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Natural Language Processing Jobs (NOW HIRING)

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site

$112K - $140K/yr

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112K - $140K/yr

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Software Engineer, NLP

Cambridge, MA

$125K - $150K/yr

Are you passionate about Natural Language Processing (NLP)? Do you want your code to be core to a wide variety of mission-critical applications around the world and an innovative SAAS API? Do you ...

Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects. Learn new technologies and focus on what you're passionate about. Requirements :: 2+ years experience with ...

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Natural Language Processing information

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$14

$25

$48

How much do natural language processing jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for natural language processing in the United States is $25.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $29.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, 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 roles?

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 kind of jobs use natural language processing?

Natural language processing (NLP) is used in roles such as NLP engineer, data scientist, machine learning engineer, and computational linguist. These jobs involve developing algorithms for language understanding, sentiment analysis, chatbots, and voice recognition systems, often requiring programming skills in Python and familiarity with NLP libraries like NLTK or spaCy.

What is a Natural Language Processing job?

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.

More about Natural Language Processing jobs
What cities are hiring for Natural Language Processing jobs? Cities with the most Natural Language Processing job openings:
What are the most commonly searched types of Natural Language Processing jobs? The most popular types of Natural Language Processing jobs are:
What states have the most Natural Language Processing jobs? States with the most job openings for Natural Language Processing jobs include:
Infographic showing various Natural Language Processing job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $52,986 per year, or $25.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

HCL Global Systems Inc

Merrimack, NH • On-site

Full-time

Posted 6 days ago


Job description

Job Summary:
HCL Global Systems Inc is seeking a Machine Learning Engineer with hands-on experience in software development and cloud technologies. The role involves architecting large scale systems and applying research in machine learning models, particularly in natural language processing and MLOps.
Responsibilities:
• Demonstrated Hands On Experience with the following is required, as well as leading teams implementing:
• Software development and delivery cycle
• Architecting large scale systems
• Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
• NodeJS or Python
• REST APIs
• An established track record performing applied research in one or more of the following areas:
• Building and evaluating Natural Language Processing related Machine Learning Models
• MLOps in automating Machine Learning Model services refreshing cycle
• Integrating Machine Learning Model services with existing runtime conversation handling system
Qualifications:
Required:
• Demonstrated Hands On Experience with the following is required, as well as leading teams implementing: Software development and delivery cycle
• Architecting large scale systems
• Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
• NodeJS or Python
• REST APIs
• An established track record performing applied research in one or more of the following areas: Building and evaluating Natural Language Processing related Machine Learning Models
• MLOps in automating Machine Learning Model services refreshing cycle
• Integrating Machine Learning Model services with existing runtime conversation handling system
Company:
HCL Global Systems is a staffing and recruiting company providing consulting and business solutions. Founded in 2005, the company is headquartered in Farmington Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

HCL Global Systems logo

About HCL Global Systems

Sourced by ZipRecruiter

HCL Global Systems is One of the Best IT Consulting Firm specialized in Application Development, Quality Testing, IT Courses Training, Staffing and Recruitment services. With wide range of experience, We are confident in our ability to help our Customers grow and improve their businesses. More than likely, regardless of the nature and scope of the problem, Our dedicated Team of Professionals can help you to achieve a cost effective business solution.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

2005