1

Machine Learning Engineer Jobs in Framingham, MA

Machine Learning Engineer

Boston, MA · On-site

$136.32 - $225.09/hr

## Machine Learning EngineerApplyremote type: Hybridlocations: Bostontime type: Full timeposted on ... Apply standard software engineering practices, including version control, code reviews, and ...

Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and ...

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

Senior Machine Learning Engineer

Andover, MA · On-site

$105K - $145K/yr

Rockstar Games is on the lookout for a skilled Senior Machine Learning Engineer with strong software development skills who is passionate about games, big data and Machine Learning to join a team ...

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...

Lead Machine Learning Engineer

Cambridge, MA

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...

Base pay range $130,000.00/yr - $215,000.00/yr Direct message the job poster from Alsym Energy Alsym Energy is seeking a Machine Learning Scientist or Engineer to design, build, and deploy agentic AI ...

Showing results 41-60

Machine Learning Engineer information

See Framingham, MA salary details

$32.4K

$132.5K

$199K

How much do machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning engineer in Framingham, MA is $132,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $159,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Framingham, MA? The most popular types of Machine Learning Engineer jobs in Framingham, MA are:
What are popular job titles related to Machine Learning Engineer jobs in Framingham, MA? For Machine Learning Engineer jobs in Framingham, MA, the most frequently searched job titles are:
What cities near Framingham, MA are hiring for Machine Learning Engineer jobs? Cities near Framingham, MA with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Framingham, MA as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $132,454 per year, or $63.7 per hour.

Machine Learning Engineer

Red Hat, Inc.

Boston, MA • On-site

$136.32 - $225.09/hr

Other

Re-posted 3 hours ago


Red Hat rating

7.9

Company rating: 7.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

129th of 242 rated software companies


Job description

## Machine Learning EngineerApplyremote type: Hybridlocations: Bostontime type: Full timeposted on: Posted Todayjob requisition id: R-058400\*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-DNIThe salary range for this position is $136,320 - $225,090/year. Actual offer will be based on your qualifications. #J-18808-Ljbffr

What Red Hat employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Red Hat logo

About Red Hat

Sourced by ZipRecruiter

Red Hat, Inc. is an American software company that provides open source software products to enterprises and is a subsidiary of IBM. Founded in 1993, Red Hat has its corporate headquarters in Raleigh, North Carolina, with other offices worldwide. Red Hat has become associated to a large extent with its enterprise operating system Red Hat Enterprise Linux. With the acquisition of open-source enterprise middleware vendor JBoss, Red Hat also offers Red Hat Virtualization (RHV), an enterprise virtualization product. Red Hat provides storage, operating system platforms, middleware, applications, management products, and support, training, and consulting services. Red Hat creates, maintains, and contributes to many free software projects. It has acquired several proprietary software product codebases through corporate mergers and acquisitions and has released such software under open source licenses. As of March 2016, Red Hat is the second largest corporate contributor to the Linux kernel version 4.14 after Intel.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

Raleigh, NC, US

Year founded

1993

Social media