21 of 21 Metadata Jobs in Central London

deployment and industrialisation • Cloud-native data platform build and transformation across Azure, AWS, and GCP, including architecture, migration, and optimisation • Data governance, data quality, metadata management, and enterprise data architecture for scalable, compliant data ecosystems • Regulatory change, remediation, and operational transformation, including risk, controls, reporting, and audit readiness ...

/offshore data and analytics teams. Oversee project estimation, delivery planning, code quality, documentation, and testing. Drive best practices in data warehousing, lakehouse architecture, metadata management, and deployment processes. Support production stability, incident resolution, and root cause analysis. Ensure governance, audit readiness, and compliance across analytics solutions. Work with external ...

Experiment Tracking & Model Registry Maintain and improve the MLflow-based experiment tracking and model registry infrastructure. Establish conventions for experiment logging, artifact storage, model metadata, and lineage tracking. Enable ML engineers to move seamlessly from experimentation to production deployment with minimal friction. Data & Model Versioning Implement and maintain training data ...

cross-functional teams, ensuring best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data ...

following areas: classification entity extraction entity resolution semantic enrichment recommendation systems semantic search information retrieval NLP data quality automation Strong understanding of data modelling, metadata, data quality, model evaluation, benchmarking, and error analysis. Ability to document technical work clearly and communicate across technical and non-technical teams. Interest in semantic ...

presentations, negotiations, and at industry events. Stay informed on emerging technologies and trends, including e-invoicing mandates, artificial intelligence, e-signatures, format conversion, and metadata enrichment Collaborate with UK and global teams to share best practices and support sales success About You You are an experienced Account Executive with ...

specific data needs. Proven track record in creating and executing strategic roadmaps and implementation plans. Hands-on experience with data governance, quality management, metadata, lineage, and master/reference data strategies, including compliance. Proficiency in using data management platforms such as Purview, Collibra, and Informatica. Experience with cloud-based data ...

technical audiences. Strong stakeholder engagement and self-management skills. Familiarity with cloud platforms (AWS preferred) and public sector data practices. Experience with metadata tools, ontologies, data platforms (e.g. lakes, meshes). Use of tools like Visio, Sparx, or frameworks like TOGAF. Knowledge of technical specs, data catalogues, and standards assurance. ...

authoritative data sources Facilitate structured sessions with SMEs and data office to validate definitions, resolve discrepancies, and capture requirements Define and embed modelling standards, metadata requirements, and quality controls aligned to the data governance framework Operate within a factory model, working in an iterative, high-throughput approach to deliver multiple ...

direction across AI, data, and platform teams. Key areas of focus include: Real-time sports insights & personalisation Computer vision & multimodal AI Live event detection & metadata generation Low-latency ML inference systems End-to-end MLOps & production ML Scalable cloud-native AI platforms What they’re looking for: Strong experience leading ...

with developers to implement fixes and improvements. Lead keyword research, content gap analysis, competitor reviews, and search opportunity planning. Optimise on-site SEO including metadata, internal linking, site architecture, and content recommendations. Manage off-page SEO initiatives including digital PR, outreach, and backlink profile improvement. Monitor algorithm updates and proactively ...

problems. Minimum 2 years’ experience of or exposure to insurance industry practices and/or systems. Experience in data analysis and reporting. Understanding of metadata systems. Knowledge of development life-cycle best practices. Detailed knowledge of Windows environments. Other programming experience ITIL Qualification Knowledge of development life-cycle best practices ...

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 … knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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 ...

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 … knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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 ...

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 … knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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 ...

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 … knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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 ...

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 … knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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 ...

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 … knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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 ...

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 … knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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 ...

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 … knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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 ...

Content/Conversational Designer: Agentic experience Design Location: London Contract Length: 6 months Working Pattern: Hybrid – 2 days per week in the office. Via Umbrella company Are you ready to take your content design skills ...