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Cyber Security Machine Learning Jobs in Texas (NOW HIRING)

... Machine Learning Models and AI for Cyber Security Operations is a plus Qualifications : Required : • Good understanding of Cybersecurity Incident response processes and workflow • Experience with ...

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

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

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

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

Research experience in machine learning, power systems, or cybersecurity. * Proficiency in Python programming. * Familiarity with machine learning frameworks (e.g., TensorFlow). * Understanding of ...

Research experience in machine learning, power systems, or cybersecurity. * Proficiency in Python programming. * Familiarity with machine learning frameworks (e.g., TensorFlow). * Understanding of ...

Cyber Engagement Program Lead

Spring, TX · On-site

$105K - $161K/yr

Identify opportunities to leverage Generative AI, intelligent agents, machine learning, and workflow automation to streamline cybersecurity processes. * Contribute to AI-powered analytics, dashboards ...

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 ...

Showing results 41-60

Cyber Security Machine Learning information

What is a cyber security machine learning?

A Cyber Security Machine Learning job involves applying machine learning techniques to detect, prevent, and respond to cyber threats. Professionals in this field develop and train models to analyze patterns in network traffic, detect anomalies, and identify potential security breaches. They work with large datasets, security logs, and threat intelligence to automate threat detection and improve defense systems. This role requires expertise in cybersecurity, machine learning, and programming languages like Python. It is crucial in modern security operations to enhance real-time threat detection and reduce response times.

What are the typical challenges faced in a cyber security machine learning position?

Professionals in Cyber Security Machine Learning often face the challenge of balancing the accuracy and performance of machine learning models with real-time threat detection needs. Adapting models to evolving and sophisticated cyber threats requires continuous learning and data refinement, as well as collaboration with cybersecurity analysts to validate findings. Additionally, handling large-scale datasets and maintaining data privacy can be complex. However, these challenges make the work intellectually rewarding and provide ample opportunities for professional growth in a constantly evolving technology landscape.

What are the key skills and qualifications needed to thrive in a cyber security machine learning position?

To excel in a Cyber Security Machine Learning role, you need strong knowledge of cybersecurity principles, machine learning algorithms, programming skills (e.g., Python), and typically a degree in computer science or a related field. Experience with cybersecurity tools (SIEMs, IDS/IPS), machine learning frameworks (such as TensorFlow or PyTorch), and relevant certifications like CISSP or CEH is highly valuable. Problem-solving ability, analytical thinking, and effective communication are standout soft skills for this role. These competencies are vital to proactively identify, analyze, and mitigate evolving cyber threats using advanced automated techniques.

What are the most commonly searched types of Cyber Security Machine Learning jobs in Texas?

The most popular types of Cyber Security Machine Learning jobs in Texas are:

Infographic showing various Cyber Security Machine Learning job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Cyber Automation Engineer / Developer

Houston, TX • On-site

ClifyX
Recruiting and Staffing Services • 51 - 200 employees

Full-time

Re-posted 7 days ago


Job description

Job Summary:
ClifyX is seeking a Cyber Automation Engineer Developer to join their team. The role requires a good understanding of Cybersecurity Incident response processes and proficiency in Python programming, along with experience in various cloud and automation technologies.
Responsibilities:
• The ideal candidate will have a good understanding of Cybersecurity Incident response processes and workflow and previous experience working with Cortex XSOAR or any other Security Orchestration and Automation Response application
• The candidate should be proficient in Python programming with the ability to write and reverse engineer Python programs scripts libraries etc
• They should also have experience using writing and modifying API interfaces building and managing docker images and working with Azure Cloud including CICD Pipelines Azure Repos Key Vault etc
• The candidate should be comfortable using and managing the Linux Operating System particularly RHEL and can use and administer Kubernetes Clusters for Container Orchestration Good problemsolving skills documenting flow and communication are essential
• Experience working with Machine Learning Models and AI for Cyber Security Operations is a plus
Qualifications:
Required:
• Good understanding of Cybersecurity Incident response processes and workflow
• Experience with Cortex XSOAR or other Security Orchestration and Automation Response tools
• Proficient in Python programming
• Experience with API interfaces
• Experience with docker images
• Knowledge of Azure Cloud
• Comfortable with Linux Operating System particularly RHEL
• Experience with Kubernetes Clusters
• Good problem solving and communication skills
Preferred:
• Experience with Machine Learning Models and AI for Cyber Security Operations
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998