Top Remote Machine Learning Jobs in Peoria, IL

Lead the vision, strategy, and evolution of LTK’s creator experience and commerce products. Define creator workflows, identify AI-powered opportunities, analyze behavioral data, establish outcome metrics, and drive experimentation to improve engagement, retention, earnings, and product quality. Collaborate across Product, Engineering, Design, Data, and Creator Success while influencing senior stakeholders and guiding complex, multi-quarter initiatives.

Develop generative AI solutions using Python, AWS, LLMs, chatbots, prompt and context engineering, RAG, vector databases, and agentic AI frameworks. Build coding prompts and contexts with GitHub Copilot, Claude Code, and Amazon Q Developer to convert business stories into production code and pull requests. Design autonomous and multi-agent workflows, memory and token-management systems, caching strategies, MCPs, and real-time AI decisioning features. Auto-lending experience and A/B testing expertise are advantageous.

Owns CSL Plasma’s target-state business architecture, capability models, value streams, architecture decisions, integration standards, and technology roadmaps. Translates business strategy and regulatory requirements into architecture blueprints across digital products, while governing AI, automation, data, and integration patterns. Partners with product, engineering, enterprise architecture, security, privacy, and compliance teams to drive committed designs, architectural consistency, and migration sequencing across a complex regulated environment.

Leads engineering standards, architecture governance, platform strategy, technical quality, security and compliance engineering, and production AI governance across CSL Plasma’s digital products. Manages cross-domain technical teams, sets cloud and integration direction, owns shared engineering platforms and data architecture, and ensures reliable, scalable, regulated software delivery. The role also drives AI-assisted development, production AI operations, engineering metrics, talent development, and alignment with enterprise architecture and cybersecurity.

Own end-to-end client relationships for a book of B2B SaaS customers: drive adoption, engagement, retention, and expansion of AI-powered contract drafting tools. Lead onboarding, training, large-scale rollouts, and translate customer feedback into product improvements while designing scalable CS processes and tracking health metrics to demonstrate value.

Collects, processes, and analyzes data from multiple sources using R, Python, and SQL. Develops reports, visualizations, analytical methods, and data-driven insights while applying statistical and introductory machine learning techniques. Collaborates with internal and external stakeholders, documents project progress in JIRA, debugs code, clarifies requirements, and communicates findings through reports and presentations.

Leads enterprise stress testing and quantitative risk modeling across loan, deposit, capital, and liquidity portfolios. Develops scenario analyses, forecasting models, and proprietary methodologies using statistical modeling, machine learning, Monte Carlo simulation, Python, and SQL. Evaluates model performance, supports governance and validation, provides independent challenge, and communicates portfolio risks and analytical findings to senior management, risk committees, and cross-functional partners.

Lead enterprise data and AI architecture across marketing, customer engagement, digital, sales, and analytics. Design scalable cloud data platforms, reusable data products, semantic models, real-time and batch architectures, governed AI capabilities, machine learning systems, generative AI, agents, recommendations, and personalization. Establish standards for governance, security, privacy, quality, lineage, and observability. Provide technical direction, lead architecture reviews and roadmaps, partner with engineering and data science teams, and mentor architects and engineers.

Lead enterprise security operations, resilience, incident response, threat intelligence, cloud security, IAM, and risk management. Serve as deputy to the CISO and primary incident commander while advising executives on cyber risk. Build and scale multidisciplinary security teams, modernize cloud-native defenses, embed security-by-design across products and AI/ML systems, and establish metrics-driven governance, automation, regulatory alignment, and business-focused security strategies.

Teaches undergraduate and graduate artificial intelligence courses in an online and blended format. Develops syllabi, lesson plans, course materials, assessments, and student feedback aligned with university objectives. Uses online technologies and course software to facilitate learning, integrates responsible AI practices, and evaluates appropriate student use of AI tools. Requires a doctorate, applied AI experience, AI-enabled software development expertise, strong communication skills, and commitment to ongoing faculty development.

Senior Product Designer responsible for creating high-craft, 0-to-1 AI recruiting and talent product experiences. The role involves visual and interaction design, rapid iteration, prototyping, design-system development, production-ready delivery, and experimentation with generative AI. Candidates should have strong Figma expertise, exceptional visual design skills, experience shipping SaaS, enterprise, or AI products, and a portfolio demonstrating creative range and execution.

Leads data engineering teams while designing and optimizing scalable batch and real-time data pipelines on cloud platforms. Responsibilities include developing PySpark and Spark workflows, orchestrating Airflow DAGs, managing cloud infrastructure, implementing CI/CD, improving data quality and performance, and mentoring engineers. The role collaborates with clients, product, architecture, and program management teams, while applying generative AI and DevOps practices to improve engineering productivity and operational efficiency.

Design the full Search experience across organic and sponsored results, including typeahead, ranking, filters, empty states, and monetization. Establish design principles and components, partner with product, research, data science, and ML engineering, and use experimentation to improve engagement, relevance, and revenue. The role requires substantial search or discovery design experience, strong product craft, consumer instincts, and comfort designing alongside AI and monetization teams.

Review, label, and QA datasets for AI/ML training; maintain trackers, databases, and dashboards; follow annotation guidelines and SOPs; prepare and clean data; document processes; collaborate to resolve data queries while ensuring confidentiality and timely delivery.

Leads Propel America's product and technology strategy, including the Fellow Portal, AI integrations, technology roadmap, software development, Salesforce, infrastructure, data systems, cybersecurity, and vendor relationships. Manages technical staff and outsourced IT providers, oversees architecture, QA, releases, compliance, data privacy, and disaster recovery, and partners cross-functionally to translate organizational needs into scalable products and technology solutions.

Own the market growth strategy for Luma in biologics research, including segmentation, positioning, competitive analysis, sales enablement, AI use-case development, thought leadership, and customer adoption. Partner across Siemens, Product, Sales, Marketing, Finance, and Services to translate biologics research needs into software value, build market credibility, support strategic pursuits, and drive pipeline and wins.

Develop, train, evaluate, deploy, and monitor machine learning and statistical models using Databricks, Python, SQL, Spark, Delta Lake, and MLflow. Prepare datasets, engineer features, manage model lifecycles, validate data, and support governance practices. Translate client requirements into scalable analytics solutions, analyze trends, and communicate findings to technical and non-technical stakeholders while collaborating across data science, engineering, cloud, security, and business teams.

Build and operate the platform that schedules, runs, and monitors machine learning training, evaluation, and reinforcement-learning workloads on Kubernetes. Responsibilities include job scheduling, workload networking, runtime isolation, checkpoint storage, automation, infrastructure as code, observability, and production troubleshooting. The role collaborates with AI researchers and ML engineers and includes a compensated 24/7 on-call rotation.

Designs, builds, tests, documents, and maintains large-scale data pipelines across platforms and sources. Performs ETL and ELT, develops data quality and governance processes, supports anomaly detection, and ensures database security and compliance. Collaborates with architects, analysts, and stakeholders to translate business needs into technical solutions. The role also mentors junior engineers, oversees projects, and works with cloud platforms, relational databases, SQL, Python, Spark, and large-scale processing engines.

Develop and validate AI/ML proofs of concept, including agentic systems, MCP integrations, LLM workflows, and cloud-based analytics solutions. Build production-grade Python applications, APIs, microservices, and MLOps pipelines; integrate agents with Azure, AWS, GCP, or large-scale data platforms. Responsibilities include data exploration, workflow automation, testing, monitoring, governance, technical documentation, solution design, mentoring, and communicating AI architectures to stakeholders.

Build and operate model validation, quantization, and safety systems for production ML. Develop pipelines for security scanning, optimization (quantization/pruning), routing, prompt management, and evaluation frameworks measuring accuracy, performance, and safety across model lifecycles.

Leads enterprise AI architecture strategy, standards, governance, and roadmaps across products, platforms, data, and business processes. Guides solutions involving generative AI, agentic AI, RAG, machine learning, automation, cloud platforms, and AI infrastructure. Partners with executives and technical teams on architecture reviews, security, compliance, scalability, and cost optimization; mentors senior engineers and provides hands-on leadership through prototypes and critical problem resolution.

Senior Commercial Counsel will draft, review, and negotiate complex subscription, partnership, vendor, and other commercial agreements. The role primarily supports a global Sales organization, advises cross-functional teams, manages contracts managers, and handles enterprise and strategic partnership transactions. Responsibilities include balancing competing priorities, supporting legal projects, and providing practical, business-minded legal guidance in a fast-paced environment.

Own end-to-end customer deployments for an AI platform used in mining. Learn site operations, create deployment plans, manage stakeholder cadences, track risks and value, and support adoption. Build reports, dashboards, and lightweight tools using SQL, Python, or AI coding tools. Translate field observations into product requirements, support sales and account expansion, and help establish scalable deployment processes and playbooks.

Leads supply chain data science initiatives involving time series forecasting, demand planning, buying, inventory optimization, replenishment, and machine learning. Develops and productionizes advanced forecasting and optimization models, manages ML pipelines and deployment, documents methodologies, troubleshoots code, and collaborates with cross-functional stakeholders. Mentors data scientists, supports Agile processes, and provides technical leadership across model development, monitoring, retraining, and continuous improvement.