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Splunk Machine Learning Engineer Jobs (NOW HIRING)

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Compunnel

Machine Learning Engineer

Philadelphia, PA · On-site

JOB SUMMARY We are seeking a hands-on Machine Learning Engineer to design, build, evaluate, deploy, and maintain machine learning models in production environments. The ideal candidate will have ...

Redolent, Inc.

Lead SRE Engineer

San Leandro, CA · On-site

$63 - $83.75/hr

Used Splunk Machine Learning ToolKit and any AI tools * Familiarity and hands-on alerts setup using APM tools : SPLOC, AppDynamics, Dynatrace etc * Familiarity with OCP and Kubernetes container ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

CACI

Machine Learning Engineer

Chantilly, VA · On-site

$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 ...

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO · On-site

$77K - $176K/yr

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI · On-site

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

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Splunk Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

How much do splunk machine learning engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for splunk machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a Splunk Machine Learning Engineer?

A Splunk Machine Learning Engineer is a professional who specializes in leveraging Splunk's platform and its Machine Learning Toolkit to develop, deploy, and manage machine learning models for data analytics, IT operations, and security solutions. They use Splunk to process and analyze large volumes of machine data, extract insights, and automate anomaly detection or predictive analytics. Their expertise includes data preprocessing, feature engineering, model selection, and integrating machine learning workflows within Splunk environments. These engineers often collaborate with data scientists, IT teams, and security analysts to optimize operational efficiency and drive business intelligence.

What are the key skills and qualifications needed to thrive as a Splunk Machine Learning Engineer?

To thrive as a Splunk Machine Learning Engineer, you need a solid background in data analytics, machine learning algorithms, and Splunk platform expertise, often supported by a degree in computer science or a related field. Familiarity with Splunk Enterprise, Splunk Machine Learning Toolkit (MLTK), Python, and relevant certifications such as Splunk Certified Power User are typically required. Strong problem-solving abilities, communication skills, and a collaborative mindset help you effectively translate business needs into actionable analytics solutions. These skills ensure the successful deployment of machine learning models that enhance data insights and operational efficiency within organizations.

How does a Splunk Machine Learning Engineer typically collaborate with data scientists and IT operations teams?

A Splunk Machine Learning Engineer frequently works alongside data scientists to design, deploy, and optimize machine learning models within the Splunk platform, ensuring that models are tailored to operational data and real-time analytics needs. They also collaborate with IT operations teams to understand monitoring requirements, integrate predictive analytics into workflows, and help translate model outputs into actionable alerts or dashboards. Effective communication and cross-functional teamwork are key, as the engineer often acts as a bridge between technical and non-technical stakeholders to maximize the value of machine learning in operational environments.

What are popular job titles related to Splunk Machine Learning Engineer jobs?

For Splunk Machine Learning Engineer jobs, the most frequently searched job titles are:

Infographic showing various Splunk Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

Columbia, MD

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

Full-time

Re-posted 24 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.


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