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Oracle Machine Learning Jobs (NOW HIRING)

DEKA

Machine Learning Engineer

Manchester, NH · On-site

We're looking for a Machine Learning Engineer who can operate at the intersection of backend ... Experience with relational and NoSQL databases (Oracle, IBM Db2, MSSQL, MongoDB) * Familiarity with ...

phData

OR

... Oracle, and SAP; proven experience deploying machine learning models in production environments. * Strong working knowledge of SQL and the ability to write, debug, and optimize complex and ...

WireScreen

Machine Learning Engineer

New York, NY · On-site

$150K - $195K/yr

... and Oracle. We launched just three years ago and already have strong traction with top-tier ... As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock ...

J5 Consulting

Machine Learning Engineer

Herndon, VA · On-site

$117K - $141K/yr

They are seeking a Machine Learning Engineer to provide analytical support for compliance with ... g., Oracle, MySQL, PostgreSQL, SQL, NOSQL, and/or structured and unstructured data) • ...

Oracle

Principal Machine Learning Engineer

Seattle, WA · On-site

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and ...

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How much do oracle machine learning jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for oracle machine learning in the United States is $61.15, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.15 per hour, depending on experience, location, and employer.

What are the typical responsibilities and daily tasks of someone working in an Oracle Machine Learning position?

Professionals in Oracle Machine Learning roles are typically responsible for building, deploying, and optimizing machine learning models within Oracle Database environments. Daily tasks may include preparing and cleaning large data sets, developing algorithms using SQL, Python, or R, and interpreting results to provide actionable business insights. They often collaborate closely with data engineers, business analysts, and IT teams to understand data needs and translate business requirements into technical solutions. The role also involves monitoring model performance and making continuous improvements to ensure accuracy and efficiency. This position is dynamic and offers opportunities for ongoing learning and career growth in both data science and enterprise database management.

What are the key skills and qualifications needed to thrive in the Oracle Machine Learning position, and why are they important?

To thrive in an Oracle Machine Learning role, you need a strong foundation in machine learning algorithms, data analysis, and proficiency with Oracle Database and PL/SQL, typically supported by a degree in computer science, data science, or a related field. Experience with Oracle Machine Learning tools (such as OML4SQL or OML4Py), certifications like Oracle Certified Professional, and familiarity with platforms such as Oracle Cloud Infrastructure are highly valuable. Excellent problem-solving abilities, attention to detail, and effective communication skills help professionals collaborate across multidisciplinary teams. These competencies are crucial for designing predictive models, extracting meaningful insights from large datasets, and driving data-driven business decisions using Oracle technologies.

What is an Oracle Machine Learning job?

An Oracle Machine Learning job involves using Oracle's machine learning tools and databases to develop, deploy, and manage predictive models and AI-driven solutions. Professionals in this role work with SQL, Python, and Oracle Machine Learning (OML) to analyze data, automate processes, and optimize decision-making. Responsibilities may include data preparation, model training, and integrating machine learning models into Oracle databases and applications. This role is common in industries like finance, healthcare, and retail, where data-driven insights improve business outcomes. Strong knowledge of Oracle Cloud Infrastructure (OCI) and database management is often required.

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What cities are hiring for Oracle Machine Learning jobs? Cities with the most Oracle Machine Learning job openings:
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Oracle Machine Learning jobs near you
Infographic showing various Oracle Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $127,184 per year, or $61.1 per hour.

Oracle Analytics Cloud (OAC) Developer & Administrator

Mission Support and Test Services, LLC

North Las Vegas, NV • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description


Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Site (NNSS) for the U.S. National Nuclear Security Administration (NNSA). Our MISSION is to help ensure the security of the United States and its allies by providing high-hazard experimentation and incident response capabilities through operations, engineering, education, field, and integration services and by acting as environmental stewards to the Site's Cold War legacy. Our VISION is to be the user site of choice for large-scale, high-hazard, national security experimentation, with premier facilities and capabilities below ground, on the ground, and in the air. (See NNSS.gov for our unique capabilities.) Our 2,750+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today.
  • MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more.
  • MSTS is a limited liability company consisting of Honeywell International Inc. (Honeywell), Jacobs Engineering Group Inc. (Jacobs), and HII Nuclear Inc.

Responsibilities
The Information Technology Directorate is looking for a Oracle Analytics Cloud (OAC) Developer & Administrator (Senior Applications Analyst) to join the Enterprise Application Solutions team.
Key Responsibilities
  • Fusion SaaS Connectivity & Reporting:
    • Monitor and optimize the performance of OAC dashboards, reports, and data models by fine-tuning queries, managing data caching, and implementing best practices for handling large-volume datasets.
    • Troubleshoot and resolve performance issues related to report generation, data extraction, and database bottlenecks using tools such as SQL Tuning Advisor and Explain Plan analysis.
    • Design and implement efficient data loading and extraction strategies (using tools like BICC or OIC) to manage data pipelines for large-scale data solutions.
    • Advise on data partitioning, indexing, and materialized views to improve query execution speed and overall system responsiveness.
  • External Database Integration:
    • Configure Remote Data Connectivity using the OAC Data Gateway for secure, live data access to on-premise data sources.
    • Design solutions that blend data from various sources (Fusion SaaS, external databases, flat files) into cohesive datasets and visualizations for comprehensive analysis.
  • Application & Data Security (OAC):
    • Implement fine-grained access controls within OAC, managing application roles, catalog permissions, and data filters to ensure users only view data relevant to their security context.
    • Configure security settings to ensure that the security model defined in the source Oracle Fusion Applications (e.g., HR role hierarchies in HCM, data access sets in ERP) is respected when accessing data via OTBI or BICC extractions.
    • Utilize data masking and encryption best practices to protect sensitive or personally identifiable information (PII/PHI) within data sets and warehouses used for analytics.
  • Governance & Compliance:
    • Define and document governance policies for OAC content lifecycle management, data lineage, and audit logging to meet regulatory requirements (e.g., SOX, GDPR).
    • Monitor data usage, access patterns, and policy compliance using OAC and OCI audit logs and reporting tools.
    • Ensure system configurations adhere to established security zones and corporate security standards within the Oracle Cloud Infrastructure (OCI) environment.
  • Compartment Strategy:
    • Leverage OCI compartment management for logical isolation of OAC instances and data resources to enhance security and governance posture.
  • AI and Machine Learning Integration:
    • Leverage OAC's embedded ML and AI capabilities to build predictive models, perform anomaly detection, and generate data-driven insights.
    • Utilize the OAC AI Assistant for natural language querying and data visualization generation to enhance user accessibility and productivity.
    • Integrate and deploy Machine Learning models developed using tools like Oracle Machine Learning (OML) or Python/R into OAC dashboards to support advanced analytics and forecasting.

Qualifications
Due to the nature of our work, US Citizenship is required for all positions.
  • Bachelor's degree in a computer related field or equivalent computer related experience with at least 5 years of relevant, progressively responsible experience.
  • Minimum of 6-8 years in BI and analytics, with at least 3-4 years specifically with Oracle Analytics Cloud (OAC).
  • Proven experience as an OAC Administrator, responsible for environment management, security, and lifecycle management tasks.
  • Experience in designing end-to-end reporting solutions within the Oracle Cloud environment.
  • Expertise in OAC development, data modeling, performance tuning, and integrating various data sources.
  • Fusion SaaS Connectivity & Reporting:
    • Extensive experience connecting OAC to Oracle Fusion Cloud Applications (ERP/HCM) to access operational data in real-time. This includes deep familiarity with leveraging Oracle Transactional Business Intelligence (OTBI) subject areas and analyses as data sources within OAC datasets.
    • Proficiency in utilizing BI Publisher (BIP) reports as data sources for more complex or pixel-perfect reporting requirements within the Fusion environment.
    • Experience with BI Cloud Connector (BICC) for extracting data from Fusion SaaS into a data warehouse (e.g., Oracle Autonomous Data Warehouse) for blended, cross-functional reporting and data transformation.
    • Understanding of the shared security model, where OAC can utilize the security permissions and role assignments established in the source Fusion applications.
    • Proficiency in OAC components: Data Visualization, RPD modeling, Data Flows, and Data Sets.
    • Expertise in Advanced SQL and PL/SQL.
    • Familiarity with data warehousing concepts, including schema design, ETL/ELT processes, and database architecture for scalability.
  • External Database Integration:
    • Hands-on experience in connecting OAC to a variety of external, non-Oracle databases (such as SQL Server or other cloud databases like Azure/Google) using native connectors or JDBC drivers.
    • Experience with connection types, network security groups (NSGs), and private access channels within OCI to ensure secure and reliable communication between OAC and private or on-premise databases.
  • Data Security & Governance: Expertise in establishing and enforcing robust data security and governance frameworks across the entire Oracle Analytics Cloud and Oracle Fusion ecosystem.
  • Relevant Oracle certifications are highly valued, such as Oracle Analytics Cloud Certified Professional.
  • The primary work location will be at the Losee Road facility in North Las Vegas, Nevada.
  • Work schedule will be 4/10s Monday through Thursday (subject to change).
  • Pre-placement physical examination, which includes a drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing.
  • Must possess a valid driver's license.

Ability to obtain a HSPD-12 Personal Identity Verification credential under the Department of Energy Order 206.2, 'Identity, Credential, and Access Management,' and Supplemental Directive NNSA SD 206.2, 'Implementation of Personal Identity Verification for Uncleared Contractors.'
MSTS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, veteran status or other characteristics protected by law. MSTS is a background screening, drug-free workplace.
Annual salary range for this position is: $97,219.20 - $145,828.80.
Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity.

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