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Machine Learning Defense Jobs in Coppell, TX (NOW HIRING)

Cyber Manager - AI SOC

Fort Worth, TX · On-site

$106K - $143K/yr

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

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Machine Learning Defense information

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$23.5K

$39.3K

$81.2K

How much do machine learning defense jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning defense in Coppell, TX is $39,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,500.00 per year, depending on experience, location, and employer.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.

What are the key skills and qualifications needed to thrive as a machine learning defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What are popular job titles related to Machine Learning Defense jobs in Coppell, TX?

For Machine Learning Defense jobs in Coppell, TX, the most frequently searched job titles are:

What cities near Coppell, TX are hiring for Machine Learning Defense jobs?

Cities near Coppell, TX with the most Machine Learning Defense job openings:

Cyber Manager - AI SOC

Deloitte

Fort Worth, TX • On-site

$106K - $143K/yr

Full-time

Re-posted 9 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description


As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security engineering solutions across client environments, with a focus on modernizing security operations through security information and event management, security orchestration automation and response, detection engineering, telemetry, automation, and artificial intelligence-enabled workflows. In this embedded, client-facing role, you will work directly with client stakeholders to understand operational pain points, design practical solutions, and deploy capabilities in live or near-live environments. You will help translate ambiguous requirements into production-ready workflows, integrations, detections, and automation outcomes.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Manager - Cyber Defense and Resilience on the Cyber Defense & Resilience team, you will be responsible for:

  • Leading the design and implementation of secure, scalable security operations solutions across security information and event management, security orchestration automation and response, telemetry, case management, and response platforms
  • Serving as an embedded engineering lead with client teams to translate operational workflows and requirements into production-ready security capabilities
  • Overseeing the deployment of log ingestion, normalization, enrichment, routing, detection, and orchestration workflows using application programming interfaces, connectors, and data pipelines
  • Guiding the application of automation and artificial intelligence to security operations use cases such as triage assistance, workflow orchestration, alert summarization, and response recommendations
  • Mentoring junior practitioners and contributing reusable engineering assets, accelerators, and implementation patterns that support client delivery and practice growth

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Defense & Resilience team helps clients defend against advanced threats by improving security operations, detection engineering, monitoring, automation, analytics, and threat intelligence capabilities. The team works with organizations to strengthen operational resilience, manage evolving attack surfaces, and improve readiness, response, and recovery through scalable engineering and transformation solutions.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related field, or equivalent work experience
  • 10+ years of experience in security operations, detection engineering, security engineering, or enterprise cyber defense
  • Hands-on experience designing, implementing, and optimizing security information and event management, security orchestration automation and response, detection, telemetry, and response workflows across one or more enterprise security platforms
  • Experience building and maintaining integrations, automations, and engineering workflows using Python or a similar scripting language
  • Experience working directly with clients or internal stakeholders to translate operational requirements into technical solutions
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience across multiple security platforms such as security information and event management, security orchestration automation and response, extended detection and response, attack surface management, threat intelligence platforms, endpoint detection and response, and case management tools
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry and cloud-native security services
  • Experience with threat hunting, cyber threat intelligence, or purple team collaboration
  • Experience applying artificial intelligence, machine learning, or large language model workflows to security operations, including orchestration, retrieval, evaluation, or human-in-the-loop response patterns
  • Experience with frameworks or tools that support artificial intelligence-enabled engineering workflows
  • Relevant industry certifications such as Security+, Global Information Assurance Certification Security Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global Information Assurance Certification Certified Incident Handler, Certified Information Systems Security Professional, Certified Cloud Security Professional, Splunk, cloud security, or related engineering certifications

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCDR27

Qualifications:

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security engineering solutions across client environments, with a focus on modernizing security operations through security information and event management, security orchestration automation and response, detection engineering, telemetry, automation, and artificial intelligence-enabled workflows. In this embedded, client-facing role, you will work directly with client stakeholders to understand operational pain points, design practical solutions, and deploy capabilities in live or near-live environments. You will help translate ambiguous requirements into production-ready workflows, integrations, detections, and automation outcomes.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Manager - Cyber Defense and Resilience on the Cyber Defense & Resilience team, you will be responsible for:

  • Leading the design and implementation of secure, scalable security operations solutions across security information and event management, security orchestration automation and response, telemetry, case management, and response platforms
  • Serving as an embedded engineering lead with client teams to translate operational workflows and requirements into production-ready security capabilities
  • Overseeing the deployment of log ingestion, normalization, enrichment, routing, detection, and orchestration workflows using application programming interfaces, connectors, and data pipelines
  • Guiding the application of automation and artificial intelligence to security operations use cases such as triage assistance, workflow orchestration, alert summarization, and response recommendations
  • Mentoring junior practitioners and contributing reusable engineering assets, accelerators, and implementation patterns that support client delivery and practice growth

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Defense & Resilience team helps clients defend against advanced threats by improving security operations, detection engineering, monitoring, automation, analytics, and threat intelligence capabilities. The team works with organizations to strengthen operational resilience, manage evolving attack surfaces, and improve readiness, response, and recovery through scalable engineering and transformation solutions.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related field, or equivalent work experience
  • 10+ years of experience in security operations, detection engineering, security engineering, or enterprise cyber defense
  • Hands-on experience designing, implementing, and optimizing security information and event management, security orchestration automation and response, detection, telemetry, and response workflows across one or more enterprise security platforms
  • Experience building and maintaining integrations, automations, and engineering workflows using Python or a similar scripting language
  • Experience working directly with clients or internal stakeholders to translate operational requirements into technical solutions
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience across multiple security platforms such as security information and event management, security orchestration automation and response, extended detection and response, attack surface management, threat intelligence platforms, endpoint detection and response, and case management tools
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry and cloud-native security services
  • Experience with threat hunting, cyber threat intelligence, or purple team collaboration
  • Experience applying artificial intelligence, machine learning, or large language model workflows to security operations, including orchestration, retrieval, evaluation, or human-in-the-loop response patterns
  • Experience with frameworks or tools that support artificial intelligence-enabled engineering workflows
  • Relevant industry certifications such as Security+, Global Information Assurance Certification Security Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global Information Assurance Certification Certified Incident Handler, Certified Information Systems Security Professional, Certified Cloud Security Professional, Splunk, cloud security, or related engineering certifications

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCDR27

Education:Bachelor's DegreeEmployment Type:

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