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Splunk Machine Learning Engineer Jobs (NOW HIRING)

Aston Carter

Machine Learning Engineer

Manhattan, NY · On-site

$125/hr

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine Learning Engineer to apply advanced analytical, statistical, and software engineering expertise to ...

innovitusa

Machine Learning Engineer

Atlanta, GA · On-site

We are seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models and AI solutions. The ideal candidate will have strong experience with Python, machine learning ...

Aston Carter

Machine Learning Engineer

Manhattan, NY · On-site

$125/hr

AI/Machine Learning Engineer This project-based consulting role invites an experienced Machine Learning Engineer to apply advanced analytical, statistical, and software engineering expertise to ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

Givzey

Machine Learning Engineer

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity ...

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Showing results 21-40

All JobsSplunk Machine Learning Engineer Jobs

Splunk Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Sep 13, 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

Manhattan, NY • On-site

Pivotal Solutions
See more jobs at Pivotal Solutionsexternal

Full-time

Medical, Dental, Vision

Re-posted 29 days ago

Job description


Job Overview:
We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world problems. You will work closely with data scientists, software engineers, and business stakeholders to implement advanced machine learning solutions and drive innovation within the company.
Key Responsibilities:
  • Design and develop scalable machine learning models and algorithms.
  • Collaborate with cross-functional teams to integrate machine learning models into production systems.
  • Analyze large datasets to extract actionable insights and identify patterns.
  • Tune and optimize machine learning models for performance and accuracy.
  • Stay current with the latest advancements in AI and machine learning technologies.
  • Work with software development teams to ensure models are deployed efficiently and effectively.
  • Develop and maintain documentation for models, algorithms, and tools used.

Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
  • Proven experience in machine learning, data science, and AI technologies.
  • Proficiency in Python, R, or other programming languages used in machine learning.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of data structures, algorithms, and statistical modeling.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for deploying machine learning models.
  • Excellent problem-solving skills and the ability to work independently or in a team.
  • Strong communication skills to explain technical concepts to non-technical stakeholders.

Preferred:
  • Experience with deep learning techniques and natural language processing (NLP).
  • Prior experience in deploying machine learning models in a production environment.
  • Familiarity with DevOps practices and tools for machine learning pipelines (e.g., Docker, Kubernetes).

Benefits:
  • Competitive salary and performance bonuses.
  • Health, dental, and vision insurance.
  • Flexible working hours and remote work options.
  • Professional development opportunities.

Apply