Senior MLOps Engineer - Remote - up to $220k

We’re partnered with a Series B backed startup with proven product-market fit and fresh backing from leading VCs. They’ve already validated their product in the market and are now doubling down on scale. This role offers the chance to shape how production ML systems are built, deployed, and scaled at a pivotal growth stage.

What you’ll do

Build and scale infrastructure for training, deploying, and serving ML models in production

Develop and manage end to end ML pipelines across data, training, evaluation, and deployment

Implement CI/CD workflows to streamline model experimentation and releases

Introduce and own experiment tracking, model versioning, and ML lifecycle best practices

Establish monitoring, logging, and observability for model performance and data quality

Collaborate closely with ML and NLP teams to productionise LLM and agentic applications

Improve system efficiency and delivery velocity across the ML platform

What you’ll bring

* Strong Python engineering skills and experience with modern MLOps tooling

* Hands on experience with cloud infrastructure (AWS preferred) and scalable ML deployments

* Deep familiarity with Docker, Kubernetes, and model serving architectures

* Experience building orchestration pipelines (Airflow, Prefect, Ray, or similar)

* Proven track record taking ML models from experimentation to reliable production systems

* Experience with experiment tracking tools (e.g. MLflow, Weights & Biases) and lifecycle management

* Bonus: experience supporting LLM, RAG, or NLP pipelines in production environments

What’s on offer

* $160k–$220k base + equity

* Fully covered healthcare

* Unlimited PTO

* Annual learning and development allowance