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

Accenture

Agentic DevOps Engineer

Carmel, NY · On-site

$70K - $205K/yr

You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you ... Engineer to support our Agentic DevOps initiatives. This role is ideal for a hands-on technical ...

Pwc

NGA AI Engineer Manager

Stamford, CT

$73K - $244K/yr

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 ...

Pwc

NGA AI Engineer Senior Manager

Stamford, CT

$91K - $321K/yr

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 ...

Point72

Devops Engineer, Surveillance

Stamford, CT · On-site

$160K - $250K/yr

... Engineer, Surveillance A Career with Point72's Surveillance Team Point72's Surveillance team sets ... and machine learning workloads reliably and efficiently at scale * Develop and maintain CI/CD ...

Catalyst Labs, LLC

ML Engineer

Stamford, CT

ML Engineer Stamford, Connecticut, United States About the Job Our client is a rapidly growing Tier ... Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a ...

Relativity

Senior Applied Scientist

Bridgeport, CT · On-site +1

We work closely with engineering, product, design, data engineering, machine learning operations, and LLM engineering teams to translate complex AI research into production-ready features used by ...

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Strong experience with Python programming . * Minimum one year hands-on experience developing machine learning or AI-based solutions . * Experience building or working with Agentic AI systems or ...

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

Machine Learning Engineer information

See Bethel, CT salary details

$32.5K

$132.8K

$199.6K

How much do machine learning engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for machine learning engineer in Bethel, CT is $132,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $159,900.00 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.

More about Machine Learning Engineer jobs
What cities near Bethel, CT are hiring for Machine Learning Engineer jobs? Cities near Bethel, CT with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Bethel, CT as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $132,837 per year, or $63.9 per hour.

Senior Software Engineer - Embedded Systems

Kaav Inc.

Fairfield, CT

$123K - $161K/yr

Other

Posted 28 days ago

Job description

Position: Senior Software Engineer - Embedded Systems
Location: Fairfield, CT (Onsite - 5 Days/Week, Local Candidates Only)
Duration: Full-Time / Direct Hire (W2)
Experience Required: 7 - 20 Years
Visa Eligibility: US Citizens & Green Card Holders Only
Interview Process: 2 Rounds (Teams Video + Onsite)
Domain: Industrial Automation & Robotics
About the Role
We are seeking a highly skilled Senior Software Engineer (Embedded Systems) to join our client's Industrial Automation & Robotics division. This role offers the opportunity to design and develop advanced embedded solutions that bridge hardware and software, driving automation, robotics, and control systems. You will work on cutting-edge technologies, developing high-performance software for mission-critical applications.
If you enjoy solving complex physical problems, working with real machines, and seeing the direct impact of your code in motion, this role will provide the challenge and career growth you're looking for.
Key Responsibilities
  • Design, develop, and optimize embedded software for robotics and automation systems.
  • Work with real-time operating systems (RTOS) for mission-critical performance and reliability.
  • Develop control system software for industrial applications, including robotics and automated machinery.
  • Collaborate with cross-functional teams including hardware, systems, and testing engineers.
  • Implement machine learning algorithms for system monitoring, categorization, and optimization.
  • Ensure real-time monitoring and performance analysis of embedded systems.
  • Lead and mentor junior engineers in embedded systems development best practices.
  • Participate in code reviews, system integration, and onsite testing.
Required Qualifications
  • 7-20 years of professional experience in embedded software development.
  • Strong programming expertise in C++ (modern C++ preferred).
  • Proven experience in embedded development and real-time operating systems (RTOS).
  • Hands-on experience with control systems and hardware/software integration.
  • Strong knowledge of embedded devices, robotics, and automation tools.
  • Excellent problem-solving, debugging, and troubleshooting skills.
  • Ability to work onsite in Fairfield, CT (no relocation support).
Preferred / Nice-to-Have
  • Experience in industries such as Industrial Automation, Robotics, Aerospace, Defense, Semiconductor, Medical Devices, Appliances, or Embedded Systems.
  • Knowledge of machine learning applications in embedded systems.
  • Exposure to safety-critical systems and compliance standards.
  • Strong collaboration and communication skills.

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