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Machine Learning Jobs in Springfield, MA (NOW HIRING)

GenAI Lead

Hartford, CT · On-site

$55.75 - $76.50/hr

Lead the design development and deployment of machine learning and GenAI models in collaboration with AI Architects, Cloud Engineers and CRM Development Teams Architect end to end ML pipelines from ...

You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world challenges, working independently to scope problems, build and evaluate solutions, and bring them into ...

New

Staff Software Engineer - AI

Hartford, CT · On-site

$127K - $191K/yr

Design and develop machine learning techniques that allow agents to learn from experience and adapt over time. * Translate business requirements into agentic AI solutions. * Collaborate with data ...

Data Science Tutor

Northampton, MA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Hartford, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

CTIO AI Engineering Manager

Hartford, CT · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Showing results 41-60

Machine Learning information

See Springfield, MA salary details

$25.4K

$42.4K

$87.6K

How much do machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning in Springfield, MA is $42,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,800.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Springfield, MA?

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

What are popular job titles related to Machine Learning jobs in Springfield, MA?

For Machine Learning jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Machine Learning jobs in Springfield, MA look for?

The top searched job categories for Machine Learning jobs in Springfield, MA are:

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

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

Infographic showing various Machine Learning job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,394 per year, or $20.4 per hour.

Data Science Team Lead - Sr. Principal Engineer - Commercial DPHM P5 (Onsite)

Pratt & Whitney

East Hartford, CT

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Pratt & Whitney rating

8.7

Company rating: 8.7 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

18th of 72 rated aerospace companies


Job description

Date Posted:

2026-07-14

Country:

United States of America

Location:

US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here: https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

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 You Will Do:

Control & Diagnostic Systems (CDS) is a dynamic engineering organization focused on the development and certification of military and, commercial and industrial gas turbine engine control, and diagnostic systems. CDS is responsible for all aspects of Pratt & Whitney engine control and diagnostic system development including requirements analysis & definition, system & software architecture, algorithm design, and product software design, verification & validation. We integrate the control and diagnostic system design across other engine system modules and with the air vehicles and provide support throughout the complete engine product life cycle.

The Diagnostics, Prognostics & Health Management (DPHM) discipline within CDS develops and maintains systems that ingest and process engine data, tools that provide secure and efficient access, and analytics that generate critical insights and alerts to keep the commercial fleet operating reliably and efficiently.

Commercial DPHM is seeking a Data Science Technical Team Lead to guide the development of advanced diagnostics, prognostics, and engine health monitoring analytics supporting commercial fleet operations. This leader will drive technical direction, mentor a multidisciplinary data science team, and help shape the next generation of commercial health monitoring capabilities.

This role provides technical leadership in designing robust analytics, data science, machine learning, and AI solutions to solve complex engine‑health and physics‑based problems.

Success in this role requires expertise in statistics, data science, machine learning, and AI techniques, strong domain understanding, and the ability to collaborate closely with stakeholder teams to ensure models and analytics accurately reflect engine behavior and operational realities.

The position is based at the P&W East Hartford facility and is an onsite role.

Key Responsibilities:

  • Lead development of advanced DPHM analytics using statistical modeling, physics informed approaches, machine learning, and AI applied to operational fleet data.
  • Serve as the primary technical expert for the team’s most challenging analytical problems, shaping solutions from concept through validation and deployment.
  • Define and advance analytic methods, modeling standards, validation practices, and technical best practices across the Commercial DPHM data science team.
  • Provide technical mentoring, coaching, and review for other data scientists to strengthen overall team capability.
  • Collaborate across multidisciplinary teams to ensure analytics align with engine physics, system behavior, and customer needs.
  • Ensure deployed analytics meet expectations for accuracy, robustness, and reliability, and support continuous performance monitoring and improvement.
  • Contribute to long term analytic strategy, capability development, and roadmap planning for Commercial DPHM.

Qualifications You Must Have:

  • Bachelors' Degree Science, Technology, Engineering or Mathematics (STEM)
  • 10 years engineering experience or an advanced Degree with 7 years prior engineering experience.

Qualifications We Prefer:

  • Expertise in a variety of statistics, data science, machine learning, and AI techniques.
  • Expertise with Python and core data science/modeling libraries.
  • Experience developing analytics for operational, real-world, or safety-critical applications.
  • Expertise in analyzing, modeling, and interpreting time series data.
  • Experience with MLOps practices, including model versioning, automated testing, CI/CD for analytics, and managing models throughout their lifecycle.
  • Experience providing technical guidance or mentorship to other data scientists.
  • Experience deploying to cloud-based applications.
  • Experience deploying to edge compute hardware.
  • Knowledge of gas turbine engines and their operation.
  • Knowledge of and exposure to aerospace control and diagnostic systems.

What We Offer:

  • Benefits
  • Relocation Assistance

Learn More & Apply Now!

Department Overview:

Controls & Diagnostics Systems (CDS)

CDS develops complex, cyber-resilient control systems and software for commercial and military engines including power and thermal management Systems and auxiliary power units. CDS also develops advanced diagnostic & health management systems to monitor our products, forecast events and help facilitate MRO operations. With growing emphasis on sustainability, CDS is on the forefront of system development for hybrid and electric propulsion.

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 employees, as they are essential to the development of our products.

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 132,400 USD - 251,600 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.

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About Pratt & Whitney

Sourced by ZipRecruiter

Pratt & Whitney has a long history of leadership and innovation in the field of aviation propulsion. Our story begins in the 1920s and has flourished throughout the decades. We have continuously transformed and reinvented our businesses to offer superior products and services to our customers. In 1925, the Pratt & Whitney Aircraft Company was founded by Frederick B. Rentschler, pioneer of the air-cooled radial engine design which enabled unprecedented power-to-weight ratio. Its first engine, the R-1340 Wasp engine, transformed military and commercial aviation and is still in use today. In 1928, the Canadian division of the Pratt & Whitney Aircraft Company was established. In 1944, Pratt & Whitney began its gas turbine and jet propulsion initiative. The company constructed a wind tunnel, laboratory and engineering center to support our allies’ efforts in World War II. In 1945, wartime production included more than 300,000 Pratt & Whitney engines, touted by service members as extremely dependable – a legacy that continues today. From there, Pratt & Whitney continued to design and innovate more powerful, agile, and reliable engines becoming a leader in the aerospace industry. Today, Pratt & Whitney has more than 85,000 engines in service and more than 16,000 customers worldwide.

Industry

Engineering professional services

Company size

10,000+ Employees

Headquarters location

East Hartford, CT, US

Year founded

1925