176 to 200 of 356 Metadata Jobs in London

measure customer outcomes. Drive adoption of operational dashboards that improve platform health and execution. Platform Optimization Develop products that improve publishing reliability, distribution quality, metadata quality, content health, and creator efficiency. Analyze product performance data, identifying areas for improvement and recommending data-driven solutions. Define systems that proactively surface issues ...

senior architecture position requiring much more than data modelling alone. You will work across enterprise architecture, data governance, data platforms, information management, metadata and emerging AI capabilities , helping ensure that data is treated as a strategic organisational asset. You will work closely with senior business and technical stakeholders, Enterprise Architects … architectures and models. Establish clear links between business objectives, information requirements, data assets and technology solutions. Provide architectural leadership across data governance, data quality, metadata and information management. Define data architecture principles, standards, reference models and reusable patterns. Work closely with Data Engineering teams on the design and evolution ...

identifying silos, duplication and data quality issues. Assess the existing GCP/BigQuery Data Lakehouse, architecture, scalability and integration patterns. Evaluate data governance, ownership, metadata, lineage, MDM, security and compliance. Develop current-state assessments, architecture diagrams, data inventories and maturity assessments. Define the high-level target data architecture, technology stack …/BigQuery and Data Lakehouse experience. Strong knowledge of data modelling, ETL/ELT, data integration, migration and architecture. Understanding of data governance, metadata, lineage, MDM and data quality. Strong analytical skills across systems, data, processes and frameworks. Experience building tools/processes using Python and LLMs. Strong client-facing ...

Architecture & Standards Design and own the enterprise data architecture, including data models, integration patterns, and platform design. Establish and maintain data standards, taxonomies, and metadata frameworks. Ensure architectural decisions support scalability, security, and interoperability across Group companies. Data Governance & Integrity Implement and lead data governance across the Group, including policies … data pipelines. Experience with modern data‐lake technologies — ideally Microsoft Fabric, Azure Data Lake, or similar. Strong knowledge of data integrity, quality tooling, and metadata management. Ability to translate business needs into data solutions and actionable insights. Strong organisational and stakeholder-management skills, with the ability to work across multiple ...

large-scale data processing and feature engineering solutions using technologies such as PySpark and Databricks. Create multimodal machine learning models that combine image, text, metadata, and behavioural data to enhance forecasting and AI capabilities. Collaborate with Applied Scientists, Data Engineers, Product Managers, and business stakeholders to productionise innovative machine learning ...

management platform. Support the migration and consolidation of multiple websites and content repositories into a single digital ecosystem. Design and implement content models, taxonomies, metadata structures and information architectures. Establish and support content governance frameworks, publishing workflows and approval processes. Provide expertise in API-driven content delivery, integration patterns ...

management platform. Support the migration and consolidation of multiple websites and content repositories into a single digital ecosystem. Design and implement content models, taxonomies, metadata structures and information architectures. Establish and support content governance frameworks, publishing workflows and approval processes. Provide expertise in API-driven content delivery, integration patterns ...

development/implementation of systems that industrialise media workflows. Acting as the primary technical authority for Cloud NAS integration, media ingest pipelines, & automated metadata scripting. Prior experience in the media broadcasting industry, specifically with digital asset management, Cloud NAS, and video ingest or similar workflows is required. You will need ...

development/implementation of systems that industrialise media workflows. Acting as the primary technical authority for Cloud NAS integration, media ingest pipelines, & automated metadata scripting. Prior experience in the media broadcasting industry, specifically with digital asset management, Cloud NAS, and video ingest or similar workflows is required. You will need ...

bring people together around solutions. Confident working with data and technology, with a practical understanding of areas such as data pipelines, modelling, APIs, integrations, metadata, lineage and access controls. A strong data product thinker, who understands how to create reusable data products rather than simply responding to individual data requests. ...

integrations or via frameworks such as FFmpeg and GStreamer. Build and maintain video processing pipelines covering ingest, frame and clip extraction, transcoding, timestamps, keyframes, metadata and audio/video synchronisation. Connect video processing stages to computer-vision and multimodal AI models for tasks such as classification, detection, captioning, embeddings, retrieval ...

requirements of our diverse user base. Your work will be intellectually Job responsibilities Leads the engineering of cutting-edge solutions in the areas of metadata, meta-modelling and distributed systems. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure ...

answering, and evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production ...

bring people together around solutions.Confident working with data and technology, with a practical understanding of areas such as data pipelines, modelling, APIs, integrations, metadata, lineage and access controls.A strong data product thinker, who understands how to create reusable data products rather than simply responding to individual data requests.Evidence and outcome ...

implement SEO recommendations Monitor and improve Core Web Vitals and website performance Implement structured data and technical SEO best practices Optimise website content, metadata, headings and landing pages Create SEO content briefs and work alongside content teams to deliver high‐quality content Support local SEO initiatives, including Google Business Profile ...

risk, operational risk, controls management, data governance or related disciplines within financial services Sound understanding of data management concepts including data governance, data quality, metadata, lineage, critical data elements, stewardship, data retention and data security Experience in risk assessment, control design, control monitoring, issue management, governance and escalation within ...

sensors – into temporally‐aligned, policy‐consumable trajectories Define and maintain the data contract between UMI devices and the AI team: stream formats, episode packaging, metadata schemas, and the interface between raw recordings and training pipelines Build and maintain data validation tooling that detects dropped frames, timing jitter, pose tracking loss ...

where needed, frontend interfaces, embracing Spotify's infrastructure patterns and continuing making WhoSampled the industry-leader in showcasing the story behind the music. Improve metadata matching: Evolve how WhoSampled's database is matched to Spotify's catalog, moving beyond heuristics toward ML-assisted approaches, including entity resolution and LLM-powered ...

tools, and frameworks and contribute recommendations for experimentation and adoption.Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts.Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows.Search, Retrieval & RAG SystemsDesign, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches.Contribute ...

Automata's LINQ, and the output lands as structured, AI-ready data under a shared ontology. The observation product captures metadata everywhere it is generated and maps it into a knowledge graph, so every run carries full provenance. Where you land depends on you and on what the lab needs ...

from data across the organisation. The Role: Define and maintain enterprise data architecture standards, policies, and governance frameworks. Own logical and physical data models, metadata, data flows, and data lifecycle management. Lead architectural assurance across strategic projects and programmes. Drive best practice across data modelling, master data management, metadata management … mentoring and thought leadership. Requirements: Proven experience in a Senior Data Architect or similar enterprise-level role. Strong expertise in data governance, data quality, metadata management, data integration, analytics, and data security. Advanced knowledge of conceptual, logical, and physical data modelling. Experience producing architecture artefacts including ERDs, data dictionaries, taxonomies ...

fragmented across legacy systems, suppliers, operational silos, secureenvironmentsor regulated business processes. Yourspecialismsshould cover data governance, master data management strategy, data quality, data ownership, metadata, information management, DLP and the data-control aspects of AI readiness. Methods is appointing seven Domain Experts, each matched to a core strategic offering. Client-Side … data governance operating models, including decision rights, governance forums, data ownership, stewardship roles, escalationroutesand accountability. Develop data policies, standards and controls covering data quality, metadata, lineage, cataloguing, access, sharing, retention, classification, acceptableuseand lifecycle management. Shape master data management and reference data strategies, including golden source principles, matching, survivorship, stewardship,integrationand ...

ownership of analytical judgement and verification. Initial Focus Establish foundational, governed and permission-aware data assets in Microsoft Fabric and Databricks, including curated datasets, metadata, lakehouse data models and quality measures. Develop reusable pipelines in Microsoft Fabric and Databricks for entity resolution, enrichment, metadata, relationship mapping and data-quality monitoring. … with NLP, information extraction, entity resolution, embeddings or other techniques relevant to document-heavy and relationship-rich data. Good understanding of data lineage, provenance, metadata, access controls, permissions and the responsible use of sensitive data within an enterprise data estate. Experience with Git, automated testing, API integration, CI/ ...

Kimball methodologies. Define semantic data layers, modelling standards, and governance frameworks to improve consistency, quality, and reusability. Manage logical and physical data models, including metadata, business glossaries, data flows, and data storage. Partner with Data Engineers, Analytics Engineers, and wider technology teams to deliver data solutions through an agile environment. … understanding of logical, physical, transactional, analytical, and relational data modelling approaches. Experience establishing architecture standards, governance frameworks, and data management best practices. Knowledge of metadata management, data quality, data governance, and master data management principles. Strong stakeholder management skills with the ability to influence both technical and business leaders. Experience ...

knowledge. Analyse legacy data structures and identify standardisation, cleansing, transformation and remediation needs. Define data quality rules, validation logic and exception handling requirements. Support metadata-driven validation design, ensuring validation rules can be stored, maintained and audited against the canonical model. Analyse data quality issues and identify repeatable remediation patterns. … migration, legacy system modernisation or platform replacement. Experience with Databricks, Delta Lake, Spark SQL or PySpark. Experience defining validation frameworks, data quality dashboards or metadata-driven rule engines. Experience working in consultancy or client-facing delivery environments. Behaviours and Consulting Fit We are looking for someone who can operate with ...