18 of 18 Distributed Computing Jobs in the UK excluding London

documents. Quickly understand complex systems/code and own key pieces of the system, including delivered quality. Diagnose and troubleshoot complex problems in a distributed computing environment. Establish the best practices in quality, performance & architecture within the team. Mentor Software Engineers & Senior Software Engineers and provide technical leadership. … Platform. About You Desire to build products that solve complex technical problems for end users. 7‐11 years experience developing highly scalable distributed applications, products, and services in Java and Golang. Design and develop REST, gRPC, and GraphQL APIs. Working knowledge of SQL and No‐SQL database technologies. Solid ...

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 ...

Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application Preferred Qualifications Experience using Unix/Linux Experience ...

Commercial DB Engines to Open Source Engines like Aurora-PostgreSQL/MySQL or RedShift, DynamoDB. *Consult for optimal design of database environments, analysing complex distributed production deployments, and making recommendations to optimize performance. *Develop innovative solutions to complex business and technology problems Be a UK national and able … stop you from applying. Why AWS? Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services ...

Design and build data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools … data engineering Your Responsibilities: Design and build scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow ...

Design and build data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools … data engineering Your Responsibilities: Design and build scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow ...

desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver … stop you from applying. Why AWS? Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services ...

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 ...

capabilities clearly to non-technical stakeholders and client teams. What We're Looking For Technical Background: An academic degree in a quantitative field (eg, Computing, Mathematics, Physics) or equivalent commercial engineering experience. Python Development: Strong programming capabilities with a focus on writing maintainable, reusable, and thoroughly verified codebases. Infrastructure … clearance required. Travel to client locations is expected. Highly Desirable Background working on public sector, aerospace, or similarly regulated engineering projects. Familiarity with distributed computing and messaging services (such as Spark or Kafka). Experience developing APIs and rapid internal interfaces (such as FastAPI, Flask, Streamlit, or Gradio ...

capabilities clearly to non-technical stakeholders and client teams. What We're Looking For Technical Background: An academic degree in a quantitative field (eg, Computing, Mathematics, Physics) or equivalent commercial engineering experience. Python Development: Strong programming capabilities with a focus on writing maintainable, reusable, and thoroughly verified codebases. Infrastructure … clearance required. Travel to client locations is expected. Highly Desirable Background working on public sector, aerospace, or similarly regulated engineering projects. Familiarity with distributed computing and messaging services (such as Spark or Kafka). Experience developing APIs and rapid internal interfaces (such as FastAPI, Flask, Streamlit, or Gradio ...

stack for the LLM era. As AI transitions from experimental to "agentic" and "AI-native" infrastructure, we are building the super-node clusters and distributed architectures that will power the next generation of global data centres. This is a unique hybrid role positioned at the intersection of academic-grade …/NPU clusters at a massive scale. The Technical Challenge ️ As a Systems Research Engineer, you will tackle the "bottleneck" problems of modern AI: Distributed Systems R&D: Architecting components for CPU, GPU, and NPU clusters with a focus on modularity and extreme scalability. Performance Engineering: In-depth profiling ...

stack for the LLM era. As AI transitions from experimental to "agentic" and "AI-native" infrastructure, we are building the super-node clusters and distributed architectures that will power the next generation of global data centres. This is a unique hybrid role positioned at the intersection of academic-grade …/NPU clusters at a massive scale. The Technical Challenge 🛠️ As a Systems Research Engineer, you will tackle the "bottleneck" problems of modern AI: Distributed Systems R&D: Architecting components for CPU, GPU, and NPU clusters with a focus on modularity and extreme scalability. Performance Engineering: In-depth profiling ...

desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver … stop you from applying. Why AWS? Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services ...

desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver … desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver ...