1 to 25 of 231 Distributed Computing Jobs in England

Solution Architect will lead the development of architectures spanning modelling and simulation, synthetic environments, exercise support systems, operational CIS, data exploitation platforms, networking, distributed edge computing, and training management systems. Working across a diverse ecosystem of Defence customers, technology providers, simulation partners, and engineering teams, the Solution Architect … delivering realistic, scalable, and operationally relevant Tier 3 and Tier 4 collective training exercises. The role combines solution architecture, systems integration, simulation architecture, networking, distributed computing, Secure by Design principles, and requirements engineering to deliver measurable training outcomes and operational readiness. Key Responsibilities: Architecture & Solution Design Design secure ...

hays.comSoftware Engineer (AWS, Python, C#/C++, CFD/FEA)Oxford – 3-4 days per week in office.45000 - 75000 + Package.- Must have a Computing/STEM Degree (2:1 or higher).- Can work in their Oxford head office 3-4 days week.- Must have experience with …/Distributed Computing and Applied/Mechanical EngineeringYour new company You’ll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining how high ...

Engineer (AWS, Python, C#/C++, CFD/FEA) Oxford - 3-4 days per week in office. £45000 - £75000 + Package. - Must have a Computing/STEM Degree (2:1 or higher). - Can work in their Oxford head office 3-4 days week. - Must have experience with …/Distributed Computing and Applied/Mechanical Engineering Your new company You'll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining ...

leverage vast datasets in their planning workflows and forms the bedrock for our advanced analytics and AI initiatives. You'll need deep knowledge of distributed computing, data architecture, and strong software engineering skills to tackle complex, high-scale data challenges.Your ImpactLead the data architecture, design, and deployment …/ELT pipelines, API services, and data ingestion frameworks.Design and build the storage and processing layers powering our analytics workloads: data lakes, data warehouses, distributed file systems, and real-time streaming architectures.Engineer feature-rich context pipelines that process large-scale enterprise data, balancing batch and streaming patterns seamlessly.Optimise ...

while mentoring engineers and promoting operational excellence across AI and platform teams.Skills & ExperienceSignificant experience designing, building, and operating large-scale AI, machine learning, or distributed computing platforms in enterprise environments.Deep understanding of LLM architectures and their interaction with GPU infrastructure, including CUDA, cuDNN, NCCL, kernel-level acceleration libraries … distributed training frameworks such as PyTorch.Strong knowledge of distributed training and inference strategies, including tensor, pipeline, data, and expert parallelism approaches.Experience optimising LLM inference workloads using technologies such as vLLM, TensorRT-LLM, NVIDIA NIM, SGLang, or similar high-performance serving frameworks.Expertise in model optimisation techniques including quantisation, mixed ...

engineers and promoting operational excellence across AI and platform teams. Skills & Experience Significant experience designing, building, and operating large-scale AI, machine learning, or distributed computing platforms in enterprise environments. Deep understanding of LLM architectures and their interaction with GPU infrastructure, including CUDA, cuDNN, NCCL, kernel-level acceleration … libraries, and distributed training frameworks such as PyTorch. Strong knowledge of distributed training and inference strategies, including tensor, pipeline, data, and expert parallelism approaches. Experience optimising LLM inference workloads using technologies such as vLLM, TensorRT-LLM, NVIDIA NIM, SGLang, or similar high-performance serving frameworks. Expertise in model ...

business problems, Responsible for development of key components of a hybrid on-prem/cloud compute platform for both interactive and scalable batch computing and establishing of processes and workflows to transition existing HPC users and teams to this platform, Responsible for code-driven environment, applications, and container/… software engineering, algorithms, and underlying hardware infrastructure and their impact on performance., Confidently optimizes design and execution of complex solutions within large-scale distributed computing environments, Produces well-engineered software, including appropriate automated test suites, technical documentation, and operational strategy, Ensure consistent application of platform abstractions to ensure ...

strategy work, sitting shoulder-to-shoulder with top-tier quant researchers as your understanding of the business deepens. What You'll Be Doing : Architecting distributed Python systems that handle exabyte-scale market data with real reliability and speed Building the tooling, pipelines and platforms that let quant researchers move … faster and dig up new alpha Tackling hard problems in distributed computing, storage, parallelisation and high-performance data engineering Working directly with quants and traders to turn research ideas into production-grade systems Relentlessly tuning latency, throughput and efficiency across the stack Owning major platform components ...

workflows that solve key business problems Develop key components of a hybrid on-prem/cloud compute platform for interactive and scalable batch computing Establish processes and workflows to transition existing HPC users and teams to the platform Build code-driven environments, applications, and containers/images Deploy applications …/CD Consult science users on application scalability to PBs of data Optimize the design and execution of complex solutions in large-scale distributed computing environments Produce well-engineered software with automated test suites, technical documentation, and operational strategies Ensure consistent use of platform abstractions for logging ...

filing and auditing. Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming Well versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks ...

Counterparty Credit Risk, PFE analytics, derivatives pricing, and cloud-based risk systems. You will be responsible for driving the technology roadmap, leading globally distributed teams, and delivering innovative solutions that support evolving business and regulatory requirements. This is a highly visible leadership position offering the opportunity to shape … scale technology transformation programmes. Key Responsibilities Define and own the strategic architecture and roadmap for the Credit Risk Analytics platform. Lead and manage globally distributed teams across onshore, nearshore, and offshore locations. Deliver complex risk technology programmes, ensuring successful execution against budget, timelines, and objectives. Act as the senior ...

automatic bug filing and auditing. Considerable experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed ...

filing and auditing. Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming Hands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks ...

filing and auditing. Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming Well versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks ...

working closely with portfolio management to turn research into live trading signals. You'll develop and optimise classical and deep learning models, improve distributed computing and large-scale parameter searches, and build efficient workflows from research through to production. We're looking for someone with 3+ years' experience … software engineering, quantitative development or a similar computational role, with strong Python skills and experience working with large, complex datasets. Experience with distributed computing and Linux is important, while C++ would be a strong advantage. This is the a unique chance to deploy ML models into systematic trading ...

working closely with portfolio management to turn research into live trading signals. You'll develop and optimise classical and deep learning models, improve distributed computing and large-scale parameter searches, and build efficient workflows from research through to production. We're looking for someone with 3+ years' experience … software engineering, quantitative development or a similar computational role, with strong Python skills and experience working with large, complex datasets. Experience with distributed computing and Linux is important, while C++ would be a strong advantage. This is the a unique chance to deploy ML models into systematic trading ...

massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes … massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes ...

involve you to:Collaborate with client stakeholders and internal teams to understand business requirements and translate them into robust AI solutions.Coordinate with distributed delivery teams across Deloitte’s wider network, helping to align delivery plans, technical outputs and client expectations.Design, develop, and implement end-to-end AI pipelines, including … learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation and analysis using SQL and big data technologies ...

learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation and analysis using SQL and big data technologies … processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout the development lifecycle, including metadata management, data quality, and lineage tracking.Distributed Computing: Knowledge of distributed computing techniques like parallel processing, streaming, and batch workflow orchestration.Connect to your business - Technology and TransformationDistinctive thinking, deep expertise, innovation ...

generative AI applications.Familiarity with web development technologies, such as HTML, CSS, JavaScript, and React.Proficiency in database management systems and SQL.Experience developing ETL pipelines using distributed computing and parallel processing frameworks, such as Spark.Knowledge of Data Architecture & Data Modelling techniques.Experience working with modern data & AI platforms such as Databricks ...

statistical analysis, or 6 years of work experience with a PhD degree. Experience in software development and source control methodologies. Experience working with cloud computing or distributed computing environments. Demonstrated ability to build investigative tools and data pipelines for infrastructure integration. Proven track record of influencing engineering ...

product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.Experience in software development and source control methodologies.Experience working with cloud computing or distributed computing environments.Demonstrated ability to build investigative tools and data pipelines for infrastructure integration.Proven track record of influencing engineering priorities ...

business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Experience in software development and source control methodologies. Experience working with cloud computing or distributed computing environments. Demonstrated ability to build investigative tools and data pipelines for infrastructure integration. Proven track record of influencing engineering ...

Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes ...

Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes ...