ZipRecruiter

Log In

1

Java Machine Learning Jobs (NOW HIRING)

Jobtailor

NY · On-site

$110 - $150/hr

Utilizing programming languages such as Python and Java to build and deploy AI models * Integrating data from various sources to enhance data quality and infrastructure * Applying machine learning ...

Forhyre

Machine Learning Engineer

New York, NY

Ability to write robust code in Python, Java and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) * Excellent communication skills * Ability ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience with distributed and streaming data ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience with distributed and streaming data ...

next page

Showing results 1-20

All JobsTechnology JobsData JobsData Scientist JobsJava Machine Learning Jobs

JAVA Machine Learning information

See salary details

$15

$56

$77

How much do java machine learning jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for java machine learning in the United States is $56.70, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.46 per hour, depending on experience, location, and employer.

What is a Java Machine Learning?

A Java Machine Learning job involves developing and deploying machine learning models using Java-based frameworks and libraries. Professionals in this role work on data preprocessing, model training, optimization, and integration into applications. They often use tools like Weka, Deeplearning4j, or Apache Spark MLlib. Strong knowledge of Java, machine learning algorithms, and data structures is essential.

What are the key skills and qualifications needed to thrive in Java Machine Learning?

To thrive as a Java Machine Learning professional, you need strong Java programming skills, a solid understanding of machine learning algorithms, and a degree in computer science or a related field. Experience with frameworks such as Weka, Deeplearning4j, or Apache Spark MLlib, along with familiarity with data processing tools and industry-standard certifications, is often required. Problem-solving ability, teamwork, and effective communication are valuable soft skills for success in this role. These skills and qualities are critical for developing robust machine learning solutions, efficiently collaborating with technical teams, and addressing complex business challenges.

What are some common challenges faced by Java Machine Learning professionals on the job?

Java Machine Learning professionals often encounter challenges such as integrating machine learning models into existing Java-based production systems, optimizing algorithms for scalability and efficiency, and ensuring data quality for model training. They may also need to stay current with evolving machine learning libraries and approaches, requiring continuous learning and flexibility. Collaborating with data engineers, software developers, and business stakeholders is common, so strong interpersonal and project management abilities are crucial. Overcoming these challenges is key to successfully deploying high-performing, reliable machine learning solutions that meet organizational needs.

More about JAVA Machine Learning jobs

What are the most commonly searched types of Java Machine Learning jobs?

The most popular types of Java Machine Learning jobs are:

What states have the most Java Machine Learning jobs?

States with the most job openings for Java Machine Learning jobs include:

What job categories do people searching Java Machine Learning jobs look for?

The top searched job categories for Java Machine Learning jobs are:

JAVA Machine Learning jobs near you
Infographic showing various Java Machine Learning 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 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $117,931 per year, or $56.7 per hour.

Senior Associate - Agentic AI and Machine Learning Developer

Jobtailor

NY • On-site

$110 - $150/hr

Other

Posted 7 days ago

Job description


  • Designing and implementing AI and machine learning solutions to transform raw data into actionable insights

  • Developing scalable software and platform systems using advanced algorithms and data engineering techniques

  • Collaborating with clients to understand their needs and deliver tailored data solutions

  • Utilizing programming languages such as Python and Java to build and deploy AI models

  • Integrating data from various sources to enhance data quality and infrastructure

  • Applying machine learning libraries like TensorFlow and Scikit-Learn to optimize model performance

  • Conducting complex data analysis to support informed decision-making and business growth

  • Building and maintaining data pipelines to streamline data processing and analysis

  • Leveraging natural language processing tools to develop innovative text analytics solutions

  • Mentoring junior team members and guiding them in technical and professional development


Requirements

  • At least a Bachelor's degree

  • At least 2 years of experience

  • Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering

  • At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials

  • Demonstrating proficiency in AI implementation and machine learning libraries

  • Utilizing Python and Java for complex data analysis and modeling

  • Excelling in data integration and data pipeline development

  • Applying natural language processing techniques for text analytics

  • Leveraging TensorFlow and Scikit-Learn for deep learning projects


Core Competencies

Proficient in designing and implementing AI and machine learning solutions, with expertise in Python and Java for data analysis and modeling. Skilled in developing data pipelines, integrating data sources, and applying machine learning libraries like TensorFlow and Scikit-Learn for optimized performance.


Highest-signal resume keywords

  • AI Implementation

  • Machine Learning Libraries

  • Data Pipeline Development

  • Natural Language Processing

  • Data Integration


ATS Optimization Keywords
Hard Skills

  • Python

  • Java

  • Machine Learning

  • Data Analysis

  • Data Engineering

  • TensorFlow

  • Scikit-Learn

  • Natural Language Processing

  • Data Pipeline Development

  • Advanced Algorithms


Soft Skills

  • Collaboration

  • Mentoring

  • Communication


Certifications & Qualifications

  • Data Engineering Certifications

  • Machine Learning Certifications

  • Cloud Platform Certifications


Industry Keywords

  • Analytics

  • Data Science

  • Artificial Intelligence

  • Robotics

  • Computer Science

  • Information Systems

  • Engineering


Tools & Technologies

  • AWS

  • Google Cloud

  • Microsoft Azure

  • Databricks

  • Snowflake

#J-18808-Ljbffr

Apply