1 to 25 of 32 Metadata Jobs in the East of England

security-by-design, including encryption, access control, secure data movement, and compliance with regulatory requirements. Support data governance activities by ensuring consistent use of metadata, lineage, and cataloguing standards. Operational Excellence: Build resilient, high-performing data solutions capable of supporting financial reporting workloads. Develop and maintain reusable data engineering patterns ...

/CrewAI/Strands-style patterns) with clear guardrails. Design enterprise-grade knowledge architectures: ingestion pipelines, chunking strategies, embedding/model choices, vector stores, metadata/ACL strategy, and evaluation loops to improve retrieval quality. Architect APIs and integration layers for GenAI agents (API Gateway/ALB, VPC integration, event ...

strategy. The ideal candidate will bring strong expertise in conceptual, logical, and physical data modelling, alongside deep experience in data governance, data quality, and metadata management. A strong knowledge of Master and Reference Data Management (MDM/RDM), with experience working across integrated data governance and metadata management ecosystems, including … Snowflake, Databricks, Synapse, BigQuery). Lead design reviews, ensuring models are accurate, high-quality, and aligned with business capabilities and domain boundaries. Data Governance & Metadata Management Define data ownership, stewardship models, and contribute to the governance operating framework. Build and maintain data dictionaries, business glossaries, critical data elements (CDEs ...

strategy. The ideal candidate will bring strong expertise in conceptual, logical, and physical data modelling, alongside deep experience in data governance, data quality, and metadata management. A strong knowledge of Master and Reference Data Management (MDM/RDM), with experience working across integrated data governance and metadata management ecosystems, including … Snowflake, Databricks, Synapse, BigQuery). Lead design reviews, ensuring models are accurate, high-quality, and aligned with business capabilities and domain boundaries. Data Governance & Metadata Management Define data ownership, stewardship models, and contribute to the governance operating framework. Build and maintain data dictionaries, business glossaries, critical data elements (CDEs ...

services that support AI agent interaction Drive the application of GenAI to modernise, refactor, and accelerate legacy systems Define and implement APIs, contracts, and metadata aligned with the Model Context Protocol Shape and evolve internal tooling that supports AI-native SDLC workflows Influence architecture decisions, conduct design and code reviews ...

data curation, coordination, validation, distribution and visualisation of agriculture, aquaculture and biodiversity data. You will work with large scientific communities to define and implement metadata standards, develop software to validate and improve data descriptions and develop, build new project specific portals, and extend existing web data portals to meet … users, and collaborators, to which you will provide guidance and support on utilisation of the team's software and support users to provide rich metadata descriptions. You will work with a range of data archives at EMBL-EBI, including the ENA and BioSamples, to support each project and community ...

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 ...

architecture, automated testing, documentation, observability, and maintainable code. Integrate tools with engineering data sources such as logs, test output, failure reports, source code, build metadata, and CI results, ensuring outputs are useful, traceable, and appropriate for engineering decision-making. Contribute to the design and evaluation of LLM-based systems, including … integrations, test infrastructure, or engineering automation. Experience working with engineering data and workflows, such as logs, source code, test output, CI results, build metadata, failure reports, or software quality signals. Hands-on DevOps experience with AWS, Kubernetes, Cloudbees Jenkins, GitHub, or similar platforms. In Return: When joining our team ...

from PDM to Siemens Teamcenter PLM. Work with SolidWorks and the SWIM interface to facilitate data transfer and ensure data integrity. Review CAD files, metadata, part structures, and associated documentation to identify and resolve data issues. Perform data cleansing activities to improve consistency, completeness, and accuracy prior to migration. Collaborate … familiarity with Siemens Teamcenter and SolidWorks. Experience supporting data cleansing, data migration, or system transition projects. Understanding of CAD file structures, CAD file metadata, and product lifecycle processes. Strong attention to detail and ability to manage large volumes of technical data. Effective communication and collaboration skills. Qualifications and Education: Higher ...

from PDM to Siemens Teamcenter PLM. Work with SolidWorks and the SWIM interface to facilitate data transfer and ensure data integrity. Review CAD files, metadata, part structures, and associated documentation to identify and resolve data issues. Perform data cleansing activities to improve consistency, completeness, and accuracy prior to migration. Collaborate … familiarity with Siemens Teamcenter and SolidWorks. Experience supporting data cleansing, data migration, or system transition projects. Understanding of CAD file structures, CAD file metadata, and product lifecycle processes. Strong attention to detail and ability to manage large volumes of technical data. Effective communication and collaboration skills. Qualifications and Education: Higher ...

rRNA sequencing, ITS sequencing, shotgun metagenomics), Multi-omics (proteomics, lipidomics, metabolomics), Clinical and observational data (treatment exposure, formulation and ingredient combinations, clinical outcomes, patient metadata). Datasets include longitudinal measurements, enabling analysis of biological response to interventions (e.g., ingredient exposure, treatment, formulation). 1) Build the discovery engine (data → signal … feature representations from: o microbiome sequencing (16S/ITS/shotgun) o gene expression/transcriptomics o lipidomics/proteomics/metabolomics o clinical metadata and response data o SNP and risk features (where relevant) 2) Predict mechanism + response ● Build predictive models for: o molecule–microbe interactions o molecule ...

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 ...

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 ...