18 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 »

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 »

inference of these models. You will develop the core inference engine to seamlessly deploy large machine learning models to customers at scale and across distributed systems, contributing significantly to the automated pipeline, optimizing for high throughput training runs and rapid experimentation while achieving top hardware efficiency.Please note that this … of professional experience in a similar capacity.Qualifications:We are seeking candidates with exceptional ML engineering evidenced by:Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch.Proficiency in efficient serving of large machine learning models at scale, including quantization and distributed computing … early engineer at a fast-growing startup.Interest in and consideration of the impacts of AI technology.Key Words: Machine Learning/PyTorch/High Performance Computing/HPC/GPU/TPU/Deepspeed/AI/OpenAI/Distributed Systems/Big Data/ETL Pipeline/CUDA more »

PyTorch, scikit-learn, and Spark.Solid understanding of statistical analysis, data mining, and predictive modeling techniques.Experience with big data technologies such as Hadoop, Spark, and distributed computing frameworks.What is in it for you?Significant Bonus Package. Flexible working for work/life balance.Private healthcare package.Significant pension contribution package.Choice of more »

Futures and FXYou have a strong knowledge of Linux OS/Systems AdministrationYou have a good understanding of computer architecture, databases, real-time systems, distributed computing, OOP, Data Structures, Design Patterns, AlgorithmsYou're collaborative with excellent English language communication skillsYou are degree educated, likely to MSc/PhD 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 »

professional experience in a similar capacity.Responsibilities:Develop the core inference engine used to serve large machine learning models to customers at scale and across distributed systems.Contribute significantly to the internal automated pipeline enabling high throughput training runs and rapid experimentation achieving top hardware efficiency optimisation.Collaborate in defining and steering … bar of excellence that propels us forward.Qualifications:We are seeking candidates with exceptional ML engineering evidenced by:Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch.Proficiency in efficient serving of large machine learning models at scale, including quantization and distributed computing … through LinkedIn, or send your CV to george@eu-recruit.comKey Words: Machine Learning/LLM/Large Language Model/PyTorch/High Performance Computing/HPC/GPU/TPU/Deepspeed/AI/OpenAI/Distributed SystemsBy applying to this role, you understand that we more »

models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. Why Join: Drive AI innovation at a leading SaaS provider. Work with a dynamic, forward-thinking team. Engage in more »

models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. Why Join: Drive AI innovation at a leading SaaS provider. Work with a dynamic, forward-thinking team. Engage in 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 »

a Machine Learning Infrastructure Engineer to join their founding team.They are looking for people with skills directly linked to creating and managing high-performance computing (HPC) clusters across GPU/TPU chips + serving large machine learning models at scale. Not 1-10 GPU's but 1000's. You … with researchers, founders and advisors to develop the next generation of high availability LLM’s.ML engineering experience:Experienced in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch.Proficient in efficient serving of large machine learning models at scale, including quantisation and distributed computing more »

using C++ (14/17/20) and developing low latency code.Bachelor's degree in a Quantitative Field; maths, statistics, computer science, etcExperience with Distributed Computing, Platform Development, Networking, and System Design.Exceptional analytical and quantitative skills BENEFITSCompetitive base salary between £140,000 and £200,000Bonus based on team 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 »

learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They are adding extensive usage of distributed compute on Spark, starting with their more complex ETL and advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches … including native distributed PyTorch/Tensorflow, Spark-based distributor libraries, or Horovod.TECH STACK:Python, Flask, Redis, Postgres, React, Plotly, Docker. Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight.KEY RESPONSIBILITIESLead the productionisation of Monolith’s ML models and data processing pipelines, both … senior leadersLaser focused on identifying and progressing on critical path, both individually and as a teamNICE TO HAVESDistributed machine learning (Spark distributors, Horovod, native distributed on PyTorch or Tensorflow)Productionisation experience on multiple cloudsFamiliarity with MLOps principles and practices, and their application in a production settingCOMPENSATION/BENEFITS:£100k 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 »