951 to 975 of 1,056 Data Modelling Jobs in the UK

train, post-train, and evaluate the LLMs at the core of our platform. This is hands-on modern model training work: large-scale data pipelines, SFT/RLHF/DPO-style alignment, reward models, distributed multi-GPU training, and evaluation. About us White Circle is an AI Safety company … preprocessing/normalization, embeddings at scale, indexing, and retrieval to make the corpus searchable and analyzable. Use LLMs pragmatically: labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of inbound volumes (with cost/quality controls). Deliver insights that change decisions: translate findings into product ...

customise Teamcenter efficiently Identifying and proposing optimisations of existing Teamcenter customisation Ability to understand and teach design & quality standards for Teamcenter customisation whilst ensuring data governance and industry compliance, subject to a customer’s exacting requirements. Your profile Minimum of 10 years’ experience preferred working with Teamcenter. Technical knowledge … Teamcenter UA Products such as Engineering Data Management, BOM Management Workflow, BOM Management, Change Management, Active workspace configuration and Customisation, Teamcenter architecture and Data Model configuration. Knowledge of other Teamcenter capabilities such as Quality Management, Easyplan, Shop Floor Connect, would also be of benefit. Skills in mapping business ...

creating automated financial crime quality controls in just a few weeks, our engineering projects are varied. Youll collaborate on a product team with Data Scientists, Analysts, Engineers, Product Owners, and Operations Managers to deliver the most value to our customers. Up to shape what's next in finance … touch. What youll be doing Building APIs and jobs and data pipelines, making sure they're properly designed and scaled according to business needs Writing event consumers to build data models for new flows and processes What you'll need 5+ years of experience as a Software Engineer ...

solutions are scalable, secure, performant, and aligned with company standards and best practices.Key Responsibilities: Drive specific areas of the architecture solution, including solution design, data architecture, security patterns, and integration patterns Collaborate with senior architects and cross-functional team members on complex architectural challenges Create and maintain architectural diagrams … engage diverse stakeholders Collaboration: Proven ability to work effectively in multi-disciplinary agile teams Desirable Experience defining solution architectures, including component design and data modeling Familiarity with NHS interoperability standards (FHIR, HL7, NHS API standards) Understanding of security principles including authentication, authorization, and data protection Experience with ...

Database Administrator (DBA) Reading | Hybrid | Permanent Help shape the data platform behind a mission-critical technology solution. We're looking for an experienced Database Administrator to take ownership of a complex, high-availability database environment that supports a sophisticated operational software platform. This is an opportunity to join … innovative engineering team where reliability, performance and automation are central to delivering cutting-edge technology. Working closely with software engineers, platform specialists and data teams, you'll ensure the database layer remains secure, resilient and highly optimised while supporting the continued evolution of a growing product. Key Responsibilities ...

event-driven systems in AWS Proven production experience integrating or fine-tuning LLM/GenAI solutions (OpenAI, Bedrock, or similar) Deep knowledge of Jira data model, webhooks, and REST/GraphQL APIs Strong grasp of security for SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest ...

supported by appropriate Salesforce certifications. Hands-on experience with Salesforce Marketing Cloud products such as Journey Builder, Email Studio, Personalisation (Interaction Studio), Intelligence and Data Cloud. The ability to ensure that Marketing Cloud solutions are architecturally sound, well designed, a good technical fit and of the required quality. Experience … with Marketing Cloud integrations, data models, segmentation, personalisation and customer journey orchestration. Effective people and mentoring skills with the confidence to lead a team of skilled developers/consultants. Excellent verbal and written communication skills, with the ability to engage technical and non-technical stakeholders. Experience and capacity ...

technical guidance and leadership to project teams and developers in planning the overall architecture of the ServiceNow implementation i.e. designing the system architecture, defining data models, and establishing integration patterns with other systems and platforms. Ensure that the system design and configurations meet the governance and compliance requirements, such … data security, access controls, and regulatory compliance. Conduct technical reviews, troubleshoot issues, and ensure solutions are robust, secure, and scalable. Stay updated on ServiceNow platform capabilities and emerging technologies to recommend improvements and innovations. Essential Skills Expertise in ServiceNow platform architecture, including module configuration, development, and integration. Proficiency ...

Power Apps and Power Automate flows Build simple to moderately complex Power Apps (forms, approvals, workflow-driven apps) Assist with Dataverse or SharePoint-based data models Apply basic Power Platform governance controls: environments, permissions, DLP policies Work with business teams to translate requirements into practical low-code solutions Copilot … Modern Workplace Support Microsoft 365 Copilot readiness: permissions hygiene, data exposure awareness, configuration checks Help evaluate early use cases for Copilot Studio and Copilot Agents Create guidance and documentation to support safe and effective Copilot usage Act as a technical point of contact for Copilot questions across the business ...

Design large-scale agentic AI architectures: LLM document processing, structured extraction, RAG, invoice-to-contract matching Own low-level design decisions, including API design, data models and service boundaries Set and drive technical processes: engineering standards, security practices, including pen testing, SDLC ownership Work across the full stack, from … front end through back end to ML/AI and data Whiteboard solutions directly with senior business stakeholders and translate requirements into build Mentor engineers and squad tech leads to understand and deliver on the architecture Shape MLOps routes to live, CI/CD and generative AI abstraction layers ...

crypto transactions card spends Optimize list sources for sanctions, PEP and adverse media aligned with Ebury’s different compliance frameworks and risk appetite. Use data and research to identify pain points, improve fuzziness scores. Leverage AI to improve screening precision, including risk-based matching, prioritization and alert scoring, suppression … duplication strategies. Partner with first line and second line operational and compliance teams to ensure controls are effective, explainable, audit‐ready. Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning models, but you must ...

scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised … Want to push the limit of digital possibilities? Start here. The company Engineers are innovators and problem‐solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast‐paced global environment. Transaction Banking ...

scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised … Want to push the limit of digital possibilities? Start here. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Transaction Banking ...

managing the information security operation and safeguarding all our assets. Our core functions encompass Enterprise & Technical Architecture, Network & Voice, Infrastructure, Service Delivery, Service Operations, Data & Analytics, Security & Quality Compliance, Transformation, Application Development, Enterprise Platforms, With a dedicated team of over 500 staff, Product & Technology ensures a strong presence across … development tools and agentic workflows as part of daily engineering practice Contributing to architecture and technical design decisions, particularly around platform modernisation and data model evolution Writing clean, well-tested, production-ready code as a daily practice Owning the security, reliability, and operation of the services you build, with ...

payment rails (i.e. stablecoins ), tackling fraud is becoming a critical part of our strategy. You will be working closely with Operations, Compliance, Engineering, Data and Security teams. This is a unique opportunity to make a significant impact on our security posture, drive innovation, and work at the forefront … crypto to crypto transactions, card spends, internal processes and customer journeys Partner with operational and compliance teams to ensure controls are effective. Partner with Data Science teams on predictive AI models for customers journeys and transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning ...

working with a modern technology stack including: Front‐End: Angular, TypeScript, HTML5, CSS, Angular NativeScript Back‐End: C#, Entity Framework Core, LINQ Data: SQL Server, T‐SQL DevOps & Infrastructure: Bicep templates Testing: Unit testing frameworks Key Responsibilities Design Contributing to development planning and technical design Designing scalable and maintainable … architectural decisions and technical direction Software Development Developing Angular pages and components Building and extending C# middle‐tier APIs Working with SQL Server and data models Managing build and deployment processes using Azure DevOps Maintaining high coding standards, performance, and security Supporting the evolution of RiskProof and related systems ...

engineering agenda: building on Honeycomb and OpenTelemetry, driving instrumentation across a globally distributed microservices estate, and partnering directly with development teams to turn telemetry data into better, faster software.**About the team**This role sits within the Observability team, part of IG’s broader SRE and Platform Engineering function. … evolve IG’s Honeycomb-centric observability platform, ensuring it is reliable, scalable, and fit for a complex, globally distributed trading environment.* Define platform standards, data models, and integration patterns for telemetry collection, storage, and querying across the estate.**Instrumentation and telemetry*** Drive OpenTelemetry adoption across engineering teams, providing hands ...

engineering agenda: building on Honeycomb and OpenTelemetry, driving instrumentation across a globally distributed microservices estate, and partnering directly with development teams to turn telemetry data into better, faster software. About the team This role sits within the Observability team, part of IG's broader SRE and Platform Engineering function. … evolve IG’s Honeycomb-centric observability platform, ensuring it is reliable, scalable, and fit for a complex, globally distributed trading environment. Define platform standards, data models, and integration patterns for telemetry collection, storage, and querying across the estate. Instrumentation and telemetry – Drive OpenTelemetry adoption across engineering teams, providing hands ...

enduring products, aligned to business strategy, domain roadmaps and enterprise architecture intent. Owns material architectural decisions within the domain, including technology selection, integration patterns, data flows and non‐functional trade‐offs. Ensures solutions are delivery‐feasible, operationally viable and economically sound, aligning modern engineering practices with enterprise constraints. Architectural … cost-benefit analysis; ability to analyze the purpose and scope of a producer, product, process, or project in terms of cost and benefits. Data Modeling Leverages advanced data tools and programming techniques to analyze highly complex data sets. Applies mathematical models, database and programming languages to accelerate ...

founders and early engineering team to build production software for grid operators. This is a broad software engineering role spanning backend systems, frontend products, data-intensive applications, cloud infrastructure and applied AI. You will help turn complex engineering workflows into reliable, intuitive software used by planners, operators and engineers. … architecture and engineering culture from an early stage. Responsibilities Build and ship production software across backend services, frontend applications and cloud infrastructure. Design APIs, data models and product interfaces for complex, data-heavy workflows. Develop tools for loading, validating, comparing, visualising and explaining technical datasets. Build reliable systems ...

Citigroup Inc. is seeking a Lead Funds Data Architect to bridge business needs with technical funds data solutions. You will design data strategies and architectures for Fund accounting, Fund Administration, ETFs, IBOR, and ABOR, ensuring governance and regulatory alignment. You will lead data modeling, lineage … metadata strategies, collaborate with engineering teams, and enable reporting for regulatory filings and client statements in a complex financial data environment. #J-18808-Ljbffr ...

Following our acquisition of Statsig, we now offer one of the most comprehensive experimentation and product analytics platforms on the market. As an Customer Data Scientist, you will combine deep experimentation expertise, applied statistics, and customer-facing technical consulting to help some of the world's most sophisticated product … statistical rigor, and experimentation infrastructure, helping customers solve complex challenges while influencing the future direction of the company and Statsig platforms. As an Customer Data Scientist, you will: Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept. Partner directly with ...

Principal Data Modeller - Snowflake Location: Bristol (Hybrid Working) Job Type: Permanent, Full-Time Salary: £95,000 + Bonus, PHC, pension The Role: A Financial Services Business in Bristol are looking for a Principal Data Modeller to define, own, and evolve the enterprise data model within a complex … data-driven organisation. This is a high-impact, senior individual contributor role responsible fo... LFWQ1_UKTJ ...

Amend, maintain, and enhance existing SSRS reports hosted on SQL Server, ensuring accuracy, performance, and fitness for business use. Troubleshoot and resolve report defects, data discrepancies, and performance issues in a timely manner. Manage report deployment, scheduling, and subscriptions within the SSRS environment. Support the migration of existing SSRS … reports and underlying data sources from SQL Server to Redshift, including query conversion, data source reconfiguration, and testing. Validate migrated reports against existing outputs to confirm data accuracy and consistency post-migration. Document report specifications, changes, and migration decisions to maintain a clear audit trail. Liaise with ...

platform to support a major integration programme. Key Responsibilities Design, implement and maintain integration solutions with a primary focus on Rio EPR, ensuring seamless data flow between Rio and other clinical and corporate systems. Configure and develop Rio EPR interfaces, including patient administration, community, mental health and scheduling modules … them into Rio-centric technical designs. Develop and manage interfaces between Rio EPR and other key NHS systems such as PAS, LIS, clinical systems, data warehouses and third party applications. Troubleshoot and resolve Rio EPR integration issues, including interface errors, data mapping problems and message failures, ensuring minimal ...