6 of 6 Permanent Dagster Jobs in the South East

control and code review methodologies. Experience delivering within modern DataOps environments. Data Orchestration & Observability Experience with tools such as: Airflow Azure Data Factory (ADF) Dagster Similar data orchestration and monitoring platforms Business Intelligence Experience with: Power BI Tableau Looker Semantic modelling and metrics layer concepts Agile Delivery Scrum, Kanban ...

clients. The Role You will: Own and develop the infrastructure supporting AI and ML services. Build and maintain orchestration pipelines using tools such as Dagster, Airflow or Prefect. Deploy, manage and optimise workloads in Kubernetes environments. Improve monitoring, observability and platform reliability. Implement infrastructure-as-code and CI/ ...

code technologies such as Terraform, Bicep, or Pulumi. Knowledge of monitoring and observability tooling such as Prometheus and Grafana. Experience with orchestration platforms including Dagster, Airflow, Prefect, or similar. BENEFITS The successful Senior MLOps Engineer will receive the following benefits: Salary between £75,000 - £85,000 - depending on experience ...

platform and expanding their engineering capability. The Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure ...

teamwork skills. Passion for building scalable in-house technology solutions using both custom and off-the-shelf tools. Nice to Have Experience with Dagster or similar orchestration platforms. Familiarity with CI/CD pipelines and tools such as GitHub Actions. Knowledge of REST and/or GraphQL APIs. Experience ...

infrastructure that powers a suite of AI and machine learning services. Design, build, and maintain production-grade ML orchestration pipelines using tools such as Dagster, Airflow, Prefect, or similar technologies. Deploy, monitor, and scale machine learning models and LLM-powered solutions in production environments. Build and maintain cloud-native … will have: Strong commercial experience in Python software engineering. Experience deploying and managing machine learning infrastructure in production. Knowledge of orchestration tools such as Dagster, Airflow, Prefect, or similar. Hands-on experience with Kubernetes and containerised workloads. Expertise in Infrastructure as Code using Terraform, Bicep, Pulumi, or comparable technologies. ...