8 of 8 Domain Models Jobs in the UK excluding London

at all levels Desirable Skills and Experience TOGAF Practitioner certification ITIL certification Experience with architecture tools such as Orbus iServer and MS Visio. Domain Driven Design, Modelling - Relationships, topologies, Sequence Diagrams, UML, ArchiMate etc. Understanding of Automation, testing and development pipelines Practical knowledge of Agile, DevOps, CI/ More ❯

user-friendly interfaces. Design and implement easy-to-use and intuitive user interfaces. Develop and use relevant industry standards and domain information models to satisfy functional and non-functional requirements. Ensure compliance with mandated standards and guidelines. Propose new technical architectures and solutions to improve and enhance … development lifecycle with ability to learn and adapt to new technologies quickly. Deep knowledge of designing enterprise-scale applications using distributed, micro services, Domain Driven Design (DDD), event-driven, and cloud native architectures. Experience in designing and modernizing legacy systems. Strong understanding of software architecture principles and patterns. More ❯

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 … 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 More ❯

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 … 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 More ❯

days onsite, 2 days remote. You will be leveraging your analytical skills and programming experience to extract insights from complex datasets, develop predictive models and support decision making. KEY RESPONSIBILITIES Data Analysis & Modelling: -Analyse large, complex datasets to identify trends, patterns, and actionable insights. -Develop, implement, and optimize machine … learning models to solve business problems. -Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: -Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. -Design and develop ETL pipelines and workflows for data preprocessing. -Develop automated tests to validate the processes … and models you create. Collaboration & Communication: -Collaborate with stakeholders to define project goals, requirements, and deliverables. -Actively participate in design meetings to help shape the solutions that the team delivers -Present findings and recommendations to technical and non-technical audiences. -Acquire domain knowledge to inform modelling opportunities More ❯

data strategy and driving the development of advanced analytics solutions. Your primary responsibility will be to harness the power of data to build predictive models, extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have … Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable insights … start to finish of every project. Data Strategy and Model Governance: Collaborate with cross-functional teams to execute the company's data strategy. Ensure models are fair, explainable and in compliance with relevant regulations and policies. Project Management Manage and deliver projects on time, to high standards. Agile ways More ❯

enhance existing reporting through Power BI, implementing strong BI development processes including peer review, testing, and controlled release. Develop business domain semantic models that provide stakeholders with self-service capability. Collaborate with the wider Data, Analytics & Insight team and business stakeholders to ensure data is well-defined … consistent delivery of key insights. What We're Looking For: Proven experience in building and maintaining reliable, scalable Power BI dashboards, reports, and semantic models, with deep expertise in Power BI and strong proficiency in SQL. Solid understanding of data modelling and data warehouse principles, with preferred hands-on More ❯

best of both worlds: flexibility and collaboration. How youll support us As a modeller within the team, you will have the autonomy to develop models, add new features into the countermeasure software, and solving customer challenges and requirements. This is a rapidly growing team, allowing for career development opportunities … across a variety of real-world scenarios, culminating in delivery to customers for use in operation. Your experience developing either deterministic, stochastic, or exploratory models will help optimise countermeasure parameters for best performance against specific threats. Essential experience Degree in a STEM subject ideally in Mathematics, physics or electronics … Infra-Red system operation Mentoring of junior team members Interest in new technologies and their application within an EW domain Deployment of models to batch running hardware Our non-negotiables: Due to the highly secure nature of the projects that you will be involved with, you must More ❯