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Machine Learning Engineer Jobs in Groton, CT (NOW HIRING)

Curtisswright

Mechanical Design Engineer

New London, CT

$109K - $120K/yr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... Lead the design, analysis, and optimization of mechanical systems, equipment, and machinery to ...

Curtiss-Wright

Mechanical Design Engineer

New London, CT · On-site

$109K - $120K/yr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... Lead the design, analysis, and optimization of mechanical systems, equipment, and machinery to ...

Curtiss-Wright

Mechanical Design Engineer

New London, CT · On-site

$109K - $120K/yr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... Lead the design, analysis, and optimization of mechanical systems, equipment, and machinery to ...

Xylem

Manufacturing Process Engineer

East Hampton, NY · On-site

$75 - $105/hr

Professionals should be committed to lifelong learning, seeking out opportunities for self ... machining, and assembly techniques. • Familiarity with statistical methods for process control ...

First Citizens Bank

Senior React Engineer

Carolina, RI · Remote

$123K - $162K/yr

We value continued learning and development, so you will learn a lot. The above duties and ... Engineer experience * Solid experience with React 16+, Redux, Mobx Store Management, Node.js, ...

First Citizens Bank

Senior React Engineer

Carolina, RI · Remote

$123K - $162K/yr

We value continued learning and development, so you will learn a lot. The above duties and ... Engineer experience * Solid experience with React 16+, Redux, Mobx Store Management, Node.js, ...

Ocean House Collection

Engineer

Westerly, RI · On-site

$21 - $26/hr

Ocean House Management Shift Engineer Ocean House Management Shift Engineer A Collection Unlike Any Other The Ocean House Collections includes 3 luxury properties. The Ocean House features 49 luxury ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Groton, CT

Machine Learning Engineer information

See Groton, CT salary details

$31.3K

$128K

$192.4K

How much do machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer in Groton, CT is $128,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $154,100.00 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 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 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 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.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Groton, CT?

The most popular types of Machine Learning Engineer jobs in Groton, CT are:

What are popular job titles related to Machine Learning Engineer jobs in Groton, CT?

For Machine Learning Engineer jobs in Groton, CT, the most frequently searched job titles are:

What cities near Groton, CT are hiring for Machine Learning Engineer jobs?

Cities near Groton, CT with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Groton, CT as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $128,044 per year, or $61.6 per hour.

Mechanical Design Engineer

Curtisswright

New London, CT

$109K - $120K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago

Curtiss-Wright rating

8.4

Company rating: 8.4 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

102nd of 496 rated machine equipment manufacturers

Job description

Mechanical Design Engineer, Lead

At Curtiss Wright we specialize in in the design, engineering and manufacturing of components/systems for the aerospace and defense sectors. Our facility in Monsey, NY has a focus on electrical units and housings for navy applications.

The Mechanical Design Engineer, Lead oversees the design, analysis, testing, and optimization of moderately complex mechanical systems, equipment, and packaging, providing advanced technical leadership across concept development, feasibility evaluation, prototype fabrication, and manufacturing support while ensuring system performance, safety, and reliability.

Location: Monsey, NY

Salary Range: $109,000 - $120,000

Please note that the salary range information provided is a general guideline only, reflecting a position based in New York. Criteria such as the candidate's qualifications and relevant experience, the scope of the specific position, as well as market and business considerations will be evaluated when extending an offer.

We Take Care of Our People

Paid Time Off I 401K with Employer Match and Profit Sharing I Health and Wellness Benefits I Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I Employee Stock Purchase PlanI Inclusive & Supportive Culture *

Your Challenge

  • Lead the design, analysis, and optimization of mechanical systems, equipment, and machinery to improve efficiency, safety, quality, and cost effectiveness.

  • Plan and execute feasibility studies and structured experiments, including data collection, analysis, reconciliation of predicted versus actual performance, and preparation of technical reports.

  • Direct support personnel in detailed design, prototype fabrication, installation, debugging, and testing activities to validate mechanical solutions and ensure manufacturability.

  • Develop and maintain engineering documentation, maintenance procedures, safety standards, and presentation materials to support solution visibility and operational readiness.

  • Provide senior-level technical guidance for equipment maintenance, root-cause investigations, and bid responses, developing innovative solutions to complex engineering challenges.

What You Bring

  • Bachelor's degree in Mechanical Engineering or a related discipline.

  • 8-12+ years of progressive mechanical design engineering experience, including hands-on system development, testing, and manufacturing support.

  • Demonstrated expertise in mechanical system design, analysis, prototyping, and troubleshooting.

  • Strong capability in experiment design, data interpretation, and resolving discrepancies between modeled and actual results.

  • Experience directing technicians or support teams in fabrication, testing, or equipment installation.

  • Proficiency with CAD tools, engineering documentation practices, and mechanical testing methods.

  • Strong communication and presentation skills for cross-functional and customer-facing interactions.

  • Ability to develop innovative, practical solutions to complex technical problems.

901D is a Defense Contractor; U.S. Citizenship or U.S. Person status is required for this position.


This position may require exposure to information subject to U.S. export control regulations under the International Traffic in Arms Regulations (ITAR) or the Export Administration Regulations (EAR). All applicants must be U.S. persons within the meaning of U.S. regulations.

#LI-TS1

No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Resumes submitted directly to any Curtiss-Wright employee or affiliate will not qualify for fee payment, and therefore become the property of Curtiss-Wright.

Compliance Statement

This position may require exposure to export-controlled information and subject to additional security screening. In the event information provided during the security screening reveals ineligibility to access export-controlled information, any offer of employment may be reconsidered or withdrawn.

Curtiss-Wright is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, sexual orientation, gender identity, physical or mental disability, age, ancestry, legally protected medical condition, family care status, marital status, religion, veteran status, national origin, or any other legally protected status. If you require accommodation during the recruitment process, please contactTalent Acquisition.

For US Applicants:EEO is The Law - click here for more information.

If you require accommodation due to a disability at any time during the recruitment and/or assessment process, please contact Talent Acquisition and we will make all reasonable efforts to accommodate your request.

What Curtiss-Wright employees say

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About Curtiss-Wright

Sourced by ZipRecruiter

Curtiss-Wright Actuation Division designs, manufactures and supports electro-mechanical actuation products and systems for use in demanding applications in Aerospace, Defense and Industrial Automation markets. Our market leading solutions help improve the reliability, efficiency and performance of our customers' operations and platforms, as well as reducing their environmental impact with energy efficient electro-mechanical designs and technology. For the Aerospace market, we supply actuation systems for flight control, landing gear, utility and other applications on both commercial and military aircraft. In Ground & Naval Defense markets, we support a wide array of applications ranging from door assist, ramp and hatch actuation, weapons handling systems, radar and launch platform actuation, and robotic (AUV/ROV) actuation. In Industrial Automation, our Exlar® actuators are globally recognized as a leading brand offering high power density, precision and reliability for machine/process applications in automotive, food & beverage, oil & gas, robotics, entertainment and many other industries.

Industry

Computer and electronic product manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Davidson, NC, US

Year founded

1929

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