22 of 22 Parallel Processing Jobs in the UK

scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating … data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data ...

wider network, helping to align delivery plans, technical outputs and client expectations.Design, develop, and implement end-to-end AI pipelines, including data acquisition, pre-processing, feature engineering, model training, evaluation, and deployment.Develop and implement AI/machine learning models where appropriate, supporting use cases such as prediction, classification, automation … analytics, reporting, and AI use cases.Stay abreast of the latest advancements and trends in AI, continuously exploring and evaluating new technologies and approaches.Optimise data processing, storage, and model performance for scalability and efficiency.Connect to your skills and professional experience Candidates must have proven experience in AI/ML Engineering ...

with web development technologies, such as HTML, CSS, JavaScript, and React.Proficiency in database management systems and SQL.Experience developing ETL pipelines using distributed computing and parallel processing frameworks, such as Spark.Knowledge of Data Architecture & Data Modelling techniques.Experience working with modern data & AI platforms such as Databricks, Dataiku, DataRobot, etc.Knowledge ...

teams to understand business requirements and translate them into robust AI solutions.Design, develop, and implement end-to-end AI pipelines, including data acquisition, pre-processing, feature engineering, model training, evaluation, and deployment.Develop and implement AI/machine learning models where appropriate, supporting use cases such as prediction, classification, automation … analytics, reporting, and AI use cases.Stay abreast of the latest advancements and trends in AI, continuously exploring and evaluating new technologies and approaches.Optimise data processing, storage, and model performance for scalability and efficiency.Connect to your skills and professional experience Candidates must have experience in AI/ML Engineering involving ...

leading investment bank. The successful candidate will design and develop scalable solutions supporting regulatory reporting platforms, ensuring compliance with evolving financial regulations while processing high volumes of transaction data. This role combines hands-on software engineering, data analysis, platform enhancement, and close collaboration with regulatory and business stakeholders. … compliance functions. Partner with Business Analysts, Compliance teams and Transaction Reporting SMEs to translate complex regulatory requirements into technical solutions. Build highly scalable data processing pipelines capable of handling millions of daily financial transactions. Conduct detailed data analysis, investigations, and root-cause assessments relating to reporting breaches and regulatory ...

with working cloud environments such as AWSTechnical Concept RequirementsExperience in any of the following AI/ML topics within a work context: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions with the ability to discuss in depth the design decisions.Experience …/QC framework and knowledge of drift, bias, and fairness.Experience in any of the following computer science concepts: Hashing, Space Complexity, and Parallel Processing (Multiprocessing)Ability to work with Linux/*nix systems, bash scripting, SSH (with some instruction).Experience in a Solution Architect role, with a demonstrated ...

with working cloud environments such as AWSTechnical Concept RequirementsExperience in any of the following AI/ML topics within a work context: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions with the ability to discuss in depth the design decisions.Experience …/QC framework and knowledge of drift, bias, and fairness.Experience in any of the following computer science concepts: Hashing, Space Complexity, and Parallel Processing (Multiprocessing)Ability to work with Linux/*nix systems, bash scripting, SSH (with some instruction).Experience in a Solution Architect role, with a demonstrated ...

more technologies relevant to these areas:Ingesting, transforming, enriching, and integrating data from diverse sources into well-structured information assets.Distributed computing techniques like parallel processing, streaming, batch workflow orchestration that enable handling large data volumes.ETL, data pipelines, and automated workflows for moving and processing data.Optimising data systems ...

more technologies relevant to these areas:Ingesting, transforming, enriching, and integrating data from diverse sources into well-structured information assets.Distributed computing techniques like parallel processing, streaming, batch workflow orchestration that enable handling large data volumes.ETL, data pipelines, and automated workflows for moving and processing data.Optimising data systems ...

more technologies relevant to these areas:Ingesting, transforming, enriching, and integrating data from diverse sources into well-structured information assets.Distributed computing techniques like parallel processing, streaming, batch workflow orchestration that enable handling large data volumes.ETL, data pipelines, and automated workflows for moving and processing data.Optimising data systems ...

Hybrid | Competitive Salary We're working with an innovative technology company seeking a Senior Python Software Engineer to build and optimise high-performance data processing systems in a production-focused environment. This role is centred on software engineering rather than modelling , with a strong emphasis on clean code, Test … Driven Development (TDD), and scalable data processing . Key Responsibilities Develop and maintain production-grade Python applications. Build high-throughput data processing pipelines handling large datasets on local server infrastructure. Design and implement robust multithreaded and multiprocessing solutions. Write clean, maintainable code within a TDD environment. Optimise performance ...

Physics, Engineering or another relevant scientific/technical discipline Desirable Technical Experience Experience developing multi-threaded and concurrent applications Understanding of asynchronous programming and parallel processing Experience with TCP/IP, UDP or network programming Experience building low-latency or high-throughput applications Experience working with ...

Physics, Engineering or another relevant scientific/technical discipline Desirable Technical Experience Experience developing multi-threaded and concurrent applications Understanding of asynchronous programming and parallel processing Experience with TCP/IP, UDP or network programming Experience building low-latency or high-throughput applications Experience working with ...

data management and AI deployment.Awareness of mathematical libraries used for signal, image, and data processing.Awareness of high-performance computing and the challenges associated with parallel processing.This list is not exhaustive, and we are keen to hear from you even if you do not meet every requirement. The most important ...

data management and AI deployment.Awareness of mathematical libraries used for signal, image, and data processing.Awareness of high-performance computing and the challenges associated with parallel processing.This list is not exhaustive, and we are keen to hear from you even if you do not meet every requirement. The most important ...

data management and AI deployment.Awareness of mathematical libraries used for signal, image, and data processing.Awareness of high-performance computing and the challenges associated with parallel processing.This list is not exhaustive, and we are keen to hear from you even if you do not meet every requirement. The most important ...

Fusion Cloud and internal or external enterprise systems using Oracle Integration Cloud. • Define practical and reusable integration patterns covering synchronous APIs, asynchronous orchestration, scheduled processing, event-based flows and file-based interfaces. • Produce and maintain integration design artefacts, including interface catalogues, mapping specifications, transformation rules, error-handling designs, deployment … notes and operational support documentation. • Build and optimise OIC integrations using: o App-driven orchestrations o Scheduled integrations and bulk processing patterns o REST and SOAP services o SFTP/file-based interfaces o Oracle Fusion adapters and enterprise application adapters where applicable o JSON, XML, XSLT, XPath ...

Fusion Cloud and internal or external enterprise systems using Oracle Integration Cloud. • Define practical and reusable integration patterns covering synchronous APIs, asynchronous orchestration, scheduled processing, event-based flows and file-based interfaces. • Produce and maintain integration design artefacts, including interface catalogues, mapping specifications, transformation rules, error-handling designs, deployment … notes and operational support documentation. • Build and optimise OIC integrations using: o App-driven orchestrations o Scheduled integrations and bulk processing patterns o REST and SOAP services o SFTP/file-based interfaces o Oracle Fusion adapters and enterprise application adapters where applicable o JSON, XML, XSLT, XPath ...

Fusion Cloud and internal or external enterprise systems using Oracle Integration Cloud. • Define practical and reusable integration patterns covering synchronous APIs, asynchronous orchestration, scheduled processing, event-based flows and file-based interfaces. • Produce and maintain integration design artefacts, including interface catalogues, mapping specifications, transformation rules, error-handling designs, deployment … notes and operational support documentation. • Build and optimise OIC integrations using: o App-driven orchestrations o Scheduled integrations and bulk processing patterns o REST and SOAP services o SFTP/file-based interfaces o Oracle Fusion adapters and enterprise application adapters where applicable o JSON, XML, XSLT, XPath ...

Fusion Cloud and internal or external enterprise systems using Oracle Integration Cloud. • Define practical and reusable integration patterns covering synchronous APIs, asynchronous orchestration, scheduled processing, event-based flows and file-based interfaces. • Produce and maintain integration design artefacts, including interface catalogues, mapping specifications, transformation rules, error-handling designs, deployment … notes and operational support documentation. • Build and optimise OIC integrations using: o App-driven orchestrations o Scheduled integrations and bulk processing patterns o REST and SOAP services o SFTP/file-based interfaces o Oracle Fusion adapters and enterprise application adapters where applicable o JSON, XML, XSLT, XPath ...

Fusion Cloud and internal or external enterprise systems using Oracle Integration Cloud. • Define practical and reusable integration patterns covering synchronous APIs, asynchronous orchestration, scheduled processing, event-based flows and file-based interfaces. • Produce and maintain integration design artefacts, including interface catalogues, mapping specifications, transformation rules, error-handling designs, deployment … notes and operational support documentation. • Build and optimise OIC integrations using: o App-driven orchestrations o Scheduled integrations and bulk processing patterns o REST and SOAP services o SFTP/file-based interfaces o Oracle Fusion adapters and enterprise application adapters where applicable o JSON, XML, XSLT, XPath ...

Fusion Cloud and internal or external enterprise systems using Oracle Integration Cloud. • Define practical and reusable integration patterns covering synchronous APIs, asynchronous orchestration, scheduled processing, event-based flows and file-based interfaces. • Produce and maintain integration design artefacts, including interface catalogues, mapping specifications, transformation rules, error-handling designs, deployment … notes and operational support documentation. • Build and optimise OIC integrations using: o App-driven orchestrations o Scheduled integrations and bulk processing patterns o REST and SOAP services o SFTP/file-based interfaces o Oracle Fusion adapters and enterprise application adapters where applicable o JSON, XML, XSLT, XPath ...