1 to 25 of 384 Permanent Use Case Jobs in England

customer journeys that create long‐term, recurring revenue for Acuity. Design compelling engagement models that move clients from strategy and use‐case envisioning through PoCs, MVPs and scaled product engineering, and into ongoing managed services where appropriate. Shape delivery journeys that intelligently leverage onshore, nearshore and offshore … data platforms, and related technologies. You don’t need to be a hands-on data scientist, but you should grasp AI use-case envisioning, data governance considerations, and the principles of deploying AI at enterprise scale (e.g. AI factory/centre of excellence approaches). Familiarity with ...

enterprise Data & AI strategy aligned to the sponsor’s value-creation plan and management priorities. Translate business goals into a quantified use-case roadmap with benefits cases, milestones, and owners. Establish KPI reporting tied to realised outcomes (not “activity metrics”). Data Platform & Architecture Lead the evolution … manufacturing, supply chain, logistics, FMCG/CPG, food production, or adjacent asset-heavy sectors. Demonstrable ability to create a prioritised AI use case portfolio, deliver at pace, and embed solutions operationally. Strong grasp of modern data stack principles (cloud data platforms, integration, governance, MDM, analytics engineering, MLOps ...

coverage Design, develop, and tune detection use cases and correlation rules to improve threat visibility Perform detection engineering , including use case lifecycle management and continuous improvement Provide ongoing maintenance and administration of the QRadar platform Lead or support upgrades, patching, and system enhancements , ensuring minimal … reviews Deep understanding of log source integration , parsing (DSM), and normalization Experience in detection engineering , including rule creation, tuning, and threat use case development Solid knowledge of SIEM operations, including maintenance and troubleshooting Experience performing QRadar upgrades and patching Familiarity with security frameworks (e.g., MITRE ...

VMware by Broadcom Portfolio, having engaged with enterprise customers to evangelise, design and implement solutions based on the customer’s specific use case and requirements in the areas of: Understanding the customer landscape and then designing or feeding into solutions that meet the customers’ underlying business objectives … products or technologies. You should have engaged with customers to evangelise, design, and implement solutions based on the customer’s specific use case and requirements. The position requires high quality and in-depth technical knowledge along with strong communication skills. You should be able to lead ...

support Wholesale business operations. The role will work closely with business stakeholders, data analysts, and technology teams to shape, define, and deliver analytics use cases across the bank. Governance and Committee Memberships Contribute to relevant governance forums, working groups, and project steering committees as required Support reporting into ...

Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases.* Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric.* Migration & Transformation: Experience ...

lakehouse structures, including dimensional models and medallion architectures. You'll ensure data is structured effectively for analytics, reporting, and future AI-driven use cases. The role also involves managing the full project lifecycle , from design through to deployment and support, implementing CI/CD pipelines, maintaining documentation ...

with data scientists to productionise models, pipelines, and analytical workflows. Designing data models, pipelines, and query strategies to support performant analytics and reporting use cases. Ensuring data quality, integrity, and observability across systems. Delivery & Engineering Excellence Taking ownership of features from design through to deployment and ongoing iteration. ...

with data scientists to productionise models, pipelines, and analytical workflows. Designing data models, pipelines, and query strategies to support performant analytics and reporting use cases. Ensuring data quality, integrity, and observability across systems. Delivery & Engineering Excellence Taking ownership of features from design through to deployment and ongoing iteration. ...

solutions. Implement and integrate large language models (LLMs) , including: Utilising both proprietary and open-source models Fine-tuning models to meet specific business use cases Delivering solutions via APIs, such as OpenAI APIs Collaborate closely with product managers, data scientists, and engineering peers to shape technical designs ...

guide junior and senior data scientists, fostering a high-performance, collaborative team environment Model Development & Deployment Develop and deploy machine learning models for use cases such as: Fraud detection Credit risk modeling Customer segmentation and personalization Forecasting and optimization Ensure models are scalable, explainable, and production-ready Work ...

Analytics & Data Science Implement dimensional models that provide clean, well-structured, reusable datasets for reporting, scenario modelling, and emerging ML/AI use cases. Monitoring, Reliability & Operations Implement and maintain monitoring, alerting, logging, and cost-management processes for Snowflake and data pipelines to ensure a stable and well ...

products. Working closely with analysts, developers, and business stakeholders, you will build and extend a medallion architecture that underpins reporting, analytics, and downstream use cases. A key focus of the role will be embedding strong data quality controls and supporting clear data quality exception reporting to improve transparency ...

engineering, enabling scalable, secure, and automated migration and ingestion of enterprise data. Building a foundation for enabling scalable machine learning and AI-driven use cases (MLOps) is the ultimate goal. Key Responsibilities · Own and evolve the AWS/CDP architecture for data migration, ingestion, feature engineering and downstream ...

data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling ...

preferred; Azure or GCP equally welcome. Familiarity with GDPR, consent management and data governance in a marketing context. Exposure to AI/ML use cases applied to customer data — personalisation models, churn prediction, LTV, next-best-action decisioning. Why this role matters This client ...

other vendor platforms. Assess current workplace environments and identify opportunities for AI driven productivity, automation, and experience improvement. Design and implement AI use cases, including intelligent assistants, workflow automation, knowledge retrieval, and predictive insights. Drive adoption and change management, including training, communications, and user readiness activities. Establish governance ...

ready datasets Working closely with data architects, analysts, and non-technical stakeholders Creating well-modelled datasets to support Power BI and wider analytics use cases Improving data quality, validation, monitoring, and performance Ensuring data is handled securely and in line with GDPR and best practice Helping ...

across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience ...

automated, and scalable delivery of data and machine learning pipelines, supporting everything from core reporting and systems integration through to customer-facing AI use cases. You will work closely with Data Engineering, ML Engineering, and Analytics teams, acting as both a hands-on technical leader and strategic enabler. ...

enterprise level Design scalable solutions across cloud ecosystems (AWS, Azure, GCP) Lead implementation of MLOps frameworks and model lifecycle management Architect advanced AI use cases (NLP, LLMs, Agentic AI) Drive best practice across data governance, modelling, and platform design Engage with senior stakeholders to translate business needs into ...

Data & Integration team, translating business requirements into data and integration solutions Elicit, document, and prioritise business requirements, data needs, and integration use cases Work with data engineers and architects to shape solutions across data pipelines, integrations, and reporting layers Analyse datasets to identify patterns, trends, and insights ...

enterprise data warehouse design methodologies, including Inmon, Kimball, and Data Vault 2.0, with strong judgement on selecting the appropriate approach for each use case. Technical Skills Expert‐level SQL and Python, with hands‐on experience using dbt (data build tool) or comparable transformation and orchestration frameworks. Cloud ...

Proven experience designing and delivering complex system integrations (APIs, middleware, events). Solid understanding of data models, data quality, identity management, and activation use cases. Strong understanding of Salesforce security, sharing model, governance, and best practices. Professional Skills: Excellent written and verbal communication skills, with the ability ...

Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You will set technical direction, drive standards, and ensure high-quality execution across the team. You’ll join at a pivotal stage ...