76 to 79 of 79 Clustering Jobs in the UK

DetailsJob Title: GCP FinOps EngineerLocation- Newport, UKKey Responsibilities(Individual contributor role) Optimise large scale data analytics workloads through partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies. Tune containerised microservices by recalibrating CPU/memory requests, improving autoscaling efficiency, and restructuring workload placement on cost efficient compute. Redesign workflow … practices. Key Skills/Knowledge 5+ years of hands-on experience in Google Cloud Strong understanding of GCP Data services (indexing, slots, pruning, partitioning, clustering) Expert-level Kubernetes & GKE resource tuning Hands-on experience with Dataflow job pipelines and worker optimisation Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator ...

DetailsJob Title: GCP FinOps EngineerLocation- Newport, UKKey Responsibilities(Individual contributor role) Optimise large scale data analytics workloads through partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies. Tune containerised microservices by recalibrating CPU/memory requests, improving autoscaling efficiency, and restructuring workload placement on cost efficient compute. Redesign workflow … practices. Key Skills/Knowledge 5+ years of hands-on experience in Google Cloud Strong understanding of GCP Data services (indexing, slots, pruning, partitioning, clustering) Expert-level Kubernetes & GKE resource tuning Hands-on experience with Dataflow job pipelines and worker optimisation Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator ...

teams, to build, advance and make digital capabilities available within the organisation. Predictive Modelling & Machine Learning: Applying techniques such as model predictive control, PCA, clustering, PLS, and neural networks to optimize formulation development and predict material properties. Soft Sensors & Real-Time Process Analytics: Developing soft sensors and edge-sensing solutions … Implementing Bayesian and state-of-the-art approaches to maximize experiment efficiency and accelerate material and process development. Materials Informatics & AI-Assisted Formulation: Using clustering, correlation analysis, and AI to identify best candidates for new materials, predict stability, and guide formulation decisions. Robotic Lab Automation: Designing intelligent robotic workflows that ...

teams, to build, advance and make digital capabilities available within the organisation. Predictive Modelling & Machine Learning:Applying techniques such as model predictive control, PCA, clustering, PLS, and neural networks to optimize formulation development and predict material properties. Soft Sensors & Real-Time Process Analytics: Developing soft sensors and edge-sensing solutions … Implementing Bayesian and state-of-the-art approaches to maximize experiment efficiency and accelerate material and process development. Materials Informatics & AI-Assisted Formulation: Using clustering, correlation analysis, and AI to identify best candidates for new materials, predict stability, and guide formulation decisions. Robotic Lab Automation: Designing intelligent robotic workflows that ...