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Director Cyber Security Machine Learning Jobs in Houston, TX

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Lead Cybersecurity Architect

Houston, TX · On-site

$137K - $185K/yr

  • Medical

  • Retirement

As a Lead Cybersecurity Architect in Cybersecurity Technology & Controls within JPMorgan Chase, you ... machine learning, mobile, etc.) * In-depth knowledge of the financial services industry or ...

... cybersecurity * Experience with container security, application security, or DevSecOps practices * Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS ...

Senior Security Engineer

Houston, TX · On-site

$109K - $149K/yr

AI & Machine Learning for Cybersecurity * Security Automation & Orchestration * Threat Detection & Detection Engineering * Security Data Lakes & Analytics * REST APIs & Platform Integration * Cloud ...

Cyber - Google Cloud Security - Manager

Houston, TX · On-site

$106K - $143K/yr

... cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever ... machine learning security, container security, data protection, monitoring, and secure delivery

The director will lead and mentor a team of data scientists and AI engineers to build and ... Machine Learning & AI: Deep learning, NLP, generative AI, predictive analytics, reinforcement ...

IT Data Analytics Director

Houston, TX · On-site

$180 - $260/hr

Ensure alignment between enterprise IT, cloud, cybersecurity, operational technology (OT), and ... Experience implementing and governing artificial intelligence, machine learning, and generative AI ...

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Showing results 1-20

Director Cyber Security Machine Learning information

See Houston, TX salary details

$38.7K

$117.4K

$171.9K

How much do director cyber security machine learning jobs pay per year?

As of Aug 15, 2026, the average yearly pay for director cyber security machine learning in Houston, TX is $117,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $135,600.00 per year, depending on experience, location, and employer.

What is the difference between Director Cyber Security Machine Learning vs Cyber Security Data Scientist?

AspectDirector Cyber Security Machine LearningCyber Security Data Scientist
Required CredentialsBachelor's/Master's in CS, Cybersecurity, or related; certifications like CISSP, CEH; experience in ML and securityBachelor's/Master's in CS, Data Science, or related; certifications like CISSP, GIAC; strong data analysis skills
Work EnvironmentLeads security teams, develops ML models for threat detection, strategic planningAnalyzes security data, develops models, supports security teams with insights
Employer & Industry UsageUsed in cybersecurity firms, large enterprises, government agenciesCommon in tech companies, cybersecurity firms, research institutions

The main difference is that the Director Cyber Security Machine Learning oversees security teams and strategic ML initiatives, while the Cyber Security Data Scientist focuses on analyzing data and developing models to support security operations.

What cities near Houston, TX are hiring for Director Cyber Security Machine Learning jobs?

Cities near Houston, TX with the most Director Cyber Security Machine Learning job openings:

Infographic showing various Director Cyber Security Machine Learning job openings in Houston, TX as of August 2026, with employment types broken down into 75% Full Time, 19% Part Time, 2% Temporary, and 4% Contract. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $117,356 per year, or $56.4 per hour.

AI/ML Engineer - Cybersecurity

Scan Ninja Inc.

Houston, TX • On-site

$100 - $130/hr

Other

Posted 9 days ago


Job description

You will work on applied AI systems that drive real security outcomes, not just benchmark scores. This role focuses on model quality, reliability, observability, and measurable impact for enterprise customers.

Responsibilities
  • Fine-tune, evaluate, and improve LLM workflows for vulnerability triage
  • Build data pipelines for training, evaluation, and feedback collection
  • Work closely with security engineers to validate model outputs in real-world scenarios
  • Define and monitor model quality, reliability, and production metrics
  • Ship AI features safely using staged rollouts and appropriate controls
Requirements
  • Experience building and shipping machine learning or AI systems
  • Strong knowledge of NLP, LLMs, and modern model workflows
  • Working knowledge of cybersecurity concepts and use cases
Must Have
  • Production experience with machine learning systems
  • Strong Python skills and a solid foundation in model evaluation
  • Experience with prompt design, retrieval workflows, and LLM application patterns
  • Ability to make practical tradeoffs between quality, latency, and cost
Nice to Have
  • Experience with adversarial machine learning or secure AI systems
  • Background in vulnerability management or cybersecurity operations
  • Hands-on experience with vector databases and retrieval systems
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