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Entry Level Machine Learning Engineer Jobs in Worcester, MA

Xometry

Machine Learning Intern

Waltham, MA · Hybrid

$27/hr

As a Machine Learning Intern at Xometry, you'll work on real-world projects that directly impact our AI-driven solutions, collaborate with experienced machine learning engineers, and learn how to ...

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Entry Level Machine Learning Engineer information

See Worcester, MA salary details

$29.9K

$69.2K

$117.7K

How much do entry level machine learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for entry level machine learning engineer in Worcester, MA is $69,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $78,300.00 per year, depending on experience, location, and employer.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
More about Entry Level Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Worcester, MA? The most popular types of Machine Learning Engineer jobs in Worcester, MA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Worcester, MA? For Entry Level Machine Learning Engineer jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Worcester, MA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Worcester, MA with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Worcester, MA as of May 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, 1% Contract, and 1% Nights. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $69,211 per year, or $33.3 per hour.

Senior Machine Learning Engineer

National Grid

Waltham, MA • On-site

$154.61K/yr

Other

Posted 15 days ago

Job description

About us

At National Grid we are committed to delivering safe and reliable energy to the customers and communities we serve. We are one of the largest investor-owned energy companies in the world. We are proud of the contributions our work and our people make to the prosperity and wellbeing of our customers, communities, and investors.

Job Purpose

Assist with designing the enterprise AI platform. Build and maintain the AI platform. Develop platform tooling (e.g., internal conda library, CLI tool for project setup, and provisioning infrastructure) for the Data Science team. Work with data scientists to understand their data needs and put together data pipelines to ingest data. Work with data scientists to take model prototypes to production. Mentor and train junior team members. Work with internal IT teams (security, Cloud, Global Active Directory, Architecture, Networking, etc.) to advance the team's projects. Enhance code deployment lifecycle. Improve model monitoring frameworks. Refine project operations documentation. Design, provision, and maintain the cloud infrastructure needed to support Data Engineering, Data Science, Machine Learning Engineers, and Machine Learning Operations. Write high-quality code that has high test coverage. Participate in code reviews to help improve code quality. Work closely with IT to stay up to date on upcoming changes to National Grid's infrastructure.

Qualifications

Bachelor's degree, or foreign degree equivalent, in Computer Science, Data Science, STEM major, or a related degree, and 4 years of experience in a related occupation required.  The position also requires: 3 years in AI/ML Engineering and Cloud Infrastructure work; 3 years experience in Python including Pandas & scikit-learn, and SQL; 3 years experience in software engineering; 3 years of experience in Git and GitHub; 2 years of experience in Terraform; and 2 years experience with modern security and networking principles and standards. Telecommuting may be permitted. When not telecommuting, must report/appear into/at the National Grid USA Service Company, Inc. offices in Waltham, MA. $154,606 - $154,606 per year.

National Grid USA Service Company, Inc. will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a background check and drug screen (as applicable).

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