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

Henpen Corporation

Power Electronics Engineer

Groton, CT

$111K - $131K/yr

... opportunities and learning experiences. You will work in a small company environment where ... experience designing electric machines and/or drives • Experience working with acoustic ...

GDIT

Machinist

Pawcatuck, CT · On-site

$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 ...

Harris

(Remote) Technical Engineer

Carolina, RI · On-site +1

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 ...

Amgen, Inc.

Engineer

West Greenwich, RI · On-site

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 ...

Amgen

Engineer

West Greenwich, RI · On-site

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 ...

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Showing results 1-20

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 Jul 22, 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants 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 AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 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 July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $128,044 per year, or $61.6 per hour.
Electrical Systems Engineer

Electrical Systems Engineer

General Dynamics Electric Boat

Groton, CT • On-site

Full-time

Posted 23 days ago

General Dynamics Electric Boat rating

8.3

Company rating: 8.3 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

67th of 534 rated manufacturers

Job description

Overview
The Integrated Power Systems Advanced Current Compensation team in (Department 489) supports new technology development for the electric drive propulsion control system. The core focus of this group is component integration, development, test, and delivery. The position of a systems engineer on this team would include tasks centered around topics such as:
Requirements generation
System identification and control system tuning
Digital signal processing and Real-time Software
Test data processing using spectral analysis tools
Review and disposition of vendor engineering products
Component testing and troubleshooting
Responsibilities: Candidates best suited for this position will possess a passion for learning, teamwork, and being taught in the principles of electrical control systems, current control, and electric drives while assisting in the management of suppliers to deliver requirement compliant components for validation and use in the ship test program. Below is a further breakdown of responsibilities for this role:
  • Analyzing and interpreting simulation results via MATLAB and similar tools to generate analysis reports, calculation packages, and formal recommendation letters to our customers
  • Validating test data and results following system test
  • Developing and verifying system-level and component level requirements
  • Integration of electrical and control systems in accordance with Military and Industrial standards and specifications for hardware and software
  • Reviewing vendor technical analysis reports and Electric Boat generated reports, and review of component specifications and deliverables
  • Travel to the vendor facilities in Middletown, RI for test witnessing, algorithm/software design reviews, and program reviews
  • Travel to Philadelphia, PA to support full-scale testing of the electric drive control system

Qualifications
Required:
  • Minimum of a B.S. in Electrical Engineering or Computer Science
  • 5+ years of post-graduate engineering experience
  • Must be able to obtain and maintain a security clearance through the department of defense

Preferred:
  • Experience with MATLAB Simulink
  • Classes in mechanical design of electric motors, vibrations, electric drives, digital controls, power electronics
  • Design, analysis, or test of power electronic systems and electromagnetic machines
  • Power system design including fault analysis and protection/coordination.
  • Experience with management of suppliers to requirements

Skills
  • Effective communication skills and initiative
  • Candidates should be self-motivated individuals with a good ability to communicate with internal and external customers and management

What General Dynamics Electric Boat employees say

Pay

Benefits

Hours and flexibility

Workplace

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