functional and fast paced organization
• Excellent communication. Ability to present ideas and insights to business stakeholders
• CPG industry knowledge
Education:
Bachelor's or University Degree (Required)
Work Experience:
At least 3 Years of Experience
Annual Salary:
$87,400 - $120,230
The base salary range information above serves as a guideline of the position's typical hiring range. We value and appreciate what makes you unique and will consider a variety of factors when determining an offer. These factors include, but are not limited to, your skills and experience, external and internal benchmarks, as well as overall company considerations. Certain positions may be eligible for short-term and long-term incentive rewards. We also offer a competitive and comprehensive benefits program that supports all aspects of your health and well-being.
Benefits:
  • Complete insurance package on Day-1 that includes a plethora of health and wellness programs
    • Health, Dental, and Vision insurance
    • Health savings account
    • Flexible spending account
    • Life and accident insurance
    • Employee assistance program
    • Telehealth services
    • 1:1 health coaching
    • Supportive benefits for all the stages of your life
  • 401(k) with up to 6% Company matching; additional potential discretionary match at year-end
  • Short-Term Incentive/Performance bonuses
  • Flexible scheduling options
  • Vacation pay, up to three weeks of time (pro-rated for your first year of employment)
  • Holiday pay for 12 holidays
  • Career development and growth opportunities
  • Tuition/Education assistance programs
  • Access to LinkedIn Learning
  • Scholarship programs for children of employees
  • Parental leave
  • Bright Horizons Family Solutions - Back-up care, tutoring, etc.
  • Adoption assistance
  • Bereavement leave
  • Up to $300 fitness reimbursement
  • Up to $300 massage reimbursement
  • Employee appreciation events
  • Employee discounts
  • Charitable giving

Who We Are:
You might have our iconic cranberry juice in your fridge or have gotten into heated holiday debate about what's better - canned or fresh cranberry sauce. But did you know that the hardworking people growing the superfruit in our products are 700 family farmers that own our cooperative? They entrust us with what is most precious to them to create new and innovative products that will delight consumers and grow this beloved brand today and into the future.
Team members, farmers, consumers and communities alike--we value what makes us unique and strive to connect our farms to families for a better life by living our values:
  • Grower Mindset - We embrace our grower-owners innovative spirit and heritage through confidence, learning and focus on the future.
  • Sustainable Results - Guided by purpose, we are focused on delivering results for our grower-owners.
  • Integrity Above All - We are ethical, doing the right thing for our grower-owners, customers, consumers and each other
  • Inclusive Teamwork - We build diverse and inclusive teams that strengthen our cooperative.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
For MA Applicants - It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. Any employer who violates this law shall be subject to criminal penalties and civil liability.

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