16 of 16 Permanent Distributed Computing Jobs in the UK excluding London

design and optimise some of the most demanding computational systems. This role is focused on solving difficult engineering problems at scale, working with advanced computing infrastructure, distributed systems and performance-critical workloads. We are seeking someone with outstanding technical ability who enjoys understanding systems deeply, from hardware … systems through to software optimisation and large-scale computation. About the Role You will work on the design, optimisation and operation of high-performance computing environments. You will be responsible for improving computational efficiency, building reliable infrastructure and solving complex challenges involving large-scale workloads. This is a highly ...

Engineer (AWS, Python, C#/C++, CFD/FEA) Oxford - 3-4 days per week in office. £45000 - £68000 + 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 ...

effective AI solutions Desirable Generative AI experience Large Language Models (LLMs) LangChain or similar frameworks Spark, Hadoop or other big data technologies Experience with distributed computing, streaming platforms or workflow orchestration tools Experience monitoring and optimising model performance in production environments Apply Now If you want to work ...

team technical initiatives and influence organisational direction through technical authority. Evaluate and integrate emerging approaches including generative AI, Agentic AI, advanced optimisation, and scientific computing into scalable solutions. Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities. Mentor senior engineers and data scientists … prototyping, productionizing, and scaling complex ML systems in production environments. Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing with a consistent record of applying these to deliver production-grade products. Strong software engineering and system design expertise, including distributed systems, scalable ...

documents. Quickly understand complex systems/code and own key pieces of the system, including delivered quality. Diagnose and troubleshoot complex problems in a distributed computing environment. Establish the best practices in quality, performance & architecture within the team. Mentor Software Engineers & Senior Software Engineers and provide technical leadership. … Platform. About You Desire to build products that solve complex technical problems for end users. 7‐11 years experience developing highly scalable distributed applications, products, and services in Java and Golang. Design and develop REST, gRPC, and GraphQL APIs. Working knowledge of SQL and No‐SQL database technologies. Solid ...

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 ...

field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest ...

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 ...

platform technologies to drive continuous improvement and innovation. Technical Expertise Recognised expert in Data Architecture, Data Modelling, Engineering, and data platform design. Experience utilising distributed and non‐distributed compute architectures with strong proficiency in Python, SQL, Spark, and Scala. Experience architecting CI/CD frameworks (Azure DevOps, GitHub ...

Technology, Sportsbook Product&Trading, People, Property, Corporate Communications and Strategic Partnerships&Transformation. We are seeking a Principal Data Solution Architect to design and deliver distributed data platforms that power Flutter’s applications across Gaming and Sportsbook. The role is focused on execution and solutions delivery – building scalable, high‐performance … data platforms that enable real‐time and batch data processing at scale. Responsibilities Drive platform capability improvements – continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best‐in‐class capabilities. Enable application data consumption – understand how applications produce and consume ...

latency, zero-GC environment. Knowledge of institutional encodings and messaging protocols (e.g., FIX, SBE, Aeron, 29West). Experience with fault-tolerant, high-availability distributed computing. Familiarity with Docker, Kubernetes, or AWS. Prior knowledge or a keen interest in cryptocurrency/digital assets. What's On Offer: Highly competitive base ...

software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with ...

software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with ...

have experience with pipeline development, architecture and deployment. Key Responsibilities Recognised expert in Data Architecture, Data Modelling, Engineering, and data platform design. Experience utilising distributed and non-distributed compute architectures with strong proficiency in Python, SQL, Spark, and Scala. Experience architecting CI/CD frameworks with real-world ...

have experience with pipeline development, architecture and deployment. Key Responsibilities Recognised expert in Data Architecture, Data Modelling, Engineering, and data platform design. Experience utilising distributed and non-distributed compute architectures with strong proficiency in Python, SQL, Spark, and Scala. Experience architecting CI/CD frameworks with real-world ...

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 ...