901 to 925 of 1,464 Use Case Jobs in London

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 ...

data governance principles, database structures, data lineage mapping and governance reporting Experience working with customers and users to understand data requirements and use cases Understanding of Agile methodologies to work effectively in product-focused teams Strong problem-solving skills to resolve data quality and process challenges Excellent communication … drive efficiency Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Bachelor's degree in Computer Science, Statistics, Accounting, Finance or a related field Responsibilities Support data improvement initiatives for Structured Finance analytics tools ...

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 ...

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 ...

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. ...

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/ ...

Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases . You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact … PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face Transformers). Agentic AI Systems: Hands-on experience with agentic AI setups including LLM orchestration, tool use/function calling, RAG, agents, prompt engineering, or agentic patterns for enterprise workflows. Production ML/LLMOps: Experience with model deployment, monitoring, MLOps/ ...

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 ...

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. … will be the dedicated customer technical partner, responsible for driving technical enablement and supporting the overall activation and adoption of our customers initial use cases.This is a fantastic opportunity for technical professionals to develop deep expertise in cloud data architecture, make a measurable impact on customer success ...

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 ...

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 ...

What you’ll do Act as a forward-deployed solution architect: partner with EMEA Pods and business groups to identify high-value AI use cases, understand research workflows, and shape practical solution designs. Use lightweight proof-of-concepts selectively to validate value before larger build decisions. ...

right combination of PayPal capabilities across Payouts, RaaS and Crypto, not a single product in isolation, and translate it into a client‐specific business case with quantified value against competitive alternatives. Lead complex, multi‐stakeholder opportunities that require sound judgment and an understanding of current market, regulatory and business … develop or advance. Use sales pipeline, back‐book portfolio data, and product and merchant performance data to prioritize opportunities, build the commercial case, and support pricing decisions, treating data as the basis for prioritization, not a supporting exhibit. Leverage internal and external data to identify growth opportunities ...

design and delivery, working with accountable business and control owners. Lead the product direction and controlled adoption of AI‐supported customer service, agreeing use cases, monitoring, human escalation and fallback arrangements with relevant teams. Guide platform investment and lifecycle decisions, assessing whether to extend, buy, build, consolidate … personal data. We are registered with the Information Commissioner's Office. This Candidate Privacy Notice explains how we and our Group companies collect, use, and protect your personal data during the course of the application and recruitment process. This Notice applies to all job applicants located ...

applications. Generative AI Engineer Role Overview As a Generative AI Engineer, you will work on the development of practical AI solutions that use large language models, retrieval-augmented generation, AI agents, automation, and intelligent search. You will help move AI use cases from prototype into production ...

Main purpose of the role CIFF aims to be more productive, data-driven and operationally agile through responsible use of technology, automation, artificial intelligence and stronger knowledge management. The vision of the Operations team is to: “PROTECT, CONNECT and EMPOWER CIFF and its partners to deliver greater impact … security of our data is a key responsibility. A key component of the role is developing proposals and approaches for the use of technology to protect the organisation, from cyber security infrastructure to programmatic due diligence and monitoring. The role reports to the Chief Administrative Officer and provides ...

maintain efficient and scalable workflows using tools like dbt to transform raw data loaded into our data warehouse (Snowflake) into clean, ready‐to‐use data models. Data Modelling: Implement best‐practice data modelling and software engineering techniques to ensure data structures are optimised for performance, accuracy, and ease … use in reporting and analytical applications (e.g. CI/CD, testing, lineage). Data Quality and Testing: Write comprehensive data quality checks, tests, and monitoring scripts to ensure the accuracy, completeness, and reliability of all transformed data assets. Establish and maintain documentation for all data transformations and models. ...

solutions to improve engineering effectiveness. Building workflows, automations and integrations using APIs, Python and modern AI platforms. Exploring and implementing Agentic AI use cases across internal business functions. Advising on how AI and LLM technologies should be integrated into enterprise architecture. Supporting the safe and responsible use ...

right combination of PayPal capabilities across Payouts, RaaS and Crypto, not a single product in isolation, and translate it into a client-specific business case with quantified value against competitive alternatives.Lead complex, multi-stakeholder opportunities that require sound judgment and an understanding of current market, regulatory and business trends.Carry … opportunities you develop or advance.Use sales pipeline, back-book portfolio data, and product and merchant performance data to prioritize opportunities, build the commercial case, and support pricing decisions, treating data as the basis for prioritization, not a supporting exhibit.Leverage internal and external data to identify growth opportunities and build ...

design and defend a ransomware-recovery, immutability, or identity-resilience architecture under technical scrutiny, and enough range to translate it into a business case an executive buys. This is a pre-sales, solution-architecture, and consultative role, not a hands-on production-engineering seat.HOW YOU’LL SPEND YOUR TIME … CISO, VP of Security, or their architects.Architect reference architectures and lead technical workshops, POCs, and pilots that validate ransomware-recovery and identity-resilience use cases across regulated industries.Build executive-quality technical narratives — solution briefs, architecture diagrams, and business cases specific to the account.Know your accounts' technology footprint ...

native financial operating system for a real-time, intelligent economy. More than 676,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne … align stakeholders around a clear transformation journey. Responsibilities Embed deeply with the global Finance teams, understanding their needs to identify the highest impact use cases Define and own the end-to-end AI transformation roadmap for Finance Own technical delivery from prototype to production Codify working patterns into ...

will be responsible for leading the full AI delivery lifecycle across enterprise transformation programmes. This includes defining AI strategy, identifying high-value use cases, designing governance frameworks, overseeing implementation, and ensuring successful business adoption. The role will suit someone who can combine strategic AI leadership with practical delivery … GenAI delivery programmes from strategy to implementation. Define AI adoption roadmaps, business cases, delivery plans, and governance models. Identify and shape AI use cases across enterprise automation, predictive analytics, document intelligence, compliance monitoring, fraud detection, payments, lending, customer service, and workflow optimisation. Oversee the delivery ...