14 of 14 Remote/Hybrid Metadata Jobs in the City of London

landing architecture Standardisation validation and data quality layers Master and reference data integration Analytical and dimensional modelling approaches Semantic layer and BI consumption patterns Metadata lineage observability and monitoring Architecture Leadership Act as architectural authority and design reviewer Produce architecture artefacts principles and standards Translate business strategy into scalable data ...

Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge ...

best practices Collaborate with product teams and solution architects to design integrated, end-to-end data flows Maintain enterprise data dictionaries, taxonomies, and metadata repositories Perform oversight and quality assurance on data architecture artefacts and reverse-engineered data structures Provide data architecture input into enterprise and solution architecture to ensure ...

Review existing SharePoint configuration and recommend technical improvements Analyse and resolve SharePoint storage issues, including optimisation and long-term storage strategy Define information architecture, metadata, content types and search configuration Work closely with the business to translate requirements into technical SharePoint solutions Design and deliver Power Apps solutions integrated with ...

Governance Consultant Permanent Location: Home Based - with travel to client sites Salary: £90,000 - £110,000 (+ benefits) Skills: Data Governance, AI Assurance, Metadata Management, SC Clearance We are looking to recruit a Senior Data & AI Governance Consultant for a leading IT & Data Consultancy click apply for full job details ...

reinventing how ecommerce teams create and manage product content at enterprise scale Platform uses advanced AI agents to optimise product titles, descriptions and metadata across large catalogues Trusted by leading retailers including M&S, Argos and OnCloud to improve discoverability and performance across traditional search and emerging AI-led search ...

scalable environments. You must have proven experience as a Salesforce DevOps Engineer, Release Engineer, or similar role. Strong knowledge of Salesforce development lifecycle, metadata, and packaging. Expertise with GitHub Actions. Solid understanding of Git, branching strategies, and version control best practices. Experience with Salesforce CLI (sfdx), scratch orgs, and automation ...

efficient and scalable applications for a large active user base. Expertise in large-scale integration using SOAP, REST, Streaming (including Lightning Events), and Metadata APIs, facilitating the seamless connection of Salesforce with other systems. Please apply ASAP to find out more. ...

Governance Consultant Permanent Location: Home Based - with travel to client sites Salary: £90,000 - £110,000 (+ benefits) Skills: Data Governance, AI Assurance, Metadata Management, SC Clearance We are looking to recruit a Senior Data & AI Governance Consultant for a leading IT & Data Consultancy. You will help clients build robust … customer site when required What you'll do Deliver data governance workstreams , including policies, stewardship models, RACI, data quality monitoring and remediation. Implement metadata and cataloguing : business glossaries, lineage, classification, and sensitivity labels. Contribute to AI assurance across the lifecycle, including training data preparation, model selection support, evaluation and monitoring ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...