3 of 3 Cloud Run Jobs in the City of London

foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities Design … streaming pipelines, and scheduled workflows Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management Establish reliability and governance – logging ...

Solid understanding of MLOps fundamentals: model lifecycle, reproducibility, deployment patterns, and monitoring needs Hands-on experience with orchestration and distributed processing in a cloud environment Experience with data modelling and ETL/ELT patterns; ability to deliver analysis-ready datasets Familiarity with containerization and deployment workflows (Docker …/CD, basic Kubernetes/serverless concepts) Strong GCP experience and services such as Vertex, BigQuery, Composer, Dataproc, Cloud Run, Dataplex, Cloud Storage/or at least one major cloud provider, GCP, AWS, Azure Strong troubleshooting mindset: ability to debug issues across ...

skills with a solid understanding of data structures, performance, and optimisation strategies Familiarity with GCP and ecosystem knowledge: BigQuery, Composer, Dataproc, Cloud Run, Dataplex Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment Experience with analytical ...