23 of 23 Domain Models Jobs in London

in your work. Strong problem-solving skills, viewing technology as a means to solve challenges. Proficiency in a programming language (e.g., Scala, Python, Java, C#) with understanding of domain modelling and application development. Knowledge of data management platforms (SQL, NoSQL, Spark/Databricks). Experience with modern engineering tools (Git, CI/CD), cloud platforms (Azure, AWS), and More ❯

the right information to build and then communicate better understanding for the problems we need to be solving. 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 commit messages and read More ❯

projects. Your expertise in Discrete Data, API & Modular Design will help guide solutions for: distributed, domain-driven, event-driven and microservices data architectures; enterprise and canonical data models for data domains and events; mediating event, API and microservices communication; reusable common data and digital services (e.g. document management, OCR, NLP, search); and internal and external consumption of … technologies (e.g. Delta Lake, Parquet, Spark, Databricks) API & Microservices Message queues, streaming technologies, and event driven architecture NoSQL databases and query languages Data domain and event data models Data Modelling Logging and monitoring Container and Container Orchestration UX and UI Azure cloud platform environment Data access control and security Integration and Data Pipeline/ETL/ELT More ❯

teams that use shared systems and infrastructure, with support from common resources like a DevOps team. The requirements Essential: Expertise in systems architecture, including designing and managing complex domain models. . Advanced proficiency in software development using an object-oriented language. Business-orientation: you can collaborate with stakeholders to translate complex challenges into scalable solutions. You have owned More ❯

management of risk. As part of the Moody's Insurance Solutions Graduate Program, you'll work with the people, teams, and companies leading the way in the use of models, data, analytics, and technology to derive relevant insights across the insurance lifecycle. Our insurance customers use our models, data, analytics, and technology to assess catastrophe, climate, actuarial, economic … communicate insights and analyses. Ability to work in dynamic environment with flexibility of tasks. Post-graduate work experience. Experience with or interest in: the Re/Insurance business domain/catastrophe modeling, Database management/working with relational databases (SQL), Moody's RMS products (e.g. RiskLink, Risk Modeler, Intelligent Risk Platform), Data engineering, data analytics, data science, using … Science graduate will get the opportunity to work closely with the Model Development, Model Analytics, Model Documentation, Model Specialist, Consulting, and other teams to help provide insight into upcoming models, eliminate surprises, and ensure readiness for model releases. In this role, you will work with a broad range of internal and client data, and with data pipelining, processing, and More ❯

have strong expertise in: Supplier integration systems that process vast amounts of data Industry leading bespoke, high performance search and recommendation systems Sophisticated real time pricing systems Complex domain modelling and implementation of booking payment, fulfilment and management systems AI-powered solutions to assist customers pre and post booking Best in class, modern user experience through web and More ❯

engineering team you will be accountable for the whole product, and work on Feature ideation, development and measurement Defining, evolving, and applying team processes Developing simplified domain models for the product Maintaining the full stack, from product to payouts Building efficient CI/CD pipelines Optimizing the UX & performance of the product across devices What we're More ❯

closely with the range of teams within the business to bring products to life. 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 … 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. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. Our More ❯

closely with the range of teams within the business to bring products to life. 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 … 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. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. Our 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 ❯

Impact: You’ll lead the 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 for a business that’s empowering small … mindset: you can translate complex 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 Principal Engineer looking to combine hands More ❯

Impact: You’ll lead the 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 for a business that’s empowering small … mindset: you can translate complex 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 Principal Engineer looking to combine hands More ❯

Impact: You'll lead the 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 for a business that's empowering small … mindset: you can translate complex 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 Principal Engineer looking to combine hands More ❯

reviewed conferences and delivered to national security institutes. Complementing this, we design evaluations for model developers across broader safety-relevant fields, including the societal impacts of increasingly capable frontier models, showcasing our expertise across the safety landscape. About the role As a Lead Research Scientist at Faculty, you will be leading scientific research, and other researchers, in the area … agenda, setting priorities and ensuring alignment with Faculty's long-term goals. Conduct and oversee the development of cutting-edge AI safety research, with a focus on large language models and other safety-critical AI systems. Publish high-impact research in leading conferences and journals (e.g., NeurIPS, ACL, ICML, ICLR, AAAI). Support Faculty's positioning as a leader … in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other More ❯

prioritize business requirements. Data Analysis: Analyze data to identify data quality issues, anomalies, and gaps. Work with data teams to define data requirements and ensure accurate data ingestion. Domain Data Modeling: Understand the Fund owner's data, analyze data integrity, and create foundational domain data model for consumption. Functional Documentation: Understand data consumption aspects by different More ❯

with supplier integration systems that process data. Participating in the development and maintenance of search and recommendation systems. Working on components of real-time pricing systems. Contributing to domain modeling and the implementation of booking, payment, fulfillment, and management systems. Supporting the development of AI-powered solutions. Helping to build and maintain modern user experiences through web and 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. Engineering Partnership Collaborate with and mentor engineers on system architecture, CI/CD workflows, and API integrations. Provide technical oversight in data modeling, system scaling, availability … 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. Engineering Partnership Collaborate with and mentor engineers on system architecture, CI/CD workflows, and API integrations. Provide technical oversight in data modeling, system scaling, availability … 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 ❯

test frameworks, collaborating with Data Engineers and Data Analysts on complex problems, or learning and developing our expertise. Data Modelling & SQL Turning raw data into friendly, business-facing data models is at the core of the role of an Analytics Engineer, and like most data teams, we use a combination of SQL and dbt to get this done. As … to be comfortable with dbt and native SQL speakers (at least 1 dialect). Wrangling data into shape should be second nature. It is also vital that our data models can be trusted - so testing and QA is extremely important to us. We're on a test-driven development journey, and our Analytics Engineers are constantly pushing the boundaries … of what is possible when it comes to making sure our data is high quality. In summary, you will: Build data models using SQL and dbt. Optimise for performance and cost across different data warehouses. Demonstrate git best practices for effective version control. Be pragmatic about documentation. Conform and contribute to Tasman's SQL style guidelines. Design and implement More ❯

competitions and consumer promotions. Role: Lead full-lifecycle data science projects within the Competitions domain — from discovery and modelling to deployment and business adoption. Design and implement models to forecast participation, optimise pricing and prize strategies, and segment audiences based on engagement patterns. Work closely with stakeholders in Consumer Promotions, Revenue Management, and Legal to ensure models … junior data scientists, and contribute to the wider data science capability across the business. Write clean, well-documented Python and SQL code, and collaborate with engineering teams to productionise models effectively. What We’re Looking For 3+ years in applied data science roles, ideally with a strong commercial and product focus. Proven experience using data science to influence behaviour More ❯

competitions and consumer promotions. Role: Lead full-lifecycle data science projects within the Competitions domain — from discovery and modelling to deployment and business adoption. Design and implement models to forecast participation, optimise pricing and prize strategies, and segment audiences based on engagement patterns. Work closely with stakeholders in Consumer Promotions, Revenue Management, and Legal to ensure models … junior data scientists, and contribute to the wider data science capability across the business. Write clean, well-documented Python and SQL code, and collaborate with engineering teams to productionise models effectively. What We’re Looking For 3+ years in applied data science roles, ideally with a strong commercial and product focus. Proven experience using data science to influence behaviour More ❯