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Reinforcement Learning Engineer Jobs in Peoria, IL

IT360, Inc.

AI Engineer

Peoria, IL · On-site

$75K - $110K/yr

AI Engineer Location: Peoria, IL Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or ... Familiarity with NLP, computer vision, reinforcement learning, and large language models (LLMs)

IT360 Inc

AI Engineer

Peoria, IL · On-site

AI Engineer Location: Peoria, IL Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or ... Familiarity with NLP, computer vision, reinforcement learning, and large language models (LLMs)

IT360, Inc.

AI Engineer

Peoria, IL · On-site

AI Engineer Location: Peoria, IL Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or ... Familiarity with NLP, computer vision, reinforcement learning, and large language models (LLMs)

Skill Sprout

Physical Therapist

Washington, IL

$1.5K - $2.0K/wk

... programming and parent education as needed * Utilizes principles of positive reinforcement and basic behavioral interventions to support client performance and learning. * Acts as mentor to ...

Skill Sprout

Physical Therapist

Peoria, IL

$1.6K - $2.1K/wk

... programming and parent education as needed * Utilizes principles of positive reinforcement and basic behavioral interventions to support client performance and learning. * Acts as mentor to ...

All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Peoria, IL

Reinforcement Learning Engineer information

See Peoria, IL salary details

$37.3K

$113.7K

$187.9K

How much do reinforcement learning engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for reinforcement learning engineer in Peoria, IL is $113,685.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,400.00 and $148,600.00 per year, depending on experience, location, and employer.

What is a reinforcement learning engineer?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are some common challenges faced by reinforcement learning engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

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

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What is the difference between Reinforcement Learning Engineer vs Machine Learning Engineer?

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

What are popular job titles related to Reinforcement Learning Engineer jobs in Peoria, IL?

For Reinforcement Learning Engineer jobs in Peoria, IL, the most frequently searched job titles are:

What job categories do people searching Reinforcement Learning Engineer jobs in Peoria, IL look for?

The top searched job categories for Reinforcement Learning Engineer jobs in Peoria, IL are:

What cities near Peoria, IL are hiring for Reinforcement Learning Engineer jobs?

Cities near Peoria, IL with the most Reinforcement Learning Engineer job openings:

Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Peoria, IL as of June 2026, with employment types broken down into 5% Full Time, 90% Part Time, and 5% Temporary. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $113,685 per year, or $54.7 per hour.

AI Engineer

Peoria, IL • On-site

IT360, Inc.
IT Services • 11 - 50 employees
Learn more about IT360, Inc.external

$75K - $110K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Job Title: AI Engineer
Location: Peoria, IL
Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or hybrid position.
Job Type: Full-Time
About the Role
IT360, Inc. is seeking a highly skilled and innovative AI Engineer to join our growing team. This strategic, client-facing role is responsible for designing, developing, and leading deployment of AI-driven solutions and automations that address complex business challenges for both internal operations and external clients. You'll work with a variety of machine learning, automations, and scripting technologies to deliver intelligent, secure, and scalable solutions tailored to client needs.
Key Responsibilities
  • Design and develop scalable AI/ML models to solve real-world problems across various domains.
  • Collaborate with clients to identify AI opportunities and define solution requirements.
  • Build and maintain end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
  • Integrate AI solutions into existing systems and platforms, ensuring performance, reliability, and scalability.
  • Monitor and improve the performance of deployed models through continuous evaluation and retraining.
  • Stay current with the latest advancements in AI/ML research and tools, and apply them to enhance solution effectiveness.
  • Document processes, models, and systems to ensure transparency and reproducibility.
  • Design and implement automations to streamline internal workflows and enhance client-facing services.

Additional Duties
  • Collaborate with cross-functional teams to ensure seamless solution delivery.
  • Provide high-quality customer service and maintain strong client relationships.
  • Understand client business needs and align technology solutions accordingly.
  • Accurately track time, tasks, and expenses in the ticketing system.
  • Participate in customer interviews, feedback loops, and solution ideation.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field - or equivalent experience (e.g., GitHub projects, personal portfolio).
  • Strong programming skills in Python (preferred), Java, or C++.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Proficiency in data manipulation and analysis using Pandas, NumPy, and SQL.
  • Experience with cloud platforms (AWS, Azure, Google Cloud, OpenAI) and MLOps tools.
  • Solid understanding of algorithms, data structures, and software engineering principles.
  • Ability to work independently and collaboratively, with a strong sense of ownership and self-management.
  • Familiarity with NLP, computer vision, reinforcement learning, and large language models (LLMs).
  • Knowledge of data privacy, model interpretability, and ethical AI practices.
  • Contributions to open-source AI projects or published research are a plus.

Skills & Technologies
  • Scripting & Automation: PowerShell, Python (Jinja), Power Automate, REWST, Zapier
  • APIs: REST (required), SOAP (optional), OpenAPI spec, Postman
  • AI Techniques: Retrieval-Augmented Generation (RAG), AI scoring (Model Performance Metrics), reinforcement learning
  • LLM Platforms: OpenAI, Claude, Gemini
  • Microsoft 365 Stack: CoPilot, Power Automate, Function Apps, Email integrations
  • Cloud & Serverless: Azure Function Apps

Benefits (subject to eligibility and length of employment)
  • Health insurance allowance up to $400/month
  • Employer-paid group life insurance policy valued at $100,000
  • 3% employer match on retirement savings plan
  • Aflac individual accident insurance
  • High-speed internet reimbursement up to $40/month
  • $40/month cellular phone allowance
  • 8 paid holidays annually
  • Paid vacation: 5 days/year to start, increasing to 10 days/year after 3 years of service
  • Access to Safe Ride Home Program (Uber ridesharing)

Apply