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Remote Machine Learning Software Engineer Jobs in Vernon Hills, IL

BAI

Advanced Software Engineer

Chicago, IL · On-site +1

$85K - $115K/yr

Our industry-leading offerings include peer sharing events, thought leadership, learning and ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

Turnblock.io

Software Engineer Remote (Web3)

Chicago, IL · Remote

$200K - $250K/yr

Software Engineer Opportunity Our client is on crypto's cutting-edge technology, and we're looking for the right engineers to join them. This is a remote position for any US-based candidate. Our ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

... software engineering experience using Python, Java, Scala, or similar programming languages * 3+ years of experience designing, training, and deploying machine learning or deep learning models into ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

... software engineering experience using Python, Java, Scala, or similar programming languages * 3 years of experience designing, training, and deploying machine learning or deep learning models into ...

NINJA HOLDINGS, LLC

Software Engineer

Chicago, IL · On-site +1

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Job Summary The Software Engineer will be responsible for building new systems, enhancing and ...

NinjaHoldings

Software Engineer

Chicago, IL · On-site +1

$100K - $150K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Job Summary The Software Engineer will be responsible for building new systems, enhancing and ...

NinjaHoldings

Software Engineer

Chicago, IL · On-site +1

$100K - $150K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Job Summary The Software Engineer will be responsible for building new systems, enhancing and ...

AVEVA

AI Software Engineer

Lake Forest, IL · On-site +1

$103K - $172K/yr

... deep learning). * Proficient in securing APIs, managing authentication/authorization and data ... remote. The working arrangement for this position will be confirmed during the hiring process.

Prelim

Software Engineer, Product

Chicago, IL · Remote

$140K - $160K/yr

If you're passionate about solving massive-scale engineering challenges and eager to be part of a fast-paced remote startup culture, we encourage you to apply to join our team today! As a Software ...

Grainger Businesses

Lead Software Engineer

Lake Forest, IL · On-site +1

$124K - $207K/yr

Remote Req Number 329896 About Grainger W.W. Grainger, Inc., is a leading broad line distributor ... Contribute to continuous learning on your team culture by leading knowledge sharing sessions with ...

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Showing results 41-60

All JobsMachine Learning Software Engineer JobsRemote Machine Learning Software Engineer JobsRemote Machine Learning Software Engineer Jobs in Vernon Hills, IL

Remote Machine Learning Software Engineer information

See Vernon Hills, IL salary details

$61.9K

$143.7K

$200.2K

How much do remote machine learning software engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning software engineer in Vernon Hills, IL is $143,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,900.00 and $168,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Machine Learning Software Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Software EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, coding, deploying algorithmsAnalyzing data, building models, interpreting results
Industry UsageTech, finance, healthcare, e-commerceTech, finance, healthcare, research institutions

While both roles involve working with data and algorithms, Remote Machine Learning Software Engineers focus on developing and deploying machine learning models through coding, whereas Remote Data Scientists analyze data to extract insights and build statistical models. Both roles often collaborate but serve different primary functions within organizations.

What job categories do people searching Remote Machine Learning Software Engineer jobs in Vernon Hills, IL look for?

The top searched job categories for Remote Machine Learning Software Engineer jobs in Vernon Hills, IL are:

What cities near Vernon Hills, IL are hiring for Remote Machine Learning Software Engineer jobs?

Cities near Vernon Hills, IL with the most Remote Machine Learning Software Engineer job openings:

Remote Machine Learning Software Engineer jobs near you

Sr. Software Engineer - AI Platforms & Automation

IMO Health

Chicago, IL • On-site, Remote

$126K - $166K/yr

Full-time

Posted 14 days ago

Job description

At IMO Health, we combine strengths in software development, artificial intelligence, and clinical expertise to create AI-driven solutions that enhance access to reliable health information, support clinical decision-making, and improve patient outcomes.
We are looking for a Senior Software Engineer to own and evolve the internal software platforms that support IMO Health's terminology and knowledge graph initiatives. This role will maintain and enhance production applications, APIs, integrations, and AI-enabled workflows while helping introduce new AI capabilities into existing business processes as the platform continues to evolve.
The ideal candidate is a software engineer first-someone who enjoys owning and evolving production software while applying AI technologies to solve real business problems. As the platform continues to evolve, you'll help introduce new AI-enabled capabilities into existing business workflows while ensuring the underlying systems remain reliable, scalable, and production-ready.
WHAT YOU'LL DO:
Own and enhance internal platforms
  • Maintain and enhance internally developed applications and tooling that supports terminology management, content creation, mapping, workflow automation, and content delivery.

  • Build and maintain integrations across internal applications, APIs, knowledge bases, databases, and AI services.

  • Contribute to the design and implementation of new automation and AI-enabled capabilities as business needs evolve.

Support reliable production systems
  • Own operational support for AI-enabled applications and workflows in production, including troubleshooting, incident response, release coordination, and ongoing maintenance.

  • Manage application deployments, infrastructure configuration, monitoring, alerting, and operational support for AWS-hosted applications and services.

  • Investigate production issues, perform root-cause analysis, and implement durable solutions that improve reliability.

Enable AI-powered workflows
  • Support AI agents and workflow automation capabilities as they mature from pilot initiatives into scalable production solutions.

  • Develop and troubleshoot cloud-based workflows using AWS services such as Bedrock, Lambda, Glue, S3, IAM, CloudWatch, and MWAA/Airflow.

  • Implement testing, monitoring, and operational readiness practices that improve the quality and reliability of AI-enabled workflows.

Collaborate across teams
  • Partner with clinical, terminology, product, data science, and engineering teams to improve AI-enabled workflows while maintaining appropriate human review and auditability.

  • Mentor team members and promote software engineering best practices for secure, maintainable, and production-ready systems.

WHAT YOU'LL NEED:
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical field; equivalent professional experience will also be considered.

  • 7+ years of professional experience in software engineering, backend engineering, platform engineering, DevOps, MLOps, cloud engineering, or a related discipline, including experience supporting production systems.

  • Strong proficiency in Python and experience building maintainable services, APIs, internal tools, jobs, or workflow automation in production environments.

  • Experience designing, deploying, and supporting cloud-based applications in AWS environments.
  • Experience building or supporting AI-enabled applications using Amazon Bedrock, LLM APIs, knowledge bases, AI agents, retrieval-augmented generation (RAG), or similar technologies.

  • Experience with CI/CD pipelines, Git-based development workflows, automated testing, configuration management, and release practices.

  • Experience with Docker, Kubernetes or other containerized services, Terraform or Infrastructure-as-Code, and production monitoring/alerting tools.

  • Experience with workflow orchestration, data pipelines, or job scheduling tools such as Airflow/MWAA, Glue, Lambda, cron-based jobs, or equivalent technologies.

  • Working knowledge of SQL and relational databases such as PostgreSQL; experience with distributed data or search systems is a plus.

  • Experience building or supporting AI-enabled applications using LLM APIs, retrieval-augmented generation (RAG), knowledge bases, AI agents, or similar technologies.

  • Strong troubleshooting skills, including production issue triage, root-cause analysis, log analysis, and implementation of durable solutions.

  • Ability to partner effectively with domain experts and translate workflow needs into practical, maintainable technical solutions.

  • Strong communication, documentation, and collaboration skills in cross-functional environments.

PREFERRED QUALIFICATIONS:
  • Experience scaling AI-enabled applications or agent-based workflows from prototype or pilot phases into reliable production systems.

  • Experience with modern AI development practices including prompt engineering, tool/function calling, AI evaluation techniques, and AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor.
  • Experience with AI application frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.

  • Experience designing or supporting AI evaluation frameworks, quality monitoring practices, or human-in-the-loop workflows for AI-assisted outputs.

  • Experience in healthcare technology, clinical data, clinical terminology, content curation, or other regulated data environments.

  • Familiarity with knowledge graph technologies and semantic standards such as RDF, OWL, SPARQL, SHACL, FHIR, SNOMED CT, LOINC, RxNorm, ICD-10, CPT, or related healthcare standards.

  • Experience working with vector databases, embeddings, search technologies, or other retrieval-based AI architectures.

  • AWS certifications such as AWS Certified Solutions Architect, AWS Certified Machine Learning - Specialty, or AWS Certified Generative AI Developer - Professional.

$140,000 - $200,000 a year
Compensation at IMO Health is determined by job level, role requirements, and each candidate's experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.
IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health's Careers Page.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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