5 of 5 Permanent Parallel Processing Jobs in the North West

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 ...

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 ...

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 attribute ...

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 ...