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Anomaly Detection Jobs (NOW HIRING)

Appgate

Principal Machine Learning Engineer

Manhattan, NY · On-site

$220K - $265K/yr

Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis. * Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model ...

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Anomaly Detection information

What is anomaly detection?

An Anomaly Detection job involves identifying unusual patterns or deviations in data that do not conform to expected behavior. Professionals in this role use statistical methods, machine learning, and AI techniques to detect fraudulent activities, network intrusions, or system failures. They work in various industries such as finance, cybersecurity, healthcare, and manufacturing. Responsibilities may include data preprocessing, model training, and real-time anomaly detection to improve security and operational efficiency.

What does someone working in anomaly detection do?

Professionals in Anomaly Detection typically spend their days analyzing large datasets to identify unusual patterns or behaviors that could indicate errors, fraud, or other significant events. They build and maintain models using statistical techniques and machine learning algorithms, validate detected anomalies, and collaborate closely with data engineers, cybersecurity teams, or business analysts depending on the industry. Regular reporting of findings, tuning detection systems for accuracy, and staying updated with emerging methodologies are also important aspects of the job. The role often requires working both independently and as part of a multidisciplinary team to ensure timely and actionable insights are delivered.

What are the key skills and qualifications needed to thrive in anomaly detection?

To thrive in an Anomaly Detection role, you need a strong background in data analysis, statistics, and machine learning, often supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, and experience using data analysis tools such as TensorFlow, Scikit-learn, or specialized anomaly detection frameworks, are typically required. Strong problem-solving skills, attention to detail, and effective communication enhance your ability to interpret findings and share insights with cross-functional teams. These skills are essential for accurately identifying unusual patterns in data and contributing to an organization's data-driven decision-making processes.

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Anomaly Detection jobs near you
Infographic showing various Anomaly Detection job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI/ML Cybersecurity Engineer (Anomaly Detection)

RTL Networks Inc

Placentia, CA • On-site

$125K - $140K/yr

Full-time

Re-posted 4 days ago

Job description

Description:

Position Title: AI/ML Cybersecurity Engineer (Anomaly Detection)

Location: Placentia, CA


Pay Rate: The annual salary range for this position is $125,000 - $140,000. Please note that the salary information is a general guideline only. RTL Networks considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.

Status: Full-time / On-site with ability to travel to China Lake one week per quarter.

Required Clearance: Secret

Required Certification(s): n/a


About Us: RTL Networks, Inc. is a rapidly growing company primarily focused on providing information technology (IT) support services and personnel to various commercial and government customers for extended-term contracts. By providing a wide array of professional services and products, we help our customers leverage technology and operate confidently in their technology environments to ensure resource predictability, security, and reliability to meet business objectives.

Summary:

RTL Networks has an exciting opportunity for a DOD Secret cleared AI/ML Cybersecurity Engineer working as a member of a team applying AI/ML techniques for anomaly detection.


Primary Responsibilities:

Essential responsibilities of the AI/ML Cybersecurity Engineer include, but are not limited to:

  • Must have proven track record of success applying AI/ML techniques to detect anomalies or other cybersecurity-relevant events.
  • Must be strong in Python, Pandas, C/C++.
  • Must have strong cybersecurity background and knowledge.
  • Should have experience working with/developing embedded DoD devices.
  • Strong problem-solving, troubleshooting, and analysis skills.
  • Ability to work independently.
  • Excellent written & verbal communication skills.
  • Availability to travel one week per quarter.

Qualifications:

  • Bachelor’s degree or higher in a STEM related discipline with 10+ years of experience.
  • Must have current/active SECRET DoD Clearance.

Physical Demands:

  • Must be able to lift up to 15 pounds.
  • Must be able to stand and walk for prolonged amounts of time.
  • Must be able to twist, bend and squat periodically.

SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. US Citizenship is a requirement for clearance at this location.


NOTE:

  • The applicant selected for this position must have and be able to maintain an Active Security Clearance.
  • U.S. Citizenship required.
  • Applicants must have a valid driver’s license for this position and will be subject to verification.
  • Chosen applicants must pass pre-employment drug screening, credit review, and a criminal background check.
We are an Equal Opportunity Employer, Females/Minority/Veterans/Disabled/Sexual Orientation/Gender Identity/Religion/National Origin



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Requirements: