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Splunk Machine Learning Engineer Jobs (NOW HIRING)

Quantum Machines

Machine Learning Engineer

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will ...

Northern Base

Machine Learning Engineer

Sunrise, FL ยท On-site

$90K - $110K/yr

Role - Machine Learning Engineer Experience Required -8+ Years We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs)

Leash Bio

Machine Learning Engineer

Salt Lake City, UT ยท On-site

They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new ...

Constellation Space

Machine Learning Engineer

Seattle, WA ยท On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Cymertek

Machine Learning Engineer

Aurora, CO ยท On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Winaxis

Machine Learning Engineer

Fremont, CA ยท On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

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Splunk Machine Learning Engineer information

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$31.5K

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$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

Annapolis Junction, MD โ€ข On-site

Cymertek Corporation
IT Servicesย โ€ขย 11 - 50 employees
Learn more about Cymertek Corporationexternal

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team and help build intelligent systems that drive impactful business solutions. The role involves designing, developing, and deploying machine learning models while collaborating with data scientists, engineers, and product teams to create scalable models that deliver real-world value.
Responsibilities:
โ€ข Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
โ€ข Ability to design, implement, and optimize machine learning models and workflows
โ€ข Experience working with large, complex datasets
โ€ข Knowledge of data preprocessing and feature engineering
โ€ข Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
โ€ข Strong problem-solving skills and analytical thinking
Qualifications:
Required:
โ€ข Bachelor's Degree
โ€ข Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
โ€ข Ability to design, implement, and optimize machine learning models and workflows
โ€ข Experience working with large, complex datasets
โ€ข Knowledge of data preprocessing and feature engineering
โ€ข Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
โ€ข Strong problem-solving skills and analytical thinking
โ€ข Proficiency in programming languages (e.g., Python, R, Java)
โ€ข Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
โ€ข Expertise in model evaluation techniques and metrics
โ€ข Strong knowledge of version control tools (e.g., Git)
โ€ข Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
โ€ข Understanding of database technologies (e.g., SQL, NoSQL)
Preferred:
โ€ข Experience with natural language processing (NLP)
โ€ข Knowledge of deep learning techniques (e.g., CNNs, RNNs)
โ€ข Familiarity with deployment tools (e.g., Docker, Kubernetes)
โ€ข Experience with data augmentation and synthetic data generation
โ€ข Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
โ€ข Knowledge of edge computing and model optimization for deployment
Company:
With headquarters in Maryland, Cymertek [/'sฤซ-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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