1

Java Machine Learning Jobs in New Jersey (NOW HIRING)

Sr. Java Backend Developer

Woodbridge, NJ ยท On-site

$130K - $155K/yr

What You'll Do As a Senior Backend Developer (Java) , you'll help design, develop, and scale ... Exposure to data science or machine learning . What We Offer Total Rewards & Benefits Salary $130 ...

Senior Java Backend Developer Location: Jersey City, NJ Duration: Contract - 12 months Pay Range ... Exposure to machine learning driven personalization in customer interaction flows. Work Arrangement ...

Java with Angualr JS

Jersey City, NJ ยท On-site

$53.25 - $69/hr

Preferred At least 4 years of hands-on Java/J2ee experience, including analysis, design and testing ... Machine Learning and Multi Threading. At least 2 years of experience in working on UI/AngularJS ...

Sr. AI/ML Engineer - Onsite

Jersey City, NJ ยท On-site

$109K - $149K/yr

Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP, Generative AI, and Big Data Engineering. * Proven track record in leading large-scale AI/ML initiatives using Java ...

AI Software Engineer

North Brunswick, NJ ยท On-site +1

$58.75 - $77.75/hr

Machine learning * Big Data Architectures * Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering into technological and innovative projects within multicultural and ...

Machine learning * Big Data Architectures * Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering into technological and innovative projects within multicultural and ...

Data Architect

North Brunswick, NJ ยท On-site +1

$67.25 - $86.50/hr

Machine learning * Big Data Architectures * Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering into technological and innovative projects within multicultural and ...

next page

Showing results 1-20

Java Machine Learning information

See New Jersey salary details

$15

$57

$78

How much do java machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for java machine learning in New Jersey is $57.56, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $64.42 per hour, depending on experience, location, and employer.

What is a Java Machine Learning job?

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 the Java Machine Learning position, and why are they important?

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.

What are the most commonly searched types of Java Machine Learning jobs in New Jersey? The most popular types of Java Machine Learning jobs in New Jersey are:
Infographic showing various Java Machine Learning job openings in New Jersey as of July 2026, with employment types broken down into 1% Internship, 81% Full Time, 10% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $119,728 per year, or $57.6 per hour.
W2 Only :: AI Technical Architect :: Raritan, NJ (Hybrid) :: 14+ years Exp. Must.

W2 Only :: AI Technical Architect :: Raritan, NJ (Hybrid) :: 14+ years Exp. Must.

Noblesoft Technologies

Raritan, NJ โ€ข On-site

$67.75 - $82/hr

Contractor

Re-posted 5 days ago


Job description

Role โ€“ AI Technical Architect
W2 Contractย 

Location โ€“ Raritan, NJ(Hybrid)


Details:
8+ years of hands-on technical experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams, including GenAI, machine learning, and cloud infrastructure.
Hands-on Experience in designing and developing large-scale systems, including GenAI, API architectures, data systems, ML pipelines, and cloud-native applications.
ย Programming Languages: Proficiency in Python, JavaScript, Java, or other backend languages. Experience with API development (RESTful APIs, GraphQL).
ย Machine Learning & AI: Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy, with hands-on experience in integrating them into GenAI applications.
Hands on experience in GCP/Data Engineering/DevOps
The AI architect will play a pivotal role in architecting, leading, and actively contributing to the development of GenAI applications, machine learning models, data engineering pipelines, and cloud-native infrastructure.
Be responsible for architecting complex systems, making critical decisions, and leading teams to deliver high-quality, scalable solutions while remaining directly involved in coding, technical design, and problem-solving