1

Junior Machine Learning Engineer Jobs in West Springfield, MA

Staff Software Engineer - AI

Hartford, CT · On-site

$127K - $191K/yr

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be ... Design and develop machine learning techniques that allow agents to learn from experience and adapt ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

NGA AI Engineer Manager

Hartford, CT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Train and mentor junior machinists on setup, operation, and programming techniques * Perform routine machine maintenance to keep equipment running efficiently * Maintain a safe, clean, and organized ...

Showing results 41-60

Junior Machine Learning Engineer information

See West Springfield, MA salary details

$33.4K

$71.5K

$109.1K

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

As of Aug 16, 2026, the average yearly pay for junior machine learning engineer in West Springfield, MA is $71,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $79,700.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What cities near West Springfield, MA are hiring for Junior Machine Learning Engineer jobs?

Cities near West Springfield, MA with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in West Springfield, MA as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $71,546 per year, or $34.4 per hour.

AI/ML Software Engineer P2 (Onsite)

Raytheon Technologies

East Hartford, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Date Posted:
2026-07-20
Country:
United States of America
Location:
US-CT-EAST HARTFORD-OBG ~ 400 Main St ~ BLDG OBG
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security Clearance Type:
None/Not Required
Security Clearance Status:
Not Required
At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.
What Will You Do
  • Work with the AI/ML team to develop and apply novel machine learning frameworks and methodologies supporting the design and evaluation of turbine components for the Hot Section Engineering organization.
  • Communicate technical solutions and insights to internal/external customers and organization leadership.
  • Design, build, test, deploy, and monitor machine learning models for physics-based simulations, fleet analytics, and component design.
  • Collaborate across RTX AI/ML teams to strengthen the corporate level AI/ML initiatives and infrastructure.

Qualifications You Must Have
  • Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM).
  • 2+ years of engineering experience or an advanced degree with 1+ years of experience.

Qualifications We Prefer
  • Familiarity with high-performance distributed computing.
  • Knowledge of state-of-the-art architecture, machine learning techniques, and algorithms with experience developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, JAX).
  • Experience with solving and using machine learning for real world problems involving scientific & engineering simulations (e.g., structural, CFD, thermal).
  • Strong Python programming skills and SQL proficiency

What We Offer:
  • Benefits
  • Relocation Assistance

Learn More & Apply Now!
Hot Section Engineering (HSE)
Hot Section Engineering is responsible for the design, development, technology maturation and in service support of all diffuser cases, combustors, turbines (vanes, blades, rotors and cases), augmenters (military), nozzles and associated fuel systems for all military, commercial and industrial engine models and radial auxiliary power units.
Technical disciplines in HSE include Project Engineering, Mechanical Design, Structural Analysis, Durability and Product Definition.
What is my role type?
In addition to transforming the future of flight, we are also transforming how and where we work. We've introduced role types to help you understand how you will operate in our blended work environment. This role is:
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines.
Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms