1,276 to 1,300 of 2,053 Use Case Jobs in England

implement the Chief MLRO’s vision for a more data-driven FCP function. The role will in turn defined FCP ideas, priorities and use cases into live dashboards, integrated datasets, data-driven risk assessments and working AI-enabled solutions. Working closely with the Chief MLRO and FCP Functional … requirements and work with data owners to resolve them. Artificial Intelligence and Automation Translate the Chief MLRO’s AI vision, ideas and prioritised use cases into a practical technical delivery roadmap, architecture and implementation plan. Provide constructive technical challenge on feasibility, data, design, security, controls and scalability, while ...

governed data and AI foundation for finance. AI-augmented, intelligent finance. You own the design of the AI and machine-learning use cases that make planning better — predictive forecasting, anomaly detection, automated variance analysis, AI-generated commentary and agentic planning workflows among them — and the human … foundation for finance; a track record of data, analytics or AI-enabled finance solutions, including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud ...

innovation, collaboration, and engineering excellence. Job Responsibilities Contribute to technology and architecture patterns that enable AI solutions across Markets Operations and software engineering use cases Build and enhance robust, scalable, reusable AI services and supporting infrastructure using modern technologies Collaborate with AI and data science specialists to design … operations, markets, or enterprise technology Demonstrate familiarity with Markets Operations processes such as trade lifecycle, post‐trade operations, reconciliations, controls, or exception management Use AWS and tools such as MLflow Develop front‐end capabilities with React or modern front‐end development Apply graph database modeling concepts Why Join ...

agents and APIs, with human review wherever decisions affect people, monitor live automations with alerting, error handling, logging and runbooks, and prototype AI use cases on people processes, productionising the ones that prove their worth. Implement configuration changes across the HR tech stack (workflows, fields, roles and permissions … access controls, retention rules and audit trails for employee data. Provide clear enablement materials in Notion so the People team and managers can use our systems confidently, with strong tier-1 support via a bot. What We're Looking For Experience in data engineering, analytics engineering ...

someone who enjoys solving difficult modelling problems but is equally interested in what happens afterwards: how a model gets into production, how people use it, what we learn from it and whether it actually improves performance. Responsibilities Commercial & Decision Science: Work with the Director of Data Science … work is prioritised. Scalable Data Science Products: Guide the development of reusable models and methodologies that can scale across products, verticals and use cases rather than repeatedly solving the same problems. You'll take work from experimentation through adoption, ensuring outputs are measurable, explainable and designed around ...

seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. … data warehousing, data lakes, and lake house architectures. Proven ability to discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises. Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), and familiarity with open-source frameworks such ...

London/United Kingdom Your impact begins here As AI Scientist Specialist, you will turn scientific questions into AI methods that scientists can use and trust. You will build on existing work, start new initiatives and take proofs of concept and minimum viable products towards reliable operational use. … needs into clearly defined technical problems, practical AI approaches and measurable outcomes. Design, develop and evaluate machine learning and AI methods for scientific use cases, including Generative AI and NLP where relevant. Build reproducible experiments, evaluate model performance and run error analysis to assess quality, accuracy and robustness. ...

regular part of the job. The role regularly evaluates and demonstrates Alteryx capabilities for AI-driven workflows and AI/ML use cases. Its broader focus also includes analytics, automation, cloud platforms, and technical sales.## Full descriptionMeet the Moment with AlteryxWe're living through a once … opportunity strategy for complex deals.• While the primary emphasis is on new logo acquisition, support expansion opportunities within existing customers by identifying additional use cases, mapping customer pain points to Alteryx capabilities, and helping account teams drive broader platform adoption where appropriate.• Stay current on Alteryx products, competitive ...

conclusions using appropriate formats, including data visualisations and reports* Support architecture and technical delivery teams to ensure data products meet business requirements* Use **agile delivery methodologies**, leveraging **Azure DevOps** to manage user stories, tasks, dependencies, risks, and issues* Perform end-to-end analytical activities including data discovery, profiling … multidisciplinary teams*** Proven ability to analyse complex business processes and identify data gaps using structured techniques (e.g. As-Is/To-Be, swimlanes, use cases, decision modelling)* Strong experience performing end-to-end analytical work, including data discovery, validation, analysis, and communication* Working knowledge of **SQL**, sufficient ...

Management) Business Analyst acts as a key bridge between the Business and IT by translating Business needs into detailed requirements and technology-enabled use cases. They develop a deep understanding of the opportunities, risks, and issues facing the Business, and advise on how technology solutions can be used … addressed by technology. Experience in analysing business challenges using structured frameworks and methodologies. Strong analytical and problem-solving skills for developing technology-enabled use cases and analysing Business needs. Experience in modelling system processes; knowledge of common notational standards is beneficial (e.g., BPMN). Able to design ...

Management) Business Analyst acts as a key bridge between the Business and IT by translating Business needs into detailed requirements and technology-enabled use cases. They develop a deep understanding of the opportunities, risks, and issues facing the Business, and advise on how technology solutions can be used … addressed by technology. Experience in analysing business challenges using structured frameworks and methodologies. Strong analytical and problem-solving skills for developing technology-enabled use cases and analysing Business needs. Experience in modelling system processes; knowledge of common notational standards is beneficial (e.g., BPMN). Able to design ...

beauty industry with one mission: to empower everyone, everywhere to look and feel like the most confident version of themselves. With oureasy‐to‐use,easy‐to‐choose,easy‐to‐gifticons,we’vebecome one of the mosttalked‐aboutbeauty brands on the planet - and the magic is only growing. Today … using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack. Building andmaintainingproduction ML pipelines and services for non-GenAI use cases (e.g.recommendersystems, customer segmentation models,marketing optimisation modules,leveragingsupervised,unsupervisedand/or econometric modelling approaches). Developing APIs and microservices for AI/ ...

spreadsheet chain, from budget and forecast variance to driver analysis and profitability, and you design it for the finance people who will use it. AI on the platform. This is where financial data turns into decisions: predictive forecasting, anomaly detection, AI-generated commentary and agentic workflows, with … data model; finance analytics and reporting, including semantic and metrics-layer design; exposure to AI-enabled solutions such as predictive forecasting and agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, with some exposure to Python or ML platforms (deep engineering isn't required ...

industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies … you. What You Will Do Own the technical architecture of the AI/ML platform: the service and API surface our customers use to run models and agents against their own scientific data, and that Applied AI and data engineering teams build against internally. ...

Create current‐state and target‐state architectures, architecture decision records, integration patterns, data flows, trust boundaries, deployment views and technical roadmaps. Decompose business use cases into agents, tools, workflows, data products, APIs, human approval points and operational controls. Make and defend platform choices across Cowork, Autopilots, Copilot Studio … confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. Prior to finalizing your application, you will be asked to provide personal information across several dimensions ...

development of scalable, secure, cost-effective and high-performing data solutions that enable business intelligence, advanced analytics, data science and AI-driven use cases.The successful candidate will translate business requirements into robust data architecture, establish architectural standards and best practices, and guide engineering teams in building modern cloud … cost-effective Snowflake architectures, covering data ingestion, transformation, modelling, performance optimisation, workload management, data sharing and integration to support enterprise analytics and AI use cases.Cloud-Native & Distributed Systems: Deep expertise in microservices, domain-driven design (DDD), bounded contexts, data ownership, event-driven integration, eventual consistency and distributed transactions.Event ...

role As a Data Engineer at Tecknuovo, you will design, build and maintain reliable data solutions that enable our customers to make better use of their data. Working as part of multidisciplinary delivery teams, you will turn complex requirements into scalable data pipelines, platforms and integrations that … engineering judgement to performance, scalability, security and maintainability. Develop effective data models that make data accessible and usable for analytics, reporting and operational use cases. Embed data quality, validation, monitoring and observability so issues can be identified and resolved quickly. Apply strong software engineering practices, including version control ...

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 … have: Bachelor’s degree in Engineering, or a related technical field. Nice to have: Experience building platforms that serve both B2B and B2B2C use cases. What success looks like Screening controls that scale across products, volumes, and geographies. Measurable reduction in false positives without increased regulatory risk. High ...

contributing to Figma plugins, design validation tools, or workflow extensions. Experience building AI agents, assistants, or plugins for design, engineering, content, or localisation use cases. Experience influencing product quality earlier in the lifecycle through design review and engineering collaboration. Familiarity with multilingual product development, translation workflows, or international … information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive ...

will package it for the Data Analysis team in Engineering, who turn it into robust product software. You will work with real customer use cases and wafer data from Applications Development, and proof-of-concept data from R&D. We are an AI-first team, so you will … use AI tools every day, while checking carefully what they produce. If your passion is speed, evidence and finding out what the data can really tell you, we’d love to hear from you. What you’ll be doing Generate synthetic data, and build and maintain the demo ...

provide benefits. Provide a technical perspective on how challenging the solutions would be to build and maintain to inform decisions on prioritisation of use cases. Analyze, map, and define requirements for specific use cases. Partner with the PSD functions to evaluate the value and scalability … implement all solutions in line with Roche's defined AI standards, including Human‐in‐the‐Loop design, ethical AI principles, and the use of approved technology only. Maintain strong awareness of data privacy and GxP requirements given the sensitivity of working within a pharma R&D environment, ensuring ...

successful delivery of platform capabilities.* Help define the platform capabilities, data foundations, customer experiences, and workflows required to support multiple products and future use cases.* Identify opportunities to use AI, data, and modern platform capabilities to transform customer workflows and decision-making.* Bring customer insight, market … formal authority. + Partner with Commercial, Marketing, Operations, and customer-facing teams on launch, enablement, adoption, and go-to-market plans. + Use customer research, product analytics, adoption data, support insights, and commercial results to assess performance and guide future investment. + Connect product decisions to measurable customer ...

This role will focus on building strong technical relationships with existing customers, driving adoption, identifying opportunities for expansion, and helping organizations scale their use of Blitzy across engineering teams. You will work directly with CTOs, engineering leaders, and technical stakeholders at mid-market and enterprise companies to understand … their evolving business needs, optimize their use of Blitzy, and uncover opportunities for additional use cases, upselling, and revenue growth. This is a highly technical, customer-facing role with a strong commercial focus. You will serve as a trusted technical advisor throughout the post-sale customer ...

timeline. Drive early adoption, set KPIs and success metrics, and apply best practices that help customers realize fast time to value. Advocate customer use cases to product development, and stay current on Braze's platform capabilities, including technical enablement such as Decisioning Studio training. Continually improve delivery … fair and transparent candidate experience. To help our recruitment teams focus on what matters most — the person behind each application — we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials ...

Solutions & Automation Identify and deliver high‐value AI and automation use cases across the HR lifecycle — intelligent onboarding, workflow automation, AI‐assisted case triage, talent insights, and conversational self‐service. Architect and implement AI capabilities within Oracle HCM Cloud, Eightfold’s talent intelligence platform, and ServiceNow HRSD. … automation solutions within HR systems. Experience with digital assistants or AI‐driven employee experience platforms is a plus. Experience with ServiceNow HRSD, including case management, virtual agent, and HR service delivery configuration. Experience leading or mentoring small technical teams, including integration engineers and developers. Preferred Hands‐on experience with ...