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Deep Learning Jobs in Houston, TX (NOW HIRING)

W3Global

Senior Data Scientist

Houston, TX · On-site

Machine Learning (ML) Deep Learning (DL): Hands-on experience with: Generative AI (LLMs, RAG systems) Exposure to: Claude / Anthropic-based development (or similar GenAI tools) Strong communication ...

Accenture

AI/ML Computational Science Manager

Houston, TX · On-site

$94K - $293K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of 5 years of experience in machine learning, deep learning, or demonstrated proficiency in Natural Language Processing (NLP) * Minimum of 5 years of experience with AI/ML and cognitive ...

Bot Auto

Senior ML/RL Engineer, Behavior Planning

Houston, TX · On-site

$99K - $137K/yr

... of modern deep learning architectures and optimization techniques. • MS or PhD in Computer Science, Robotics, or a related quantitative field. • Ability to diagnose and solve fundamental ...

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to-end AI development lifecycle, including data preprocessing, model training, and deployment.

Lorven Technologies

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

AI/ML Model Development Design, develop, and optimize machine learning and deep learning models. * Build NLP, computer vision, or predictive analytics solutions * Train, test, and evaluate models for ...

Goldenpick Technologies LLC

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and optimize machine learning and deep learning models * Build NLP, computer vision, or predictive analytics solutions * Train, test, and evaluate models for accuracy, scalability ...

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All JobsDeep Learning JobsDeep Learning Jobs in Houston, TX

Deep Learning information

See Houston, TX salary details

$10.5K

$80.1K

$133.6K

How much do deep learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for deep learning in Houston, TX is $80,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,700.00 and $132,700.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a deep learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What is a deep learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the key skills and qualifications needed to thrive in a deep learning position?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What are the most commonly searched types of Deep Learning jobs in Houston, TX?

The most popular types of Deep Learning jobs in Houston, TX are:

What are popular job titles related to Deep Learning jobs in Houston, TX?

For Deep Learning jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Deep Learning jobs in Houston, TX look for?

The top searched job categories for Deep Learning jobs in Houston, TX are:

What cities near Houston, TX are hiring for Deep Learning jobs?

Cities near Houston, TX with the most Deep Learning job openings:

Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $80,108 per year, or $38.5 per hour.

Data Scientist - NLP & AI

VeeRteq Solutions Inc.

Houston, TX • On-site

Other

Re-posted 5 hours ago

Job description

Data Scientist – NLP & AI

Experience: 7+ YearsLocation: Houston, TX – At least two days in office/weekWhat is in it for you?

As a Data Scientist – NLP & AI, you will be part of an agile team focused on building intelligent healthcare solutions by developing advanced NLP modules, integrating LLMs and agentic workflows, and leveraging AWS big data technologies to enhance clinical data processing and usability.

Responsibilities:

  • Analyze and process clinical textual data using AI-powered NLP techniques and advanced machine learning models.

  • Modify and improve current workflows by incorporating cutting-edge machine learning and deep learning algorithms, including leveraging large language models (LLMs) and tools like LangGraph for complex AI agentic workflows in healthcare contexts.

  • Develop NLP modules within the NLP development team using programming or scripting languages such as Python.

  • Conduct pre-processing and quality analysis for textual data inputs and validate performance of NLP outputs.

  • Create systematic testing procedures, error-checking mechanisms, and user manuals for NLP modules.

  • Build infrastructure for optimal extraction, transformation, and loading of data from diverse sources including MCP servers, using SQL and AWS big data frameworks such as EMR and Spark/pySpark.

  • Collaborate with Engineering teams to ensure scalable and efficient data workflows using SQL and AWS big data technologies.

  • Apply working knowledge of AWS services, particularly AWS Bedrock, to develop generative AI applications.

  • Utilize relational databases such as PostgreSQL or MySQL for data storage and retrieval in NLP and AI workflows.

Skills:Mandatory skills

  • Proficiency in Python and scripting languages for NLP and machine learning development.

  • Strong understanding of clinical NLP techniques and experience with machine learning and deep learning models.

  • Hands-on experience with large language models and agentic workflow tools such as LangGraph.

  • Expertise in SQL and big data technologies including AWS EMR and Spark/pySpark.

  • Practical knowledge of AWS services, especially AWS Bedrock for generative AI applications.

  • Experience with relational databases such as PostgreSQL or MySQL.

Good to have skills

  • Familiarity with generative AI applications in healthcare and related use cases.

  • Understanding of healthcare data standards and terminologies such as HL7, FHIR, and CCDA.

  • Experience in creating detailed documentation, user manuals, and technical specifications.

  • Background in automated testing and validation frameworks for NLP outputs.

  • Ability to collaborate effectively with cross-functional teams including engineering and products.

  • Exposure to LangChain or similar frameworks for building intelligent agent workflows.

Educational Qualifications:

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.