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Machine Learning Splunk Jobs (NOW HIRING)

Qmulos

Senior Splunk Architect

Washington, DC · On-site

C. seeking a Senior Splunk Architect to develop security-focused content for complex client Splunk ... machine learning algorithms, and mitigation methods. • Engineer, configure, and deploy Enterprise ...

Perfict

Splunk Engineer

Plano, TX · On-site

They are seeking a Splunk Engineer to support the connectivity organization by creating dashboards, monitors, and alerts for incident response and to leverage Machine Learning for anomaly detection.

CACI

Machine Learning Engineer

Chantilly, VA

$131K - $290K/yr

Machine Learning Engineer Job Category: Information Technology Time Type: Full time Minimum ... Splunk Contributions to open-source ML projects and familiarity with Agile development ...

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Machine Learning Splunk information

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How much do machine learning splunk jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for machine learning splunk in the United States is $80.95, according to ZipRecruiter salary data. Most workers in this role earn between $74.76 and $88.46 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Splunk vs Data Analyst?

AspectMachine Learning SplunkData Analyst
Required CredentialsKnowledge of Splunk, data science, machine learning certificationsDegree in statistics, mathematics, or related field; data analysis certifications
Work EnvironmentIT, cybersecurity, operations teams using Splunk platformBusiness units, reporting teams, or analytics departments
Employer & Industry UsageTech, finance, cybersecurity, and enterprise sectorsFinance, marketing, healthcare, and retail sectors
Search & Comparison IntentUnderstanding technical skills and platform expertiseAnalyzing data trends and business insights

Machine Learning Splunk professionals focus on leveraging Splunk's platform with machine learning techniques to detect patterns and automate insights, often within IT and security environments. Data Analysts interpret data to inform business decisions across various industries. While both roles handle data, Machine Learning Splunk emphasizes technical platform skills, whereas Data Analysts focus on data interpretation and reporting.

What other helpful pages are available for Machine Learning Splunk?

Other pages related to Machine Learning Splunk:

Infographic showing various Machine Learning Splunk job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $168,372 per year, or $80.9 per hour.

Machine Learning Engineer

Columbia, MD

Maverc Technologies
IT Services • 1 - 10 employees
Learn more about Maverc Technologiesexternal

Full-time

Re-posted 23 days ago

Job description

Become part of a team solving the most significant Cybersecurity & IT Challenges and helping keep the world’s largest and most elite brands safer from cyber threats. At Maverc we have a powerful mindset based on our core values of being accountable, helpful, adaptable, and focused. Maverc Technologies is a proven and effective small business partner and consultant, recognized as a leader in providing cyber security and IT services to the Federal, State, and local Government and within the Intelligence Community. Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate customers.



Job Duties and Responsibilities 

A talented Machine Learning Engineer to support our AI Center of Excellence! In this role, you and your team will be responsible for the entire lifecycle of machine learning models, from managing and deploying them to troubleshooting any pipeline issues that arise. We offer a collaborative environment where you will work closely with engineers and data scientists to bring impactful ML solutions to life.

Responsibilities include, but are not limited to:

  • Manage and deploy machine learning models into production
  • Debug and troubleshoot issues with deployment pipelines
  • Utilize and understand core ML tooling
  • Work with dataframes to manipulate and prepare data for models
  • Collaborate with the various teams within the AI Center of Excellence to ensure successful model implementation
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms


QUALIFICATIONS AND EXPERIENCE 

  • Active SECRET
  • US Citizenship
  • Minimum of 8 years’ experience in DevOps or MLOps
  • Understanding of machine learning modeling techniques and algorithms
  • Experience with Python, Docker, Kubernetes and Git
  • Skilled in common data science libraries (Scikit-learn, PyTorch, etc)
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • Experience with deploying open-source LLMs
  • DataBricks
  • Splunk
  • Continuous Integration/Continuous Deployment
  • Knowledge of statistics and concepts in neural networks


Education: Bachelor’s or Master’s in Computer Science, Computer Engineering, or other related field.


Apply