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Remote Java Machine Learning Jobs in Chicago, IL

Allied

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$150K - $185K/yr

POSITION SUMMARY The Senior Machine Learning Engineer is responsible for designing, building, and ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

SynergisticIT

Data Analyst

Elk Grove Village, IL · On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Data Scientists & Machine Learning Engineers * Data Engineers * Required & Preferred Skills * Java ...

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How much do remote java machine learning jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for remote java machine learning in Chicago, IL is $64.72, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $72.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Java Machine Learning Engineer, and why are they important?

To excel as a Remote Java Machine Learning Engineer, you need strong programming skills in Java, a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or Weka), version control systems like Git, and cloud computing platforms is highly valued. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies are vital for building effective ML solutions, working independently, and ensuring seamless integration within distributed teams.

How does a Remote Java Machine Learning Engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Java Machine Learning Engineer, you will regularly collaborate with data scientists, software engineers, and product managers through virtual meetings, shared project management tools, and code repositories. Clear communication and proactive documentation are essential to ensure alignment, especially when integrating machine learning models into Java-based applications. You may also participate in code reviews, sprint planning, and brainstorming sessions to refine features and troubleshoot issues. Building strong working relationships remotely often involves actively engaging in team channels and being responsive to feedback.

What are Remote Java Machine Learning jobs?

Remote Java Machine Learning jobs involve developing, deploying, and maintaining machine learning models and applications using the Java programming language, all while working from a remote location. Professionals in these roles typically build algorithms, process data, and integrate machine learning solutions into software systems. They collaborate with other developers and data scientists virtually, leveraging Java libraries such as Weka, Deeplearning4j, or MOA. These jobs are ideal for those who have strong Java skills and a background in machine learning, and who prefer the flexibility of working remotely.
What are popular job titles related to Remote Java Machine Learning jobs in Chicago, IL? For Remote Java Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Java Machine Learning jobs in Chicago, IL look for? The top searched job categories for Remote Java Machine Learning jobs in Chicago, IL are:
Remote Java Machine Learning jobs near you

Senior Machine Learning Engineer

Allied

Chicago, IL • On-site, Remote

$150K - $185K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 3 days ago

Job description

POSITION SUMMARY
The Senior Machine Learning Engineer is responsible for designing, building, and deploying scalable machine learning systems that drive business impact. This role will partner closely with data scientists, AI Technical Product Owners, and engineering teams to integrate machine learning capabilities into real business processes. The emphasis is on operational excellence, scalability, and long-term maintainability rather than research and experimentation.
ESSENTIAL FUNCTIONS
  • Design and implement end to end machine learning pipelines that support data ingestion, feature generation, model training, validation, deployment, and monitoring.
  • Operationalize models in coordination with data scientists and ensure they run reliably with requisite alerts and monitoring in production environments.
  • Build reusable frameworks and patterns that reduce friction when deploying new models or updating existing ones.
  • Ensure pipelines are secure, auditable, and appropriate for use in regulated enterprise environments.
  • Own and evolve the MLOps toolchain that supports model versioning, artifact management, experiment tracking, and deployment workflows.
  • Implement continuous integration and deployment practices for machine learning systems.
  • Establish monitoring and alerting for model performance, data quality, drift, and system health.
  • Partner with cloud and platform teams to manage compute resources, cost controls, and environment configurations.
  • Work with application engineering teams to integrate machine learning outputs into downstream systems and user workflows.
  • Support real time and batch inference patterns depending on business needs.
  • Ensure that machine learning services meet performance, reliability, and availability expectations for production use.
  • Collaborate closely with data scientists to shape models that are production ready and operationally sustainable.
  • Provide guidance on feature engineering, model packaging, and performance tradeoffs from a deployment perspective.
  • Document standards, patterns, and best practices for building and operating machine learning systems.
  • Contribute to the maturation of the organization's overall AI and ML engineering discipline.
  • Other duties as assigned

EDUCATION
  • Bachelor's degree in Computer Science, Math, Statistics, or equivalent work experience required.

EXPERIENCE AND SKILLS:
  • 6+ years of strong experience building and operating machine learning systems in production environments.
  • Solid software engineering skills with Python and familiarity with modern ML frameworks such as PyTorch or TensorFlow.
  • Experience with data pipelines, workflow orchestration, and model deployment patterns.
  • Hands on experience with cloud platforms and managed ML services, with Azure, AWS, and/or Databricks experience preferred.
  • Understanding of MLOps concepts including model versioning, monitoring, testing, and lifecycle management.
  • Experience working with sensitive data in regulated industries such as healthcare or insurance is strongly preferred.
  • Ability to work cross functionally and translate between data science, engineering, and business stakeholders.

POSITION COMPETENCIES
  • Accountability
  • Analytical Problem Solving
  • Collaboration
  • Execution and Delivery
  • Quality and Risk Management
  • Systems Thinking
  • Technical/Functional Expertise

PHYSICAL DEMANDS
  • This is a standard desk role requiring extended sitting and computer work

WORK ENVIRONMENT
  • Remote

Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly culture offers flexibility and the comfort of working from home, while also ensuring you are set up for success. To support a smooth and efficient remote work experience, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 100Mbps download/25Mbps upload. Reliable internet service is essential for staying connected and productive.
The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.
Compensation is not limited to base salary. Allied values our Total Rewards, and offers a competitive Benefit Package including, but not limited to, Medical, Dental, Vision, Life and Disability Insurance, Generous Paid Time Off, Tuition Reimbursement, EAP, and a Technology Stipend.
Allied reserves the right to amend, change, alter, and revise, pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to the position you understand that the specific pay range is contingent upon meeting the qualification and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.

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