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Contract Machine Learning Engineer Jobs in Rhode Island

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 ...

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Contract Machine Learning Engineer information

See Rhode Island salary details

$30.8K

$126.1K

$189.5K

How much do contract machine learning engineer jobs pay per year?

As of Jul 7, 2026, the average yearly pay for contract machine learning engineer in Rhode Island is $126,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $151,800.00 per year, depending on experience, location, and employer.

What is a Contract Machine Learning Engineer job?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a Contract Machine Learning Engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the Contract Machine Learning Engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

What are the most commonly searched types of Machine Learning Engineer jobs in Rhode Island? The most popular types of Machine Learning Engineer jobs in Rhode Island are:
What are popular job titles related to Contract Machine Learning Engineer jobs in Rhode Island? For Contract Machine Learning Engineer jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Engineer jobs in Rhode Island look for? The top searched job categories for Contract Machine Learning Engineer jobs in Rhode Island are:
What cities in Rhode Island are hiring for Contract Machine Learning Engineer jobs? Cities in Rhode Island with the most Contract Machine Learning Engineer job openings:
Infographic showing various Contract Machine Learning Engineer job openings in Rhode Island as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,105 per year, or $60.6 per hour.
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 15 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,273 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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