1,151 to 1,175 of 2,122 Use Case Jobs in the UK

deliver data science and AI solutions, guiding problem definition to production, and coordinate with senior stakeholders to translate complex challenges into actionable business use cases. The role can be based in Belfast or Derry/Londonderry and offers opportunities to grow across a global, diverse practice with extensive ...

/CD, Kubernetes, and cloud technologies (GCP preferred). This role offers the chance to shape platform capabilities and support integration of new use cases. A candidate with experience in large-scale data platforms is preferred. #J-18808-Ljbffr ...

with legal to establish requirements for fairness, transparency, explainability, accountability, and human oversight. Develop practical controls and Responsible AI assessment criteria for AI use cases. Lead Responsible AI reviews for high-risk and business-critical AI solutions - aka AI Steward Conduct assessments for bias, fairness, explainability, safety ...

field feedback to the product, integration, and support teams. Build custom dashboards and automated reports covering key network and business KPIs across multiple use cases. Participate in technical meetings, monitor product performance, and track customer requirements. Prepare and issue technical guidelines and the findings of technical studies. Prepare ...

involving both IT and business decision-makers. You are familiar with Salesforce's product portfolio and how it applies to industrial or operational use cases. You have worked with or alongside advisory or systems integration partners to close complex enterprise deals Company Learn more about this company Visit ...

generating pipeline and winning new enterprise logos. Deep understanding of the Media industry, including streaming, digital video, ad-supported Media, and related technology use cases. Experience selling complex enterprise technology solutions across EMEA. Proven track record of consistently meeting or exceeding new business revenue targets. Demonstrated experience closing ...

oversee quality control. Curate and create commercially compelling product catalogs and lookbooks that enable sales teams to sell across a variety of client use cases. Procurement & Order Management Place orders with partner vendors & track production schedules. Oversee large or complex orders requiring multiple vendors or custom product development. ...

ambitious revenue and growth targets and move quickly to capture market opportunity. Lead the go‐to‐market - Define priority audiences, regions and use cases. Partner with Product, Pricing and Operations to ensure strong product‐market fit and a compelling, localised proposition. Champion the French customer - Be the voice ...

strong understanding of our internal AI tool stack. From there, you’ll act as a trusted advisor—guiding teams on which tools to use for specific use cases, especially when it comes to process automation and intelligent solutions. The role is not just about knowing … when a conditional job offer is made. A conviction does not automatically lead to withdrawal of the offer: we make decisions on a case-by-case basis and take a number of relevant factors into account (e.g. the role you are applying for and the circumstances ...

insight back into the business. What you’ll do Deliver engaging, tailored Plan-Apps MMP demonstrations that respond to each audience, use case and stage of the customer journey. Lead discovery workshops alongside the Change Lead, uncovering customer priorities and translating them into relevant platform use ...

pipelines for auction, inventory, customer, and transaction data.• Develop reusable transformation models and curated datasets in Snowflake and dbt for analytics and operational use cases.• Orchestrate complex dependencies with Airflow, Dagster, or a comparable workflow platform.• Design data models and interfaces that are clear, scalable, and easy … regulated data environments.How success will be measured• Critical pipelines and datasets are reliable, observable, and trusted by their users.• Teams can find and use well-documented data products without unnecessary handoffs.• New analytics and ML use cases move from idea to production faster because the underlying ...

suite of solutions includes market data and subscription spend management, usage management, compliance reporting, and comprehensive managed services, which hundreds of clients worldwide use to remove cumbersome and inaccurate manual processes and gain control over market data and subscription costs at scale. For more than 25 years … reality of running them at scale (DataHub, OpenMetadata, Atlan, Glue Catalog or equivalent). Experience designing data products that feed AI and agentic use cases, such as, vector stores, RAG, embeddings, tool surfaces. Python for data pipeline scripting and orchestration. Exposure to real-time analytics use ...

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 shape scalable systems, solve complex technical problems and turn data into action. In data engineering roles … 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 ...

maturity assessments. Define the high-level target data architecture, technology stack and governance framework. Contribute to data ontology design for AI/analytics use cases and the overall data strategy roadmap. Present findings and recommendations to senior client stakeholders and support stakeholder sign-off. Use Python ...

foundations that make the platform and its Data Products easier to understand, discover, trust, and consume for both traditional analytics and AI-enabled use cases (for example, strengthening semantic consistency, metadata and lineage, data quality signals, and modern consumption patterns) Job responsibilities Provides technical guidance and direction … ready (e.g., consistent meaning and definitions, strong metadata/lineage and quality signals, and consumption patterns that support both analytics and AI-enabled use cases). Drives decisions influencing product design, data product contracts, distribution approaches, and engineering processes to improve time-to-data, reliability, and consumer experience ...

programme, not just in theory ML and AI platform work: feature stores, MLflow, model serving, and the data foundations behind RAG or agentic use cases Regulated-sector exposure financial services, healthcare, public sector and the assurance that comes with it How you work Opinionated but not dogmatic: recommends … says so when a client's preferred tool is the wrong one Comfortable being the only data person in the room and building the case from scratch Writes clearly decision records, options papers and diagrams a client executive can act on Commercially aware: understands utilisation, margin ...

drive measurable value and shape the future of AI adoption in life sciences. Responsibilities Design and implement AI-driven solutions across life sciences use cases such as drug discovery, clinical trial optimization and pharmacovigilance Advise executive stakeholders on AI strategy and translate technical concepts into actionable business outcomes … business teams to tailor solutions to client needs Deploy AI and machine learning models in production environments using established MLOps and LLMOps practices Use cloud platforms and data solutions to ensure scalability and operational integrity Present data-driven recommendations to senior audiences, demonstrating the impact of AI solutions ...

agentic workflow components. Design, build, integrate, deploy, and operate production AI/ML and LLM-based services for legal research, analytics, and content use cases. Implement RAG, semantic search, embeddings‐based retrieval, ranking, summarisation, classification, content enrichment, and citation‐aware AI capabilities where appropriate. Design and implement agentic … Desirable experience with event‐driven architecture, messaging, queues, asynchronous processing, retries, idempotency, and failure handling. Desirable experience with legal content systems, LegalTech, publishing platforms, case law, citation systems, legal research workflows, XML/XSLT, structured content processing, search, ranking, indexing pipelines, or content enrichment. Why Join Us? Join ...

Описание EPAM helps pharmaceutical and life sciences organizations use data, AI, and advanced analytics to transform R&D, clinical, and commercial functions. Its solutions address drug discovery, clinical development, pharmacovigilance, and patient engagement. Задачи Design and implement AI-driven solutions for drug discovery, clinical trial optimization, and pharmacovigilance … clinicians, and business teams to tailor solutions to client needs; Deploy AI and machine learning models in production using MLOps and LLMOps practices; Use cloud platforms and data solutions to ensure scalability and operational integrity; Present data-driven recommendations to senior audiences and demonstrate the impact ...

Work directly with client stakeholders to understand business requirements and translate them into scalable data and AI solutions. Support AI and Generative AI use cases using Oracle AI Services, OCI Generative AI, Vector Search and Oracle Database 23ai (or above) capabilities. Guide development teams and provide hands … managing discrete client engagement Ability to build and maintain relationships with clients. Multiple lifecycle implementations of Oracle AI solutions, including the following phases: business case, requirements gathering, fit/gap analysis, Cloud architecture, design documentation, and deployment. Set Yourself Apart: Confidence in presenting challenging points of view to client ...

Work directly with client stakeholders to understand business requirements and translate them into scalable data and AI solutions. Support AI and Generative AI use cases using Oracle AI Services, OCI Generative AI, Vector Search and Oracle Database 23ai (or above) capabilities. Guide development teams and provide hands … managing discrete client engagement Ability to build and maintain relationships with clients. Multiple lifecycle implementations of Oracle AI solutions, including the following phases: business case, requirements gathering, fit/gap analysis, Cloud architecture, design documentation, and deployment. Set Yourself Apart: Confidence in presenting challenging points of view to client ...

agentic AI. This role combines deep supply chain domain expertise with a practical understanding of digital and AI capabilities to identify high-value use cases, shape transformation roadmaps and support delivery of scalable solutions across planning, procurement, manufacturing, logistics, inventory, fulfilment and customer service.What You'll Be DoingPartner … optimization, and service operations.Evaluate and build business cases by assessing business value, data readiness, process maturity, technology fit, and implementation feasibility for AI use cases.Design AI transformation roadmaps and solutions by translating business requirements into actionable plans and supporting the implementation of AI, Machine Learning, Generative ...

solutions Manage customer engagements from discovery and requirements gathering through technical onboarding, training, feedback collection and completion Conduct workflow assessments to identify customer use cases, business requirements and opportunities for artificial intelligence-enabled improvements Support customers with solution configuration, access, entitlements, application programming interface integrations and technical setup … documentation Provide best-practice and consultative guidance to support stable deployments and effective solution adoption Partner with prospective and existing customers to validate use cases and support strategic commercial opportunities Collaborate with client technical teams and internal subject-matter experts to investigate and resolve product, data, access ...

their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. … within customer environments. You’ll work with the customer as they discover what Falcon NG-SIEM can do for them, help expand their use cases, and provide feedback timely to CrowdStrike Product Management teams. Simultaneously you’ll develop internal relationships to partner with key stakeholders to influence product ...

lifecycle management Develop innovative machine learning solutions, including generative AI and multi‐agent approaches, and define evaluation, safety, and monitoring strategies for production use Own production deployment patterns including containerization, continuous integration and delivery, automated testing, model and prompt registries, model and version governance, monitoring and alerting … influence roadmaps, align on requirements, and deliver data‐led transformations Establish reusable, modular data science and machine learning capabilities that scale across use cases, including feature engineering, evaluation harnesses, prompt tooling patterns, agent frameworks, orchestration, and context and memory management Provide technical leadership and mentorship through code reviews ...