1 to 25 of 114 Permanent Distributed Computing Jobs in London

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 … 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 ...

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 Impact Lead the data architecture, design … 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 ...

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 ...

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 ...

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 ...

related technical field. 1 year of experience in a technical leadership role. Experience with hardware/compiler co-design or high-performance computing (HPC). Experience in performance analysis and debugging, improving performance of single-node or multi-node (distributed) systems. Experience in GPU programming using CUDA … 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 … 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 … 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 … 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 ...

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 ...

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 ...

considered for the role, it is essential that you possess exemplary academic prowess, with a 2:1 or 1st in a relevant subject (e.g. Computing Science, Maths, Physics etc.) from a leading University and accompanying demonstrable experience gained working as a Data Engineering professional. It would be highly advantageous … process and manage large volumes of data Experience designing and implementing complex data-matching, reconciliation, and entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices ...

scale analytical platforms supporting high-volume and high-velocity datasets Strong understanding of data architecture principles including dimensional modelling, Data Vault, Lakehouse methodologies, and distributed computing Experience with cloud platforms, preferably AWS, including services such as S3, EMR, Glue, ECS/EKS, Lambda, and related analytics services Experience ...

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 ...

pipeline orchestration . Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. Experience working with large, complex datasets and distributed computing environments. Proficiency in SQL , version control (e.g. Git), and CI/CD pipelines . Familiarity with Agile delivery and DevOps practices (Azure ...

pipeline orchestration. Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. Experience working with large, complex retail datasets and distributed computing environments. Proficiency in SQL, version control (e.g. Git) and CI/CD pipelines. Familiarity with Agile delivery and DevOps practices (Azure DevOps ...

administration concepts. Azure: ADLS Gen2, Azure Data Factory, Key Vault, Functions, Azure Monitor, and broader Azure data services. Spark: Deep understanding of Spark internals, distributed computing principles, optimisation techniques and features, performance tuning. Languages: Advanced Python and SQL development skills; Scala experience beneficial. CI/CD & DevOps: Azure ...

optimize data processing solutions using Python and PySpark.Write complex and high-performing SQL queries for data extraction, transformation, and analysis.Work with large datasets and distributed computing frameworks to support data engineering initiatives.Collaborate with architects, analysts, and business stakeholders to deliver data-driven solutions.Troubleshoot and resolve performance, scalability ...

Software engineering best practices. Data pipeline development. Production machine learning systems. Testing and validation frameworks. API integration and workflow automation. Familiarity with cloud environments, distributed computing frameworks, and modern machine learning ecosystems is advantageous. Desired Characteristics Strong intellectual curiosity. Rigorous analytical thinking. Exceptional problem‐solving abilities. Attention ...

model governance, AI safety, privacy, regulatory compliance, and risk management frameworks. Experience with DevOps, CI/CD, Kubernetes, Infrastructure as Code, containerization, and distributed computing platforms. Contributions to the AI community through publications, patents, conference presentations, research, or open‐source projects. EDUCATION Bachelor's degree or equivalent experience ...

model governance, AI safety, privacy, regulatory compliance, and risk management frameworks. Experience with DevOps, CI/CD, Kubernetes, Infrastructure as Code, containerization, and distributed computing platforms. Contributions to the AI community through publications, patents, conference presentations, research, or open-source projects. EDUCATIONBachelor's degree or equivalent experience ...

Ability to work with ambiguity and own problems end-to-end A passion for writing high quality code and building lean processes Experience with distributed data processing Experience with monitoring, testing, and data quality Experience building robust pipelines from diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints … would be helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Things to note ...