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Full Time Cyber Security Machine Learning Jobs (NOW HIRING)

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with ... Regular Full-time Background Check Type: 7 Year Pre-Employment Drug Screen Required: None Position ...

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Austin, TX · On-site

$199K - $331K/yr

  • Medical

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About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Base Salary Range: $199,000-$331,000 USD What We Offer: Full-time employees are eligible for the ...

Machine Learning Engineer

San Antonio, TX · On-site

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Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ...

Machine Learning Engineer

Annapolis Junction, MD · On-site

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Machine Learning Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please ... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ...

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

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About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... full-time employees. Working at Poesis As an early team member, you'll help shape not just the ...

Machine Learning, Deep Learning/neural networks. * Data mining. * Azure ML, Cortana Intelligence ... This is a Full-Time & Permanent job opportunity for you. 2.Only US Citizen, Green Card Holder, GC ...

AI - Cyber Security Engineer - II

Columbus, OH

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Implement machine learning operations (MLOps) practices including deployment automation, monitoring ... Partner with cybersecurity, cloud engineering, data engineering, and application development teams ...

AI - Cyber Security Engineer - II

Alpharetta, GA · On-site

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Implement machine learning operations (MLOps) practices including deployment automation, monitoring ... Partner with cybersecurity, cloud engineering, data engineering, and application development teams ...

AI - Cyber Security Engineer - II

Alpharetta, GA · On-site

  • Medical

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  • Retirement

Implement machine learning operations (MLOps) practices including deployment automation, monitoring ... Partner with cybersecurity, cloud engineering, data engineering, and application development teams ...

Showing results 41-60

Full Time Cyber Security Machine Learning information

See salary details

$45K

$93.2K

$145K

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

As of Aug 18, 2026, the average yearly pay for full time cyber security machine learning in the United States is $93,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $112,000.00 per year, depending on experience, location, and employer.

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

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

Cyber Machine Learning Engineer, Senior

Booz Allen Hamilton

Arlington, VA • On-site

$99K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 23 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

Cyber Machine Learning Engineer, Senior

The Opportunity:

Are you interested in accelerating the pace of cyber defense and threat hunting with machine learning? Do you want to be part of a driven, mission-oriented team? As a Cyber Machine Learning Engineer at Booz Allen, you will have an opportunity to contribute to novel and impactful work using your machine learning and cybersecurity expertise to enable and automate near real-time detection and defense for Department of Defense, federal, and commercial clients. You will incorporate open-source tools, innovative methods, and cloud resources to cut down on false positive alerts and time to detection. You will implement continuous integration and delivery to limit manual testing and troubleshooting.

You will identify opportunities for effective applications of machine learning to unique cyber defense use cases. You'll build, train, and package production-ready models in service of detection of advanced persistent threats, adhering to software development best practices. You'll stay aware of latest research in machine learning and cybersecurity, demonstrating a history of intellectual curiosity and interest towards developing novel solutions for challenging problem sets. The problems we solve are not found in textbooks and require creative solutions. You will work on the cutting edge of operational technologies for cybersecurity settings.

This is an opportunity to build your experience in cyber defense and machine learning while developing models and software that will defend the nation. Join our team as we build tools to transform the future. The position is located in Arlington, VA.

Join us. The world can't wait.

You Have:

  • 2+ years of experience with cyber threat hunting and analysis of compromises within security logs, including endpoint and network data

  • 2+ years of experience exploring datasets, training machine learning models to perform inference, and utilizing the output to further cyber investigations

  • Experience with MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms, including seQure

  • Experience packaging and deploying production-level models using Python, Bash, Docker, or Kubernetes

  • Experience with data warehousing, ETL, or data streaming technologies, including Kafka

  • Experience with SIEM technologies such as Splunk or ElasticSearch

  • Experience with developing novel solutions for challenging problems

  • Top Secret clearance

  • Bachelor's degree

Nice If You Have:

  • Experience working with large language models (LLMs), natural language processing (NLP), and data science workflows

  • Experience with data brokers, including Kafka, Confluent, Benthos, RedPanda, or RabbitMQ

  • Experience with cloud platforms, including Azure, AWS, or GovCloud, or distributed systems

  • TS/SCI clearance with a polygraph

  • Master's degree preferred; Doctorate degree a plus

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914