21 of 21 Domain Models Jobs in London

Doing Lead the discovery, analysis, and documentation of current and future-state enterprise data architectures. Design and deliver enterprise-wide data models, including: Domain Models Conceptual Models Logical Models Physical Models Architect high-performance data solutions across: Oracle PostgreSQL Cassandra YugabyteDB On-premise … modelling best practices Data normalisation and denormalisation Distributed data architecture Partitioning and replication strategies High-availability and scalability patterns Experience creating enterprise-level domain, conceptual, logical, and physical data models. Expertise with data modelling tools, ideally: ER/Studio Hackolade Strong understanding of enterprise integration, metadata management ...

business language, data assets, process flows, decision logic and AI use cases. Insurance domain expertise Underwriting, claims, policy lifecycle, broker/intermediary models, customer, risk, exposure, coverage, pricing, reserving, fraud, litigation, recoveries and reinsurance. Semantic and ontology design Business glossaries, taxonomies, ontologies, knowledge graphs, semantic layers, entity … models, relationship models and data meaning. AI and GenBI enablement Helping clients move from fragmented reporting and data silos to governed, explainable and AI-consumable business knowledge. Operational transformation Embedding ontology into workflows, decisions, controls, exception management and human-AI operating models. Key Responsibilities 1. Insurance ontology design ...

teams on Spring Boot best practice, including dependency management, REST API design, testing approaches and integration patterns. Support decisions around modularity, service boundaries, domain modelling and data ownership. Review designs and implementation approaches to ensure services are scalable, supportable and fit for live operation. Platform Design & Integration Oversee ...

documentation of strategy through engagement with wide range of internal and external stakeholders. Designing and building robust platform functionality, including developer‐friendly APIs, domain and data modelling and integrations. Setting a high bar for collaboration, communication, and sound decision making. From well‐written proposals and documentation to clear ...

architectural vision and execution of systems at the heart of a high-growth fintech. Technical Ownership: Full responsibility for evolving and scaling a domain‐critical platform. Cross-Functional Collaboration: Partner with experienced teams across disciplines to shape solutions from the ground up. Mission-Driven Environment: Work … problems into scalable, value-driven solutions. A collaborative leader who has mentored teams and influenced product direction. Experience working with complex domain models and evolving codebases. Bonus skills include Python, Django, PostgreSQL, event-driven data systems, machine learning familiarity and frontend awareness. If you're a Technical ...

downtime systems and internet‐facing APIs that can scale securely for large retail and external client volumes. Lead architectural decisions across API design, domain modelling, integration patterns, resilience, observability, and operational robustness, ensuring the platform is fit for 24/7 global production use. Work across multiple software ...

service platform, with direct responsibility for technical delivery quality and team output. Extensive C# and ASP.NET Core experience, including RESTful APIs, dependency injection, domain modelling, integration patterns, and performance considerations. Experience with Entity Framework Core code-first migrations and data modelling. Strong front-end engineering skills in React ...

Your impact will be felt directly by customers as you help shape the future of digital finance. What You’ll Be Doing Use domain modeling to build best-in-class, scalable business products. Structure software for maximum readability, testability, and evolution. Architect resilient solutions that eliminate single points ...

technical decision making across the backend platform. You'll be a strong fit if you enjoy: Designing and building scalable backend systems Domain modelling and solving complex business problems Owning technical decisions and architectural direction Working closely with product, operations, and commercial teams Improving engineering standards through code ...

redefine how global commerce works. About the Role We are looking for a Team Lead to found and lead the newly formed Unified Domain Team within our Enablement Group. This is a greenfield, high-leverage role: you will define and drive adoption of Swap's canonical domain … responsibilities. Responsibilities Lead a small, focused team with the autonomy and clarity to build foundational infrastructure. Define, publish, and version canonical domain models for Swap's core entities. Own the delivery of schemas and OpenAPI definitions. Establish and maintain a lightweight governance pipeline: review process, ownership model ...

Role highlights Early‐career hybrid who connects product, delivery and architecture. Shape stories, scenarios and NFRs with traceability to design/build. Support domain modelling and interface specifications for core programmes. Your … responsibilities Backlog shaping: user stories, scenarios, acceptance criteria and NFRs; maintain definition‐of‐ready/done. Architecture support: contribute to domain models, interface specs and API/event definitions; maintain requirements‐to‐build traceability. Delivery hygiene: reporting, risks/decisions, demos and release readiness; contribute to playbooks ...

corporate member of the World Wide Web Consortium — W3C , Depixen develops W3C-compliant Linked Data architectures , domain-specific ontologies , taxonomy models , RDF-based data structures , and knowledge graph infrastructures for the construction sector. Through its AI projects with respected universities and institutions in the United Kingdom, Depixen … advanced computer vision ideas into reliable production systems that address real industry problems. Responsibilities Design, develop, and evaluate robust, scalable, and verifiable computer vision models and pipelines using modern deep learning frameworks. Build and optimize end-to-end vision systems covering data preprocessing, model development, deployment, monitoring, and continuous ...

architecture to build. What You’ll Do Knowledge Architecture & Semantic Infrastructure. Design and own the enterprise knowledge layer—the governed semantic models, ontologies, and knowledge graph structures that ground both human analytics and AI agents in a single source of truth. Define how business meaning flows from glossaries through … data models to agent context. Conversational Analytics. Lead the strategy and delivery of natural‐language interfaces to business data. Move beyond dashboard‐driven BI toward systems where stakeholders query complex datasets conversationally and receive context‐rich, citation‐backed answers from governed semantic layers. Agentic Data Platform. Architect the infrastructure ...

encouraged to apply. Integrating with payment platforms, banking infrastructure, FX/crypto providers, and card processors Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Contributing to Vue.js frontend components where needed Deploying secure, high availability services across AWS, GCP, and Azure … heavily utilise agentic coding and AI-assisted development workflows, including Claude Code, to accelerate engineering productivity Engineers focus on solving complex technical and domain challenges rather than repetitive boilerplate development Collaborative engineering culture with involvement in architecture, design discussions, and domain modelling End-to-end ownership ...

encouraged to apply. Integrating with payment platforms, banking infrastructure, FX/crypto providers, and card processors Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Contributing to Vue.js frontend components where needed Deploying secure, high availability services across AWS, GCP, and Azure … heavily utilise agentic coding and AI-assisted development workflows, including Claude Code, to accelerate engineering productivity Engineers focus on solving complex technical and domain challenges rather than repetitive boilerplate development Collaborative engineering culture with involvement in architecture, design discussions, and domain modelling End-to-end ownership ...

monitor, but as an architecture to build.What You’ll DoKnowledge Architecture & Semantic Infrastructure. Design and own the enterprise knowledge layer—the governed semantic models, ontologies, and knowledge graph structures that ground both human analytics and AI agents in a single source of truth. Define how business meaning flows from … glossaries through data models to agent context.Conversational Analytics. Lead the strategy and delivery of natural-language interfaces to business data. Move beyond dashboard-driven BI toward systems where stakeholders query complex datasets conversationally and receive context-rich, citation-backed answers from governed semantic layers.Agentic Data Platform. Architect the infrastructure ...

design reviews and influencing engineering best practices Mentoring engineers and helping scale a high-performing engineering culture Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Deploying secure, high availability services across AWS, GCP, and Azure How Engineering Works We heavily utilise … engineering productivity Principal Engineers play a key role in technical strategy, architecture governance and engineering direction Engineers focus on solving complex technical and domain challenges rather than repetitive boilerplate development Collaborative engineering culture with involvement in architecture, design discussions, and domain modelling End-to-end ownership ...

design reviews and influencing engineering best practices Mentoring engineers and helping scale a high-performing engineering culture Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Deploying secure, high availability services across AWS, GCP, and Azure How Engineering Works We heavily utilise … engineering productivity Principal Engineers play a key role in technical strategy, architecture governance and engineering direction Engineers focus on solving complex technical and domain challenges rather than repetitive boilerplate development Collaborative engineering culture with involvement in architecture, design discussions, and domain modelling End-to-end ownership ...

programming languages knowledge in our primary languages (Java, Python, Clojure). Experience with Airflow or other Python-based workflow orchestration tools. Proficiency in domain-driven design and domain modeling. Exposure to Kubernetes, Docker, Linux, Kafka, RabbitMQ, or git. Using AI coding assistants to accelerate development while ...

intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview: We’re advancing the frontier of AI by training large language models to think like skilled legal professionals. Our goal is to build high-quality evaluation and training datasets that capture the real reasoning challenges lawyers … legal scholars face. You’ll work on ambitious, high-impact projects within the legal domain: from evaluating how models handle complex hypothetical cases to refining their ability to apply U.S. law with precision and nuance. This is an opportunity to shape how AI systems learn to reason ...

intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview: We’re advancing the frontier of AI by training large language models to think like skilled legal professionals. Our goal is to build high-quality evaluation and training datasets that capture the real reasoning challenges lawyers … legal scholars face. You’ll work on ambitious, high-impact projects within the legal domain: from evaluating how models handle complex hypothetical cases to refining their ability to apply U.S. law with precision and nuance. This is an opportunity to shape how AI systems learn to reason ...