17 Distributed Computing Jobs in the UK excluding London

be the best data engineers in the world. Profile The Data Solutions Architect specialises in designing and implementing large-scale data processing solutions using distributed computing frameworks, AWS native components, and AWS cloud platforms. The are comfortable designing and constructing bespoke solutions and components from scratch to solve … in other settings will always be considered. Key responsibilities of the role are summarised below Design and implement large-scale data processing systems using distributed computing frameworks such as Apache Kafka and Apache Spark. Architect cloud-based solutions capable of handling petabytes of data. Lead the automation of … data technologies and cloud platforms, with demonstrable experience on large scale projects. Deep expertise in Java, and Scala, and software engineering. Strong background in distributed computing frameworks, and scaled processing. Excellent communication and teamwork skills. Ability to communicate and inspire large teams. more »

Database Researcher - Database Management - Distributed Systems - AI - Distributed Databases - PhD - Computer Science My client who are leaders in their field are looking for Database Researchers to join their team which will involve empirical computer science research, working on programming languages, compilers, knowledge graphs, positioning and navigation, and (cloud … systems infrastructure. You will work in various areas including but not limited to data systems, AI, cloud computing, hardware acceleration, and networking/telecommunications. Key Responsibilities: Perform systems research and empirical science on current and future data management and processing systems. Analyse and understand requirements for the next generation … areas: transactional and/or analytical database management systems, query processing and optimisation, storage engines, indexing engines, concurrent/parallel algorithms and data structures, distributed computing, parallel programming frameworks, benchmarking and performance analysis, graph theory and graph algorithm design, programming/query languages, hardware-software co-design The more »

agile data warehousing systems on the Azure platform, utilising data lakes, Databricks, and Synapse Analytics. Enhance data workflows for large datasets using Databricks, exploiting distributed computing capabilities and coding adaptability. Establish streamlined CI/CD pipelines for release management and contribute to setting team-wide standards, best practices more »

PyTorch, JAX, Keras, Tensorflow) Strong theoretical understanding of machine learning and neural networks Experience with containerized processes (Docker, Kubernetes) Familiarity with cloud services and distributed computing frameworks (AWS, PySpark, Ray Distributed) Problem-solving aptitude and creative thinking skills Benefits : Work From Home flexibility Employee Assistance Programme Stock more »

Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in … Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline The position is based close to Manchester. The salary for this position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details. more »

Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD … in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based close to Manchester. The salary for this Big Data Scientist position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along more »

/Monthly Responsibilities Build and run responsibilities for GenAI ensuring robust support folding into standard incident processes as the products mature. Help work with distributed teams across the business on how to consume AI/ML capabilities. Hands on code, build, govern and maintain . Working as part of … Azure Machine Learning or GCP Cloud ML Engine , Azure Data Lake , Azure Databricks or GCP Cloud Dataproc . Familiarity with big data technologies and distributed computing frameworks, such as Hadoop, Spark, or Apache Flink. Experience scaling an “API-Ecosystem ”, designing, and implementing “API-First” integration patterns. Experience working more »

version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to more »

version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to more »

s global R&D activity, conducts research and innovation – achieving together whilst supporting our employees. We are currently looking for a researcher in our Computing Research Group, working on exploring how the use High Performance Computing to accelerate applications at the intersection of Artificial Intelligence and Genomics. Your … role will involve: Analyzing and profiling code to find hotspots Using parallel and distributed computing techniques to accelerate algorithms, in particular those dealing with large scale graph computations Optimization for heterogeneous (CPU + GPU) architectures or for Fujitsu’s Arm-based A64FX processor Your experience To be suitable … approach, adaptable and able to demonstrate that you have: A PhD or similar Post-Graduate qualification in a relevant field Experience with High Performance Computing techniques such as MPI, OpenMP, Intel TBB etc High proficiency in one or more programming languages A track record of writing academic publications Excellent more »

ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience implementing cutting-edge NLP research and working with large datasets and distributed computing frameworks Familiarity with Azure, AWS, or GCP Startup Mindset: To thrive in our environment, you should be proactive, adaptable to change, and more »

and warehousing principles that underpin most data platforms. Ability to ingest, transform, integrate data from diverse sources into well-structured information assets. Knowledge of distributed computing techniques like parallel processing, streaming, batch workflow orchestration that enable handling large data volumes. Experience with ETL, data pipelines, and building automated … high-performance data solutions. Data modeling, warehouse design, database optimization knowledge - with samples of logical/physical models that reflect proficiency. Deploying, and managing distributed data systems. Ability to monitor, troubleshoot, and tune these systems for reliability and performance. Coding experience that demonstrates modularity, reusability, and efficiency - across languages. more »

with ML Ops and DevOps practices. An awareness of programming languages such as Python and C#. Experience with Big Data technologies, ETL processes, and distributed computing frameworks like Kubernetes. Responsibilities: Shape the strategic direction of AI implementation across 30+ initiatives. Drive AI adoption on internal services. Develop technical more »

areas: transactional and/or analytical database management systems, query processing and optimisation, storage engines, indexing engines, concurrent/parallel algorithms and data structures, distributed computing, parallel programming frameworks, benchmarking and performance analysis, graph theory and graph algorithm design, programming/query languages, computer architecture, vectorised processing, operating … design. Have participated in the implementation of (aspects of) a database management system or systems of a similar low-level nature (e.g., operating systems, distributed workflow systems, compilers). Have published papers at top peer-reviewed conferences or journals in fields related to the above (desired but not essential more »

more of STP/OMS/Market Connectivity/Messaging/Risk/Pricing Knowledge of institutional encodings (FIX, SBE) Fault tolerant, high availability, distributed computing Knowledge of low latency messaging (e.g. Aeron, 29West) Docker/Kubernetes/AWS more »

higher in computer science or other related engineering fields Plusses: • Experience with React • Experience with MongoDB • Experience working on streaming technologies like Kaftka and distributed technologies like Apache Ignite • Experience working on AWS, GCP, Kubernetes, IaC • Experience working with C# • Financial industry experience • Experience with cloud like AWS, GCP … and data engineers across the firm in delivering data platforms and pipelines for the loans team. The build of this platform would be using distributed compute, distributed micro-services, multi-threating and multi-processing. The candidate will be expected to be heavily hands on coding on a daily more »

trying to improve its workflow, and we are not afraid of investing in new ideas. If you like to design, develop, and deploy resilient distributed systems you will fit right in. You will have the chance to work on established projects, kickstart new ones, and make a case for … tools. Experience of cloud-based services (AWS, Google Cloud). Experience of user interface and experience design. Experience with microservices architecture Knowledge of serverless computing architectures Knowledge of CI/CD workflows. Knowledge of issue/project tracking software, e.g. Jira Knowledge of container and orchestration technologies (e.g. Docker … Kubernetes, LXC) Other technologies associated with multi-tier architectures, and distributed computing. E.g. Redis, RabbitMQ, Prometheus, Apache Kafka, ELK, load balancers, ... What is in it for me? Ipsos UK offer an attractive basic salary and a rewards package including 25 days annual leave, a pension scheme and a more »