176 to 200 of 204 Distributed Computing Jobs in England

record of taking research ideas to productionTrack record of promoting statistical rigour and experimental best practice across a teamPrior experience with large datasets and distributed computing (e.g. spark, hadoop or other map-reduce tech)Experience working in a fast-moving tech company or startupThis is a full-time ...

testing, and in-depth monitoring Enforce development standards for source control, testing, and continuous integration for infrastructure, OS, patches, and configuration management Manage a distributed compute environment and multiple petabyte-scale storage systems Install, manage, and monitor the Linux operating system (RHEL based) Troubleshoot complex hardware and software issues ...

testing, and in-depth monitoring Enforce development standards for source control, testing, and continuous integration for infrastructure, OS, patches, and configuration management Manage a distributed compute environment and multiple petabyte-scale storage systems Install, manage, and monitor the Linux operating system (RHEL based) Troubleshoot complex hardware and software issues ...

provide advanced technical leadership for architecting, building and scaling UCL’s enterprise data platform. This includes modern data engineering, cloud data lakehouse development, distributed compute, data modelling, metadata/lineage services, self-service analytics enablement, and AI-driven data automation.About youTo be considered for this exciting and challenging role … expertise in modern cloud data platforms (Azure preferred).Strong experience designing and building enterprise-grade Data Lakes/Lakehouses, ETL/ELT, streaming, and distributed compute.Expertise in SQL, Python, data modelling, metadata management, data cataloguing and lineage.Strong understanding of governance, security, compliance and data quality frameworks.Experience designing scalable architectures ...

software architecture, system design and development of complex engineering or scientific software systems.Technological breadth across potential development languages and platforms including desktop, web, and distributed computing which may include the cloud.A proven ability to design scalable and extensible architectures; develop cloud infrastructure and distributed systems … without time limit or sponsorship. A highly competitive salary is on offer, with further benefits anticipated in line with company growth.Keywords: CAE systems, desktop, distributed, cloud, architect, senior software engineer, senior software developer, Claude, Codex, server-side, front end, full stack.Please note: even if you don’t have exactly ...

architecture, system design and development of complex engineering or scientific software systems. Technological breadth across potential development languages and platforms including desktop, web, and distributed computing which may include the cloud. A proven ability to design scalable and extensible architectures; develop cloud infrastructure and distributed systems … time limit or sponsorship. A highly competitive salary is on offer, with further benefits anticipated in line with company growth. Keywords: CAE systems, desktop, distributed, cloud, architect, senior software engineer, senior software developer, Claude, Codex, server-side, front end, full stack. Another top job from ECM, the high-tech ...

development; some experience in contract securityProficiency in Golang/GoUnderstand how Compound, dYdX, Kyber, 0x, makerdao worksFamiliar with encryption algorithms, consensus mechanisms, security protocols, distributed computing, smart contracts and other underlying protocols and operating mechanisms are preferredThe environment is that of Facebook or Google, relaxed open with time ...

programming language such as C++, Java, Node.js, Go, PythonUnderstand how Compound, dYdX, Kyber, 0x, makerdao worksFamiliar with encryption algorithms, consensus mechanisms, security protocols, distributed computing, smart contracts and other underlying protocols and operating mechanisms are preferredThe environment is that of Facebook or Google, relaxed open with time ...

side environment • Understanding of Low Latency Infrastructure • Understanding of Trade Order Books • Ideally Familiar with encryption algorithms, consensus mechanisms, security protocols, distributed computing. The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with ...

experience with one or more technologies relevant to these areas:Ingesting, transforming, enriching, and integrating data from diverse sources into well-structured information assets.Distributed computing techniques like parallel processing, streaming, batch workflow orchestration that enable handling large data volumes.ETL, data pipelines, and automated workflows for moving and processing data.Optimising … building scalable, high-performance data solutions.Data modelling, warehouse design, database optimization knowledge - with samples of logical/physical models that reflect proficiency.Deploying, and managing distributed data systems.Ability to monitor, troubleshoot, and tune these systems for reliability and performance.Coding experience that demonstrates modularity, reusability, and efficiency - across languages.Understanding full development ...

experience with one or more technologies relevant to these areas:Ingesting, transforming, enriching, and integrating data from diverse sources into well-structured information assets.Distributed computing techniques like parallel processing, streaming, batch workflow orchestration that enable handling large data volumes.ETL, data pipelines, and automated workflows for moving and processing data.Optimising … building scalable, high-performance data solutions.Data modelling, warehouse design, database optimization knowledge - with samples of logical/physical models that reflect proficiency.Deploying, and managing distributed data systems.Ability to monitor, troubleshoot, and tune these systems for reliability and performance.Coding experience that demonstrates modularity, reusability, and efficiency - across languages.Understanding full development ...

experience with one or more technologies relevant to these areas:Ingesting, transforming, enriching, and integrating data from diverse sources into well-structured information assets.Distributed computing techniques like parallel processing, streaming, batch workflow orchestration that enable handling large data volumes.ETL, data pipelines, and automated workflows for moving and processing data.Optimising … building scalable, high-performance data solutions.Data modelling, warehouse design, database optimization knowledge - with samples of logical/physical models that reflect proficiency.Deploying, and managing distributed data systems.Ability to monitor, troubleshoot, and tune these systems for reliability and performance.Coding experience that demonstrates modularity, reusability, and efficiency - across languages.Understanding full development ...

looking for an Engineering Manager who can lead a team of high-performing engineers to build the "nervous system" of our lab, designing the distributed training infrastructure, LLMOps pipelines, and experimental frameworks that power our state-of-the-art research.About the Role:As the Manager of Research Engineering … within a fast-paced, experimental research environment.Infrastructure & LLMOps Strategy: Own the technical strategy for our LLM training and inference infrastructure. This includes managing distributed compute clusters (LambdaLabs/AWS), orchestration platforms (e.g., ClearML, Kubernetes), and data pipelines.Vendor & Governance Management: Lead the evaluation and onboarding of external technology vendors. ...

services, advancing multi-objective optimisation while working with other Senior and Staff Data Scientists on decisioning systems. You will collaborate with product stakeholders, apply distributed computing, and mentor the team to improve feature performance using explainability methods. #J-18808-Ljbffr ...

strong plus). Knowledge of institutional encodings (FIX, SBE) and low latency messaging (e.g. Aeron, 29West). Familiarity with fault tolerant, high availability, distributed computing. A right to work in the UK without sponsorship. #J-18808-Ljbffr ...

market data needed to produce the firm's risk. The majority of development is done in Python. The ideal candidate brings deep knowledge of distributed systems and data structures, and can optimize for performance, reliability, and cost.Primary ResponsibilitiesDesign, implement, and support scalable Python based risk engines leveraging position, reference … market data stored in Snowflake databasesOptimize the risk generation process to deliver accurate risk results in the least possible timeOptimize distributed computation using strong data structures and algorithmsReconcile risk results produced by the new Orchestration platform with metrics from legacy internal risk systems to identify and correct trade breaksInvestigate ...

CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI workflows. From evolving distributed architecture to enabling the next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted … full software lifecycle – from design and testing to deployment, operations, and reliability. You’ll contribute to our platform’s evolution to a more distributed architecture, helping make it agentic ready for the next generation of AI applications. In this role, you will: Engineering & Architecture Contribute to the ongoing transition ...

that processes more real-time transactions than almost any system on earth.The vision: We build, scale, and maintain Index Cloud—a multi-tenant, globally distributed compute platform that serves both our exchange workloads and the workloads of every partner in our ecosystem. This is not incremental improvement. … platform APIs that every engineering team at Index Exchange depends on. This is the work that takes Index Cloud to the next level.Solve hard distributed systems problems. Real-time bidding with sub-millisecond overhead. Multi-datacenter consistency. Deploying safely to a fleet of thousands. Load balancing at a scale ...

CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI workflows. From evolving distributed architecture to enabling the next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted … reliability – while mentoring our engineering team. Partnering with senior engineering leadership, you’ll help shape and execute our platform’s evolution to a more distributed architecture, making it agentic ready for the next generation of AI applications. In this role, you will: Technical Leadership & Architecture Drive the ongoing transition ...

patterns, data quality, and schema evolution. Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. … training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you\'ve worked alongside or directly supported ML researchers. Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. Domain knowledge in robotics or embodied ...

customers.Key responsibilitiesDesign, build, and maintain scalable Python libraries and tools used by ML engineers and researchers across Wayve.Develop robust abstractions for data loading, distributed training, inference, checkpointing, and model evaluation workflows.Support training at scale across large GPU clusters and cloud-based infrastructure.Work closely with ML teams to understand user … internal or external users.Strong understanding of testing, observability, maintainability, and engineering best practices.Experience working with cloud environments, ideally Azure.Experience with concurrent, parallel, or distributed computing.Familiarity with ML frameworks such as PyTorch, TensorFlow, or PyTorch Lightning.Ability to work closely with technical stakeholders to refine requirements and deliver practical, scalable solutions. ...

responsibilities Design, build, and maintain scalable Python libraries and tools used by ML engineers and researchers across Wayve. Develop robust abstractions for data loading, distributed training, inference, checkpointing, and model evaluation workflows. Support training at scale across large GPU clusters and cloud-based infrastructure. Work closely with ML teams … external users.Strong understanding of testing, observability, maintainability, and engineering best practices. Experience working with cloud environments, ideally Azure. Experience with concurrent, parallel, or distributed computing. Familiarity with ML frameworks such as PyTorch, TensorFlow, or PyTorch Lightning. Ability to work closely with technical stakeholders to refine requirements and deliver practical ...

Directly lead three Regional SD Leads (Americas, EMEA, APAC) and maintain accountability for the full SD organization. Build a high-performing, engaged, and geographically distributed team; develop regional leaders and successors. Drive talent reviews, performance management, and calibration across the SD function. Champion a culture of accountability, customer focus … significant portion of that time spent in senior leadership — managing global or multi-regional teams at scale. Proven track record leading large, geographically distributed teams across multiple countries and regions. Deep understanding of ITSM frameworks (ITIL) and IT governance practices (COBIT or equivalent). Strong experience managing budgets, headcount ...

Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures … experiment tracking and model lifecycle management tools (MLflow, W&B, DVC, or similar) Solid understanding of containerisation (Docker) and orchestration (Kubernetes or Slurm) for distributed compute workloads Infrastructure-as-code mindset: Terraform, Ansible, or equivalent; CI/CD pipelines (GitHub Actions, Jenkins, or similar) Experience with hardware-accelerated compute ...

with everything from the theoretical, like fair resource scheduling, to the concrete, like optimizing a trader’s new program run-time performance. As a distributed compute engineer in a user-facing environment, you’ll develop and improve on technical solutions that make research as easy and efficient as possible. … competitive benefits package.CultureHudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome ...