101 to 125 of 262 Distributed Computing Jobs in the UK

development primarily in Golang, but also with languages such as Java, Python, Node.js, or C# Deep understanding of microservices architecture, event‐driven systems, and distributed computing Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker). Advanced knowledge of SQL and NoSQL databases. Strong background ...

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 ...

scaling KDB+ solutions. Strong knowledge of market data, trading systems, or real-time analytics. Experience with data pipelines, cloud-based KDB+ deployments, and distributed computing. Ability to lead projects, optimize system architecture, and mentor junior developers. Preferred Qualifications (for all levels): Experience with high-frequency trading, quantitative finance ...

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 ...

Storage solutionRefine sales strategy and tactics, taking command of technical responsibilitiesDelight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spacesTake control of evaluations, benchmarks and system configurationsBuild … systems, cloud, or software to enterprise accounts preferredDeep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutionsPrior experience in targeting new prospects and converting them into clientsContribute significant portions and/or lead responses to RFPs, RFQs and RFIsSuperior knowledge ...

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 ...

National Security customers, enabling downstream analytics and reporting. You’ll be working with diverse data sources (batch, streaming, real-time and unstructured), applying distributed compute techniques to handle large datasets. What You’ll Do Data pipeline development - Data ingestion and pipeline orchestration design and tooling. Database schema design/ ...

enables quants, data scientists, and engineers to create, share, and run code at scale. Our multidisciplinary team are delivering notebook experiences with Jupyter & VSCode, distributed compute with Dask/Spark, and the runtime building blocks that power model development, pricing, and risk analytics across the organization. You’ll help ...

seeking Systems Research Engineers with a strong interest in computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model … optimize next-generation AI infrastructure. Required Qualifications and Skills: Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field. Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. Hands-on experience with LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT ...

robust data pipelines to assist analysis of large datasets Develop infrastructure for trading services to convert research ideas into production Experience with large-scale distributed computing technologies Requirements Bachelor’s degree or higher in computer science or other quantitative discipline 3+ years of Python/C++ required. (Post ...

analytics Experience with signal pipelines, research platforms, backtesting systems, or live trading infrastructure Experience building monitoring tools, dashboards, or operational analytics platforms Familiarity with distributed computing, workflow orchestration, or large-scale data pipelines Experience using LLMs, coding agents, or AI tools to automate software development, testing, documentation ...

models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands‐on experience with AWS services related to AI deployment and workflow orchestration. Why Join ...

teams to integrate pricing models and workflow enhancements within the ACE application. There will be exposure to a wide range of technological frameworks, including distributed computing architecture. Responsibilities Developing and maintaining the Counterparty Credit Risk applications, leveraging in-house Python and C++ model libraries. Supporting and improving ...

models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands‐on experience with AWS services related to AI deployment and workflow orchestration. Why Join ...

teams to integrate pricing models and workflow enhancements within the ACE application. There will be exposure to a wide range of technological frameworks, including distributed computing architecture.The role will involve tasks such as:Developing and maintaining the Counterparty Credit Risk applications, leveraging in-house Python and C++ model ...