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Help Nlp Engineer Jobs in Texas (NOW HIRING)

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

Beyond technical depth, you will influence strategy, mentor emerging talent, and help shape our ... Experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

Apply a broad range of modelling techniques - including time-series forecasting, NLP ... help raise the overall standard of analytical and engineering practice across the team ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

Apply a broad range of modelling techniques - including time-series forecasting, NLP ... help raise the overall standard of analytical and engineering practice across the team ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

Apply a broad range of modelling techniques - including time-series forecasting, NLP ... help raise the overall standard of analytical and engineering practice across the team ...

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning. - Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source ...

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that ... Natural language processing (NLP) * Free-text analytics * Machine learning (ML) algorithms

... NLP or document intelligence use cases. • Familiarity with data storage formats and databases (e ... Company : Helping enterprises select, implement, & integrate the perfect-fit solution within ...

Senior Machine Learning Engineer

Houston, TX · On-site

$116K - $154K/yr

... NLP, classification, and generative AI - to commodity pricing, supply/demand signals, trade flow ... help raise the overall standard of analytical and engineering practice across the team ...

... NLP insights into actionable features for product and engineering teams. * Design tests for search ... help set the standard for how our team uses AI. Actively evaluate and adopt new tooling as the ...

... NLP insights into actionable features for product and engineering teams. * Design tests for search ... help set the standard for how our team uses AI. Actively evaluate and adopt new tooling as the ...

Senior Data Scientist

Austin, TX · On-site

$140 - $195/hr

... NLP insights into actionable features for product and engineering teams. * Design tests for search ... help set the standard for how our team uses AI. Actively evaluate and adopt new tooling as the ...

New

... help teams adopt and apply AI effectively. You will work across front-end, back-end, and AI ... Proven success with Generative AI, NLP/NLU, and AI agent frameworks . * Experience leading AI ...

We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate ... Experience in LangGraph, LangChain, RAG chatbots, vector databases, NLP-based automation, MCP ...

AI Engineer III

San Antonio, TX · On-site +1

$120K - $140K/yr

We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate ... Experience in LangGraph, LangChain, RAG chatbots, vector databases, NLP-based automation, MCP ...

Showing results 21-40

Help Nlp Engineer information

What is the difference between Help Nlp Engineer vs Nlp Engineer?

AspectHelp Nlp EngineerNlp Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may accept certificationsBachelor's or Master's in CS, AI, or related; strong programming and ML skills
Work EnvironmentCollaborative teams, research labs, or tech companies focusing on NLP projectsDevelopment teams, research groups, or product-focused environments in AI companies
Employer & Industry UsageUsed in tech firms, startups, and research institutions working on NLP solutionsCommonly employed in similar settings, often with more advanced responsibilities

The main difference is that Help Nlp Engineers often focus on supporting NLP projects with basic tasks, while Nlp Engineers handle more complex development and implementation. Both roles require similar educational backgrounds and work in comparable environments, but Nlp Engineers typically have more experience and responsibility.

What cities in Texas are hiring for Help Nlp Engineer jobs? Cities in Texas with the most Help Nlp Engineer job openings:
Infographic showing various Help Nlp Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, and 4% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

AI Engineer, Data Science

Future Secure AI

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 26 days ago


Job description

About the Company
At Future Secure AI, we're building something genuinely new - and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall - they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
About the Role
As a Senior AI Engineer - Data Science, you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine learning systems-particularly LLM-driven solutions-that solve high-value, real-world problems for enterprise clients.
You'll be part of a culture that prizes technical excellence, creativity, and continuous learning. Beyond technical depth, you will influence strategy, mentor emerging talent, and help shape our approach to responsible and scalable AI.
Your work will directly contribute to AI systems that have the potential to transform industries-and society.
Responsibilities
  • Architect, build, and deploy machine learning models and LLM systems that drive meaningful impact for our products and users
  • Analyse complex, large-scale structured and unstructured datasets to uncover insights and opportunities
  • Enhance LLM output quality across diverse use cases, including optimisation of multi-step reasoning chains
  • Lead MLOps initiatives including model performance tracking, benchmark design, quality assurance, and compliance
  • Influence long-term data and AI strategy, including governance, ethical AI, and scalable frameworks
  • Collaborate closely with engineering, product, and executive stakeholders to deliver innovative, production-ready solutions
  • Mentor and uplift junior data scientists, setting standards for excellence

Minimum Qualifications
  • Bachelor's Degree in Mathematics, Statistics, Computer Science or a related field
  • 5+ years of experience as a Data Scientist with hands-on experience and a track record of delivering impactful ML and AI outcomes
  • Experience within the AI sector
  • Experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP
  • Commercial experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multi-agent frameworks, GPT-based systems)
  • Python experience focused on machine learning and NLP
  • Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders
  • Empathy, humility, and a growth mindset-open to feedback and committed to collaboration
  • Comfort working in an agile, fast-evolving environment

Preferred Qualifications
  • Masters Degree or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related field
  • Knowledge of other software languages in addition to Python

Why Join Us?
  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.