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Natural Language Processing Jobs in Connecticut (NOW HIRING)

Sr Software Engineer

Hartford, CT · Remote

$91K - $163K/yr

Experience integrating Large Language Models (LLMs), natural language processing (NLP), or vector databases into software applications * Understanding of enterprise AI ethics, safety guidelines, and ...

Sr Software Engineer

Hartford, CT · On-site

$91K - $163K/yr

Experience integrating Large Language Models (LLMs), natural language processing (NLP), or vector databases into software applications * Understanding of enterprise AI ethics, safety guidelines, and ...

Showing results 41-60

Natural Language Processing information

See Connecticut salary details

$13

$24

$45

How much do natural language processing jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for natural language processing in Connecticut is $24.23, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $28.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers strong job prospects, competitive salaries, and opportunities to work with machine learning, data analysis, and programming languages like Python. Success in NLP careers often requires a background in computer science, linguistics, or related fields, along with skills in data handling and model development.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and information extraction, often using tools like Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

What are the most commonly searched types of Natural Language Processing jobs in Connecticut?

The most popular types of Natural Language Processing jobs in Connecticut are:

What are popular job titles related to Natural Language Processing jobs in Connecticut?

For Natural Language Processing jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing jobs in Connecticut look for?

The top searched job categories for Natural Language Processing jobs in Connecticut are:

What cities in Connecticut are hiring for Natural Language Processing jobs?

Cities in Connecticut with the most Natural Language Processing job openings:

Infographic showing various Natural Language Processing job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $50,405 per year, or $24.2 per hour.

Sr Software Engineer

UnitedHealth Group

Hartford, CT • Remote

$91K - $163K/yr

Full-time

Retirement

Posted 5 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

188th of 887 rated healthcare providers


Job description

Our Company

UnitedHealthcare Employer & Individual provides employer-sponsored health benefits, as well as individual and family plans, through a portfolio of products that helps make coverage more affordable, simplifies the health care experience, and improves access to high-quality care. Join us to start Caring. Connecting. Growing together.

Position Summary

As a Senior Software Engineer within UnitedHealthcare Employer & Individual, you will design, build, and deploy high-performance software applications and enterprise AI-powered solutions that simplify the healthcare experience for millions of members. Working within a collaborative engineering environment, you will drive technical design, write scalable code, and leverage cutting-edge tools to automate complex workflows and modernize health benefit systems. This role offers the opportunity to solve critical engineering challenges, evaluate emerging technology trends, and deliver impactful digital solutions at enterprise scale.

Primary Responsibilities

  • Design, develop, deploy, and maintain scalable software applications and AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI.
  • Leverage enterprise-approved AI tools and modern engineering practices to streamline workflows, automate tasks, and drive continuous improvement.
  • Evaluate emerging trends and technologies to inform solution design, architecture, and strategic innovation.
  • Collaborate with cross-functional product, engineering, and data teams to define software requirements and technical specifications.
  • Write clean, maintainable, performant code and participate in code reviews, design reviews, and architectural discussions.
  • Troubleshoot, debug, and optimize application performance, cloud services, and integration pipelines in production environments.
  • Mentor junior and mid-level software engineers, fostering technical growth and modern software development practices across the team

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or a related field, 4 years of equivalent professional software engineering experience in Lieu of Degree
  • 5 years of professional software development experience designing, building, and deploying enterprise-grade applications
  • 3 years of experience with one or more modern programming languages (e.g., Python, Java, C#, or TypeScript)
  • 2 years of experience working in an Agile/Scrum engineering environment
  • 1 years of experience building, integrating, and deploying AI-powered features, automated workflows, or machine learning services/APIs
  • 1 years of experience with DevOps automation, containerization (Docker, Kubernetes), and CI/CD pipelines (Jenkins, GitHub Actions, GitLab)
  • 1 years of experience with cloud platforms (e.g., AWS, Azure, or GCP) and microservices application architecture

Preferred Qualifications

  • Advanced degree (Master's) in Computer Science, Artificial Intelligence, or related technical field
  • Experience integrating Large Language Models (LLMs), natural language processing (NLP), or vector databases into software applications
  • Understanding of enterprise AI ethics, safety guidelines, and data governance practices
  • Experience with healthcare data systems, health benefits operations, or security/privacy standards (e.g., HIPAA)

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.  

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO, #GREEN


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