Top Remote Machine Learning Jobs in Columbus, OH

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.

Serve as primary client contact for a portfolio of loyalty-program clients. Scope and manage end-to-end actuarial analyses rooted in predictive modeling and machine learning, validate model outputs, translate results into clear recommendations and presentations, and partner with analysts and data scientists to deliver high-quality, client-facing work in a fully remote consulting environment.

Lead growth data science initiatives by partnering with Marketing, Sales, and Customer Experience leaders. Develop analyses, experimentation frameworks, and machine learning models for acquisition, engagement, retention, monetization, targeting, segmentation, uplift modeling, and lifetime value prediction. Productionize reliable models with engineering teams, communicate insights to senior stakeholders, establish experimentation best practices, and mentor junior data scientists. The role requires strong business judgment, advanced technical expertise, and experience operating in ambiguous, zero-to-one environments.

Build and deploy production machine learning systems for personalized recommendations, fraud detection, risk scoring, ranking, classification, and anomaly detection. Own the full ML lifecycle, including mathematical formulation, feature engineering, training, evaluation, A/B testing, deployment, monitoring, and reliability. Develop low-latency real-time inference services using large-scale donor and transaction data, collaborate with Platform and DevOps teams, and mentor engineers on ML best practices and scientific rigor.

The General Counsel will lead the in-house legal function, advise executive leadership and the Board, manage legal teams and outside counsel, and oversee corporate, regulatory, privacy, AI, employment, intellectual property, litigation, and contract matters. The role will guide product and sales initiatives, develop scalable legal workflows, manage risk, support HR, and advise on consumer protection, fintech regulations, data privacy, and emerging AI frameworks as the company expands.

Build backend services, data pipelines, detection features, and AI agents for email security. Integrate machine learning and large language models into investigation workflows, evaluate attack detection accuracy, improve reliability and performance, and own features from design through production release. Collaborate with ML engineers, data scientists, and software engineers while contributing tested code, technical designs, and code reviews.

Lead managed services for clients' Azure, Databricks, and Microsoft Fabric data environments. Architect, implement, monitor, troubleshoot, and govern data platforms, ETL pipelines, data warehouses, semantic models, reporting, and AI/ML solutions. Manage incidents and SLAs, advise clients on licensing and technical strategy, communicate solutions, document environments, and mentor distributed engineering teams.

Leads technical discovery, enterprise solution architecture, technology assessments, and implementation roadmaps for consulting clients. Designs architectures across applications, data, cloud, integration, and enterprise technology; advises executives on technology decisions, scalability, security, cost, and risk. Guides technical teams, resolves complex delivery challenges, develops proofs of concept and reusable standards, evaluates emerging technologies, and supports proposals, estimates, statements of work, and new business development.

Build and own ClickUp’s AI evaluation systems, agent harness, self-improvement loops, model benchmarking, routing, and fallback strategies. Architect scalable backend and AI platform services for LLM deployment, orchestration, monitoring, logging, and automated evaluation. Improve reliability, privacy, security, and compliance while integrating AI features into the core product and collaborating cross-functionally.

Own company-level strategic initiatives, establish measurable goals, diagnose delivery risks, and recommend resource reallocations. Lead cross-functional transformation focused on go-to-market scalability, annual planning, quarterly reprioritization, monthly business reviews, and AI-enabled operational reporting. Partner with executives and functional leaders to improve the operating model, automate KPI tracking, communicate priorities, and increase organizational velocity.

Own the full enterprise sales cycle for Neuron7.ai’s AI-powered Service Resolution Intelligence platform. Responsibilities include prospecting, executive discovery, strategic account planning, ROI development, technical evaluations, negotiation, procurement, and closing new-logo enterprise deals. The role targets high-tech, manufacturing, and medical device organizations, requiring independent pipeline generation, accurate forecasting, executive relationship management, and collaboration with solution consultants, architects, product, and customer success teams.

Own regional enterprise revenue and go-to-market strategy for AI-powered field service solutions. Lead pipeline generation, forecasting, territory planning, major new-logo deals, and C-level relationships. Hire, coach, and retain Account Executives while driving disciplined sales execution across high-tech, manufacturing, and medical device industries. Lead strategic enterprise sales cycles and position Agentic AI and automation solutions for complex service operations.

Leads Cohere’s global Customer Success, Services, and Technical Support teams, driving adoption, customer experience, lifecycle strategy, and executive-level customer advocacy. Defines workflows and handoffs, coaches functional leaders, analyzes customer and support data, improves the customer journey, and influences product strategy. Partners with pre-sales, Product Management, and Machine Learning Engineering to represent customer needs and deliver value to enterprise AI customers.

Own strategy and execution for a gaming-oriented B2C mobile app focused on advertising, rewards, loyalty, and commerce. Responsibilities include roadmap and backlog management, analytics and A/B testing, conversion optimization, user research, competitive analysis, product documentation, prioritization, and cross-functional collaboration with engineering, design, marketing, legal, operations, and support teams.

Own Carrum Health’s member and employer growth funnels, including landing pages, activation journeys, eligibility and sign-up flows, experimentation, attribution, and lower-acuity service-line launches. Partner with engineering, design, marketing, sales, care, compliance, and machine learning teams to improve conversion and access to specialty care. Lead a growth pod, build scalable content systems, use AI for rapid prototyping, and optimize responsibly within healthcare privacy and clinical guardrails.

Own product and research launch marketing from technical positioning through distribution. Translate AI research, training runs, and benchmarks into blogs, explainers, social content, landing pages, documentation, sales collateral, and campaigns. Engage technical communities, coordinate cross-platform launches, and use analytics to optimize reach, engagement, traffic, and adoption. The role requires strong technical writing, product marketing judgment, rapid execution, and experience communicating AI, ML, or developer tools to developers and enterprise audiences.

Leads the university’s information security architecture and engineering strategy, including cloud, network, endpoint, application, data, identity, and AI security. Establishes zero trust, DevSecOps, infrastructure-as-code, and security-as-code practices; oversees architecture, technology selection, compliance alignment, automation, and AI security initiatives. Builds roadmaps, secures funding, manages strategic initiatives, and leads, recruits, mentors, and develops security architects, engineers, and managers while advising executive leadership.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Leads architecture and production delivery of a near-real-time observability platform for large-scale AI supercomputers. Responsibilities include telemetry ingestion, processing, storage, querying, topology and health modeling, 1P/3P data convergence, AI-assisted anomaly detection, technician dashboards, repair validation, security, reliability, cross-team technical leadership, and mentoring.

Conduct life insurance underwriting audits and complex case reviews, assess mortality and risk data, make decisions within an $8 million authority, and evaluate automated underwriting models. Partner with engineering, data science, actuarial, compliance, and customer experience teams to identify rule gaps, improve audit processes, and maintain underwriting accuracy as automated systems evolve.

Leads advanced analytics, AI, automation, and scientific computing initiatives supporting pharmaceutical clinical development. Translates scientific and business requirements into scalable analytical products, software specifications, decision-support tools, and production automation. Partners across biometrics, clinical development, IT, and business teams; evaluates emerging AI technologies; improves regulated workflows; establishes value metrics; drives adoption and change management; and mentors technical talent.

Conduct research at the intersection of AI, cybersecurity, and computer systems. Formulate research questions, design experiments, build prototypes, evaluate AI and security methods, analyze real-world security data, and communicate findings through reports, presentations, and potential publications. The role combines research with practical engineering and offers mentorship while developing independence.

Build and evolve machine learning tooling and infrastructure for AI-powered clinical solutions, including automated prompt tuning, feedback loops, model benchmarking, experimentation, and evaluation. Partner with data science, clinical, software engineering, and product teams to develop scalable solutions, solve ambiguous technical problems, establish engineering standards, and provide technical mentorship without direct management responsibility.

Leads the enterprise Data Science and AI vision, strategy, roadmap, and global organization. Oversees production-grade machine learning, Generative AI, Agentic AI, predictive modeling, AI governance, deployment, monitoring, cost optimization, and responsible AI. Partners with executive, product, engineering, commercial, legal, operations, and customer success stakeholders to deliver scalable AI products, automation, improved customer outcomes, and measurable business value.

Designs and scales AI-driven security GRC automation, including compliance evidence collection, control testing, risk assessment, audit preparation, and workflow integration. Builds scripts, bots, APIs, and AI/LLM solutions; integrates GRC platforms with security and IT systems; establishes quality controls and guardrails; monitors automation risk and performance; and partners with technical and business stakeholders to improve security compliance maturity.