1 to 25 of 66 Domain Models Jobs in the UK excluding London

equivalent certification in enterprise architecture. ITIL certification or equivalent knowledge of IT service management frameworks. Experience with architecture tools such as Orbus iServer and MS Visio. Proficiency in Domain Driven Design, Modelling (Relationships, topologies, Sequence Diagrams, UML, ArchiMate). Familiarity with Automation, testing, and development pipelines in an Agile and DevOps environment. Practical knowledge of Agile, DevOps, and More ❯

equivalent certification in enterprise architecture. ITIL certification or equivalent knowledge of IT service management frameworks. Experience with architecture tools such as Orbus iServer and MS Visio. Proficiency in Domain Driven Design, Modelling (Relationships, topologies, Sequence Diagrams, UML, ArchiMate). Familiarity with Automation, testing, and development pipelines in an Agile and DevOps environment. Practical knowledge of Agile, DevOps, and More ❯

all asset classes, products and market infrastructures — no matter what you trade or where your assets are held. By operationalising and embedding industry standards such as the Common Domain Model (CDM) directly into our platform, we harness the power of blockchain , smart contracts and tokenisation to drive automation, interoperability, and efficiency across capital markets . Founded in … THE ROLE As a Lead Software Engineer, you will play a central role in designing and building Tokenovate’s post-trade lifecycle engine, grounded in the FINOS Common Domain Model (CDM) — an open-source, standardised representation of financial contracts and events. You will collaborate with domain experts, engineers, and product stakeholders to formalise financial workflows into … ensuring scalability and resilience. Work with Kafka or similar messaging platforms to deliver asynchronous, high-throughput event processing. Translate business logic and financial workflows into formal domain models and DSLs for contract representation and automation. Champion data modelling standards to ensure traceability and semantic clarity across trade events and asset lifecycles. Collaboration & Technical Leadership Partner with product More ❯

Experience with modern data stack tools like dbt, Snowflake, Github and AWS. Knowledge of data governance, security, and compliance standards. Familiarity with data contracts, data mesh principles, and domain-driven data modeling. Experience with CI/CD for data pipelines and best practices for observability and monitoring. Prior experience as an engineering manager or tech lead with a … integrate cloud infrastructure, CI/CD practices, and observability into data workflows. Collaborate with DS and analytics teams to ensure a seamless pipeline from raw data to production-ready models and insights. Lead and grow a team of high-performing data engineers, fostering a strong culture of learning, collaboration, and continuous improvement. Provide mentorship and coaching to help engineers More ❯

problem-solving skills Exposure to Unit testing frameworks Knowledge of Spring Boot/Hibernate Experience with JProfiler/Jprobe (any profiling tool) Strong desire to understand and learn domain Exposure to database modelling and performance tuning. Source control (preferably Git) and continuous Integration tools Experience in working using Agile methodology Exposure to financial industry Equal Opportunity Statement - Genpact More ❯

problem-solving skills Exposure to Unit testing frameworks Knowledge of Spring Boot/Hibernate Experience with JProfiler/Jprobe (any profiling tool) Strong desire to understand and learn domain Exposure to database modelling and performance tuning. Source control (preferably Git) and continuous Integration tools Experience in working using Agile methodology Exposure to financial industry Genpact is an Equal More ❯

developers Continuously develop your skillset via tailored professional development objectives and budget What we need from you: Significant experience building web-based applications using C# Demonstrable skills in domain modelling using Object Oriented techniques and principles Proficient in writing automated tests using frameworks such as NUnit, MSTest, or xUnit Strong knowledge of web application security and how to More ❯

+ Benefits and Bonus Location: London (3 days a week onsite) The Role: As a Data Modeler , you will be responsible for designing and implementing data models to support complex data environments. Your responsibilities: Engage with other data modelers, data architects and data professionals to continually improve the data modelling landscape. Governance and oversight of data models ensuring … they conform to agreed principles and standards. Supporting the delivery of change activity and ensuring that Business Domain Models meet the business needs. Nurturing a data culture and promoting data model usage. Assisting with implementing data models into the change and governance frameworks. Building conceptual and logical data models that accurately represent data relationships. Working … development experience. Adept problem solver with a flair for logical and lateral thinking. Experience of conceptual and logical data modelling. Desirable skills/knowledge/experience: Knowledge of Domain Driven Design (DDD) and DAMA. Experience with data analytics, APIs, databases, and related technologies. In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy. More ❯

You will also be required to regularly visit clients throughout the UK so must be comfortable with some travel. Responsibilities : Prepare for the analysis activity through reviewing the domain, evaluating stakeholders, determining the output required and how best to achieve success Conduct the analysis activity at customer locations in the UK or abroad to have face to face … Key Requirements: Excellent soft skills such as communication, presentation and negotiation Experience in delivering software using various software methodologies, particularly Agile and Waterfall Experience in creating UML, BPMN 2.0 models and diagrams, particularly conceptual domain models, activity diagrams, and use case diagrams. Experience in developing and documenting requirements, with acceptance tests, and providing supporting artefacts like More ❯

You will also be required to regularly visit clients throughout the UK so must be comfortable with some travel. Responsibilities : Prepare for the analysis activity through reviewing the domain, evaluating stakeholders, determining the output required and how best to achieve success Conduct the analysis activity at customer locations in the UK or abroad to have face to face … Key Requirements: Excellent soft skills such as communication, presentation and negotiation Experience in delivering software using various software methodologies, particularly Agile and Waterfall Experience in creating UML, BPMN 2.0 models and diagrams, particularly conceptual domain models, activity diagrams, and use case diagrams. Experience in developing and documenting requirements, with acceptance tests, and providing supporting artefacts like More ❯

You will also be required to regularly visit clients throughout the UK so must be comfortable with some travel. Responsibilities : Prepare for the analysis activity through reviewing the domain, evaluating stakeholders, determining the output required and how best to achieve success Conduct the analysis activity at customer locations in the UK or abroad to have face to face … Key Requirements: Excellent soft skills such as communication, presentation and negotiation Experience in delivering software using various software methodologies, particularly Agile and Waterfall Experience in creating UML, BPMN 2.0 models and diagrams, particularly conceptual domain models, activity diagrams, and use case diagrams. Experience in developing and documenting requirements, with acceptance tests, and providing supporting artefacts like More ❯

capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other … End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience More ❯

capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other … End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience More ❯

capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other … End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience More ❯

capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other … End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience More ❯

capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other … End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience More ❯

the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and ecosystem integrations. Apply advanced performance tuning, database optimization, and domain-driven design principles. Collaborate with and mentor engineers on system architecture, CI/CD workflows, and API integrations. Provide technical oversight in data modeling, system scaling, availability, and reliability. … SQL Server, including: Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and system design in distributed environments. Experience working in Agile environments with cross-functional teams. Proficiency in workflow optimization through tooling, process, automation, and AI augmentation (including Agentic … AI). Domain knowledge in IT Asset Management, FinOps, or vulnerability intelligence is a plus. Personal Attributes Clear communicator: Crisp, honest, and transparent communication style. Data-driven mindset: Always seeks to validate hypotheses with data. Detail-oriented and strategic: Able to zoom into details while maintaining a broader perspective. Hands-on leader: Actively seeks challenges and empowers the More ❯

the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and ecosystem integrations. Apply advanced performance tuning, database optimization, and domain-driven design principles. Collaborate with and mentor engineers on system architecture, CI/CD workflows, and API integrations. Provide technical oversight in data modeling, system scaling, availability, and reliability. … SQL Server, including: Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and system design in distributed environments. Experience working in Agile environments with cross-functional teams. Proficiency in workflow optimization through tooling, process, automation, and AI augmentation (including Agentic … AI). Domain knowledge in IT Asset Management, FinOps, or vulnerability intelligence is a plus. Personal Attributes Clear communicator: Crisp, honest, and transparent communication style. Data-driven mindset: Always seeks to validate hypotheses with data. Detail-oriented and strategic: Able to zoom into details while maintaining a broader perspective. Hands-on leader: Actively seeks challenges and empowers the More ❯

the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and ecosystem integrations. Apply advanced performance tuning, database optimization, and domain-driven design principles. Collaborate with and mentor engineers on system architecture, CI/CD workflows, and API integrations. Provide technical oversight in data modeling, system scaling, availability, and reliability. … SQL Server, including: Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and system design in distributed environments. Experience working in Agile environments with cross-functional teams. Proficiency in workflow optimization through tooling, process, automation, and AI augmentation (including Agentic … AI). Domain knowledge in IT Asset Management, FinOps, or vulnerability intelligence is a plus. Personal Attributes Clear communicator: Crisp, honest, and transparent communication style. Data-driven mindset: Always seeks to validate hypotheses with data. Detail-oriented and strategic: Able to zoom into details while maintaining a broader perspective. Hands-on leader: Actively seeks challenges and empowers the More ❯

the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and ecosystem integrations. Apply advanced performance tuning, database optimization, and domain-driven design principles. Collaborate with and mentor engineers on system architecture, CI/CD workflows, and API integrations. Provide technical oversight in data modeling, system scaling, availability, and reliability. … SQL Server, including: Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and system design in distributed environments. Experience working in Agile environments with cross-functional teams. Proficiency in workflow optimization through tooling, process, automation, and AI augmentation (including Agentic … AI). Domain knowledge in IT Asset Management, FinOps, or vulnerability intelligence is a plus. Personal Attributes Clear communicator: Crisp, honest, and transparent communication style. Data-driven mindset: Always seeks to validate hypotheses with data. Detail-oriented and strategic: Able to zoom into details while maintaining a broader perspective. Hands-on leader: Actively seeks challenges and empowers the More ❯

the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and ecosystem integrations. Apply advanced performance tuning, database optimization, and domain-driven design principles. Collaborate with and mentor engineers on system architecture, CI/CD workflows, and API integrations. Provide technical oversight in data modeling, system scaling, availability, and reliability. … SQL Server, including: Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and system design in distributed environments. Experience working in Agile environments with cross-functional teams. Proficiency in workflow optimization through tooling, process, automation, and AI augmentation (including Agentic … AI). Domain knowledge in IT Asset Management, FinOps, or vulnerability intelligence is a plus. Personal Attributes Clear communicator: Crisp, honest, and transparent communication style. Data-driven mindset: Always seeks to validate hypotheses with data. Detail-oriented and strategic: Able to zoom into details while maintaining a broader perspective. Hands-on leader: Actively seeks challenges and empowers the More ❯

the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and ecosystem integrations. Apply advanced performance tuning, database optimization, and domain-driven design principles. Collaborate with and mentor engineers on system architecture, CI/CD workflows, and API integrations. Provide technical oversight in data modeling, system scaling, availability, and reliability. … SQL Server, including: Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and system design in distributed environments. Experience working in Agile environments with cross-functional teams. Proficiency in workflow optimization through tooling, process, automation, and AI augmentation (including Agentic … AI). Domain knowledge in IT Asset Management, FinOps, or vulnerability intelligence is a plus. Personal Attributes Clear communicator: Crisp, honest, and transparent communication style. Data-driven mindset: Always seeks to validate hypotheses with data. Detail-oriented and strategic: Able to zoom into details while maintaining a broader perspective. Hands-on leader: Actively seeks challenges and empowers the More ❯

the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and ecosystem integrations. Apply advanced performance tuning, database optimization, and domain-driven design principles. Collaborate with and mentor engineers on system architecture, CI/CD workflows, and API integrations. Provide technical oversight in data modeling, system scaling, availability, and reliability. … SQL Server, including: Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and system design in distributed environments. Experience working in Agile environments with cross-functional teams. Proficiency in workflow optimization through tooling, process, automation, and AI augmentation (including Agentic … AI). Domain knowledge in IT Asset Management, FinOps, or vulnerability intelligence is a plus. Personal Attributes Clear communicator: Crisp, honest, and transparent communication style. Data-driven mindset: Always seeks to validate hypotheses with data. Detail-oriented and strategic: Able to zoom into details while maintaining a broader perspective. Hands-on leader: Actively seeks challenges and empowers the More ❯

the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and ecosystem integrations. Apply advanced performance tuning, database optimization, and domain-driven design principles. Collaborate with and mentor engineers on system architecture, CI/CD workflows, and API integrations. Provide technical oversight in data modeling, system scaling, availability, and reliability. … SQL Server, including: Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and system design in distributed environments. Experience working in Agile environments with cross-functional teams. Proficiency in workflow optimization through tooling, process, automation, and AI augmentation (including Agentic … AI). Domain knowledge in IT Asset Management, FinOps, or vulnerability intelligence is a plus. Personal Attributes Clear communicator: Crisp, honest, and transparent communication style. Data-driven mindset: Always seeks to validate hypotheses with data. Detail-oriented and strategic: Able to zoom into details while maintaining a broader perspective. Hands-on leader: Actively seeks challenges and empowers the More ❯

the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and ecosystem integrations. Apply advanced performance tuning, database optimization, and domain-driven design principles. Collaborate with and mentor engineers on system architecture, CI/CD workflows, and API integrations. Provide technical oversight in data modeling, system scaling, availability, and reliability. … SQL Server, including: Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and system design in distributed environments. Experience working in Agile environments with cross-functional teams. Proficiency in workflow optimization through tooling, process, automation, and AI augmentation (including Agentic … AI). Domain knowledge in IT Asset Management, FinOps, or vulnerability intelligence is a plus. Personal Attributes Clear communicator: Crisp, honest, and transparent communication style. Data-driven mindset: Always seeks to validate hypotheses with data. Detail-oriented and strategic: Able to zoom into details while maintaining a broader perspective. Hands-on leader: Actively seeks challenges and empowers the More ❯