1 to 25 of 65 Permanent Use Case Jobs in the North of England

opportunities. Documentation – Produce clear documentation to support delivery, troubleshooting, and continuous improvement. Automation Planning – Contribute to automation roadmaps, threat modelling, and use case development. Pre-Sales Support – Assist with demos, scoping, and proof-of-value activities where required. Core Duties Automation Design & Development Build and maintain workflows … Knowledge Security orchestration and automation principles Scripting and integration patterns (APIs, webhooks) SOC detection and response workflows Threat intelligence integration and use case design Cloud and identity security concepts Multi-tenant automation design Certifications Essential: Hands-on experience with Palo Alto XSOAR Desirable: Palo Alto Networks Certified ...

solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing ...

solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing ...

defining transformations for data from across the bank to optimise the data for Compliance and Financial Crime Risk Contribute to prioritisation of use cases based on risk, value and feasibility. Manage the inventory, capacity, development and security of the Compliance data lake Support Product Owners to ensure effective ...

Stakeholder Leadership: Clear communication of AI concepts, senior stakeholder engagement, and leadership of cross‐functional AI initiatives. Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services. Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real ...

initiatives. Rather than building technical solutions, you will work closely with stakeholders across multiple business units to understand business challenges, uncover opportunities, define use cases, and drive successful adoption of AI technologies. You will act as the bridge between business stakeholders and technical teams, ensuring AI initiatives … relationships with business leaders and end users. Act as a trusted advisor on Microsoft Copilot and AI enablement initiatives. Business Analysis & Use Case Development Gather, analyse and document business requirements, workflows and use cases. Translate business challenges into measurable AI opportunities. Identify where Microsoft Copilot ...

teams in adopting Datacore safely and consistently across their development of new data products and services Defining reusable implementation patterns for common Datacore use cases, including ingestion, medallion architecture, data quality, orchestration, semantic modelling and publication Defining and promoting controlled engineering practices across Datacore assets, including source control ...

Stakeholder Leadership: Clear communication of AI concepts, senior stakeholder engagement, and leadership of cross‐functional AI initiatives. Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services. Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real ...

without loss of fidelity or operational continuity Architecting real‐time and near‐real‐time data pipelines for sportsbook and in‐play use cases – odds feeds, market events, bet placement streams, and settlement pipelines – where latency and correctness are non‐negotiable Designing and enforcing data integrity frameworks across betting ...

without loss of fidelity or operational continuity Architecting real‐time and near‐real‐time data pipelines for sportsbook and in‐play use cases – odds feeds, market events, bet placement streams, and settlement pipelines – where latency and correctness are non‐negotiable Designing and enforcing data integrity frameworks across betting ...

ingest, cleanse, transform, and curate data from multiple source systems. Build and optimise data warehouse structures that support reporting, insights, and AI use cases. Develop scalable data solutions using Databricks, SQL, Python, and Azure data technologies. Create and maintain high-quality datasets, semantic models, and data products ...

modelling standards and security best practice. Reducing technical debt and ensuring high availability and stability of data systems. Supporting a wide range of use cases from automated reporting through to machine learning‐driven products. Translating complex insight into clear recommendations that influence trading, strategy and product decisions. Identifying ...

modelling standards and security best practice. Reducing technical debt and ensuring high availability and stability of data systems. Supporting a wide range of use cases from automated reporting through to machine learning-driven products. Translating complex insight into clear recommendations that influence trading, strategy and product decisions. Identifying ...

Develop scalable knowledge architectures that combine structured and unstructured information from multiple sources. Choose the most appropriate storage and retrieval approach for different use cases, including document stores, graph databases, vector databases and traditional data platforms. Model complex business domains to improve retrieval quality and contextual understanding. Design ...

data and AI consultancy in central Manchester. The business designs, builds and manages enterprise-grade data platforms, productised on Snowflake, plus the AI use cases built on top. The opportunity The company is adding a technical seat to its go-to-market team. Working alongside the customer success ...

Capabilities Working knowledge of Azure AI services and how they can be applied to customer solutions. Ability to advise customers on practical AI use cases, risks, and governance considerations. Understanding of how AI capabilities integrate into cloud‐native and DevOps‐led architectures. Experience using AI‐assisted tools responsibly ...

practical, delivery-ready data structures and design artefacts. Profiling and analysing source data using SQL to understand quality, completeness and suitability for analytical use cases. Creating source-to-target mappings, transformation documentation, data flow diagrams and lineage views. Working collaboratively within cross-functional Analytics Design Squads alongside Business ...

science projects from the initial problem through to production. That will include: Working with stakeholders to turn business problems into clear data science use cases. Exploring and preparing complex datasets. Building, testing and evaluating machine learning models. Using techniques such as regression, classification, clustering and forecasting. Writing clean ...

data architecture – strong understanding of how applications produce and consume data, designing platforms that serve application needs efficiently across real‐time and batch use cases. Large‐scale platform delivery – track record of delivering large‐scale data platforms for high‐volume B2C software businesses, preferably in Gaming, Sportsbook ...

initiatives. Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents. Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high‐value AI opportunities across Waystone. … current with emerging AI tools, frameworks, and techniques to identify opportunities for innovation and improvement. Apply sound judgment to determine when not to use AI, ensuring traditional deterministic solutions are chosen when they are safer, simpler, or more cost effective. Ensure AI-enabled solutions consider full total cost ...

INTERNAL**• Technical proficiency in Database technologies, relational, nosql, distributed sql, deployed on IaaS or part of DBaaS. Strong understanding of consumer use case and how databases infrastructure capabilities work.• Expertise in infrastructure components, performance tuning, and capacity planning.• Understanding of, and hands on experience of, micro services … both technical and non-technical stakeholders.• Experience of evaluating multiple technology solutions in order to define and design best fit for a particular use case. #J-18808-Ljbffr ...

security vendors to ensure effective delivery of security operations services. Challenge and validate vendor outputs, driving operational efficiency, quality improvements and better use of tooling capabilities. Actively design and implement automation and orchestration to reduce manual effort, repetitive or high‐volume tasks, improve response times and increase consistency … Anomaly, WAF & DDoS solutions. Experience leading and responding to Cyber Incident Response aligned to NIST. Knowledge of threat detection techniques and use case development. Experience applying threat intelligence in an operational context. Strong experience with vulnerability management tools and processes. Strong awareness of cloud services and supporting ...

customer-focused models. Take ownership of end-to-end Data Science projects from problem definition through to deployment. Develop and productionise models across use cases such as customer segmentation, lifetime value modelling, demand forecasting, and targeted campaigns. Contribute to the design and evolution of a new Data Science ...

represent customer journeys through our data-helping to power campaigns and keep integrations running smoothly. From improving data quality to supporting new use cases, you'll develop the CDP so that it is reliable, flexible and ready to meet changing business needs. As our Lead Adobe CDP Developer ...

loop scoring pipelines. Build production observability for AI features: token-level tracing, quality signal monitoring, hallucination and refusal detection, and cost attribution per use case. Wire eval gates into CI/CD promotion paths so quality checks are enforced before release, not just measured after. Turn eval ...