Top Remote Senior Level Machine Learning Engineer Jobs in CO

Founding engineer responsible for architecting and building core product systems, writing scalable Python backend code, designing and maintaining AI/ML infrastructure, instituting best development practices (testing, CI/CD), collaborating on product roadmap, and mentoring future engineers.

Design, train, and deploy scalable ML models (generative, classification, regression). Define feature roadmaps, collaborate with engineering to implement code and APIs, adapt ML methods for distributed/GPU environments, and create evaluation/annotation programs for fine-tuning and performance measurement.

Design, build, and own scalable backend systems for a composite AI platform (agent systems, LLM integrations, RAG). Drive technical vision, make architectural decisions, promote engineering best practices, and lead cross-team technical direction to deliver mission-critical solutions.

Design and deploy production recommendation and retrieval engines, build data orchestration pipelines for multiple modalities, implement agentic workflow frameworks, and prototype, optimize, and scale models with monitoring, governance, and low-latency SLAs.

Contract Senior Software Engineer to develop and maintain systems for training AI, build reinforcement learning environments using MCP tools, fix bugs, implement features, refactor code, and design reproducible, deterministic evaluation environments and golden reference solutions measuring MCP tool use and software engineering ability.

Lead and build the engineering organization for an AI-driven industrial commerce platform. Own architecture, data pipelines, ML and computer vision integrations, mobile sensor-enabled identification, enterprise system integrations (ERP/DMS), cloud infrastructure, CI/CD, and observability. Hire and mentor distributed teams, deliver rapid MVPs, and establish a scalable technical vision for identification, predictive enrichment, and commerce execution.

Design, train, and evaluate reinforcement-learning policies for Humana's Next Best Action platform. Build and instrument large-scale training pipelines, ensure operation within clinical constraints, collaborate with data and platform engineers, diagnose policy failure modes, and deploy reliable production decision systems.

Design and build data and model layers for an accredited AI decision-support system: record matching, calibrated scoring, provenance-tracked retrieval and generation, secure ingestion pipelines, model packaging/serving, and instrumentation for audit and accreditation.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), and deliver end-to-end solutions. Lead technical workstreams, build reusable components and AI/LLM-based solutions, and apply model evaluation, data quality, and performance monitoring in production.

Design and implement scalable microservices and ML-driven systems to autonomously learn and analyze Azure platform data. Deliver well-tested features, manipulate high-dimensional data, apply deep learning and anomaly detection, collaborate across teams, and follow engineering best practices for reliable, secure cloud systems.

Design and maintain a skill and concept graph, build ML models to infer learner skills, and develop recommendation systems and LLM-driven features. Ship production-ready LLM systems, define explainability standards, partner with frontend and product teams, and monitor model performance and evaluation frameworks.