ZipRecruiter

Log In

1

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

Kanak Elite Services Inc

AI Developer

Conantville, CT · On-site

AI Developer Location : Greenwich, CT Hybrid (Need local candidate) Duration : 6+ Months Interview ... Develop and maintain AI and machine learning models using AWS Bedrock, SageMaker, and Python-based ...

Whelen Engineering

Manufacturing Engineer I

Chester, CT · On-site

$73K - $95K/yr

Still learning the fundamentals of the Manufacturing Engineering Production Support role ... Basic machine shop experience and knowledge of measurement techniques Physical demands and ...

ResultStack

Sr. Data Scientist

Carolina, RI · On-site

You'll work across operations, engineering, and leadership to build predictive systems that ... They will be well versed in AI & Machine Learning. Having Hands-On experience with LLM's, NLP ...

next page

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 21, 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.

Senior Firmware Engineer - Image Processing

Brightstar Lottery

West Greenwich, RI • Hybrid

$74K - $164K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Brightstar is an innovative, forward-thinking global leader in lottery that builds on our renowned expertise in delivering secure technology and producing reliable, comprehensive solutions for our customers. As a premier pure play global lottery company, our best-in-class lottery operations, retail and digital solutions, and award-winning lottery games enable our customers to achieve their goals, fulfill player needs and distribute meaningful benefits to communities. Brightstar has a well-established local presence and is a trusted partner to governments and regulators around the world, creating value by adhering to the highest standards of service, integrity, and responsibility.  Brightstar has approximately 6,000 employees. For more information, please visit www.brightstarlottery.com.

Overview

Brightstar Lottery is seeking a highly experienced Firmware Engineer with deep expertise in image processing to join our Retail Channel Engineering team. This role is critical to the development and optimization of cutting-edge firmware solutions that power our lottery products. The ideal candidate will bring a strong foundation in C/C++ development, advanced image processing techniques, and a passion for innovation in AI and machine learning.

Responsibilities
  • Design, develop, debug, and maintain firmware using machine language, assembly, and high-level languages (C, C++) for Brightstar Lottery products.
  • Architect and implement image processing algorithms including OMR, OCR, and multi-spectrum imaging (White Light, UV, IR).
  • Enhance image and video quality through mathematical and computational techniques.
  • Apply AI/ML methods to improve image recognition and processing capabilities.
  • Prepare and annotate large-scale image datasets for model training and evaluation.
  • Train, validate, and deploy deep learning models using TensorFlow, PyTorch, and OpenCV.
  • Conduct performance analysis and optimize models for accuracy, latency, and resource efficiency.
  • Collaborate cross-functionally with software, hardware, and data science teams to ensure seamless system integration and deployment.
  • Stay abreast of emerging trends and research in computer vision, image processing, and AI.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or Physics.
  • 8+ years of experience in C/C++ software development, including design and documentation.
  • Strong foundation in computer science, mathematics, and physics.
  • Proficiency in Linux OS, including system-level programming, kernel development, and device drivers.
  • Deep understanding of image processing techniques and algorithm development.
  • Experience with deep learning frameworks (TensorFlow, PyTorch) and libraries (OpenCV).
  • Familiarity with cloud platforms such as AWS or Azure is a plus.
  • Excellent problem-solving skills and ability to thrive in fast-paced, collaborative environments.
Keys to Success

 Leading Complexity
Leading People
Leading the Business
Leading Self

#LI-BK1 #LI-HYBRID #LotteryTechnology

At Brightstar, we consider a wide range of factors in determining compensation, including background, skills, experience, and work location. These factors can cause your compensation to vary. The estimated starting salary range is $74,961-$164,800. The actual pay offered may end up being higher or lower. The Company will comply with all local pay requirements and collective bargaining agreements, where applicable. 

Base pay is only one part of our Total Rewards program.  Sales roles may be eligible for commission payments, while other roles may be eligible for short-term incentive or other discretionary bonuses. More senior roles maybe eligible for long-term incentive bonuses. In addition, we offer employees a 401(k) Savings Plan with Company contributions, health, dental, and vision insurance, life, accident, and disability insurance, tuition reimbursement, paid time off, wellness programs, and identity theft insurance. Note: programs are subject to eligibility requirements.

All Brightstar employees have a role in information security. Annual training will be assigned and required as appropriate.

Apply