Top Machine Learning Jobs in Oklahoma City, OK

Drive new enterprise business for Automation Anywhere’s Agentic Process Automation platform. Responsibilities include prospecting, managing sales pipelines, conducting customer presentations and demonstrations, attending industry events, leading proof-of-concept exercises and RFX responses, and coordinating solution design with technical teams. The role requires consultative enterprise software selling, quota attainment, technical communication, and collaboration with sales engineers, partners, and professional services.

Leads strategy, roadmaps, business cases, adoption, and value measurement for enterprise AI products, beginning with AI-driven field-service dispatch optimization. Partners with data science, engineering, operations, finance, marketing, IT, and vendors to deliver measurable business outcomes, manage pilots and rollouts, establish responsible AI practices, and build a scalable AI product function.

Own the strategy, architecture, development, deployment, monitoring, and continuous improvement of production personalization and recommendation systems. Build custom embeddings, ranking models, and shared representations across feeds, search, and recommendations. Lead ambiguous problems from concept to measurable customer impact, establish AI evaluation standards, partner with product and data teams, make cross-team technical decisions, and coach senior engineers.

Engineer AI-powered threat detections, automated response playbooks, and continuous adversary emulation. Apply machine learning and LLMs to security operations, conduct threat hunting and AI red teaming, map coverage to MITRE ATT&CK, and develop detection-as-code through CI/CD. Build production-grade Python integrations, measurable containment capabilities, and safe autonomous defenses with guardrails. Mentor security professionals and collaborate across threat response, cyber defense engineering, and platform teams.

Develop technical employment-marketing content that showcases Socure’s engineering challenges, architecture, APIs, machine learning, identity, fraud, and infrastructure work. Interview engineers and technical leaders, write blogs, deep dives, whitepapers, and recruiting copy, and distribute content through developer communities, publications, social channels, and talent platforms. Partner with engineering, recruiting, employer brand, marketing, design, and subject matter experts while maintaining editorial quality and using AI tools thoughtfully.

IT Intern supporting employees with hardware, software, network, and device troubleshooting; assisting with installations, system maintenance, documentation, asset inventories, security monitoring, upgrades, cloud integrations, and process automation. The role also involves improving IT workflows, ensuring data security compliance, and collaborating on technology projects during a full-time summer internship.

Establish and lead the People Analytics function, building trusted workforce data foundations, governance, privacy standards, analytical products, workforce planning capabilities, and AI-enabled decision support. Partner across HR, Finance, IT, and business leadership to deliver executive insights, improve workforce decisions, and scale analytics operations. Recruit and develop the analytics team while ensuring responsible data use, global-local compliance, stakeholder adoption, and alignment with organizational priorities.

Founding Product Manager responsible for defining and launching Hightouch’s Agentic Personalization product. The role includes customer discovery, product strategy, agent workflow and approval design, roadmap sequencing, technical decision-making, revenue alignment, competitive positioning, customer calls, and go-to-market collaboration. The PM will work cross-functionally with engineering, design, sales, customer success, founders, and executives to establish product-market fit and scale a new enterprise SaaS offering.

Leads Hightouch’s machine learning organization, including product development, technical roadmapping, recruiting, reliability, and people management. The role focuses on personalization, product recommendations, probabilistic identity resolution, LLM-powered content generation, and scalable machine learning infrastructure for model training and inference.

Design and launch 0-to-1 AI-powered marketing tools for Hightouch’s Agents product suite. Responsibilities include rapid prototyping, customer research, synthesizing usage data and feedback, shaping product strategy, and collaborating with designers, engineers, and product managers. The role requires strong visual, UI, and interaction design skills, comfort with ambiguity, curiosity about AI, and rapid iteration in a remote-first environment.

Develop applied AI research prototypes and systems for agentic marketing applications, focusing on generative image and video, brand asset creation, data workflows, and autonomous evaluation. The role combines probabilistic and quantitative reasoning, backend system architecture, product intuition, experimentation, and customer-focused product development. Responsibilities include building proofs of concept, improving AI-generated media realism and brand alignment, and architecting agentic systems.

Owns multistate U.S. property and casualty insurance product filings from drafting through approval, including AI model documentation, SERFF submissions, objection responses, and regulatory inquiries. The role supports carrier clients, monitors state requirements, develops scalable filing processes, and coordinates with data science, actuarial, product, counsel, regulators, and industry stakeholders. Requires strong technical writing, insurance regulatory expertise, independent judgment, and the ability to translate complex predictive modeling methods into regulator-acceptable documentation.

Supports Woolpert’s strategic Google partnership by coordinating joint go-to-market initiatives, integrated campaigns, events, webinars, customer stories, and digital programs. Develops partner sales enablement materials and messaging for complex digital capabilities, builds relationships across Google and internal teams, supports co-selling opportunities, and tracks campaign performance, pipeline influence, engagement, and marketing ROI. The role requires cross-functional collaboration with marketing, sales, technical, and executive stakeholders, with travel up to 25%.

Manage complex customer issues, triage support activity, and coordinate escalations across Client Engagement, Product, Engineering, and project teams. Analyze tickets and feedback to identify trends, risks, process gaps, and product opportunities. Improve support operations through documentation, dashboards, workflows, routing logic, playbooks, and feedback loops. Serve as a customer advocate while supporting strategic initiatives and strengthening handoffs, prioritization, and operational decision-making.

Lead data engineering and machine learning initiatives by designing, architecting, developing, and supporting GCP data pipelines. Create information architecture documentation, estimate and plan technical work, collaborate with project teams and business analysts, and translate requirements into technical designs. Develop Python-based ELT pipelines, optimize BigQuery SQL, support CI/CD, and provide technical leadership to projects and teams.

Build analytical frameworks, measurement methodologies, and decision support to drive enterprise decisions across marketing, loyalty, pricing, menu, media, and operations. Mine and integrate customer, transaction, digital, and operational data; develop segmentation, predictive models, and dashboards; lead test-and-learn, incrementality, and forecasting efforts; translate analysis into clear business recommendations and scalable decisioning tools.

Leads the data science platform and machine learning strategy, building data marts, predictive models, MLOps infrastructure, and analytics capabilities. Analyzes healthcare claims, clinical, workflow, and operational data to risk-stratify patients, assess clinical program impact, support dashboards, and improve patient and provider engagement. Collaborates with clinical, operations, finance, product, executive, and technology teams while serving as a trusted analytics expert for a business workstream.

Develop deep learning and AI/ML models to predict cardiac events from ECG and physiological signals. Apply signal processing, analyze implantable-device datasets, build Python tools, validate algorithms, and support feasibility studies for diagnostic features. Collaborate with clinical, software, and hardware teams to improve implantable-device performance and patient outcomes.

Generates and qualifies leads through outbound outreach, manages sales pipelines and CRM activity, conducts product demonstrations, guides prospects through the sales process, builds customer relationships, meets quotas, and collaborates with marketing, product, and customer success teams. The role requires inside sales experience, SaaS or technology familiarity, strong communication and negotiation skills, CRM proficiency, and up to 20% travel.

Delivers customer-facing training in AI, data, and software engineering; creates tailored courses, projects, certifications, and assessments on the DataCamp platform. Partners with Customer Success, Sales, Product, and Content teams to design blended learning paths, teach virtual and onsite sessions, tailor materials for varied audiences, and improve customer adoption, satisfaction, and measurable skills.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

Leads Clipboard’s Applied Science function and team, setting the science roadmap across marketplace pricing, auctions, causal models, metrics, and experimentation. The manager balances production modeling with analytical work, partners with engineering, product, finance, and operations, and mentors and hires scientists. Responsibilities include developing and deploying quantitative models, designing experiments, defining marketplace metrics, prioritizing initiatives, and communicating findings to business and technical stakeholders.

Leads complex enterprise customer engagements as a technical authority for Databricks data and AI solutions. Drives architecture, platform adoption, consumption strategy, competitive positioning, and executive relationships. Designs large-scale data, streaming, migration, governance, and AI/ML solutions; orchestrates cross-functional teams; mentors other solutions architects; and contributes to technical thought leadership. Requires advanced coding, enterprise data architecture expertise, Databricks proficiency, strategic account leadership, and executive communication.

Leads large-scale enterprise application development, modernization, and sustainment programs. Oversees Agile teams, program governance, schedules, budgets, risks, resources, stakeholder communications, cloud modernization, DevSecOps, AI, user adoption, and cybersecurity compliance. The role coordinates technical and business stakeholders, manages Appian and Google Cloud initiatives, drives continuous improvement, and ensures delivery quality, security, performance, and alignment with government objectives.