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Machine Learning Nlp Jobs in Texas (NOW HIRING)

... machine learning and data science solutions ... The ideal candidate will have expertise in predictive modeling, deep learning, NLP, and large-scale ...

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... Experience with natural language processing (NLP) * Knowledge of deep learning techniques (e.g ...

Natural language processing (NLP) * Free-text analytics * Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software (Tableau preferred) * Familiarity with AWS ...

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Experience with natural language processing (NLP) * Knowledge of deep learning techniques (e.g ...

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Java, Python, or Node.js; NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP); Machine learning, statistical analysis, and predictive modeling; Machine learning algorithms; Feature engineering, model ...

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Apply a broad range of modelling techniques - including time-series forecasting, NLP ...

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Apply a broad range of modelling techniques - including time-series forecasting, NLP ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Apply a broad range of modelling techniques - including time-series forecasting, NLP ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Apply a wide range of statistical, machine learning, and deep learning techniques , including but not limited to regression, classification, clustering, time-series forecasting, and NLP. * Own end-to ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Apply a wide range of statistical, machine learning, and deep learning techniques , including but not limited to regression, classification, clustering, time-series forecasting, and NLP. * Own end-to ...

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Showing results 1-20

Machine Learning Nlp information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do machine learning nlp jobs pay per year?

As of Jul 7, 2026, the average yearly pay for machine learning nlp in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a Machine Learning NLP job?

A Machine Learning NLP job involves developing algorithms and models that enable machines to understand, process, and generate human language. Professionals in this role work with large datasets, train models on text data, and fine-tune natural language processing techniques such as sentiment analysis, text classification, and language translation. They often use machine learning frameworks like TensorFlow, PyTorch, and NLP libraries such as spaCy or Hugging Face Transformers. The goal is to build intelligent applications, including chatbots, search engines, and automated content analysis systems.

What are the typical daily responsibilities of a Machine Learning NLP specialist?

As a Machine Learning NLP specialist, your daily responsibilities often include designing and implementing NLP models, cleaning and preprocessing large text datasets, and experimenting with algorithms to improve model performance. You may also evaluate model results, collaborate with software engineers and data scientists, and stay updated on the latest research in the field. Frequent code reviews, participation in team meetings, and contributing to documentation are also common. This role combines hands-on technical work with collaborative problem-solving to develop language-based AI solutions for real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Nlp position, and why are they important?

To thrive as a Machine Learning NLP professional, you need a strong background in machine learning, natural language processing, data analysis, and proficiency in programming languages such as Python, typically supported by a relevant degree in computer science or related field. Familiarity with NLP libraries (like spaCy, NLTK, or Hugging Face), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are highly valued, and certifications can enhance your profile. Strong problem-solving skills, effective communication abilities, and adaptability are important soft skills in this role. These competencies enable you to build sophisticated language models and efficiently collaborate on cross-functional projects in a rapidly evolving technical landscape.

Infographic showing various Machine Learning Nlp job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.
Machine Learning Engineer

Machine Learning Engineer

HCLTech

Plano, TX • On-site

Full-time

Posted 5 days ago


Job description

Job Summary:
HCLTech is looking for an experienced AI/ML Engineer / Data Scientist to design, develop, and deploy advanced machine learning and data science solutions. The ideal candidate will have expertise in predictive modeling, deep learning, NLP, and large-scale data analytics, with hands-on experience building end-to-end ML workflows.
Responsibilities:
• Design, develop, and deploy machine learning and advanced analytics solutions for business use cases.
• Gather, analyze, and transform structured and unstructured data to support data-driven decision-making.
• Build and optimize predictive models using machine learning, deep learning, and statistical techniques.
• Develop sequence-based models using RNNs, LSTMs, Transformers, and related architectures.
• Analyze high-volume clickstream and session-level data to derive actionable insights.
• Select appropriate modeling techniques based on data characteristics, business requirements, and performance objectives.
• Develop and maintain scalable ML workflows and model pipelines.
• Implement NLP and text analytics solutions using modern libraries and frameworks.
• Monitor, govern, and maintain machine learning models throughout their lifecycle.
• Collaborate with business stakeholders, data engineers, and cross-functional teams to deliver analytical solutions.
• Write high-quality, reusable, and well-tested code following software engineering best practices.
• Build dashboards, visualizations, or GUI-based interfaces as needed to support business users.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 6+ years of experience in Data Science, Machine Learning, or Artificial Intelligence.
• Strong programming experience in Python, R, and SQL.
• Experience with machine learning algorithms including: XGBoost, Decision Trees, Random Forests, Logistic Regression, Support Vector Machines (SVM), Gradient Boosting, Bayesian Networks, Clustering Algorithms, Dimensionality Reduction Techniques.
• Experience developing sequence models using RNNs, LSTMs, and Transformers.
• Hands-on experience with TensorFlow, Keras, and/or PyTorch.
• Strong knowledge of Natural Language Processing (NLP) and Text Analytics.
• Experience with NLP libraries such as NLTK and SpaCy.
• Experience building and managing end-to-end ML workflows.
• Strong knowledge of Python data science libraries including: NumPy, SciPy, Scikit-learn.
• Experience in model deployment, governance, monitoring, and maintenance.
• Strong analytical, problem-solving, and communication skills.
Preferred:
• Experience with Data Science platforms such as Dataiku, H2O, Azure ML, or similar.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Knowledge of Big Data technologies such as: Hadoop, Hive/HQL, HDFS, Spark/PySpark, Kafka.
• Experience with version control tools such as Git, GitHub, GitLab, SVN, or Mercurial.
• Experience building session-level analytics and clickstream models.
• Experience working in Agile development environments.
• Familiarity with MLOps and production-grade machine learning deployments.
• Ability to design scalable, enterprise-level AI and analytics solutions.
Company:
HCLTech is a global IT company offering digital, engineering, and cloud solutions partnering with businesses for transformation. Founded in 1976, the company is headquartered in Noida, IND, with a team of 10001+ employees. The company is currently Late Stage.