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

Responsible for programing, set-up, and operation of waterjet machine * Loading & unloading ... AI-powered career tool that identifies career steps and learning opportunities * Support: An ...

Machinist

Pawcatuck, CT

$20.24 - $26.45/hr

Will set up and machine many different types of parts to blueprint. Knowledge of G-Code programming ... AI-powered career tool that identifies career steps and learning opportunities Support: An internal ...

This is a role for engineers who enjoy asking "why," digging into complex problems, and continuously learning. This remote role welcomes candidates anywhere in the US. Preference will be given to ...

This is a role for engineers who enjoy asking "why," digging into complex problems, and continuously learning. This remote role welcomes candidates anywhere in the US. Preference will be given to ...

Engineer I What you will do Let's do this. Let's change the world. In this vital role you will report to the Senior Manager of the Engineering group. Working under direction, the position is ...

Engineer I What you will do Let's do this. Let's change the world. In this vital role you will report to the Senior Manager of the Engineering group. Working under direction, the position is ...

This position has an SPF which is current registration as a Professional Engineer (PE) in any state, the District of Columbia, Guam or Puerto Rico. Do you meet this requirement? Note - if you respond ...

Are you a recent Graduate Ceramics Engineer looking for an exciting opportunity to launch your career? Are you passionate about manufacturing, eager to learn, and ready to make a meaningful impact?

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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 Jun 29, 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.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 Groton, CT? The most popular types of Machine Learning Engineer jobs in Groton, CT 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:
Infographic showing various Machine Learning Engineer job openings in Groton, CT as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $128,044 per year, or $61.6 per hour.
WaterJet Operator

$23.80 - $32.20/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Key responsibilities

  • Program, set up, and operate the OMAX WaterJet machine to cut and fabricate precision parts and assemblies.

  • Interpret drawings, manuals, specifications, or sample parts to determine dimensions and tolerances of finished products.

  • Inspect completed work for quality standards and conformance requirements.


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

70th of 206 rated it services


Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

SCA

Job Qualifications:

Skills:

Measuring Instruments, Mechanical Aptitude, Metal Fabrication

Certifications:

None

Experience:

1 + years of related experience

US Citizenship Required:

Yes

Job Description:

The Water Jet Operator works within the Sheet Metal fabrication shop.Operating the OMAX WaterJet to cut and fabricate precision parts and assemblies.Job Duties and Responsibilities:
  • Coordinating daily work with department supervisor
  • Responsible for programing, set-up, and operation of waterjet machine
  • Loading & unloading material or finished parts from machine.
  • Interpretation of drawings, manuals, specifications, or sample parts to determine dimensions and tolerances of finished products.
  • Inspection of completed work for quality standards and GDIT conformance requirements.
  • Perform preventative maintenance to upkeep to machine and work area
  • Responsible for the rebuilding or replacement of machine parts as required.
  • Assist in operation of other Shop Machinery.
Qualifications:
  • Experience in CNC metal cutting or machining 1 -3 years
  • AA/AS Degree or equivalent experience
  • Prior sheet metal fabrication skills or relevant experience.
  • Ability to rebuild or replace machine parts as needed
  • Basic knowledge of shop machinery, hand, and power tools
  • Basic reading, writing, and math skills
  • Ability to read blueprints.
  • Ability to work within a small, motivated team
  • Knowledge of precision measuring instruments (i.e.: calipers, micrometers, gages, etc.).
  • Ability to lift 50lbs.
  • Ability to stand for an 8hr shift minimum
  • Must be able to obtain forklift certification
  • US citizenship required
GDIT IS YOUR PLACEAt GDIT, the mission is our purpose, and our people are at the center of everything we do:
  • Growth: AI-powered career tool that identifies career steps and learning opportunities
  • Support: An internal mobility team focused on helping you achieve your career goals
  • Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off
  • Flexibility: Full-flex work week to own your priorities at work and at home
  • Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career at GDIT and you'll find endless opportunities to grow alongside colleagues who share your ambition to deliver your best work.The likely hourly rate for this position is between $23.80 - $32.20. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA CT Pawcatuck

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identify Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About our Work:

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US