16 of 16 Remote/Hybrid Distributed Computing Jobs in England

passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab … . Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical ...

passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab … . Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical ...

passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab … . Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical ...

passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab … . Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical ...

Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts, and distributed computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka ...

data modeling skills (e.g., dimensional modeling, data vault). * Experience with Azure Data Factory or other orchestration tools. * Understanding of data lakehouse architecture and distributed computing principles. * Experience with CI/CD pipelines and version control (Git). * Knowledge of REST APIs, JSON, and event-driven data processing. ...

transform diverse data sources into valuable insights for our client's National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

complex environments. You will work closely with stakeholders to understand real-world data challenges, transform raw and unstructured data into meaningful insights, and apply distributed compute techniques to manage large-scale, high-volume datasets across batch, streaming, and real-time platforms. Key responsibilities Develop and maintain data ingestion pipelines ...

challenges, transform raw data into meaningful insights, and support analytics and reporting. This includes working with batch, streaming, real-time, and unstructured data, applying distributed compute techniques to handle large datasets efficiently. Key Responsibilities Develop and maintain data ingestion pipelines and orchestration workflows Design database schemas and data models ...

challenges, transform raw data into meaningful insights, and support analytics and reporting. This includes working with batch, streaming, real-time, and unstructured data, applying distributed compute techniques to handle large datasets efficiently. Key Responsibilities Develop and maintain data ingestion pipelines and orchestration workflows Design database schemas and data models ...

challenges, transform raw data into meaningful insights, and support analytics and reporting. This includes working with batch, streaming, real-time, and unstructured data, applying distributed compute techniques to handle large datasets efficiently. This is a hybrid role, with time split between the Manchester office and working from home. ...

automation, testing and ongoing optimisation. A central part of the role will be improving repeatability and security: enabling fast, automated, reliable deployments of distributed workloads to our growing fleet. You'll collaborate closely with a small team, helping to shape the future of Heata's distributed compute platform. … testing. Use Infrastructure as Code (IaC) and configuration tooling (e.g. Terraform, Ansible, Helm) to deliver reproducible environments. Enhance the reliability and scalability of distributed systems running across a hybrid estate. Configure and secure infrastructure across major cloud providers (GCP, AWS, Azure). Contribute to platform observability, monitoring, performance tuning ...

automation, testing and ongoing optimisation. A central part of the role will be improving repeatability and security: enabling fast, automated, reliable deployments of distributed workloads to our growing fleet. You’ll collaborate closely with a small team, helping to shape the future of Heata’s distributed compute platform. … testing. Use Infrastructure as Code (IaC) and configuration tooling (e.g. Terraform, Ansible, Helm ) to deliver reproducible environments. Enhance the reliability and scalability of distributed systems running across a hybrid estate. Configure and secure infrastructure across major cloud providers (GCP, AWS, Azure). Contribute to platform observability, monitoring, performance tuning ...