Guildford, Surrey, South East, United Kingdom Hybrid / WFH Options
Allianz Insurance Plc
unstructured text data. You will have the opportunity to work on diverse projects, ranging from topic modelling and entity recognition to text generation, creating ontologies and conversational AI. This role requires strong technical skills, a solid foundation in NLP, and a passion for innovation and problem solving. Responsibilities Implement ML … machine learning (i.e., graph neural networks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graph, creating ontologies leveraging Neo4j, GraphDB and query languages like Cypher. Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning PEFT/LoRA, Context embedding, Vector database more »
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
animal agriculture, aquaculture and/or biodiversity. In-depth knowledge of the following: bioinformatics, software engineering, relational databases, data portal development, data standards, genomics, ontologies, functional annotation, and high throughput sequencing analysis; The ambition and drive to develop high-impact data services for the wider research community. You might also more »
products, systems and services. Define data governance practices and policies for the management and use of data models, associated meta model, common business vocabulary, ontologies and taxonomies. Identify data anomalies and other inconsistencies with the architecture and work with business/data owners to resolve them. Help to maintain a more »
strategies. Build and maintain appropriate Enterprise Architecture artefacts including; Entity Relationship Models, interface catalogues, and taxonomy to aid data traceability Design enterprise level data ontologies that support main business initiatives e.g. asset management, training and MRO Qualification and Experience: Experienced IT professional A bachelor's degree in information technology or more »
strategies. Build and maintain appropriate Enterprise Architecture artefacts including; Entity Relationship Models, interface catalogues, and taxonomy to aid data traceability Design enterprise level data ontologies that support main business initiatives e.g. asset management, training and MRO Qualification and Experience: Experienced IT professional A bachelor's degree in information technology or more »
strategies. Build and maintain appropriate Enterprise Architecture artefacts including; Entity Relationship Models, interface catalogues, and taxonomy to aid data traceability Design enterprise level data ontologies that support main business initiatives e.g. asset management, training and MRO Qualification and Experience: Experienced IT professional A bachelor's degree in information technology or more »
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
career development Functional Competencies & Technical Skills Knowledge and practical experience working with: chemical structure data and formats drug discovery bioactivity data Knowledge of scientific ontologies relevant to drug discovery Understanding and appreciation of data curation approaches Practical experience in software development, database design, user experience approaches Interpersonal & Communication Skills Self more »
We are looking for a Lead Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse complex biomedical data such as experimental protocols and results from several more »
Saffron Walden, Essex, United Kingdom Hybrid / WFH Options
Confidential
ul li chemical structure data and formats/li li drug discovery bioactivity data/li/ul/li li Knowledge of scientific ontologies relevant to drug discovery/li li Understanding and appreciation of data curation approaches/li li Practical experience in software development, database design, user more »
products, systems and services. Define data governance practices and policies for the management and use of data models, associated meta model, common business vocabulary, ontologies and taxonomies. Identify data anomalies and other inconsistencies with the architecture and work with business/data owners to resolve them. Help to maintain a more »
