226 to 250 of 1,861 Use Case Jobs in England

Experience designing agentic workflows and reasoning strategies, with hands‐on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute ...

Stakeholdern und dem Entwicklungsteam sowie Übersetzung komplexer geschäftlicher Anforderungen in klare User Stories und Akzeptanzkriterien. Steuerung der End-to-End-Umsetzung von Data Use Cases – von der Ideenfindung und Anforderungsaufnahme über Entwicklung und Testing bis hin zur Bereitstellung auf unserer Datenplattform (Databricks, Azure). Enge Zusammenarbeit ...

Stakeholdern und dem Entwicklungsteam sowie Übersetzung komplexer geschäftlicher Anforderungen in klare User Stories und Akzeptanzkriterien. Steuerung der End-to-End-Umsetzung von Data Use Cases – von der Ideenfindung und Anforderungsaufnahme über Entwicklung und Testing bis hin zur Bereitstellung auf unserer Datenplattform (Databricks, Azure). Enge Zusammenarbeit ...

Delivering solutions using the latest GenAI and Agentic Frameworks, such as ADK, Langgraph, Microsoft Agent Framework, Llamaindex and other* Translating AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars* Leading multi-disciplinary teams to execute complex requirements* Architecting ...

develop AI-powered prototypes, proof-of-concepts and product solutions . Apply Generative AI, LLMs, RAG and prompt engineering to real-world use cases. Evaluate and integrate AI platforms, tools, APIs and cloud technologies. Contribute across the full product engineering lifecycle , from discovery and technical design through ...

develop AI-powered prototypes, proof-of-concepts and product solutions . Apply Generative AI, LLMs, RAG and prompt engineering to real-world use cases. Evaluate and integrate AI platforms, tools, APIs and cloud technologies. Contribute across the full product engineering lifecycle , from discovery and technical design through ...

data lake and lakehouse architectures. Work alongside AI/ML teams to provide data platforms supporting Generative AI, machine learning and advanced analytics use cases. Implement appropriate data quality, governance, security and monitoring standards. Troubleshoot complex data-processing and distributed-system issues within production environments. Essential Experience 5+ ...

Augmented Generation) architectures that ground LLM outputs in Comply’s proprietary data. Evaluate and integrate LLM tooling and frameworks appropriate to Comply’s use cases. Build reliable, observable data pipelines that feed the semantic layer from upstream broker and regulatory data sources. Apply DataOps practices including testing, monitoring ...

complex data science initiatives from problem definition through modelling, validation and implementation. Build predictive and machine learning solutions across priority customer and commercial use cases. Apply advanced statistical techniques to uncover behaviour, patterns and commercial opportunity. Design rigorous experiments and measurement approaches that reveal genuine incremental impact. ...

will shape and deliver AI solutions for real-world business problems, spanning traditional machine learning, rigorous data science and practical Gen AI use cases. You will work with a small, highly capable AI team, collaborating with data engineers, consultants, technical leads and senior client stakeholders to deliver meaningful ...

Model (LLM), Generative AI, and Agentic AI solutions in production environments. Develop and manage multi-agent workflows to support complex business and clinical use cases. Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP). Design and develop scalable AI services and data processing solutions ...

Model (LLM), Generative AI, and Agentic AI solutions in production environments. Develop and manage multi-agent workflows to support complex business and clinical use cases. Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP). Design and develop scalable AI services and data processing solutions ...

test ideas and de‐risk delivery. Explore emerging AI capabilities—including Salesforce Einstein and Agentforce—to enhance productivity and client engagement, delivering practical use cases. Take part in code reviews and knowledge‐sharing to support the technical capability of the team. The knowledge, experience and qualifications you need ...

solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible ...

risk evaluation Generative AI & Applied Research Apply and adapt state‐of‐the‐art techniques in NLP, embeddings, and generative AI to production use cases. Evaluate and integrate emerging technologies into the team’s roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Domain & Research ...

risk evaluation Generative AI & Applied Research Apply and adapt state-of-the-art techniques in NLP, embeddings, and generative AI to production use cases. Evaluate and integrate emerging technologies into the team’s roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Domain & Research ...

Journey: Your First 90 Days 30-days: You will build a strong understanding of the ICIS data portfolio, data channels and customer use cases. You will shadow discovery calls, customer workshops and technical discussions to understand how organisations consume and operationalise market intelligence within their business workflows. ...

develop opportunities within large customer accounts, complex enterprises to expand Alation’s footprint across data cataloging, governance, data quality, and AI-driven use cases. Lead consultative, multi-threaded sales cycles that often involve C-level stakeholders, technical teams, and AI transformation leaders. Generate new logo pipeline in tier ...

required to engage in discussions regarding solution architecture and implementation details with a client’s Principal Engineers and Data Scientists. AI use case leadership: You will work with client management and Artefact teams to identify and prioritise the AI use cases that create genuine differential … lead their development end to end, from ideation through to deployment and continuous improvement. You will build and maintain a library of use cases and solution sets that can be reused and adapted across the wider client base. Data and analytics capability building: You will assess clients' current ...

improving reliability, scalability, and ease of maintenance. AI/ML Model Development Develop, train, and evaluate machine learning models that address core FinOps use cases: cost anomaly detection, spend forecasting, workload rightsizing recommendations, and commitment coverage optimization. Implement and maintain MLOps pipelines for model versioning, automated retraining, performance … committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications. Applicant AI Use Disclosure We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence ...

relevant data ingestion. Parse and analyse custom log formats to extract relevant information for SIEM Develop, test, and deploy advanced threat detection use cases, and common infrastructure attack patterns. Translate threat intelligence and vulnerability insights into actionable detection rules. Continuously review and refine existing detection rules to minimize … Alto, FortiGate, switches, Firewalls, remote access solutions, and VPNs. In-depth experience with SIEM tools with a strategic oversight on appropriate use case methodologies. Implementation of robust security monitoring use cases and Threat hunting capabilities. Relevant industry certifications (e.g. ...

business rules, reference data, retention)Contribute to and consume business glossaries, ontologies and data catalogues to ensure consistent terminology and understandingHelp ensure AI use cases comply with data privacy, security and regulatory requirements (e.g. GDPR, sector specific rules),Translate business needs into requirements for AI/analytics solutions … topic/requirement, analyse the impact and provide solutionsAbility to assimilate information quickly and provide recommendation to support informed decision-makingAbility to use own initiative to resolve issues/investigate and find solutionsExcellent verbal, written and presentation communication skillsExperience in working with cross-region teams and projectsAbility ...

part of the growing Data Science capability within the Data Practice, you will work on Machine Learning, Predictive Analytics and Applied AI use cases that help clients move beyond traditional reporting towards evidence-led, AI-enabled decision making. You will work alongside data engineers, data architects, platform specialists … technical documentation where required. Platform Enablement Work with Data Engineering and Architecture teams to access, prepare and validate data for machine learning workloads. Use platforms such as Snowflake, Databricks and Microsoft Fabric where appropriate for data preparation, experimentation and deployment support. Follow good engineering practices for version control ...

technical audiences. Design and implement robust data models and ETL/ELT patterns that support enterprise reporting, analytics, machine learning and AI use cases. Optimise data pipelines and workloads for performance, reliability, scalability and cost, identifying engineering risks and implementing appropriate mitigations. Embed security, governance, lineage, access control … warehouse or lakehouse platform (e.g., Databricks, Snowflake, BigQuery, Redshift). Strong understanding of data modelling principles for analytics, reporting, machine learning and AI use cases. Experience applying modern engineering practices, including CI/CD, automated testing, infrastructure-as-code and data observability. Knowledge of cloud-native security, governance ...

across over 4,000 journals and 50,000 books. Researchers, clinicians, students and institutions around the world rely on it to find and use trusted, peer-reviewed science. We are a data-driven, mission-driven, customer-focused team who are passionate about building solutions that solve our users … lead its delivery with engineering, from discovery through to launch, selecting the right delivery mechanism (APIs, agent connectors, etc) for each use case Lead customer discovery and controlled pilots to validate machine-to‐machine use cases and value exchange, turning what we learn into requirements ...