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Law Enforcement Computer Science Jobs in Virginia

REDLattice

Software Engineer

Quantico, VA · On-site

... law enforcement, defense, and national security operations. With offices in Northern Virginia ... S.) degree in Computer Science, Computer Engineering, Software Engineering, or a related technical ...

REDLattice

Software Engineer

Quantico, VA

... law enforcement, defense, and national security operations. With offices in Northern Virginia ... Bachelors (B.S.) degree in Computer Science, Computer Engineering, Software Engineering, or a ...

REDLattice

Software Engineer

Quantico, VA · On-site

... law enforcement, defense, and national security operations. With offices in Northern Virginia ... S.) degree in Computer Science, Computer Engineering, Software Engineering, or a related technical ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or ...

RIVIDIUM

Data Scientist- Senior

Quantico, VA

Bachelor?s or Master?s degree in Computer Science, Data Science, Statistics, Applied Mathematics ... Familiarity with federal law enforcement (LE) systems or prior experience in LE environments Work ...

RiVidium, Inc

Data Scientist- Senior

Quantico, VA · On-site

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics ... Familiarity with federal law enforcement (LE) systems or prior experience in LE environments Work ...

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All JobsLaw Enforcement Computer Science JobsLaw Enforcement Computer Science Jobs in Virginia

Law Enforcement Computer Science information

See Virginia salary details

$35.2K

$88.1K

$135.3K

How much do law enforcement computer science jobs pay per year?

As of Jul 19, 2026, the average yearly pay for law enforcement computer science in Virginia is $88,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $97,700.00 per year, depending on experience, location, and employer.

Does the FBI hire computer science majors?

Yes, the FBI hires computer science majors for roles such as Cyber Special Agents and Cyber Analysts, which involve cybersecurity, digital forensics, and information technology. Candidates typically need relevant degrees, security clearances, and technical skills in programming, networking, and systems analysis.

What is law enforcement computer science?

Law enforcement computer science is a specialized field that combines principles of computer science with law enforcement practices. Professionals in this area use technology to investigate cybercrimes, analyze digital evidence, and develop software tools to support policing activities. They may work on tasks such as digital forensics, cybersecurity, crime data analysis, and the development of crime-fighting technologies. This field plays a critical role in modern policing by helping agencies prevent, detect, and solve crimes involving digital devices and networks.

What actor was a cop in real life?

One notable actor who was a real-life police officer is Fred Williamson, who served as a police officer before becoming an actor. Such individuals often bring authentic experience to law enforcement roles in film and television, which can enhance their performances. However, most actors portraying police officers do not have law enforcement backgrounds unless specifically noted.

How does a Law Enforcement Computer Science professional typically collaborate with investigative teams during a cybercrime case?

Law Enforcement Computer Science professionals work closely with investigative teams by analyzing digital evidence, tracing cybercriminal activities, and translating technical findings into actionable insights for detectives and prosecutors. They often participate in case briefings, help develop strategies for collecting electronic evidence, and provide expert testimony when needed. This collaborative environment requires strong communication skills and the ability to explain complex technical concepts to non-technical team members, ensuring seamless integration of digital investigations into broader law enforcement operations.

What is the difference between Law Enforcement Computer Science vs Cybersecurity Analyst?

AspectLaw Enforcement Computer ScienceCybersecurity Analyst
Required CredentialsComputer science degree, law enforcement training, certifications like CISSP or CEHComputer science or cybersecurity degree, certifications like CISSP, CEH, or CompTIA Security+
Work EnvironmentLaw enforcement agencies, government offices, field operationsCorporate offices, security firms, government agencies
Employer & IndustryLaw enforcement agencies, government sectorsPrivate companies, cybersecurity firms, government agencies
Common Search & ComparisonYesYes

Law Enforcement Computer Science professionals focus on applying computer science skills within law enforcement settings, often involving digital forensics and investigations. Cybersecurity Analysts primarily work to protect organizational systems from cyber threats. While both roles require similar technical credentials and certifications, their work environments and objectives differ significantly, with law enforcement roles emphasizing investigative work and cybersecurity roles focusing on threat prevention and security management.

Can I be a police officer with a computer science degree?

A computer science degree can be valuable for law enforcement roles that involve cybercrime investigation, digital forensics, or cybersecurity. However, becoming a police officer typically requires meeting specific law enforcement training and certification requirements, which vary by jurisdiction, regardless of educational background. Combining a computer science degree with law enforcement training can enhance career opportunities in specialized units.

Is 27 too late to become a cop?

Law enforcement careers often accept applicants in their late 20s, and 27 is generally not too late to become a police officer. Many departments value maturity and life experience, and candidates typically need to meet minimum age requirements, which are often 18 or 21, depending on the jurisdiction. Completing required training and passing background checks are essential steps regardless of age.

What are the key skills and qualifications needed to thrive as a Law Enforcement Computer Science professional, and why are they important?

To thrive as a Law Enforcement Computer Science professional, you need a solid background in computer science, cybersecurity principles, and digital forensics, often supported by a relevant degree or certifications such as CISSP or CompTIA Security+. Familiarity with forensic analysis tools, network monitoring systems, and evidence management software is typically required. Strong analytical thinking, attention to detail, and effective communication help professionals excel in investigations and collaboration with diverse teams. These skills and qualities are crucial for ensuring the integrity of digital evidence and supporting successful law enforcement operations in increasingly technology-driven environments.
What are popular job titles related to Law Enforcement Computer Science jobs in Virginia? For Law Enforcement Computer Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Law Enforcement Computer Science jobs in Virginia look for? The top searched job categories for Law Enforcement Computer Science jobs in Virginia are:
What cities in Virginia are hiring for Law Enforcement Computer Science jobs? Cities in Virginia with the most Law Enforcement Computer Science job openings:
Law Enforcement Computer Science jobs near you
Machine Learning Engineer - Computer Vision

Machine Learning Engineer - Computer Vision

CaseGuard

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

We are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models focused on image and video processing. You will work closely with cross-functional teams to design, implement, and optimize vision-based AI solutions to address real-world challenges.
Key Responsibilities:
  • Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition.
  • Optimize and fine-tune deep learning algorithms for real-time performance.
  • Work closely with the software engineers and product teams to identify opportunities for leveraging data.
  • Collect, clean, and preprocess large datasets to prepare for model training and evaluation.
  • Evaluate and optimize machine learning models for accuracy, performance, and scalability.
  • Deploy models into production environments and monitor their performance to ensure reliability.
  • Stay up-to-date with the latest advancements in computer vision and artificial intelligence.
  • Collaborate with cross-functional teams to integrate machine learning solutions into business processes.
  • Document processes, models, and implementations to ensure reproducibility and scalability.

Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools.
  • Experience with data manipulation tools such as Pandas, NumPy, and SQL.
  • Strong programming skills in Python and C++.
  • Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm.
  • Proficiency in working with image and video data, including preprocessing and augmentation techniques.
  • Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning.
  • Strong communication skills and the ability to work collaboratively in a team environment.

Great to have:
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Experience with version control systems such as Git.
  • Understanding software engineering best practices, including code review, testing, and documentation.
  • Experience with Large Language Models (LLMs) is a great plus.
  • Experience with data annotation tools and processes.

Benefits:
  • Competitive Salary
  • Stock Option
  • Medical, Dental, and Vision Insurance
  • 401K
  • Paid Vacation
  • Ten paid holidays per year
  • Friendly and Learning environment

About CaseGuard
CaseGuard is a software company that helps law enforcement agencies, federal agencies, hospitals, schools, airports, and others manage all their media redaction needs in one easy-to-use redaction software. CaseGuard Studio is one of a kind. Our team is driven by a passion for great software design, creating great products, and creative processes; CaseGuard implements innovative ideas across multiple services and agencies. We invest in people. We nurture skills consistent with our values and our future strategy. Our passionate pursuit of excellence, the application of our creativity to solve our clients' challenges, our technical expertise, and our collaborative spirit are measures of our success.

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