Top Remote Senior Level Machine Learning Engineer Jobs in CO

Lead end-to-end development and production deployment of AI-powered health features, building and maintaining ML pipelines, backend services, and agentic LLM systems; design evaluation tooling, fine-tune and optimize models, partner with Product and Engineering, and own monitoring and iteration for production AI solutions.

Senior individual contributor owning complex end-to-end ML problems for supply chain and consumer applications. Build and deploy predictive models (demand forecasting, delivery ETA, recommendations), embed with engineering teams, define MLOps standards, and advise leadership on data science strategy and investments.

Seeking a technical co-founder to architect and lead development of an AI-powered data-labeling SaaS. Drive platform and ML engineering, leverage foundational models for AI-assisted labeling, build MVP/demo, and shape product and team. This is an equity-first, no-salary founding role at an early-stage, bootstrapped startup.

Develop and prototype learning-based models using data-centric techniques; design and maintain multi-modal data and feature extraction pipelines; build auto-labeling systems; perform ETL and optimize SQL for analysis/ingestion; collaborate with data infrastructure and ML engineers to integrate workflows; write maintainable code and participate in code reviews to support scalable ML production.

As a Senior ML Engineer, you'll build ML infrastructure, ship AI features, define evaluation strategies, and enhance model decision-making in a dynamic startup environment.

The Senior AI Engineer will design and implement scalable AI platform services, integrate large language models, and optimize AI capabilities within ClickUp's product, collaborating across teams for innovation.

Build, deploy, monitor, and document predictive models and analytical reports; translate findings for non-technical stakeholders; ensure model quality, fairness, and explainability; collaborate with data engineers and train staff on data literacy; support production ML infrastructure on AWS.

Lead AI/ML initiatives at Risepoint to develop predictive models for enhancing student engagement and retention, coordinating cross-functional teams to achieve measurable outcomes.

Lead development of graph-based identity resolution for CTV advertising: design models and validation, analyze large identity datasets with distributed tools, productionize data-science workflows, partner with engineering/product, and apply privacy-by-design while leveraging LLMs and AI-assisted development.

Join the AI Transformation team to co-develop and productionize the Elixir AI platform: implement runtimes, retrieval/memory, multi-model routing, observability, secure multi-tenant features, event-driven agents, and productize FDE-built solutions while partnering with stakeholders and shipping high-quality production software.