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Cyber Security Machine Learning Jobs (NOW HIRING)

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... Familiarity with Cybersecurity (Mandiant) * AWS Cloud experience * Experience with Graph Analysis

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... Familiarity with Cybersecurity (Mandiant) * AWS Cloud experience * Experience with Graph Analysis

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... Familiarity with Cybersecurity (Mandiant) * AWS Cloud experience * Experience with Graph Analysis

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... Familiarity with Cybersecurity (Mandiant) * AWS Cloud experience * Experience with Graph Analysis

Koitecc Solutions

Machine Learning Engineer

Chantilly, VA · On-site

$120 - $180/hr

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... Familiarity with Cybersecurity (Mandiant) * AWS Cloud experience * Experience with Graph Analysis

Sift

Machine Learning Engineer

San Francisco, CA · On-site

$160 - $230/hr

As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large ... Experience explicitly in the fraud detection, risk mitigation, or cyber-security domains. * Deep ...

Sift Science, Inc

Machine Learning Engineer

San Francisco, CA · On-site

$134K - $162K/yr

As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large ... Experience explicitly in the fraud detection, risk mitigation, or cyber-security domains. * Deep ...

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Cyber Security Machine Learning information

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$60.5K

$144.5K

$192.5K

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

As of Aug 18, 2026, the average yearly pay for cyber security machine learning in the United States is $144,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $164,000.00 per year, depending on experience, location, and employer.

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.

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Cyber Security Machine Learning jobs near you
Infographic showing various Cyber Security Machine Learning job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $144,461 per year, or $69.5 per hour.

Machine Learning Engineer

Nou Systems Inc

Colorado Springs, CO • On-site

$100K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

nou Systems, Inc. (nSI) is a 100% ESOP company solving challenging defense problems in an enjoyable, stimulating environment. We support mission areas including missile defense, battle management, cybersecurity, test range modernization, biotechnology, and space control.
We are pleased to announce an opening for a Machine Learning Engineer who will join our team in Colorado Springs, Colorado. You will help design, develop, and deploy machine learning capabilities across research, prototype, and operationally relevant defense applications.
We are looking for a mid-level engineer with strong fundamentals in machine learning, backend software development, and data science. The ideal candidate can collaborate with teammates to move ML capabilities from concept toward usable systems.
Responsibilities
  • Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing modular, maintainable, and testable code.
  • Build backend software components that support ML workflows, data processing, model evaluation, and system integration.
  • Help identify, prepare, and validate training and evaluation datasets.
  • Implement and adapt ML methods from open literature, including supervised learning and deep learning approaches.
  • Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH, Docker/Podman, and contribute to continuous improvement of development processes.
  • Use GitLab-based workflows for source control, issue tracking, merge requests, code review, and collaboration.
  • Communicate technical results clearly through written documentation, presentations, and team discussions.
  • Support multiple project teams and help translate ML concepts into practical engineering solutions.

Basic Qualifications
  • Bachelor's degree in computer science, mathematics, software engineering, data science, or a closely related technical field.
  • 3+ years of professional experience in machine learning, data science, or backend software development.
  • Hands-on experience developing, training, or evaluating deep learning models using PyTorch.
  • Professional experience building backend software, data pipelines, APIs, or system integration components.
  • U.S. citizenship and the ability to obtain a Secret security clearance.

Preferred Qualifications
  • Strong communication skills, intellectual curiosity, and comfort working across ML, software, and mission-domain teams. Our work often requires creative, multidisciplinary approaches.
  • Understanding of core ML and statistical concepts (bias-variance tradeoff, data mismatch, sample sufficiency)
  • Comfort with self-direction. You'll work with our top technical talent, but we're looking for evidence you can diagnose a problem and approach it strategically.
  • Experience with Docker, Podman, or similar containerization tools, including editing Dockerfiles or container configuration.
  • Experience with ML tools (MLflow, Optuna, or PyTorch Lightning)
  • Experience with RL development using Gymnasium and Ray RLlib.
  • Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or LlamaIndex.
  • Familiarity with CI/CD pipelines, Kubernetes, DevSecOps practices, secure artifact repositories, or deployment in restricted DoD environments.

Position Details
  • This is an in-office role requiring presence at least 4 days per week.
  • Annual Salary Range: $100,000 - $160,000

nou (pronounced 'new') Systems:
Since its founding in 2012, nou Systems has built a reputation for excellence in innovative engineering, prototype development, and technical and professional services in multiple markets, including missile defense, cybersecurity, test range modernization, and space control. Our diverse and highly skilled team delivers state-of-the-art products from concepts and prototypes to fully developed and integrated solutions.
We offer significant advancement and personal career development opportunities within our dynamic high-tech company. Our culture is firmly established in treating our employees like family.
Benefits of working at nSI
nou Systems, Inc. offers a comprehensive, total rewards package that includes competitive compensation and diverse benefits that reflect our company culture of service, excellence, and a supportive work environment. Benefits may vary based on status but the majority of our positions include the following:
  • Competitive Wages*
  • Medical, Rx, Dental & Vision Insurance
  • Medical plan with Health Savings Account eligibility
  • Generous company-funded Basic Life Insurance
  • Company-funded Short-Term & Long-Term Disability
  • Optional Accident and Critical Illness Insurance
  • Personal Time Off, Annual Leave, and Paid Federal Holidays
  • 401(k) Retirement Plan
  • Employee Stock Ownership Plan (ESOP)
  • Tuition Reimbursement for ongoing training, continuing education, or advanced degree programs
  • Personal Development, Learning Opportunities, & Lunch-n-Learns
  • Opportunities for Advancement
  • Skills Development & Certifications
  • Employee Referral Bonus Program
  • Corporate Sponsored Events & Community Outreach

*Final compensation for this position is determined by a variety of factors, such as a candidate's relevant work experience, skills, certifications, and geographic location.
nSI is an Equal Opportunity Employer
Employment opportunities at nSI are based upon a candidate's qualifications and capabilities to perform the essential functions of a particular job and are free from discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law. For our complete EEO/AA and Pay Transparency statement, please visit U.S. citizenship is required for most positions.

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