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Natural Language Processing Engineer Jobs in Cypress, TX

Pwc

AI Engineer

Houston, TX · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

Oxy

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $137K/yr

Perform prompt engineering, pre-processing, and post-processing to optimize output suitability ... Strong foundation in large language models (LLMs) and natural language processing (NLP), with ...

Oxy

Senior AI Language Model Engineer

Houston, TX

$99K - $137K/yr

Perform prompt engineering, pre-processing, and post-processing to optimize output suitability ... Strong foundation in large language models (LLMs) and natural language processing (NLP), with ...

Audubon Companies

Senior Gas Processing Engineer

Houston, TX · On-site

$100K - $130K/yr

The Senior Gas Processing Engineer at Audubon provides technical leadership for the design, optimization, and execution of natural gas processing facilities, including treating, dehydration ...

Citadel

Software Engineer - Intern (US)

Houston, TX · On-site

$4.5K - $5.8K/wk

... natural language processing, machine learning and more. As an intern, you'll get to challenge the ... Exceptional programming and design skills * Strong analytical skills and familiarity with ...

Jobtailor

AI/ML Platform Engineer

Spring, TX · On-site

$147.05 - $230.85/hr

Natural Language Processing * Python (Programming Language) * PyTorch (Machine Learning Library) * Scikit‑learn (Machine Learning Library) * Software Engineering * TensorFlow Cross‑Org Skills

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

... on Natural Language Processing (NLP). * Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures. * Strong programming ...

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Natural Language Processing Engineer information

See Cypress, TX salary details

$42.6K

$79.3K

$122.7K

How much do natural language processing engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for natural language processing engineer in Cypress, TX is $79,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $88,700.00 per year, depending on experience, location, and employer.

What does a natural language processing engineer do?

A Natural Language Processing (NLP) Engineer develops algorithms and models that enable machines to understand, interpret, and generate human language. They work with large datasets, train machine learning models, and fine-tune language models for applications like chatbots, speech recognition, and text analysis. NLP Engineers typically use programming languages like Python and frameworks such as TensorFlow, PyTorch, or spaCy. Their work involves data preprocessing, model training, and optimizing performance to enhance the accuracy and efficiency of language-based AI systems.

What does a typical day look like for a natural language processing engineer?

A typical day for a Natural Language Processing Engineer involves developing, testing, and refining language models and algorithms, often using real-world datasets. You might collaborate with data scientists, product managers, and software engineers to integrate NLP solutions into applications or address complex language-related challenges. Regular responsibilities include data preprocessing, feature engineering, model evaluation, and troubleshooting performance issues. Most NLP engineers work in a team-oriented, agile environment where clear communication and iterative development are key. This structure offers a dynamic workflow and opportunities to learn from others while making a tangible impact on the products you help build.

What are the key skills and qualifications needed to thrive as a natural language processing engineer?

To thrive as a Natural Language Processing Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science, computational linguistics, or a related field. Familiarity with NLP libraries such as NLTK, spaCy, TensorFlow, or PyTorch as well as experience with cloud platforms and version control is often required. Analytical thinking, collaboration, and effective communication are important soft skills in this role. These competencies ensure the ability to build robust language models, contribute to innovative projects, and work efficiently in dynamic, cross-functional teams.

Are natural language processing engineers in demand?

Natural Language Processing (NLP) engineers are in high demand due to the growing use of AI and machine learning in industries such as technology, healthcare, and finance. They often require skills in programming, machine learning frameworks, and understanding of linguistics, with job growth expected to continue as AI applications expand.

What job categories do people searching Natural Language Processing Engineer jobs in Cypress, TX look for?

The top searched job categories for Natural Language Processing Engineer jobs in Cypress, TX are:

Natural Language Processing Engineer jobs near you
Infographic showing various Natural Language Processing Engineer job openings in Cypress, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $79,260 per year, or $38.1 per hour.

AI Solutions Engineer

Harris County Sheriff's Office

Houston, TX • On-site

Full-time

Posted 4 days ago

Job description

POSITION OVERVIEW The AI Solutions Engineer designs, builds, and deploys AI-driven solutions. This role takes validated concepts often originating from rapid prototypes or pilot programs and engineers them into scalable, secure, and operational systems. The focus is on applied AI: integrating machine learning, automation, and intelligent services into real-world workflows within a public safety environment.

This is a hands on, technical builder role that bridges experimentation and enterprise-grade implementation. Key Responsibilities Build & Productionize AI Solutions Designs, develops, and deploys AI/ML solutions, such as computer vision, natural language processing, predictive analytics, and automation Converts prototypes and proofs-of-concept into stable, scalable applications Develops APIs, services, and pipelines to integrate AI into existing systems Engineer End-to-End Workflows Builds data ingestion, preprocessing, model execution, and output delivery pipelines Integrates AI capabilities into law enforcement operational platforms Ensures reliability, performance, and maintainability of deployed solutions Model Integration & Optimization Works with pre-trained models, commercial AI services, or custom-built models Fine-tunes, optimizes, and evaluates models for accuracy and operational usefulness Implements monitoring for model performance and drift over time This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this position. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time.

MINIMUM REQUIREMENTS Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; an equivalent combination of education and experience may be considered Three (3) or more years of hands-on experience building software or AI/ML solutions Knowledge, Skills, and Abilities Experience with Python and common AI/ML libraries (e.g., TensorFlow, PyTorch) Experience building APIs and integrating systems (REST, microservices) Understanding of data pipelines and cloud environments (Azure, AWS, or similar) PREFERENCES Experience with computer vision, natural language processing, or real-time analytics Familiarity with video analytics, sensor data, or geospatial data Experience in public safety, government, or another regulated environment Knowledge of MLOps practices (CI/CD for models, monitoring, versioning) GENERAL INFORMATION Work Environment & Physical Demands This position operates primarily in a professional office setting. Standard use of computers, phones, printers, and related technical equipment. The ability to lift and carry up to 10 pounds is occasionally necessary

Position Type and Typical Hours of Work Position Type: Professional Staff, Full-time, Exempt Work Schedule: Typically Monday - Friday, 8:00 AM - 5:00 PM. Hours may vary based on the department's business needs. Equal Opportunity Statement Harris County is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, pregnancy, disability, genetic information, or any other protected class in accordance with applicable federal and state laws.

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