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Java Machine Learning Jobs (NOW HIRING)

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 ...

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 ...

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 ...

... Java, or Scala • Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn • Experience with containerization technologies, like Docker and Kubernetes ...

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Java Machine Learning information

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How much do java machine learning jobs pay per hour?

As of Aug 31, 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:

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, 74% Full Time, 24% 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.

Machine Learning Engineer

New York, NY

Forhyre
1 - 10 employees

Full-time

Re-posted 5 days ago


Job description

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 systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you.


Your ultimate goal will be to shape and build efficient self-learning applications.


Responsibilities


  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field


Requirements


  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modelling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • 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 to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus