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Machine Learning Nlp Jobs in Texas (NOW HIRING)

Apex Informatics

Data Scientist

Addison, TX · On-site

The ideal candidate will have a solid background in software engineering with experience in building Machine Learning NLP Models and good familiarity with Gen AI Models. REQUIRED SKILLS * 7+ years of ...

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must ... Practical application of NLP techniques (sentiment analysis, entity recognition) and knowledge ...

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX · On-site

$300K - $345K/yr

As part of the Machine Learning team, you'll play a critical role in shaping how AI powers ... PyTorch, TensorFlow), with experience in recommendation systems, ranking, or NLP * Expertise in ...

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX · On-site

$300K - $345K/yr

As part of the Machine Learning team, you'll play a critical role in shaping how AI powers ... PyTorch, TensorFlow), with experience in recommendation systems, ranking, or NLP * Expertise in ...

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All JobsMachine Learning Nlp JobsMachine Learning Nlp Jobs in Texas

Machine Learning Nlp information

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$34.9K

$114.3K

$183.1K

How much do machine learning nlp jobs pay per year?

As of Jul 13, 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.

What are popular job titles related to Machine Learning Nlp jobs in Texas? For Machine Learning Nlp jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Nlp jobs in Texas look for? The top searched job categories for Machine Learning Nlp jobs in Texas are:
Machine Learning Nlp jobs near you
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.

Product Manager (Specialized in Machine Learning)

Carter Support Services

Houston, TX • On-site

Other

Re-posted 29 days ago

Job description

Product Manager (Machine Learning)

Company: Carter Support Services
Location: Houston
 

Position Summary

We are seeking a Product Manager with deep experience in machine learning–driven products to lead the strategy, development, and lifecycle of ML-powered solutions. This role sits at the intersection of business, data science, engineering, and user experience, translating complex machine learning capabilities into scalable, valuable, and user-friendly products.

The ideal candidate understands both product management fundamentals and machine learning concepts, and can effectively guide teams through experimentation, model iteration, and production deployment while keeping a strong focus on customer outcomes and business impact.

Key Responsibilities

  • Define product vision, strategy, and roadmap for machine learning–based products

  • Translate business problems into ML product requirements and measurable success metrics

  • Partner closely with data science and engineering teams to guide model development, training, evaluation, and deployment

  • Own product discovery, including user research, hypothesis testing, and experimentation

  • Define and prioritize features using data, experimentation results, and business impact

  • Establish KPIs for ML products, including model performance, business outcomes, and user adoption

  • Manage product lifecycle from concept through launch, iteration, and scale

  • Communicate product strategy and progress to stakeholders and executive leadership

  • Ensure responsible AI practices, including fairness, transparency, and compliance considerations

Required Qualifications

  • 4+ years of product management experience, with at least 2 years working on machine learning or data-driven products

  • Strong understanding of machine learning concepts (e.g., supervised vs. unsupervised learning, model evaluation, training pipelines)

  • Experience working with data scientists, ML engineers, and software engineers

  • Ability to translate technical concepts into clear product requirements and user value

  • Experience defining success metrics and using data to drive product decisions

  • Excellent communication, stakeholder management, and prioritization skills

Preferred Qualifications

  • Experience launching ML products into production at scale

  • Familiarity with MLOps practices and model lifecycle management

  • Experience with cloud-based ML platforms (AWS, GCP, Azure)

  • Background in AI-driven products such as recommendations, forecasting, NLP, or computer vision

  • Knowledge of regulatory, ethical, and responsible AI considerations

Core Competencies

  • Strategic thinking with strong execution focus

  • Data-driven decision making

  • Customer-centric mindset

  • Ability to manage ambiguity and complex problem spaces

  • Strong cross-functional leadership

Why Join Us

  • Build innovative products powered by cutting-edge machine learning

  • Work closely with talented data science and engineering teams

  • High ownership and visibility across the organization

  • Competitive compensation, benefits, and growth opportunities

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