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Machine Learning Engineer Jobs in Connecticut (NOW HIRING)

Purple Drive Technologies

Senior AI Engineer

Hartford, CT · On-site

$55.75 - $71.75/hr

You will work closely with Cloud and Machine Learning engineers, as well as the CRM development team to ensure the proper integration of AI technologies into the platform. You will be responsible for ...

Purple Drive Technologies

Senior AI Engineer

Hartford, CT · On-site

$55.75 - $71.75/hr

You will work closely with Cloud and Machine Learning engineers, as well as the CRM development team to ensure the proper integration of AI technologies into the platform. You will be responsible for ...

Deloitte

Senior AI Engineer - SFL Scientific

Stamford, CT

$111.40K - $153K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105.90K - $143.90K/yr

Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is ... Understanding of Machine learning frame works (e.g. Scikit learning, Scipy) * Understanding and 1+ ...

Deloitte

AI and Data Science Engineer III

Stamford, CT · On-site +1

$122.10K - $146.60K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Deloitte

AI Data Engineer - Manager

Hartford, CT

$115.50K - $138.70K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

Deloitte

AI and Data Science Engineer III

Hartford, CT · On-site +1

$115.50K - $138.70K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Deloitte

AI Data Engineer - Manager

Stamford, CT

$122.10K - $146.60K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

Deloitte

Senior AI Engineer - SFL Scientific

Stamford, CT · On-site

$111.40K - $153K/yr

Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a ... machine learning applications. Responsibilities : • Work with clients to design, develop, and ...

New

Deloitte

AI Data Engineer Senior Consultant

Stamford, CT · On-site

$122.10K - $146.60K/yr

They are seeking an AI Data Engineer Senior Consultant to build and operate the data, features, and ... machine learning training and real-time inference, including online and offline consistency ...

Deloitte

AI Data Engineer Senior Consultant

Hartford, CT · On-site

$115.50K - $138.70K/yr

They are seeking an AI Data Engineer Senior Consultant to build and operate the data, features, and ... machine learning training and real-time inference, including online and offline consistency ...

Pwc

CTIO AI Engineering Manager

Stamford, CT

$73.50K - $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

CTIO AI Engineering Manager

Hartford, CT · On-site

$73.50K - $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 ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Connecticut

Machine Learning Engineer information

See Connecticut salary details

$30K

$122.5K

$184.1K

How much do machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning engineer in Connecticut is $122,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $147,400.00 per year, depending on experience, location, and employer.

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 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 jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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 Connecticut? The most popular types of Machine Learning Engineer jobs in Connecticut are:
What are popular job titles related to Machine Learning Engineer jobs in Connecticut? For Machine Learning Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Connecticut look for? The top searched job categories for Machine Learning Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Machine Learning Engineer jobs? Cities in Connecticut with the most Machine Learning Engineer job openings:
What are popular job titles related to Machine Learning Engineer jobs in CT? For Machine Learning Engineer jobs in CT, the most frequently searched job titles are:
Machine Learning Engineer jobs near you

Senior AI Engineer

Purple Drive Technologies

Hartford, CT • On-site

$55.75 - $71.75/hr

Full-time

Posted 10 days ago

Job description

Overview:
Summary
As an AI engineer, you will be in charge of designing and implementing AI capabilities for a Contact Center platform in a Healthcare Payer enterprise. You will work closely with Cloud and Machine Learning engineers, as well as the CRM development team to ensure the proper integration of AI technologies into the platform. You will be responsible for the strategy, design, implementation, and maintenance of AI solutions.
This role requires a highly skilled professional with a deep understanding of AI technologies and the ability to collaborate effectively with a diverse team. The ideal candidate will have a strong background in data science and a proven track record in the industry.
Responsibilities
  • Design and develop AI applications and infrastructure for the Contact Center platform.
  • Collaborate with Cloud and Machine Learning engineers, as well as the development team to ensure seamless integration of AI technologies.
  • Stay current with the latest AI trends and technologies, especially Google GCP or Azure AI for Contact Center
  • Create and maintain AI models and algorithms.
  • Conduct AI research to improve existing systems and develop new technologies.
  • Identify opportunities for AI solutions within the organization and propose strategic plans.
  • Train team members and stakeholders on AI and its applications.
  • Ensure compliance with data privacy regulations in AI applications.
  • Monitor the performance of AI systems and make necessary adjustments.
  • Experience in agentic architecture-based implementations and advanced Retrieval Augmented Generation.

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