451 to 475 of 1,459 Use Case Jobs in London

effective evaluation plan. Lead legal workflow discovery with partners, associates, PSLs, paralegals, and innovation teams to uncover pain points and identify high-impact use cases. Deliver tailored product demonstrations , workshops, and stakeholder sessions that resonate with specific practice groups and transaction types. Design and run pilot programmes (scope ...

complex solution sales, working with product specialists to ensure that TT’s product suite is able to cover the prospect’s use case and requirements. Suggesting solutions/workarounds to meet these requirements. Working closely with other regional sales teams, contributing to global opportunities Building and maintaining ...

discovery conversation. You ask about the business process before the API, and you can tell the difference between a use case and a job to be done. You get real leverage out of coding agents. Our customers expect the first working version in days, not sprints ...

within CIB Data & Analytics. You will design, build, deploy, and operate production-grade AI services that are secure, scalable, and reusable across Wholesale use cases. The role emphasizes MLOps pipelines, observability, and collaboration with data scientists, platform teams and governance stakeholders to ensure compliant, end-to-end delivery. ...

Experience Strong commercial experience with Microsoft Sentinel . Advanced KQL development and detection engineering expertise. Experience designing, building and tuning analytics rules and use cases. Security Operations Centre (SOC) delivery experience. Azure security and remediation experience. Experience working within complex or multi-tenant environments. Proven ability to lead ...

PyTorch-based models trained and served on GPU.Adapt, fine-tune and evaluate open-source embedding and ranking models for our catalog and use cases.Own evaluation end to end: offline metrics, A/B experiments, and making sure offline gains show up online.Work with ML, data and backend engineers ...

service, providing critical feedback to improve and automate monitoring and response Strong collaboration with the team to develop knowledge base, playbook and use cases. Proactive initiatives and project-related support by providing subject matter expertise Ability to work independently as well as collaborate with different teams to assess ...

capabilities.Ensure the platform enables high‐quality, timely, and controlled custody data delivery across internal consumers, client‐facing channels, and downstream reporting and regulatory use cases.Act as a senior product authority, balancing client demand, regulatory requirements, risk considerations, and technical feasibility.Drive alignment across multiple product teams and delivery streams ...

Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. Driving consistent “playbook” style deployments for common models and use cases. Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them ...

make architecture decisions under real production constraints, debug complex integrations and workflows, and build solutions that can scale beyond a single customer or use case. You'll operate autonomously, defining the right technical approach with limited guidance, building trusted relationships with users, and feeding what you learn directly ...

Responsibilities: Work directly with customers on technical discovery, onboarding, integration, and deployment. Build prototypes, integrations, tooling, and reference implementations to unblock customer use cases. Translate customer requirements and field feedback into clear product and engineering priorities. Support complex workloads across compute, storage, networking, Kubernetes, identity, and platform services. ...

improvements and resolve complex issues. Work with partners to drive adoption of the latest technical specification and identify opportunities for new features and use cases. Contribute to documentation, tooling and scalable processes that improve the experience for all partners. Help shape and scale how Technical Account Management operates ...

navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog! Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities ...

navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog! Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities ...

discovery with engineers and executives, build demos that land, design and run workshops and proofs of concept, and make the technical case for Exa against alternatives. When a deal needs specialist depth, you pull in our Forward Deployed Engineers. When a deal closes, you hand the customer … technical side of new opportunities alongside Account Executives, from first call through technical win Run discovery to understand a prospect's use case, architecture, data needs, and success criteria, and qualify where Exa fits Build and deliver tailored demos , sample apps, and prototypes that show what ...

rationalise hundreds of duplicated reports into the core tens that matter; enable genuine stakeholder self‐service; and champion meaningful generative and agentic AI use cases across the business. This is a strategic and hands‐on leadership role. You will combine data architecture, engineering, analytics, AI, governance, product thinking … balancing near‐term business value with sustainable platform development. Translate business priorities into a focused portfolio of data products, analytics capabilities and AI use cases with clear ownership, outcomes and measures of value. Develop investment cases and provide transparent executive reporting on delivery, adoption, risk, cost and benefits. ...

will sit at the intersection of technology, domain expertise, client need and commercial value, bringing the discipline of product management to AI: validating use cases and their commercial potential, setting measurable outcomes, shaping the roadmap and driving delivery through to a successful launch, while making sure the products … internal stakeholders to gather feedback, validate concepts and features, and test willingness to adopt and pay. Commercial Viability & Go-to-Market Build the business case for each AI product, covering target market, value proposition, pricing and packaging, revenue potential and cost to serve (including model inference and infrastructure costs ...

product and process data from R&D through CMC into commercial by shaping how that data is modelled, integrated and exposed for use in downstream systems and analytics. The job holder works with product teams, R&D partners and manufacturing technology teams to define practical strategies for connecting … data and systems (including the use of ontologies, knowledge graphs, integrations and AI where appropriate), enabling more seamless reuse of product and process knowledge across platforms. They also help define and operate the technical foundations (data pipelines, integrations, environments and deployments) needed to run these digital ...

structure to ambiguous data problems, validate source-to-target decisions, and ensure that data products are grounded in real reporting, analytical and operational use cases.Responsibilities:Substantial experience in a senior data analyst, data-focused business analyst or comparable role.Profile pricing, delegated authority and exposure data sources to understand … structure, completeness, quality, lineage and suitability for reporting and analytics.Analyse conceptual, logical and physical data models against agreed business, reporting and analytical use cases, including data grain, relationships, definitions and business rules.Own detailed source-to-target mapping, documenting source fields, target fields, transformations, derivations, reference data, assumptions ...

structure to ambiguous data problems, validate source-to-target decisions, and ensure that data products are grounded in real reporting, analytical and operational use cases. Responsibilities Substantial experience in a senior data analyst, data-focused business analyst or comparable role. Profile pricing, delegated authority and exposure data sources … structure, completeness, quality, lineage and suitability for reporting and analytics. Analyse conceptual, logical and physical data models against agreed business, reporting and analytical use cases, including data grain, relationships, definitions and business rules. Own detailed source-to-target mapping, documenting source fields, target fields, transformations, derivations, reference data ...

engineering solutions across cloud, on-premise, and hybrid environments under the guidance of senior team members. Assist in modelling and structuring data for use in analytics, reporting, and business intelligence, while gaining exposure to machine learning and compliance use cases. Help ingest, clean, and consolidate data … based on performance and company targets Professional Development Up to £1,000 annual training budget (access to additional training and development budget via business case) Up to 5 days annual training leave 1 professional membership paid annually Up to £200 of additional IT budget for new joiners Perks Free ...

more ownership of projects. Production experience is welcome but not required; what matters is a genuine interest in how models get into operational use and stay healthy once they are there. The holder will also spend time with commercial underwriters and Actuarial, learning how each class operates … looking for solid Python, sound ML and statistical foundations, and good data analysis skills. Familiarity with software engineering practice, cloud ML (Azure in our case) and MLOps is a plus, and the team will invest in developing these through pairing, code review and hands-on project work.# **Duties ...

pricing, define scope, and present compelling proposals and orals to client executives. AI & Data Solution Design: Identify, scope, and champion high-value AI use cases across the insurance value chain, such as Generative AI for claims triage and underwriting submission intake, document intelligence, fraud detection, pricing and risk … analytics, Generative AI, agentic AI, and data technologies, as well as insurance market trends, regulation (e.g., FCA, PRA, Consumer Duty), and InsurTech developments. Use this knowledge to articulate the value and competitive advantages of our offerings. Cross-functional Collaboration: Partner with sales, marketing, product, solution architecture, delivery ...

curiosity, experimentation, and measurable innovation across teams. What We Offer: AI-forward innovation culture – The opportunity to champion responsible AI adoption, identify practical use cases, drive proofs of concept, and help teams translate experimentation into repeatable, trusted ways of working that create measurable business value Continuous learning … architecture AI adoption leadership – Experience championing AI, generative AI, intelligent automation, or developer productivity tooling in an engineering organization; ability to identify practical use cases, define guardrails, coach peers, measure outcomes, and scale successful practices across teams Leadership trajectory – Experience in principal engineer, tech lead, or architect roles ...

implement AI copilots and agentic AI solutions that assist users, automate multi-step tasks and orchestrate calls to internal tools and systems.Translate business use cases into Copilot scenarios, prompt flows, connectors and agent behaviours, defining secure, scalable solution architectures.Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation … Microsoft 365 Copilot extensions, Azure OpenAI-based copilots, custom AI assistants/agents).Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit-learn, pandas, NumPy).Proven experience integrating AI services with enterprise systems via APIs ...