1 to 25 of 51 Distributed Computing Jobs in the UK excluding London

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 ...

Software Engineer (AWS, Python, C#/C++, CFD/FEA) Oxford - 3 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 days week. - Must have experience with AWS/… 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 how high ...

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 ...

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 ...

team. Component Design: Design scalable application components, microservices, and data integration layers to support high-throughput regulatory reporting. Big Data Processing: Develop and optimize distributed data processing jobs using Apache Spark, Hadoop, and Hive to aggregate and transform large-scale financial datasets. Real-Time Streaming: Build and maintain real … experience building microservices and RESTful APIs using Spring Boot , Spring Cloud, Spring Data, and Spring Security. Big Data Technologies: Strong, hands-on experience with distributed computing frameworks, specifically Apache Spark , Hadoop , and Hive . Proven ability to write and optimize complex Spark jobs. Real-Time Streaming: Practical experience ...

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 ...

Strong analytical and problem-solving capabilities Self-motivated with a strong desire to learn and develop Experience in Some or All of the Following Distributed computing technologies such as Spark and Databricks Cloud platforms including AWS, Azure, or GCP Workflow orchestration tools such as Airflow CI/ ...

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 ...

models from prototype to production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real-world business applications. Proven experience working with large datasets and distributed compute (Spark/Databricks or equivalent), with SQL fluency and an understanding of partitioning, performance, and cost. Hands-on experience using enterprise-authorized ...

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 ...

business-specific use cases. Collaborate with engineering teams to transition research outputs into production-ready systems. Define AI system architectures leveraging cloud-native and distributed computing environments. Provide technical leadership and mentorship to AI engineers and researchers. Stay current with the latest academic and industry advancements … Google Cloud Platform. Containerisation using Docker. Orchestration using Kubernetes and/or Azure Kubernetes Service (AKS). Experience designing microservices-based and distributed architectures. Research & Innovation Capabilities Expertise in experiment design and scientific evaluation methodologies. Ability to rapidly prototype, test, and validate AI concepts. Strong analytical and problem-solving ...

expertise in writing complex Python scripts, with a particular focus on building and optimizing multi-threaded, multi-process, concurrent, and asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus. Good to have experience in designing and developing AI-powered solutions using ...

applications including RAG-based systems, summarization/extraction pipelines, chat/coplay experiences, and tool-using agents. Proven experience working with large datasets and distributed compute (Spark/Databricks or equivalent), with SQL fluency and an understanding of partitioning, performance, and cost. Hands-on experience using enterprise-authorized ...

world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. At Cadence, we hire and develop leaders and innovators who want to make an impact … motorsport, electric vehicle, and renewable energy companies worldwide. As a Lead Software Engineer, you will work at the intersection of mathematical modelling, high-performance computing, and software engineering to create advanced simulation solutions for complex multi-physics systems. You will help design cutting-edge numerical solvers, GPU-accelerated computing ...

business-specific use cases. Collaborate with engineering teams to transition research outputs into production-ready systems. Define AI system architectures leveraging cloud-native and distributed computing environments. Provide technical leadership and mentorship to AI engineers and researchers. Stay current with the latest academic and industry advancements … Knowledge of software engineering best practices and MLOps workflows. Experience with Microsoft Azure (preferred), AWS, or Google Cloud Platform. Experience designing microservices-based and distributed architectures. Expertise in experiment design and scientific evaluation methodologies. Ability to rapidly prototype, test, and validate AI concepts. Strong analytical and problem-solving skills. ...

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, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems ...

Requirements 5+ years of experience in delivery multi-tier, highly scalable, distributed web application Deep understanding in software architecture, object-oriented design principles, and data structures Extensive experience in developing microservices using Java, Python Good experience in Test driven development and automating test cases using Java/Python Experience … offs based on business needs, entrepreneurial spirit Excellent verbal and written communication skills BS or MS degree in Computer Science or equivalent Experience in distributed computing frameworks like Hive/Hadoop, Apache Spark Experience in developing Finance or HR related applications Experience with following cloud services: AWS Elastic ...

Mathematics, Engineering, Physics or a related discipline from a Russell Group university. Desirable Experience Spark and/or Databricks. Airflow or similar orchestration tools. Distributed computing and large-scale data processing. Defence or National Security experience. Essential Requirements UK national and eligible to obtain UK SC-level Security ...

maintain AI‐enabled software solutions using languages such as Python, Java, R, and C++, applying strong software engineering principles, clean coding practices, API design, distributed computing, UNIX tooling, and scalable system design. Machine Learning and AI Fundamentals – Solid knowledge of supervised and unsupervised learning, neural networks, model evaluation ...

data science environments. Strong skills in SQL and Python. Experience with large-scale data solutions on Microsoft Azure and Databricks. Experience with Spark or distributed compute frameworks. Proven experience in building and maintaining data pipelines and warehousing solutions. Knowledge of dimensional modeling is preferred. It would be great ...

Code, paired with strong SDLC controls. Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. #J-18808-Ljbffr ...

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 ...

scaling KDB+ solutions. Strong knowledge of market data, trading systems, or real-time analytics. Experience with data pipelines, cloud-based KDB+ deployments, and distributed computing. Ability to lead projects, optimize system architecture, and mentor junior developers. Preferred Qualifications (for all levels): Experience with high-frequency trading, quantitative finance ...