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Natural Language Processing Engineer Jobs in Texas

Lead ML Engineer

Dallas, TX · On-site

$101K - $133K/yr

Damco Solutions is seeking a Lead ML Engineer to contribute to the ideation, production, and ... Natural Language processing concepts (sentiment generation, topic modeling, TFIDF). • Design ...

Programming languages: Python (proficient) with major ML libraries * Experience with opensource Gen ... natural language processing, and computer vision, tailored to specific needs * 5 Evaluate and ...

New

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Stay up-to-date with the latest advancements in natural language processing and AI technologies.

Engineer

Irving, TX · On-site

$80K - $90K/yr

... natural language processing, and computer vision, tailored to specific needs 5 Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential ...

Senior Data Scientist

Irving, TX · On-site

$102K - $179K/yr

You will apply statistical methods, machine learning, natural language processing, and large language models while partnering across product, technology, clinical, engineering, and business teams to ...

You will apply statistical methods, machine learning, natural language processing, and large language models while partnering across product, technology, clinical, engineering, and business teams to ...

Develop natural language processing (NLP), computer vision, or predictive analytics solutions as ... Strong programming skills in Python; experience with JavaScript, SQL, and API development is a plus.

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Showing results 1-20

Natural Language Processing Engineer information

See Texas salary details

$46.1K

$85.7K

$132.8K

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

As of Sep 14, 2026, the average yearly pay for natural language processing engineer in Texas is $85,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $96,000.00 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 Texas look for?

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

What cities in Texas are hiring for Natural Language Processing Engineer jobs?

Cities in Texas with the most Natural Language Processing Engineer job openings:

Infographic showing various Natural Language Processing Engineer job openings in Texas as of September 2026, with employment types broken down into 1% As Needed, 72% Full Time, 20% Part Time, 2% Temporary, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $85,729 per year, or $41.2 per hour.

Lead ML Engineer

Dallas, TX • On-site

Damco Solutions
IT Services • 5 - 10K employees

$101K - $133K/yr

Full-time

Re-posted 22 days ago


Job description

Job Summary:
Damco Solutions is seeking a Lead ML Engineer to contribute to the ideation, production, and deployment of machine learning models. The role involves collaboration with data science and engineering teams to operationalize complex models and maintain data pipelines.
Responsibilities:
• Work and collaborate with data science and engineering teams to deploy and scale models and algorithms.
• Operationalize complex machine learning models into production including end to end deployment.
• Understand standard Machine Learning algorithms (Regression, Classification) & Natural Language processing concepts (sentiment generation, topic modeling, TFIDF).
• Design, Develop and maintain adaptable data pipelines to maintain use case specific data.
• Integrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.
• Develop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversight's model review cadence.
• Support the operationalized models and develop runbooks for maintenance.
Qualifications:
Required:
• 10+ years' experience
• Work and collaborate with data science and engineering teams to deploy and scale models and algorithms.
• Operationalize complex machine learning models into production including end to end deployment.
• Understand standard Machine Learning algorithms (Regression, Classification) & Natural Language processing concepts (sentiment generation, topic modeling, TFIDF).
• Must have strong exp with GCP
• Working knowledge of standard ML packages like scikit learn, vader sentiment, pandas, pyspark.
• Design, Develop and maintain adaptable data pipelines to maintain use case specific data.
• Integrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.
• Develop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversight's model review cadence.
• Support the operationalized models and develop runbooks for maintenance.
Company:
Damco Solutions is a provider of IT solutions, services, and products. Founded in 1996, the company is headquartered in Plainsboro, USA, with a team of 1001-5000 employees. The company is currently Late Stage.