26 to 50 of 51 Distributed Computing Jobs in the UK

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. ...

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. ...

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. ...

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. ...

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 ...

capabilities clearly to non-technical stakeholders and client teams. What We're Looking For Technical Background: An academic degree in a quantitative field (eg, Computing, Mathematics, Physics) or equivalent commercial engineering experience. Python Development: Strong programming capabilities with a focus on writing maintainable, reusable, and thoroughly verified codebases. Infrastructure … clearance required. Travel to client locations is expected. Highly Desirable Background working on public sector, aerospace, or similarly regulated engineering projects. Familiarity with distributed computing and messaging services (such as Spark or Kafka). Experience developing APIs and rapid internal interfaces (such as FastAPI, Flask, Streamlit, or Gradio ...

capabilities clearly to non-technical stakeholders and client teams. What We're Looking For Technical Background: An academic degree in a quantitative field (eg, Computing, Mathematics, Physics) or equivalent commercial engineering experience. Python Development: Strong programming capabilities with a focus on writing maintainable, reusable, and thoroughly verified codebases. Infrastructure … clearance required. Travel to client locations is expected. Highly Desirable Background working on public sector, aerospace, or similarly regulated engineering projects. Familiarity with distributed computing and messaging services (such as Spark or Kafka). Experience developing APIs and rapid internal interfaces (such as FastAPI, Flask, Streamlit, or Gradio ...

best practices Numerical methods (Monte Carlo, PDEs, stochastic calculus) Data structures, algorithms, and performance optimisation Familiarity with: Quant libraries (e.g., QuantLib) Cloud platforms or distributed computing (nice to have) Version control tools (Git) Preferred Domain Expertise One or more asset classes: Equities Fixed Income FX Commodities Credit derivatives ...

best practices Numerical methods (Monte Carlo, PDEs, stochastic calculus) Data structures, algorithms, and performance optimisation Familiarity with: Quant libraries (e.g., QuantLib) Cloud platforms or distributed computing (nice to have) Version control tools (Git) Preferred Domain Expertise One or more asset classes: Equities Fixed Income FX Commodities Credit derivatives ...

best practices Numerical methods (Monte Carlo, PDEs, stochastic calculus) Data structures, algorithms, and performance optimisation Familiarity with: Quant libraries (e.g., QuantLib) Cloud platforms or distributed computing (nice to have) Version control tools (Git) 📊 Preferred Domain Expertise One or more asset classes: Equities Fixed Income FX Commodities Credit derivatives ...

best practices Numerical methods (Monte Carlo, PDEs, stochastic calculus) Data structures, algorithms, and performance optimisation Familiarity with: Quant libraries (e.g., QuantLib) Cloud platforms or distributed computing (nice to have) Version control tools (Git) 📊 Preferred Domain Expertise One or more asset classes: Equities Fixed Income FX Commodities Credit derivatives ...

cloud, or software to enterprise accounts preferred Deep understanding of the architecture, design and implementation of multi‐tiered client/server and web‐based computing solutions Prior experience in targeting new prospects and converting them into clients Contribute significant portions and/or lead responses to RFPs, RFQs … RFIs Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN) Linux, NFS file systems and Linux distributed network environment Familiarity with AWS, Azure, GCP a plus Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache ...

experience with Python, R or SQL Proven experience with machine learning algorithms and data science methodologies Familiarity with cloud platforms, big data technologies and distributed computing Experience with data visualisation tools such as Power BI or Tableau is a plus Strong communication skills with the ability to present ...

experience with Python, R or SQL Proven experience with machine learning algorithms and data science methodologies Familiarity with cloud platforms, big data technologies and distributed computing Experience with data visualisation tools such as Power BI or Tableau is a plus Strong communication skills with the ability to present ...

experience with Python, R or SQL Proven experience with machine learning algorithms and data science methodologies Familiarity with cloud platforms, big data technologies and distributed computing Experience with data visualisation tools such as Power BI or Tableau is a plus Strong communication skills with the ability to present ...

experience with Python, R or SQL Proven experience with machine learning algorithms and data science methodologies Familiarity with cloud platforms, big data technologies and distributed computing Experience with data visualisation tools such as Power BI or Tableau is a plus Strong communication skills with the ability to present ...

operate at the frontier of applied AI research. You should be as comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly … users). Production Engineering: You are an engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. The Full ML Lifecycle: Expertise ...

model development, training, and deployment. Act as a mentor, coach, and sponsor – You will share your technical, leadership and managerial skills in MLOps, distributed computing, and infrastructure engineering, delivering impact, learning, and growth across teams at Recursion. We believe that the best work comes from working across organizational … Will Need: Experience in a hands‐on technical role as a tech lead or a manager with a focus on infrastructure, MLOps and distributed systems. Excitement for deeply engaging in technical details with your team around machine learning, orchestration and agentic systems. A people‐first mindset. We deliver ...

Designing market data infrastructure * Historical time series management * VaR and stress testing data solutions * AWS cloud engineering * Risk analytics and pricing infrastructure * Large scale distributed computing Required experience: * Strong Python development * SQL and Snowflake expertise * Market Risk knowledge * Experience working with market data * AWS or cloud infrastructure experience ...

stack for the LLM era. As AI transitions from experimental to "agentic" and "AI-native" infrastructure, we are building the super-node clusters and distributed architectures that will power the next generation of global data centres. This is a unique hybrid role positioned at the intersection of academic-grade …/NPU clusters at a massive scale. The Technical Challenge ️ As a Systems Research Engineer, you will tackle the "bottleneck" problems of modern AI: Distributed Systems R&D: Architecting components for CPU, GPU, and NPU clusters with a focus on modularity and extreme scalability. Performance Engineering: In-depth profiling ...

stack for the LLM era. As AI transitions from experimental to "agentic" and "AI-native" infrastructure, we are building the super-node clusters and distributed architectures that will power the next generation of global data centres. This is a unique hybrid role positioned at the intersection of academic-grade …/NPU clusters at a massive scale. The Technical Challenge 🛠️ As a Systems Research Engineer, you will tackle the "bottleneck" problems of modern AI: Distributed Systems R&D: Architecting components for CPU, GPU, and NPU clusters with a focus on modularity and extreme scalability. Performance Engineering: In-depth profiling ...

understanding of AI fundamentals and practical experience with data analysis and experimental design Recent hands-on experience training, deploying models and pipelines Familiarity with distributed computing patterns for training, serving, persistence of state Experience in building and leading high-performing AI teams Exceptional verbal and written communication skills ...