126 to 150 of 262 Distributed Computing Jobs in the UK

teams to integrate pricing models and workflow enhancements within the ACE application. There will be exposure to a wide range of technological frameworks, including distributed computing architecture. The role will involve tasks such as: Developing and maintaining the Counterparty Credit Risk applications, leveraging in-house Python and C++ ...

small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation.Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites.Experience with distributed computing, data sharding, and performance optimization.Hands-on experience with AWS services related to AI deployment and workflow orchestration.Why Join Us? We offer ...

models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands-on experience with AWS services related to AI deployment and workflow orchestration. Why Join ...

automated unit testing.Experience with Terraform development and understanding of Terraform enterprise.Experience in delivering system design, application development, testing, and operational stability.Knowledge of Big Data distributed compute frameworks like Spark, Glue, MapReduce etc.Excellent troubleshooting, analytical, and communication skills.Preferred Qualifications, Capabilities, and Skills:Multi Region disaster recovery setup, monitoring and testing.Experience … Data pipelines using Spark.Exposure to AWS & Databricks Platform administration.Knowledge of containerization (Docker, Kubernetes) and orchestration.Familiarity with distributed systems and large-scale data processing.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. ...

Experience with Terraform development and understanding of Terraform enterprise. Experience in delivering system design, application development, testing, and operational stability. Knowledge of Big Data distributed compute frameworks like Spark, Glue, MapReduce etc. Excellent troubleshooting, analytical, and communication skills. Preferred Qualifications, Capabilities, and Skills: Multi Region disaster recovery setup, monitoring … testing. Experience in Data pipelines using Spark. Exposure to AWS & Databricks Platform administration. Knowledge of containerization (Docker, Kubernetes) and orchestration. Familiarity with distributed systems and large-scale data processing. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

exposure to the Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse).Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats.Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark).Security & Compliance: Direct experience implementing … deploying data infrastructure as code using Terraform, Bicep, and managing deployments via Git/Azure DevOps.Soft SkillsExceptional analytical and root-cause debugging skills for distributed Spark jobs and multi-stage pipelines.Ability to collaborate with compliance and security teams to validate data privacy baselines.Strong communication skills to bridge technical delivery ...

Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse). Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark). Security & Compliance: Direct experience implementing … infrastructure as code using Terraform, Bicep, and managing deployments via Git/Azure DevOps. Soft Skills Exceptional analytical and root-cause debugging skills for distributed Spark jobs and multi-stage pipelines. Ability to collaborate with compliance and security teams to validate data privacy baselines. Strong communication skills to bridge ...

sustainable through advanced automation. About the Role Our client is seeking an Infrastructure Engineer to design and scale the deployment layer of their distributed technology platform. The core challenge involves orchestrating complex, concurrent software applications and analytical workloads across a massive network of diverse, on-premise hardware installations. … execute reliably within strict memory and compute constraints. You will also collaborate directly with their research and engineering teams, building robust testing environments, scaling distributed pipelines, and converting experimental concepts into dependable production software. Key Responsibilities Network Orchestration & System Performance Resource Management: Design runtime isolation, task scheduling, and resource ...

with the Senior Portfolio Manager to turn models into live trading signals. The role also extends to enhancing the pod’s wider research infrastructure: distributed computation, large-scale parameter search, and a streamlined path from research to production.LocationLondonPrincipal ResponsibilitiesDesign, train and productionize large-scale machine learning models across both … learning approaches, applied to high-frequency dataEnhance and optimize the pod’s end-to-end machine learning pipeline, from large-scale data processing and distributed computation to scalable parameter search and validationContribute to improving the speed, scalability, and reliability of the pod’s wider signal development environment, ensuring consistent ...

Motion planning State estimation Behaviour‐based control Solid experience working with Linux, including system‐level debugging and performance tuning Knowledge of real‐time systems, distributed computing, and middleware frameworks Background delivering software in both R&D and production environments Excellent problem‐solving skills with a passion for innovation ...

deep semantic retrieval, and multi‐modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands‐on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings ...

generation, deep semantic retrieval, and multi-modal representation learning.Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP).Desired:Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings ...

deep semantic retrieval, and multi-modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings ...

Experience with Terraform development and understanding of Terraform enterprise. Experience in delivering system design, application development, testing, and operational stability. Knowledge of Big Data distributed compute frameworks like Spark, Glue, MapReduce etc. Excellent troubleshooting, analytical, and communication skills. Preferred Qualifications, Capabilities, and Skills Multi Region disaster recovery setup, monitoring … testing. Experience in Data pipelines using Spark. Exposure to AWS & Databricks Platform administration. Knowledge of containerization (Docker, Kubernetes) and orchestration. Familiarity with distributed systems and large‐scale data processing. #J-18808-Ljbffr ...

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 … 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. #J-18808-Ljbffr ...

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 … 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. #J-18808-Ljbffr ...

Software Developer – High-Performance I/O & Storage Systems** to design, build, and improve services that enable efficient data access and storage across distributed environments.This role focuses on developing high-performance backend services and APIs that integrate closely with performance-critical applications, ensuring efficient data handling, scalability, and reliability … across the full data path.**About The Team**You will join a team focused on building high-performance data systems that support distributed computing and data-intensive workloads.The team works across backend services, storage systems, and client integration layers to deliver scalable and efficient data access solutions. ...

implement training methods for enhanced capabilities like instruction following and tool use Design and optimize data pipelines and training systems for large-scale distributed training Collaborate with cross-functional teams to integrate models into agentic AI systems Evaluate model performance and communicate findings to stakeholders Stay current with advancements … fields About you: You have a strong research engineer/scientist mindset with experience training and improving large language models at different scales in distributed computing settings whether that’s modelling, data collection, experimenting and ablating, implementing SOTA. Technical skills: You have strong programming skills in Python , Rust ...

next-generation AI architecture behaves from rack scale to data centre scale. As a Senior Systems Engineer, you will investigate a novel AI computing architecture under demanding real-world workloads. You will work on problems where answers aren't readily known, turning curiosity into measurable evidence. You will design … initiative, questions assumptions and enjoys working in areas where the answers are not yet known. The team and culture The System QA team is distributed across multiple locations. We work hard to stay connected and collaborate closely. Our daily team meetings feel more like a virtual coffee break than ...

next-generation AI architecture behaves from rack scale to data centre scale. As a Senior Systems Engineer, you will investigate a novel AI computing architecture under demanding real-world workloads. You will work on problems where answers aren't readily known, turning curiosity into measurable evidence. You will design … initiative, questions assumptions and enjoys working in areas where the answers are not yet known. The team and culture The System QA team is distributed across multiple locations. We work hard to stay connected and collaborate closely. Our daily team meetings feel more like a virtual coffee break than ...

practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. 3 years of experience testing, maintaining, or launching software products … massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes ...

Amazon in London is seeking a Business Intelligence Engineer to drive data & analytics across large datasets and distributed computing environments. You will model data, design ETL, and build BI solutions using Redshift, Oracle, and NoSQL while leveraging Tableau/Quicksight and other tools. The role emphasizes AI-enabled ...

models, representation learning, or foundation models. Strong understanding of modern deep learning architectures, particularly Transformers and large-scale representation learning techniques. Experience working with distributed computing environments, large datasets, and scalable training or inference systems. Knowledge of cloud platforms and modern MLOps practices. Excellent communication skills with ...

considering business and technology risks in an integrated manner. Knowledge of system development life cycle concepts with an ability to quickly learn a complex, distributed computing environment. Excellent verbal and written communication skills. Also, good interpersonal skills with the ability to present complex and sensitive issues to senior ...

considering business and technology risks in an integrated manner.Knowledge of system development life cycle concepts with an ability to quickly learn a complex, distributed computing environment.Excellent verbal and written communication skills. Also, good interpersonal skills with the ability to present complex and sensitive issues to senior management ...