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Natural Language Processing Engineer Jobs in Texas

Damco Solutions

Lead ML Engineer

Dallas, TX

$101K - $134K/yr

... with data science and engineering teams to deploy and scale models and algorithms. • ... Natural Language processing concepts (sentiment generation, topic modeling, TFIDF) . * Must have ...

Damco

Lead ML Engineer

Dallas, TX · On-site

$101K - $134K/yr

Machine Learning Engineer Client is looking for a candidate that has done end to end machine ... Natural Language processing concepts (sentiment generation, topic modeling, TFIDF). • Must have ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

Natural language processing (NLP) * Free-text analytics * Machine learning (ML) algorithms ... Strong programming skills in Python * Experience with SQL and NoSQL databases * Strong problem ...

THOMSON REUTERS

Lead Research Engineer

Frisco, TX · On-site +1

$95K - $126K/yr

We hire engineers and specialists across a variety of AI research areas to drive the company ... Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks ...

Purple Drive Technologies

AI Developer

Richardson, TX · On-site

Implement natural language processing (NLP) capabilities for enhanced user interactions * Create ... Apply DevOps approaches for continuous integration and deployment * Implement CI/CD pipelines, Git ...

Globalfoundries

$143K - $247K/yr

Natural language processing and semantic understanding for technical documentation Vector database ... Experience - Minimum 10 Years in Software Engineering or related field Strong experience with ...

THOMSON REUTERS

Research Engineer

Frisco, TX · Hybrid

Previousexposure to Natural Language Processing (NLP) problems andhavefamiliarity with key tasks ... Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to ...

webAI Inc

Staff R&D AI Engineer

Austin, TX · On-site

Strong expertise in both computer vision and natural language processing with hands-on model ... Strong programming skills in Python with experience in distributed training and model optimization

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 ...

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 ...

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 ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Collaborate with data scientists and software engineers to design and implement scalable and ... Experience with natural language processing (NLP) or computer vision (CV) techniques. Experience ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Requirements: • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a ... natural language processing (NLP) or computer vision (CV) techniques. • Experience with ...

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All JobsNatural Language Processing Engineer JobsNatural Language Processing Engineer Jobs in Texas

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 Jun 10, 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 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 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 are the key skills and qualifications needed to thrive in the Natural Language Processing Engineer position, and why are they important?

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.

What are the most commonly searched types of Natural Language Processing Engineer jobs in Texas? The most popular types of Natural Language Processing Engineer jobs in Texas are:
What are popular job titles related to Natural Language Processing Engineer jobs in Texas? For Natural Language Processing Engineer jobs in Texas, the most frequently searched job titles are:
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:
Natural Language Processing Engineer jobs near you
Infographic showing various Natural Language Processing Engineer job openings in Texas as of June 2026, with employment types broken down into 61% Full Time, 32% Part Time, 2% Temporary, 3% Contract, and 2% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $85,729 per year, or $41.2 per hour.
Lead ML Engineer

Lead ML Engineer

Damco Solutions

Dallas, TX

$101K - $134K/yr

Other

Posted 23 days ago

Job description

Client is looking for a candidate that has done end to end machine learning models from ideation to productions at least a few times. This person needs to be hands on with coding & contributing to the ideation, production & deployment of the ML model.
• 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.

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