76 to 100 of 231 Distributed Computing Jobs in England

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 world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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 … stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products ...

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 world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products ...

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 world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products ...

build and manage robust data pipelines that convert raw, diverse data sources (batch, streaming, real-time and unstructured) into reliable, analysis-ready datasets, using distributed computing techniques to process data at scale. Responsibilities: Design and build data ingestion pipelines and orchestration tooling. Develop database schemas and data models. ...

Need3+ years of experience in a data engineeringStrong proficiency in Python and RustHands-on experience with AWS cloud, Linux, and Docker.Expertise in distributed computing frameworks (Ray, Dask, or Apache Arrow).Strong analytical skills, with the ability to handle large-scale, high-frequency data.Solid understanding of ETL pipelines, data ...

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 ...

ideal candidate has experience working with large datasets and distributed computing technologies. They relish working with large volumes of data, enjoy the challenge of highly complex technical contexts, and above all else are passionate about data and analytics. They are expert in data modelling, ETL design, and business ...

Business Intelligence Engineer, BAT, Data & Analytics Job ID: 10515285 | Amazon EU SARL (UK Branch) The ideal candidate has experience working with large datasets and distributed computing technologies. They relish working with large volumes of data, enjoy the challenge of highly complex technical contexts, and above all else ...

Zero Trust Architecture principles. Experience with service mesh technologies such as Istio. Knowledge of cloud cost optimisation and FinOps principles. Experience with edge or distributed computing architectures. Experience supporting infrastructure transformation and cloud migration programmes. Qualifications A Bachelor's degree in Computer Science, Information Technology, Systems Engineering ...

Live, Virtual and Constructive (LVC) training systems. Proven ability to develop and govern complex technical architectures supporting systems integration, modelling and simulation, distributed computing, data exploitation, operational CIS, and federated training environments. Knowledge of microservices, containerisation, orchestration platforms, and modern software deployment architectures. Knowledge of IT infrastructure, data … centre technologies, server and virtualisation platforms, distributed edge‐compute environments, networking, communications systems, cyber security, and secure operational environments. Strong understanding of engineering governance, technical assurance, quality management, configuration management, technology management, safety, security, and risk management frameworks. Experience with modern engineering and delivery methodologies, including SAFe, Agile, DevSecOps ...

Live, Virtual and Constructive (LVC) training systems. Proven ability to develop and govern complex technical architectures supporting systems integration, modelling and simulation, distributed computing, data exploitation, operational CIS, and federated training environments. Knowledge of microservices, containerisation, orchestration platforms, and modern software deployment architectures. Knowledge of IT infrastructure, data … centre technologies, server and virtualisation platforms, distributed edge-compute environments, networking, communications systems, cyber security, and secure operational environments. Strong understanding of engineering governance, technical assurance, quality management, configuration management, technology management, safety, security, and risk management frameworks. Experience with modern engineering and delivery methodologies, including SAFe, Agile, DevSecOps ...

here: https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels Experience implementing AWS services in a variety of distributed computing environments Data lake architecture and design (Lake Formation, S3-based architectures) Medallion architecture implementation (bronze/silver/gold layer design) Data … Data warehousing solutions (Redshift) Data catalog management and metadata governance Data quality and lineage frameworks, Experience and technical expertise (design and implementation) in cloud computing technologies Experience in large scale migration- data center to data center or data center to cloud infrastructure Data security, compliance, and access controls Performance ...

here: https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels Experience implementing AWS services in a variety of distributed computing environments Data lake architecture and design (Lake Formation, S3-based architectures) Medallion architecture implementation (bronze/silver/gold layer design) Data … Data warehousing solutions (Redshift) Data catalog management and metadata governance Data quality and lineage frameworks, Experience and technical expertise (design and implementation) in cloud computing technologies Experience in large scale migration- data center to data center or data center to cloud infrastructure Data security, compliance, and access controls Performance ...

platform, applied to financial market data.Our stack includes modern C++ for throughput-critical ingestion and simulation, Python with C++ bindings for research tooling, and distributed computing on HPC clusters. Your work will span exchange-data ingestion, HPC orchestration, simulation, and research tooling.Trading experience is not required; we provide … market connectivity.GPU programming experience.Historical network/packet processing (telco, network appliances, packet-capture replay infrastructure).Deterministic simulation and replay systems (game engines, cell simulators, distributed-systems testing frameworks).Dev-productivity or platform-engineering for internal users (making other engineers or researchers faster and safer, at scale).What we evaluate ...

data science libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar)Proven experience building or maintaining machine learning systems in a distributed computing environmentProficiency developing in a Linux environment with attention to performance, correctness, and reproducibilityExceptional attention to detail, particularly when working with imperfect or heterogeneous … software engineeringPreferred QualificationsExperience with experiment management, model evaluation pipelines, or ML workflow orchestrationFamiliarity with modern ML/AI infrastructure patterns (model serving, feature stores, distributed training)Experience with performance profiling and optimization of numerical or modeling codePrior exposure to financial data, time-series analysis, or quantitative research environments“Friends ...

data science libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar) Proven experience building or maintaining machine learning systems in a distributed computing environment Proficiency developing in a Linux environment with attention to performance, correctness, and reproducibility Exceptional attention to detail, particularly when working with imperfect … Qualifications Experience with experiment management, model evaluation pipelines, or ML workflow orchestration Familiarity with modern ML/AI infrastructure patterns (model serving, feature stores, distributed training) Experience with performance profiling and optimization of numerical or modeling code Prior exposure to financial data, time-series analysis, or quantitative research environments ...

Platform Engineer partners with the Analytics product engineering team to design, build and operate platform capabilities that enable our market leading high-performance, distributed computing products to run reliably, securely and efficiently at scale. This includes infrastructure automation, runtime orchestration, CI/CD enablement, observability and performance optimisation. … resilience in a regulated environment. Key accountabilities Define and execute the platform engineering strategy and roadmap aligned to analytics product needs. Design and operate distributed runtime environments including compute orchestration and workload scheduling. Implement Infrastructure as Code (IaC) and automated environment provisioning. Build and maintain CI/CD pipelines ...

Terraform, Ansible, Helm, Chef, Cloud Formation.Basic understanding of YAML, JSON, HTML, XML.Hands on experience in Linux and -or Windows systems and good understanding of distributed computing environments.Experience with CI-CD tooling such as Jenkins, Github, Bitbucket, ArgoCD, Artifactory, Azure DevOps in a large-scale environmentExperience with observability tooling … creating and running queries, managing performance and scalingWorking in a Platform, SRE or Production Engineering group for high availability-critical platforms-applicationsExperience managing a distributed container platform including but not limited to deployment-release management, provisioning, capacity management, workload managementExperience managing container infrastructure and supporting development transformation ...

Helm, Chef, Cloud Formation. Basic understanding of YAML, JSON, HTML, XML. Hands on experience in Linux and -or Windows systems and good understanding of distributed computing environments. Experience with CI‐CD tooling such as Jenkins, Github, Bitbucket, ArgoCD, Artifactory, Azure DevOps in a large-scale environment Experience with … running queries, managing performance and scaling Working in a Platform, SRE or Production Engineering group for high availability-critical platforms-applications Experience managing a distributed container platform including but not limited to deployment-release management, provisioning, capacity management, workload management Experience managing container infrastructure and supporting development transformation ...

applied to financial market data. Our stack includes modern C++ for throughput-critical ingestion and simulation, Python with C++ bindings for research tooling, and distributed computing on HPC clusters. Your work will span exchange-data ingestion, HPC orchestration, simulation, and research tooling. Trading experience is not required … programming experience. Historical network/packet processing (telco, network appliances, packet‐capture replay infrastructure). Deterministic simulation and replay systems (game engines, cell simulators, distributed‐systems testing frameworks). Dev‐productivity or platform‐engineering for internal users (making other engineers or researchers faster and safer, at scale). ...

data into valuable insights for Roke’s National Security customers, enabling downstream analytics and reporting. You’ll be working with diverse data sources, applying distributed compute techniques to handle large datasets.You will be responsible forData pipeline development – Data ingestion and pipeline orchestration design and tooling.Data integration – Integrating and enriching ...