2 of 2 Remote Apache Airflow Jobs in Reading

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

MLflow to manage the end-to-end ML lifecycle, including experiment tracking, model registry, and deployment. Automate and orchestrate: Use orchestration tools like Airflow to manage complex ML workflows and ensure seamless execution at scale. Optimize infrastructure: Design efficient ML pipelines and leverage cloud services like AWS to ensure … Enterprise RAG Systems, including chunking, reranking techniques, etc. Extra awesome: You have experience working in a B2B SaaS company Experience with orchestration tools (e.g. Airflow) Familiarity with SQL, Spark, or other data processing frameworks Knowledge of Snowflake or other cloud data warehouses. Strong familiarity with agentic frameworks for decision ...