26 to 50 of 58 Use Case Jobs in Central London

deliver secure cloud solutions, including: Designing secure cloud architectures for public, private and hybrid cloud environments Developing cloud security strategies and enterprise security use cases Creating security reference architectures and governance models Supporting the design and deployment of secure cloud infrastructure Embedding security throughout the cloud lifecycle using ...

that materially improve how the business operates. This is a hands-on delivery role — not advisory. You’ll operate across: AI use case discovery in live business processes Design of LLM/agent-based workflows (Claude/OpenAI ecosystem) Rapid prototyping through to production deployment Integration into ...

Senior Director, Strategic Solutions to lead defence sector engagements, selling into Ministry of Defence and related agencies. You will develop high-value AI use cases and roadmaps, aligning customer goals with C3 AI capabilities. Travel up to 50% as needed. The ideal candidate has a proven track record ...

London seeks a Director/Senior Director of Strategic Solutions to lead high-value AI use-case sales and roadmaps. You will engage with C-suite, shape transformation strategies, and drive cross-functional collaboration across sales, engineering, products, and marketing. Ideal candidates have SaaS/product sales ...

company We are an early stage company building agentic AI and knowledge graph infrastructure for enterprise use cases, with a particular focus on regulated industries such as pharma and financial services. Our platform helps organisations navigate complex, interconnected data and automate sophisticated workflows using multi-agent AI systems. ...

technical artefacts that improve product and platform quality. Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases — not just one-off fixes. Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term systemic improvement. Build relationships ...

main platform and introduce delivery pipelines so experiments feed durable, well-engineered products while reducing outages. Turn proprietary data into high-value AI use cases for agents, dashboards, knowledge retrieval and secure staff tooling that change how work gets done. Embed platform security, data protection and risk management ...

workflows that automate complex tax and finance processes. Partner with Tax SMEs to identify, prioritise and build a pipeline of automation and AI use cases. Use data engineering and automation techniques to reduce manual processing and improve operational efficiency. Support the development and implementation … enabled solutions, including LLM-based tools, Claude use cases and Agentic AI capabilities. Help the Tax function understand how AI can be practically and responsibly applied to enhance processes and decision-making. Build controlled, auditable solutions within a regulated financial services environment. Source, cleanse, validate and reconcile data ...

enablement across Microsoft 365 Copilot, Google Workspace AI, and other vendor platforms, driving adoption and ensuring governance. You will assess environments, design AI use cases, and partner with vendors to integrate AI into #J-18808-Ljbffr ...

Security Model - Security groups, Domain Security, Segment-based security Validating Security in the Build Enterprise Interface Builder (EIB) Building & Troubleshooting Adaptability & Building New Use Cases Talk about how you would approach this, build new skills & resources you would use. In return you will receive a competitive basic salary ...

sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm. At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems … within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision‐making and emerging AI use cases. Role Summary As a Data Engineer, Lakehouse and AI Data Platform , you will design, build, test and support data pipelines and curated datasets ...

data definitions and data lineage. Ensure the canonical model supports downstream capabilities including validations, reporting, reconciliation, automated processing, analytics and future AI-enabled use cases. Work with Solution Architects and Data Engineers to ensure the model is implementable within AWS and Databricks architecture. Data Analysis, Requirements and Quality … level, member-level and movement-based reporting. Support automated report data models for PDF, Excel, dashboards and client self-service outputs. Support reconciliation use cases by defining movement, current-position and exception-based data requirements. Support automation use cases by identifying data needed to populate operational ...

individual who can bridge the gap between investment professionals and AI-enabled solutions. The role will involve: Identifying and implementing practical AI use cases across investment and operational functions. Working closely with Portfolio Managers and Investment Analysts to enhance research, idea generation and decision-making processes. Helping shape … firm’s broader AI strategy and long-term roadmap. Promoting the responsible, secure and effective use of AI technologies across the organisation. Building, testing and deploying AI-driven tools and workflows. Acting as an internal advisor and educator to support adoption across the business. Our client currently utilises ...

commercial negotiations with C-suite Managing and mentoring cross-functional commercial teams Collaborating with technical teams to translate complex data concepts into innovative use cases that solve real-world client problems ...

lifecycle for our clients. Key Responsibilities Embeds Shift Left & AI-Assisted Quality Practice by engaging in quality discussions during requirements and design phases, test case generation and risk identification to prevent defects before development begins. This allows for testing the idea before it becomes code. Executes Intelligent Exploratory Testing … Lambda, GKE) Agentic AI Exposure: Experience or strong interest in: Autonomous testing agents AI-driven test orchestration Prompt engineering for QA use cases AI Tooling Ecosystem: Familiarity with tools/platforms such as: LLMs (e.g., GPT-based tools) AI test platforms (e.g., self-healing frameworks, intelligent test optimisation ...

solutions with enterprise data sources, systems and APIs Establish security, governance and compliance standards for rapid AI development, ensuring data protection and responsible use Design AI architectures with clear pathways to production scaling, documenting trade-offs and technical decisions Mentor engineers and developers through architectural guidance, reviews … best-practice sharing Build architectural knowledge across multiple domains to support diverse use cases and enterprise contexts Align solutions with established enterprise standards and architectural principles Essential Skills for the AI Solutions Architect: Strong expertise in Python and JavaScript Hands-on experience with backend frameworks and modern frontend ...

e.g. summarising workshops, identifying gaps, generating follow-up questions). Translate requirements into clear functional specifications, user stories, acceptance criteria, workflow diagrams, and use cases, using AI tools to improve structure, completeness, and speed of delivery. Collaborate closely with engineering, QA, UX, and architecture teams throughout the product … customer workflows, and business rules to inform product decisions. Lead Agile ceremonies such as backlog refinement, sprint planning, sprint reviews, and product demos. Use AI to support backlog refinement by suggesting story breakdowns, identifying edge cases, and highlighting dependencies Validate product functionality, support testing cycles, and ensure delivered ...

take ownership of redesigning departmental workflows, using AI to automate complex tasks and drive operational efficiency Competently able to Identify high-impact AI use cases and implement advanced prompting techniques to solve multi-layered business challenges We’re building a place where everyone truly feels they belong. Even … part of one of The Sunday Times Best Companies to Work For 2026! As a flexible-first employer, we use a "best of both" approach. We’ll see you in our London office to collaborate – with barista coffee and subsidised Just Eat lunches on us! Our Circler Proposition ...

with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases. Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating … techniques. Familiarity with compute infrastructure necessary to support operating AI and ML technology. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice. California residents, please review the California Privacy ...

overall Whatfix product portfolio and the competitive landscape Understand and study Whatfix deployments across industries and develop industry best practices and use cases based on our current deployments Self-driven interest to learn more about customer's business, digital transformation trends in their industry, and presenting a thought … Sales Engineering/Solutions Consulting experience Ability to study existing deployments across industries like Insurance, Technology, Financial Services, Healthcare and to communicate the use cases and results to new prospects from these industries. Background in understanding existing deployments across applications like CRM (Salesforce, Microsoft), HR (Workday, Oracle ...

solutions with enterprise data sources, systems and APIs Establish security, governance and compliance standards for rapid AI development, ensuring data protection and responsible use Design AI architectures with clear pathways to production scaling, documenting trade‐offs and technical decisions Mentor engineers and developers through architectural guidance, reviews … best‐practice sharing Build architectural knowledge across multiple domains to support diverse use cases and enterprise contexts Align solutions with established enterprise standards and architectural principles Essential Skills for the AI Solutions Architect: Strong expertise in Python and JavaScript Hands‐on experience with backend frameworks and modern frontend ...

journey to revolutionize how insurance risk is accessed, and solutions are delivered to millions of customers globally through the use of cutting‐edge technologies like Generative AI. Over the past year and a half we have successfully delivered highly impactful, enterprise‐wide Generative AI solutions into production. … success to date is fuelling the rapid expansion of use cases across AIG, and by extension, the need for new highly skilled and experienced candidates in the GenAI space to join our team. This is an exceptional opportunity to join a team that is shaping the future ...

around service dependencies Define and document AWS architecture for migration (baseline, target, roadmap, patterns, standards, reference architectures, etc.), supporting a wide range of use cases Run architectural reviews of the platform at appropriate intervals to make best use of vendor technologies Proactively define, optimise, automate, publish … adoption of automation across the platform, using common methods with other platforms Document deployed systems, scripts and working practices to enable re-use and support for users globally About you You'll have experience in many of the following: Cloud migration experience Experience in cloud platform architecture with ...

role: Design and deliver technical learning content across AI, Machine Learning and Data Science — covering Python, ML frameworks, cloud platforms and applied AI use cases Work directly with corporate clients to understand capability gaps and shape tailored, blended learning solutions across virtual and in-person delivery Coach … regular progress reviews with learners, employers and line managers, flagging risk early and planning realistic progression Advise clients and learners on responsible AI use, data governance, ethics and regulatory frameworks Contribute to course and curriculum design based on delivery experience and client feedback, helping keep content current ...

develop high-quality technical training programmes focused on Starburst, Dell Data Lakes, and Data Warehousing architectures. Create engaging learning materials, hands-on labs, workshops, case studies, and practical exercises that support enterprise analytics adoption. Deliver interactive virtual, hybrid, and live training sessions that encourage hands-on learning and knowledge … participation at the centre of every session. Adapt delivery styles for both technical and non-technical audiences using real-world data and AI use cases. Gather learner feedback and performance insights to continuously improve training effectiveness and outcomes. Stay current with emerging technologies across AI, data lakes, data ...