Role overview
Senior MLOps Engineer | Remote (U.S.) | $160,000 - $220,000 base + benefits | Permanent
We’re partnered with a high‑growth technology company building out its Machine Learning Platform function and seeking a Senior MLOps Engineer. This role sits at the heart of their production AI environment and will focus on creating scalable, reliable systems that support continuous training, deployment, and monitoring of ML models.
If you’re an engineer who knows how to turn research models into robust, repeatable production systems, this is a strong opportunity to join a well‑funded, engineering‑first business operating at national scale.
The Role:
You’ll work alongside Data Science, Platform Engineering, and Software Engineering to design the infrastructure, tooling, and automation that powers their ML lifecycle. This is a senior technical contributor role with ownership, autonomy, and influence on architecture and roadmap.
What we're looking for
- Build and maintain end‑to‑end ML pipelines (training, deployment, monitoring)
- Develop scalable model‑serving systems across batch and real‑time use cases
- Implement CI/CD workflows for ML
- Set standards for observability, reliability, and model governance
- Automate retraining and model promotion workflows
- Collaborate across teams to improve platform performance and engineering velocity
- Strong Python engineering background
- Hands‑on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure)
- Experience with ML workflow tools (e.g., MLflow, Kubeflow, SageMaker, Vertex, Airflow, Dagster, Prefect)
- Strong understanding of model deployment, distributed systems, and data pipelines
- Practical experience building production ML systems
- Familiarity with feature stores or model registries
- Monitoring/observability tooling
- Streaming platforms such as Kafka or Kinesis
- Terraform or other IaC tools
- Experience with LLM/GenAI‑related pipelines
If you’d like to discuss this role, please reach out with your resume or message me directly here on LinkedIn.