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, engineering practices, and cloud strategy and make a real impact in a forward-thinking, innovative environment Work closely with cross-functional teams to ensure successful platform delivery. About the
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. Experience with cloud-based AI deployment (Azure, Amazon Web Services, Google Cloud Platform). Professional certifications in AI, NLP, machine learning, or cloud technologies. Experience with Azure AI Foundry
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. Duties Within the Data Science Section, you will be responsible for: supporting the definition and implementation of the architecture for a hybrid-cloud science platform (expanding ESA Datalabs - https
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on various design projects Self-manage project and files Follow a project from design concept to completion Minimum Qualifications Full Employment Eligibility Requirements can be found here: https
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Familiarity with Salesforce Education Cloud or Education Data Architecture (EDA) B2 A good understanding of FOI and DPA legislation. B3 Salesforce Certified Platform Administrator. B4 Salesforce Certified
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Servers and related operating software including VMWare Manage Desktop operating systems including Windows OS, Macintosh OS, and Linux Install and manage Microsoft Office Suite, Adobe Creative Cloud, SPSS
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to ensure appropriate standards are met. Utilizes in-depth technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google
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Role: Technical Specialist (Cloud Solutions Architect) Grade and Salary: Grade 7, £37,694 - £47,389 per annum FTE and working pattern: 1FTE, 35hrs per week Contract: Fixed Term until 31 July 2027
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these resources through a cloud-native Kubernetes environment integrating large-scale CPU and GPU resources, Ceph object storage, BinderHub, Coffea-Casa, Dask, and ServiceX. This platform supports more than 500
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using tools like Apache Airflow, Prefect, cloud platforms (AWS, Azure, GCP), data warehousing solutions (Snowflake, Redshift), processing frameworks (Spark, Kafka), and container technologies (Docker