1 to 25 of 434 Remote/Hybrid Use Case Jobs in London

Direct, day‐to‐day client engagement — you are regularly in the room with enterprise clients validating solutions and co‐creating products Use case ownership — you manage specific AI use cases end‐to‐end, from business case through to production and commercial launch Commercial discipline … market research to identify AI‐driven opportunities — translating external signals, client needs, and competitive dynamics into actionable product AI programmes. AI Use Case Development Define, structure, and prioritise AI use cases across the product and sub product portfolio — ensuring each use case ...

Bank scales its use of artificial intelligence across business lines. The role coordinates governance forums, manages AI use case reviews and approvals, maintains policies and standards, supports risk assessment and third-party oversight, and provides clear reporting on governance performance, risks and capacity. … Governance Committee and AI Supervisory Group processes, including schedules, agendas, meeting materials, committee papers, decisions and action follow-up. Manage AI use case reviews and approvals, ensuring submissions are complete and routed to the appropriate reviewers. Draft and maintain committee Terms of Reference and related governance documentation. ...

account executives and solution engineers. Build and maintain the EMEA AI content suite in Smarsheet’s enablement platformHighspot: discovery slides, AI use‐case messaging guides, MCP value narratives, and competitive positioning against regional alternatives. Track enablement adoption through leading indicators including Gong keyword usage, Highspot engagement … market activation for Smartsheet's MCP platform, including multi‐connector capabilities, partner integrations, and agentic workflow positioning. Develop EMEA‐specific MCP use‐case content that connects platform extensibility to the workflow patterns, integration ecosystems, and buyer priorities prevalent in European enterprise environments. Partner with EMEA partner teams ...

account executives and solution engineers. Build and maintain the EMEA AI content suite in Smarsheet's Enablement platformHighspot: discovery slides, AI use-case messaging guides, MCP value narratives, and competitive positioning against regional alternatives. Track enablement adoption through leading indicators including Gong keyword usage, Highspot engagement … market activation for Smartsheet's MCP platform, including multi-connector capabilities, partner integrations, and agentic workflow positioning. Develop EMEA-specific MCP use-case content that connects platform extensibility to the workflow patterns, integration ecosystems, and buyer priorities prevalent in European enterprise environments. Partner with EMEA partner teams ...

This is not a research-only AI role. It is focused on applied AI, client impact and delivery. The role will support AI use cases across finance, reporting, transformation, analytics and operational workflows. The Senior Director will also support business development and origination, working closely with Managing Directors … identify practical AI use cases across finance, reporting, transformation, operations and management decision-making. Lead AI opportunity assessments and use case prioritisation. Size the commercial and operational impact of each use case — quantifying value, effort, risk and time to benefit — and use ...

seeking a hands-on AI Solutions Architect to take end-to-end ownership of AI solution design, from initial use case intake through to architecture, governance approval and delivery. The role is focused on turning high-value business use cases into secure, scalable and production … competitive benefits package, including core benefits such as pension provision. Key Responsibilities Take ownership of AI solutions from initial use case intake through to production deployment, ensuring designs are practical, scalable and aligned to business objectives. Translate business requirements into end-to-end solution architectures aligned ...

across DeepL's broader product surface, turning usage into a reliable, high-quality source of PQLs for the business. Your responsibilities Use case strategy: prioritize the highest-value use cases for media translation, and and build the growth loops and product surface to drive adoption … discovery: design and run growth loops that help users discover and adopt more features and products beyond their initial media translation use case, expanding usage depth and breadth. Cross-functional coordination: Close collaboration with the Marketing team on funnel design, messaging, and PQL feedback loop. Coordination with ...

actually work. Communicate and evangelize AI Governance policy across the client workforce. Support engineers in executing the risk ladder: score each use case once (reversibility, real-world impact, regulatory exposure, auditability) so risk tier decides architecture, testing depth, oversight level and operational monitoring intensity. Lead the thinking … patterns and best practices library. Keep the risk register (models and agents in use) and the firm-wide AI use case register current. Work with the client’s existing risk & compliance team to shift AI Governance policies and processes. Technical skills & experience AI governance — frameworks ...

will integrate AI risk management and assurance activities throughout the end-to-end AI lifecycle (1st line of assurance), from use case selection and design through development, testing, deployment, monitoring, change management, and retirement.WE BUILD TRUSTED AI – You will work closely with product, engineering, data science, security … regulatory complianceAI Governance & Lifecycle Management - Experience embedding governance, risk management and assurance activities across the end-to-end AI lifecycle, from use case selection and design through deployment, monitoring, change management and retirementRisk & Control Assessments - Proven ability to conduct AI risk assessments, impact assessments, control evaluations ...

governance. Optimise security monitoring and response tooling working across technology teams (e.g., SIEM, SOAR, EDR/XDR, NDR, email security) including use‐case coverage, alert quality, automation, logging strategy, and operational runbooks. Own the vulnerability management programme (on‐prem and cloud), including scanning coverage, prioritisation, remediation SLAs … scenarios), ensuring roles, escalation paths, and technical procedures are validated and improved.Own incident response governance: severity model, on‐call and escalation processes, evidence handling, case management, and alignment to legal/regulatory obligations. Define and report cyber defence metrics (e.g., MTTD/MTTR, alert volumes and precision, incident trends ...

governance. Optimise security monitoring and response tooling working across technology teams (e.g., SIEM, SOAR, EDR/XDR, NDR, email security) including use‐case coverage, alert quality, automation, logging strategy, and operational runbooks. Own the vulnerability management programme (on‐prem and cloud), including scanning coverage, prioritisation, remediation SLAs … scenarios), ensuring roles, escalation paths, and technical procedures are validated and improved.Own incident response governance: severity model, on‐call and escalation processes, evidence handling, case management, and alignment to legal/regulatory obligations. Define and report cyber defence metrics (e.g., MTTD/MTTR, alert volumes and precision, incident trends ...

diagnose problems at the Spark and pipeline level, resolve what you can directly, and bring in the right specialists — including Use Case Leads, Data Source Developers, and other technical teams — when deeper domain knowledge is required. Beyond reactive support, you’ll build the documentation, monitoring, and processes … diagnose root causes quickly and accurately. Where issues require deeper domain expertise, elevate effectively to the appropriate internal specialists — including Use Case Leads, Data Source Developers, and technical teams — providing clear context and reproduction steps to enable fast resolution. Build and maintain documentation, runbooks, and FAQs that ...

Data & AI strategy offers, proposal content, client presentations and account growth ideas. Mentor consultants in strategic advisory skills, structured problem solving, executive communication, business case development and benefits-led consulting. Essential experience 8+ years’ experience in Data & AI strategy, digital transformation, technology advisory, business consulting, data-led change … ability to turn ambiguity into clear options, recommendations and decisions. Specialist competencies Data & AI strategy development. Executive advisory and board-level communication. Business case and value case development. Data and AI maturity assessment. Use-case discovery and prioritisation. Benefits realisation and impact measurement. Transformation roadmap ...

discovered, applied and improved across the firm. Working across the Client and Legal Knowledge portfolio, the role will identify, shape and support practical use cases that improve how the firm captures, structures, searches, navigates and reuses trusted knowledge. This includes supporting knowledge products, platforms, enterprise search, intranet journeys … needs into reusable, scalable and practical knowledge solutions. Comfortable working at both conceptual and operational levels - from designing taxonomy, search and use-case principles through to reviewing content, testing user journeys and helping implement improvements. Desirable: Experience in a global law firm or professional services environment. Experience ...

acquisitions, mergers, restructures and account moves should be handled. Create a controlled approach to genuine exceptions without allowing a growing collection of undocumented, case-by-case rules. Ensure hierarchy and mapping decisions are traceable, testable and consistently applied. Syncari and integration ownership You will … intended result. Use native connectors and standard platform capability wherever practical. Challenge whether Syncari is required for a particular use case rather than automatically adding another integration or rule. Source-system controls HubSpot has an existing technical owner, and other systems may have their ...

Experience working with AWS-native data services and event-driven architectures Experience building data products that support analytics, reporting, machine learning, or AI use cases Knowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patterns Experience leading distributed engineering teams Experience establishing engineering standards, reusable frameworks ...

environment of continuous improvement Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Help teams use GenAI effectively across engineering delivery, applying the right practices,controlsand guardrails. Hybrid working with the team on client site or in our office a minimum ...

post-launch validation for complex, high-impact initiatives, ensuring traceability from business objective to delivered feature. Drive AI/ML use case definition — partnering with data scientists and ML engineers to scope feasible AI use cases, define success metrics, and translate model outputs into business … OKRs. Support digital transformation initiatives — identifying opportunities to modernize legacy processes through automation, AI augmentation, and data‐driven decision‐making, and building the business case for change. Uphold risk, ethics, and regulatory discipline — exercising sound judgment in every business decision with particular attention to the firm’s reputation, safeguarding ...

post-launch validation for complex, high-impact initiatives, ensuring traceability from business objective to delivered feature. Drive AI/ML use case definition — partnering with data scientists and ML engineers to scope feasible AI use cases, define success metrics, and translate model outputs into business … OKRs. Support digital transformation initiatives — identifying opportunities to modernize legacy processes through automation, AI augmentation, and data-driven decision-making, and building the business case for change. Uphold risk, ethics, and regulatory discipline — exercising sound judgment in every business decision with particular attention to the firm's reputation, safeguarding ...

Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine Learning About this role We re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across … monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital ...

enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls. As an early-career AI Engineer at NewRocket, you will have … client‐facing consultants to prototype and deliver scalable AI capabilities. You will gain exposure to the full AI solution lifecycle, from use‐case discovery and proof‐of‐concept development through production rollout, evaluation, monitoring, and continuous improvement. Travel to clients and conferences as needed. Key Responsibilities ...

internal technology teams to generate customer and business value. The role is focused on turning emerging AI opportunities into clear product priorities, practical use cases, market‐ready propositions and measurable outcomes. Overview This is a senior product leadership role within the CPO organisation, responsible for shaping and driving … related field. Success measures Clear AI strategy agreed across Product, GTM, Sales, GSC, Engineering and Partner teams. Prioritised AI use‐case portfolio linked to customer value, commercial potential and delivery feasibility. Product Managers actively using the AI strategy to shape roadmap decisions and customer propositions. Validated ...

expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies.Accelerating impact with AI by enabling proof of value through prototypes and by translating complex AI concepts ...

roadmaps for clinical operations decision analytics that align with study and portfolio goals. Work with clinical operations leads to identify high‐impact use cases and measure the value of analytics interventions. Build robust predictive models and operational metrics that are explainable and actionable for non‐technical stakeholders. Drive ...

roadmaps for clinical operations decision analytics that align with study and portfolio goals.- Work with clinical operations leads to identify high-impact use cases and measure the value of analytics interventions.- Build robust predictive models and operational metrics that are explainable and actionable for non-technical stakeholders.- Drive ...