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Contract Machine Learning Engineer Jobs in Grafton, MA

Machine Learning Engineer

Boston, MA ยท On-site +1

$136K - $225K/yr

Apply standard software engineering practices, including version control, code reviews, and ... contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat ...

Senior Machine Learning Engineer

Wellesley, MA ยท On-site

$111K - $222K/yr

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of data science and AI products in the journey. In this role, you'll leverage your engineering ...

As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will ...

About the role You'll be the founding ML engineer who owns our matching algorithms from exploration ... Real ranking and matching modeling fluency - learning-to-rank, retrieval and re-rank patterns, not ...

Senior Machine Learning Engineer

Natick, MA ยท On-site

$115K - $225K/yr

Cognex is a global leader in the exciting and growing field of machine vision. Our employees ... Job Summary We are seeking an experienced AI/ML engineer with strong research and developmentskills ...

We are looking for a staff-level machine learning engineer with deep research and data science expertise to lead marketplace intelligence and demand optimization initiatives. About the Role This role ...

We are looking for a staff-level machine learning engineer with deep research and data science expertise to lead marketplace intelligence and demand optimization initiatives. About the Role This role ...

Showing results 21-40

Contract Machine Learning Engineer information

See Grafton, MA salary details

$31.9K

$130.4K

$195.9K

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

As of Aug 19, 2026, the average yearly pay for contract machine learning engineer in Grafton, MA is $130,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

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 Grafton, MA?

The most popular types of Machine Learning Engineer jobs in Grafton, MA are:

What are popular job titles related to Contract Machine Learning Engineer jobs in Grafton, MA?

For Contract Machine Learning Engineer jobs in Grafton, MA, the most frequently searched job titles are:

What cities near Grafton, MA are hiring for Contract Machine Learning Engineer jobs?

Cities near Grafton, MA with the most Contract Machine Learning Engineer job openings:

Machine Learning Engineer

Redhat

Boston, MA โ€ข On-site, Remote

$136K - $225K/yr

Full-time

Re-posted 11 days ago


Job description

*Telecommuting permitted: work may be performed within normal commuting distance to the Red Hat, LLC office in Boston, MA.

Refactor existing Python code to improve clarity, robustness, performance, and long-term maintainability. Design and implement modular, reusable components to support evolving technical requirements.

What You Will Do:

  • Debug and resolve issues in Python applications by analyzing logs, data, and runtime behavior. Write clear, well-documented code and maintain technical documentation for ongoing development and knowledge-sharing.
  • Apply standard software engineering practices, including version control, code reviews, and collaborative development workflows.
  • Implement basic testing and validation to ensure correctness and reliability of Python code.
  • Collaborate with other engineers and technical stakeholders to review designs, discuss tradeoffs, and iterate implementations.
  • Translate experimental or research-oriented code into maintainable, production-quality Python modules suitable for use in shared codebases.
  • Support experimental work by implementing simplified or adapted versions of methods described in research papers for evaluation purposes.

What You Will Bring:

  • Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Mathematics or related field and two (2) years of experience in the job offered or related role.
  • Must have two (2) years of experience with: developing, refactoring, and maintaining Python codebases; applying standard software engineering practices, including version control, code reviews, and collaborative development workflows; implementing basic testing and validation techniques to ensure correctness and reliability of software; designing and implementing modular, reusable software components to support evolving technical requirements; and debugging and resolving issues in Python applications through analysis of logs, data, and runtime behavior.
  • Must have one (1) year of experience implementing simplified or adapted versions of methods described in research papers for evaluation or experimental purposes.

#LI-DNI

The salary range for this position is $136,320 - $225,090/year. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.