51 to 75 of 155 Domain Models Jobs in the UK

+ 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 … independently and as a part of a team. Adept problem solver with a flair for logical and lateral thinking. Experience of conceptual and logical data modelling. Knowledge of Domain Driven Design (DDD) and DAMA. Experience with data analytics, APIs, databases, and related technologies. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function More ❯

own core data pipelines, work on migrating data from our Postgres transactional systems into Clickhouse, and build clean, testable transformations using DBT. You'll help design the underlying data models and define the schemas that power decision-making across the company. This role is a great fit for someone who enjoys writing clean Python and SQL, and is especially … and evolution of analytical schemas, translating business logic into structured, intuitive data models. Migrate and transform data from Postgres into Clickhouse, ensuring performance and reliability. Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams. Implement tests and data quality checks to ensure reliable and trustworthy datasets. Identify and eliminate … Data Engineer or in a similar data-focused role. Strong proficiency in Python and SQL. Hands-on experience with relational databases, especially Postgres. Experience designing schemas and building data models that reflect real-world business domains. Familiarity with DBT or similar transformation frameworks is highly desirable. Strong understanding of data quality, validation, and testing practices. Bonus Familiarity with cloud More ❯

you'll do We have lots of difficult design challenges to solve. The UK utilities market is complicated, outdated and process-heavy - there's an awful lot of domain modelling that we need to get right. Strong attention to detail is essential. Help build and scale the Kraken utilities team by embedding an engineering, problem solving, and customer … of millions of meter readings a day. We need the right technology in place to handle this smoothly as well as feeding data into a machine learning pipeline that models and predicts consumption. Or thinking about how we adapt Kraken to improve other utilities like water and broadband. There's a great opportunity for disruption in the UK water … We're looking for someone with a general interest in technology and problem-solving; someone diligent and thoughtful. Experience with the following: Python Django (or equiv. web framework) Domain modelling HTTP and REST APIs Writing robust and fault-tolerant software Celery and async processing Postgres Plus experience in the following would be a bonus: AWS Terraform, Packer, Consul More ❯

limited to time series, and using Python as the primary programming language. Some of your responsibilities will include: Using our Agentic AI framework to build data science solutions and models, using our platform on client-supplied data sets and use cases. Collaborating directly with business stakeholders to integrate domain knowledge into the modelling process, demonstrating how insights 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 Senior Research Scientist at Faculty you will contribute to Faculty's success by performing novel scientific research … Safety-relevant research topics Technical Contributions: Lead technical research within the AI Safety space; some examples of AI safety research we've worked on include developing novel attacks against models, fine-tuning models for additional safety (e.g. knowledge unlearning), increasing self-consistency of language models and uncertainty estimation. Support the delivery of evaluations and red-teaming projects … 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 ❯

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 ❯

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 ❯

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 ❯

problem-solving; someone diligent and thoughtful. It would be helpful to have experience/expertise in the following (in rough priority order): Python Django (or equiv. web framework) Domain modelling GraphQL Writing robust and fault-tolerant software Celery and async processing Postgres Plus experience in the following would be a bonus: AWS React and Redux Our process usually 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 ❯

own core data pipelines, work on migrating data from our Postgres transactional systems into Clickhouse, and build clean, testable transformations using DBT. You'll help design the underlying data models and define the schemas that power decision-making across the company. This role is a great fit for someone who enjoys writing clean Python and SQL, and is especially … and evolution of analytical schemas, translating business logic into structured, intuitive data models. Migrate and transform data from Postgres into Clickhouse, ensuring performance and reliability. Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams. Implement tests and data quality checks to ensure reliable and trustworthy datasets. Identify and eliminate … Data Engineer or in a similar data-focused role. Strong proficiency in Python and SQL. Hands-on experience with relational databases, especially Postgres. Experience designing schemas and building data models that reflect real-world business domains. Familiarity with DBT or similar transformation frameworks is highly desirable. Strong understanding of data quality, validation, and testing practices. Bonus Familiarity with cloud More ❯

wide technology strategy, ensuring its alignment with business objectives and the successful delivery of critical technology capabilities. Role Accountabilities: Take responsibility for creating the delivery roadmaps for the domain within specific projects or programmes. Driving delivery of the domain across projects and programmes aligned to a delivery roadmap. Financial & Resource Management within the Infrastructure and Operational … deliver the activity. Stakeholder Engagement & Communication, to ensure that the project is effectively planned, and lands successfully in the business. Take responsibility for the delivery & execution of the domain, in collaboration with the domain lead, and within the governance of relevant projects and programmes. Governance & Risk Management Partner Contract, Legal & Regulatory Compliance, Review & Performance Monitoring Team … in connection with the overall Bakkavor situation/environment. Recognised project management certification e.g PRINCE2, AgilePM, PMP, MSP, PMI, PMQ. Broad and deep understanding of domain delivery models e.g. For SAP, Activate methodology. Experience in deploying technology in similar industries to Bakkavor e.g. manufacturing, engineering, wholesale, consumer products, food. Drives results, effects, convinces and inspires by own More ❯

to evolve, covering people, processes, technology, and data Leading business process modelling efforts to map complex processes at multiple levels and align them to future-state solutions Applying domain modelling to identify key concepts, entities, and relationships essential for solution design Conducting systems analysis by reviewing and documenting business functions, rules, data flows, and integrations Leading requirements engineering … or product settings Familiarity with agile principles and experience working in cross-functional product teams Strong business, systems, and data analysis expertise Demonstrated experience across business process modelling, domain modelling, systems analysis, requirements engineering, and vendor evaluation A naturally curious and proactive mindset, comfortable leading analysis efforts and working independently High attention to detail, ensuring accuracy and completeness 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 ❯

diagnostic and troubleshooting skills Current Microsoft Certified IT Professional (MCITP) or equivalent industry standard accreditation Significant technical experience of successfully delivering complex installations (multi domain, multi site models) Delivered project integration work with industry standard wireless and switched networking technologies Recognised as a product specialist possessing in-depth knowledge within a Field-based environment (e.g., MS Exchange More ❯