Top Machine Learning Jobs in Peoria, IL

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

The Technical Marketing Manager will oversee marketing for AppSec, AI/ML Security, and Research & Engineering, focusing on content creation, social media, demand generation, and analytics. This role requires technical fluency and collaboration with engineering teams to effectively communicate complex concepts to technical and business audiences.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Senior Data Engineer will develop real-time streaming data pipelines for pricing algorithms and machine learning models, ensuring low-latency data delivery and system reliability. Responsibilities include collaborating with other teams, defining architectural standards, and mentoring junior engineers.

The Talent Researcher role involves building talent maps in AI, ML, and voice technology, translating hiring signals into research plans, and delivering market intelligence to enhance recruitment processes.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

The Senior Customer Success Manager drives revenue growth by ensuring customer satisfaction, building strong relationships, managing renewals, and promoting product solutions aligned with client goals.

Manage and evolve content policies for AI systems, ensuring user safety and creative expression while adapting to cultural shifts and technological changes.

Lead the application of reinforcement learning techniques to enhance models for creative tasks. Require strong programming and machine learning project experience with a focus on user interface.

Design and build backend systems and APIs for AI-driven products, ensuring scalability, reliability, and integration of ML models while collaborating with engineering and product teams.

The Principal Product Manager will define and drive multi-team AI and product strategies, focusing on AI customer service innovations and leading cross-functional initiatives to achieve measurable business impact while engaging with customers and stakeholders.

The Group Product Manager will lead the Contracts product team, emphasizing AI integration, user engagement, and workflow automation while ensuring effective collaboration with various stakeholders.

The Senior Director will lead global teams in technology services, ensuring operational excellence, collaboration across functions, and driving technical strategy for digital solutions.

The VP Analyst will provide insights to C-level clients on enterprise application services and AI capabilities, conduct research and analysis, and develop thought leadership content while advising clients on strategies and implementations.

The Head of Marketing Transformation leads strategic planning and initiatives for data-driven marketing, overseeing performance measurement, budget management, and AI implementation to drive growth in acquisition and retention.

Lead the development of deep learning models for email data, optimize models, design evaluation frameworks, integrate products, and mentor junior researchers.

Design and manage curated fact and dimension datasets, semantic/subject-area models, and governance. Partner with BI and data engineering to enable self-service analytics, ensure data quality and documentation, and prepare datasets to support future ML and advanced analytics.

Lead development and execution of MVB's AI and automation strategy, including Generative and Agentic AI and RPA. Partner with business and technical stakeholders to design, pilot, and scale solutions, establish governance and best practices, monitor performance metrics, manage vendors, and deliver training to ensure ethical, secure, and effective AI deployments.