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Remote Senior Machine Learning Engineer Jobs in Coventry, RI

Sr Machine Learning Engineer

Woonsocket, RI · On-site +1

$130K - $203K/yr

CVS Shared Services Resources LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Sr Machine Learning Engineer to design and implement ML solutions that automate pharmacy ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Sr. Data Engineer

Woonsocket, RI · On-site +1

$109K - $185K/yr

... Woonsocket, RI: Sr. Data Engineer to Design, build, and manage large-scale data pipelines and ... Working with machine learning platforms or MLOps infrastructure; Relational databases such as ...

Sr. Data Scientist

Woonsocket, RI · On-site +1

$98K - $185K/yr

... programming languages and visualization software to explore, analyze, and interpret large volumes ... Machine learning, statistical analysis, and predictive modeling;Developing and deploying predictive ...

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Remote Senior Machine Learning Engineer information

See Coventry, RI salary details

$73.6K

$139.6K

$187.1K

How much do remote senior machine learning engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote senior machine learning engineer in Coventry, RI is $139,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,300.00 and $157,300.00 per year, depending on experience, location, and employer.

How do Remote Senior Machine Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a track record of impactful projects, and expertise in tools like TensorFlow or PyTorch.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a Remote Senior Machine Learning Engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a Remote Senior Machine Learning Engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

What engineers make $300,000 a year?

Senior machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and work at large tech companies or in specialized industries. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand markets.

Will MLE be replaced by AI?

As a Senior Machine Learning Engineer, the role involves designing, developing, and maintaining AI systems, which currently require human expertise. While AI tools can automate certain tasks, the need for skilled professionals to interpret data, ensure ethical use, and improve models remains essential. AI is more likely to augment rather than replace the responsibilities of MLEs in the foreseeable future.

What engineers make $200,000 a year?

Senior machine learning engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and proficiency with tools like TensorFlow or PyTorch. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.
What cities near Coventry, RI are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Coventry, RI with the most Remote Senior Machine Learning Engineer job openings:
Sr Machine Learning Engineer

Sr Machine Learning Engineer

CVS Health

Woonsocket, RI • On-site, Remote

$130K - $203K/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: CVS Shared Services Resources LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Sr Machine Learning Engineer to design and implement ML solutions that automate pharmacy operations and improve patient care outcomes. Partner directly with retail pharmacy stakeholders to identify automation opportunities and define ML solution requirements. Conduct feasibility analysis using Snowflake data warehouse to assess data availability and quality for proposed ML initiatives. Present technical findings and recommendations to business teams, translating complex ML concepts into actionable insights. Lead requirements gathering sessions with Lead Data Scientist to scope pharmacy-specific ML projects. Design and develop ML models for pharmacy growth and operations to drive incremental scripts and operational efficiencies. Build and optimize feature engineering pipelines for pharmacy-specific use cases. Implement diverse ML approaches including deep learning (LSTM, GRU, BERT, Transformers), gradient boosting (XGBoost, LightGBM), neural networks, ensemble methods, anomaly detection algorithms, and reinforcement learning for sequential decision-making. Leverage AutoML platforms for rapid prototyping and baseline model development. Conduct model evaluation and selection through systematic experimentation in Jupyter notebooks. Develop and maintain Kubeflow pipelines for model training and deployment workflows. Deploy models to development and testing environments on Azure cloud infrastructure. Support potential migration from Azure to GCP and adoption of Model Garden framework. Collaborate with Data Engineering team on infrastructure requirements and data pipeline dependencies. Document technical specifications and model performance metrics. Ensure compliance with healthcare data regulations and pharmacy safety standards. Telecommuting available. Multiple Positions.
Requirements: Master's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following:
CI/CD, Jenkins, GIT, and DevOps;
JavaScript; Python, and Node.js;
Docker or Kubernetes;
R, Spark, and PyData ecosystem;
Domain support for healthcare or retail organization;
Developing backend services, performing code reviews, and collaborating with peers on software development solutions;
Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation;
Quantitative analysis techniques, including clustering, regression, and pattern recognition;
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 cloud environment (GCP, AWS, or Azure).
Pay Range: $130832.00/year to $203940.00/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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