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Machine Learning Engineer Jobs in Rockford, IL (NOW HIRING)

Hydraulic Technologies USA, LLC

Machinist

Rockford, IL · On-site

$25 - $38/hr

Operate any single machine tool such as manual or CNC lathe/mills/machining centers and be able to ... Process work orders via SAP in a timely manner. * Assist manufacturing engineering in process ...

Hydraulic Technologies

Machinist

Rockford, IL · On-site

$20.50 - $28/hr

Operate any single machine tool such as manual or CNC lathe/mills/machining centers and be able to ... Process work orders via SAP in a timely manner. * Assist manufacturing engineering in process ...

Varsity Tutors

Mechanical Engineering Tutor

Dekalb, IL · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Varsity Tutors

Linear Algebra Tutor

Dekalb, IL · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Rockford, IL

Machine Learning Engineer information

See Rockford, IL salary details

$31.5K

$128.9K

$193.7K

How much do machine learning engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning engineer in Rockford, IL is $128,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $155,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Rockford, IL?

The most popular types of Machine Learning Engineer jobs in Rockford, IL are:

What are popular job titles related to Machine Learning Engineer jobs in Rockford, IL?

For Machine Learning Engineer jobs in Rockford, IL, the most frequently searched job titles are:

What cities near Rockford, IL are hiring for Machine Learning Engineer jobs?

Cities near Rockford, IL with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Rockford, IL as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $128,875 per year, or $62 per hour.

Vice President, Software Engineering & AI Transformation

Oregon, IL • On-site

Harris
Accounting Services • 1 - 5K employees
Learn more about Harrisexternal

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Key responsibilities

  • Lead, develop, and scale a high-performing software engineering organization responsible for product delivery, technology evolution, security, reliability, and operational outcomes

  • Execute the organization's AI-first transformation strategy across products, software engineering, and AI-DLC with a focus on measurable business and customer outcomes

  • Drive the modernization of legacy applications, cloud platforms, APIs, and AI capabilities in alignment with the technology strategy and architecture roadmap

Harris Computer rating

8.5

Company rating: 8.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

82nd of 247 rated software companies

Job description

Vice President, Software Engineering & AI Transformation

Position Summary

MEDHOST, a division of Harris; is seeking a technology executive to lead software engineering and continue to advance MEDHOST's technology and AI strategy across the product and platform portfolio. This position will lead and continue to build high performing software engineering teams, execute on the company's technology strategy and drive an AI first innovation strategy throughout MEDHOST's AI-DLC and product portfolio.

Primary Responsibilities


Engineering Organizational Leadership

  • Lead, develop, and scale a high-performing software engineering organization accountable for product delivery, technology evolution, security, reliability, and operational outcomes
  • Improve delivery predictability, developer productivity, software quality, resiliency, scalability, and cost effectiveness while balancing innovation, modernization, and commitments
  • Partner closely with executive leadership, product management, operations, and security to translate business strategy into executable technology priorities and investment decisions
  • Establish metrics and KPIs to measure strategic progress, software engineering effectiveness, AI adoption, and business impact
  • Evaluate emerging technologies and identify opportunities to create competitive advantage through innovation
  • Serve as a trusted advisor to executive leadership on technology and AI-related opportunities, risks, and industry trends

AI Strategy & Innovation

  • Execute the organization's AI-first transformation strategy across products, software engineering, and AI-DLC with a prioritized roadmap tied to measurable business and customer outcomes
  • Execute and continue to evolve the R&D department's AI-DLC strategy incorporating industry best practices and new technology innovation to continue to increase engineering and process efficiencies through AI technology
  • Drive incorporation of AI-powered experiences into customer-facing products and enterprise workflows
  • Oversee planning, execution, governance, risks, dependencies, and resource allocation for strategic technology and AI initiatives across the product portfolio
  • Stay current on industry advancements across models, agent orchestration, best practices and other emerging technology innovations

Technology Strategy and Platform Modernization

  • Execute and evolve MEDHOST's technology strategy and architecture roadmap aligned with corporate objectives, product priorities, and customer needs
  • Lead modernization of legacy applications, cloud platforms, API's, and AI capabilities using advances in architecture and engineering approaches
  • Drive improvements in software delivery performance, quality, resiliency, scalability, and operational efficiency
  • Govern technology standards and investment priorities; identifying opportunities where AI and emerging technologies can create measurable differentiation and operating leverage

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related discipline
  • 15+ years of progressive technology experience including 8+ years of progressive software engineering leadership experience and 5+ years in senior leadership roles leading large software engineering organizations.
  • 3-5+ years' experience with EHR and healthcare software environments
  • Demonstrated success leading modernization and software platform transformation initiatives
  • Deep expertise in modern software engineering practices, distributed systems, APIs, microservices, cloud platforms, and enterprise architecture
  • Proven experience implementing AI and machine learning capabilities within enterprise products and AI-DLC workflows
  • Strong understanding of Generative AI, Large Language Models (LLMs), Agentic AI frameworks, Retrieval Augmented Generation (RAG), AI orchestration, and AI governance
  • Experience working within highly regulated industries and navigating complex security, privacy, and compliance requirements
  • Experience with Claude, OpenAI technologies, Microsoft Co-Pilot and AWS Bedrock a plus
  • Strong financial acumen with experience managing technology investment portfolios and business cases
  • Demonstrated ability to build and scale high-performance engineering organizations

What we offer:

  • Plenty of opportunities to grow your career
  • Comprehensive medical, dental, vision, STD, LTD, FSA benefits
  • 3 weeks of vacation plus 5 personal days to recharge
  • Employee stock ownership and RRSP program
  • 401K and Life insurance benefits
  • A chance to give back through community involvement
  • Flexible work arrangements to suit your lifestyle

Salary Range: $175K - $250K

About MEDHOST

MEDHOST, founded in 1984 and headquartered in Franklin, Tennessee, is a leading provider of healthcare information technology solutions. Serving over 1,000 healthcare facilities nationwide, MEDHOST offers a comprehensive suite of products, including electronic health records (EHR), financial management systems, and patient engagement platforms. Their mission is to empower healthcare organizations to enhance patient care and improve business operations through innovative, user-friendly solutions. In January 2024, MEDHOST was acquired by N. Harris Computer Corporation, further strengthening its position in the healthcare IT industry.

About Harris:

Harris is a leading provider of mission critical software to the public sector in North America. As a wholly owned subsidiary of Constellation Software Inc. ("CSI", symbol CSU on the TSX), Harris has become the cornerstone for CSI's investment in utility, local government, school districts, public safety, and healthcare software verticals. Our success has been realized through investments in our proprietary software and market expertise. This focus, combined with acquiring businesses that build upon or complement our offerings, has helped drive our success. Harris will continue to growth through reinvestment - both in the people and products that we offer and making investments in acquiring new businesses.

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What Harris Computer employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Harris Computer Systems

Sourced by ZipRecruiter

Harris Computer Systems, based in Ottawa, ON, CA, is an established player in the field of public sector software technology. Since its inception in 1976, the company has been striving to make clients' operations more efficient through reliable, practical, and flexible software solutions. Its extensive portfolio primarily serves utility, healthcare, public sector, and educational institutions, contributing to the betterment of public services through technology. Harris strongly believes in the value of forward-thinking technology and the power it has to drive progress for the public sector. This methodology is entirely in line with their mission to ensure customer success by providing reliable, practical, and robust software solutions.

Industry

Accounting services

Company size

1,001 - 5,000 Employees

Headquarters location

Ottawa, ON, CA

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