1 to 25 of 364 Permanent Use Case Jobs in England

programme — the bridge between the technical AI function and the teams that use and build AI. You lead AI use-case intake and triage, assess proposals against security and architecture requirements, and route feasible cases into the Cyber Architecture and Solutions delivery pipeline. About … business and R&D teams building with AI, and the job is translation in both directions. You will triage use-case proposals against AI architecture standards, classify them for EU AI Act exposure, and route the feasible ones into delivery — while telling senior scientists and business leaders ...

interfaces needed to make successful solutions reliable. Use shared entity and identifier services as they mature. When a use case exposes a genuine linking problem, work with the teams that own entity resolution to define requirements and test an appropriately simple solution. Establish reusable modeling … question, using real data and a model validated with domain experts and prospective users. A test of at least one adjacent use case, such as graph-derived features for a model or connected research for source-backed AI, measured against a simpler approach. Reusable patterns, working examples ...

Logic Apps, Cortex XSOAR, or similar. Python, PowerShell, or similar scripting, plus API-driven automation and integration. MITRE ATT&CK-aligned use case design, coverage assessment, and log-source mapping to the attack lifecycle. XDR/EDR experience: Microsoft Defender, CrowdStrike, Cortex, or SentinelOne; hands … playbooks for SOC teams. Turn threat intelligence and operational lessons into stronger detections and automations. Own detection-as-code pipelines, structured use case development, and versioning. Advise customers, lead workshops, and deliver clear detection strategies, use case catalogues, and recommendations for all stakeholders. Partner ...

transformation/change management capability and a passion for AI technology. Description Key Responsibilities Own the end-to-end AI use-case pipeline, from discovery and qualification through to prioritisation and delivery. Partner with business leaders and key stakeholders to identify opportunities where AI can deliver measurable … adoption or business value. Key Activities Conduct regular discovery workshops across business functions and operational teams. Manage and maintain the AI use-case backlog and delivery roadmap. Track initiative ownership, progress, adoption levels and realised benefits. Produce regular value and performance reports for senior leadership. Lead ...

solutions across the Allianz Group. It runs four pillars, Personal Productivity, AI-Native Ways of Working, Application Rebuild & Modernization, and AI Use Case Delivery, on top of a shared AI platform ecosystem that provides the runtime, governance, observability, and reusable building blocks every solution runs on. … Use Case Delivery team is the AI Factory's delivery engine for agentic and AI-native solutions across Allianz Operating Entities. It accelerates high-return AI initiatives through dedicated squads, a defined lifecycle from Idea to Handover, and a growing library of reusable AI building blocks that ...

relevant data ingestion. Parse and analyse custom log formats to extract relevant information for SIEM Troubleshoot log ingestion issues Threat Detection & Use Case Development: Develop, test, and deploy advanced threat detection use cases, and common infrastructure attack patterns. Translate threat intelligence and vulnerability insights into … 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. ...

invest in you!. Job DescriptionVersion 1 already has 98% AI adoption across the business, live agentic deployment models, and a use-case governance framework that routes work between self-service AI and CoE-driven transformation based on complexity. Most organisations are still trying to get pilots … tooling and applications, ensuring our own use of AI reflects the standard we sell to customers. Evolve the use-case governance model that decides what stays self-service and what warrants CoE-led transformation. Lead and Grow the AI Centre of Excellence Lead the established ...

What you'll be doing: Conduct detailed business analysis to identify opportunities for AI adoption and innovation. Lead AI readiness assessments, use case discovery, and prioritisation workshops with clients. Develop business cases and ROI models to support AI investment decisions. Define and document user stories, acceptance criteria … concepts including machine learning, natural language processing, generative AI and Agentic AI.Advisory experience in AI for example readiness assessments, use case prioritisation, ROI modelling, ethical AI, and compliance. Experience in product ownership or business analysis within agile delivery teams including business process analysis and the ability ...

assumptions, agree success criteria and keep the evidence and documentation the programme needs Support customer outcomes across Microsoft Sentinel deployment and use-case development, Defender adoption, Defender for Cloud, Entra and Purview where relevant Deliver executive-ready security findings, risk-based recommendations, prioritised roadmaps and clear next … including Defender for Endpoint, Office 365, Identity and Cloud Apps Microsoft Sentinel: security operations, SIEM and SOAR concepts, analytics, automation and use-case development Defender for Cloud: cloud security posture management and workload protection across cloud and hybrid environments Entra ID, Conditional Access, MFA, identity governance, privileged ...

drive pipeline growth and measurable revenue impact- Design and deliver scalable enablement programs and author high-impact technical content (reference architectures, use case libraries, blogs) that drive broad partner adoption of AWS migration and modernization capabilities- Build agentic AI automation that streamlines internal program operations — reducing manual … migration engagements- Develop and iterate on scalable automation tooling (agentic AI agents, document processing, validation pipelines)Author and maintain technical content — use case libraries, reference architectures, blog posts, and enablement materials- Review and technically validate partner migration opportunities, assessing scope, architecture, and programme eligibility- Prepare and deliver ...

systems are robust and scalable. Provide oversight and quality assurance across concurrent projects, flagging technical and delivery risks early. Lead use case discovery and support pre-sales work alongside the commercial team. Drive reuse of shared frameworks and standards across projects, and communicate technical risk clearly … work, it's built to keep you in it. Direct line to the Director of AI Delivery and real input into use case shaping and pre-sales, not just delivery execution. Permanent role, real team, real influence over how Oxfida's engineering function grows from here. ...

frameworks and policies, conduct risk assessments, and contribute to our security and governance strategy. You’ll also help put practical guardrails around AI use, and use AI tools yourself to work smarter. You’ll spend a minimum of two days each week in our London office … tools and use cases (vendor due diligence, data handling, IP and output risks), and maintain the AI use-case inventoryHelp assess AI-specific risks such as data leakage, over-reliance, shadow AI, and IP exposure, with awareness of our studio customers’ confidentiality expectationsTrack emerging ...

Reporting to the Data Platform Manager, the Data Engineer will ingest data from a range of sources and transform it for downstream use, contributing to data modelling, analysis, and the broader development of the data platform such that the enterprise is provided with a trusted and reliable data … data management best practices at all stages (Azure Synapse, PostgreSQL, ADF, Python) Develop data sets which are optimised for their given use case, e.g. self-service analytics Migrate data from legacy reporting solutions onto the Azure Data Platform, ensuring that data integrity and service levels are maintained ...

United Kingdom, London, London Staff 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 ...

modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines for scalable analytics and artificial intelligence use cases Proven knowledge of data modeling, data governance, data quality management, and enterprise data architecture principles Experience integrating cloud and software-as-a-service ...

cost-efficient data solutions. Data Product Delivery & Commercial Value: Demonstrated success delivering data products that support analytics, reporting, AI and data science use cases, driving measurable business outcomes and value creation. Technical Leadership & Stakeholder Engagement: Ability to provide technical leadership, translate business requirements into scalable solutions and collaborate ...

methodologies and experience working within fast-paced development environments. Strong understanding of data modelling , data structures, and their advantages and limitations across different use cases. Experience working with public cloud platforms , particularly AWS , including services such as EC2, RDS, Lambda, Athena, and Glue . Experience configuring and optimising ...

/SOSL and platform automation . Experience delivering Data Cloud, Customer Data Platform (CDP) and Master Data Management (MDM) solutions, including Customer 360 use cases. Strong experience integrating Salesforce with enterprise systems using APIs, event-driven architectures and data integration technologies . Good understanding of SQL, data modelling ...

room for key conversations, providing honest advice, managing expectations and helping clients make good decisions about where and how to use AI.What your day to day might look likeGetting to the heart of the problemMeeting with stakeholders who may not be clear on what they really needUsing discovery … whether a GenAI solution is useful and cost effectiveFine tuning and optimising models so they perform well for the use case and budgetDesigning agentic workflows where they genuinely improve outcomes rather than add complexityHelping clients understand what GenAI can and cannot do in practiceKeeping it runningYou will ...

machine learning and AI solutions, from discovery through to production deployment and ongoing optimisation Partner with business stakeholders to identify opportunities, define use cases, and prioritise work based on commercial value Design, develop, and deploy scalable machine learning, predictive analytics, and AI applications Drive technical best practices across ...

with stakeholders to understand business challenges and translate them into scalable data products. Develop and improve AI-powered solutions, including LLM and automation use cases. Drive best practices in model development, testing, monitoring and governance. Mentor colleagues and contribute to the wider technical direction of the team. About ...

mentor and develop consultants, architects, engineers and analysts, creating clear career pathways and a strong community of practice. Establish reusable accelerators, reference architectures, demonstrations, case studies and sales collateral. Coordinate effectively with wider UK and international teams to bring the best capability to clients. Promote an inclusive, collaborative … expertise, including semantic models, data visualisation, governance, adoption and enterprise reporting approaches. Practical knowledge of AI and generative AI, including use-case identification, solution shaping, responsible AI, data readiness and integration into business processes. Broad knowledge of the Microsoft data ecosystem, such as Azure Data Factory, Azure ...

from reactive support towards proactive, predictive and increasingly self-healing operations. With a strong focus on the core SAP platform, the role will use operational telemetry, observability, automation and AI to improve detection, diagnosis and resolution of incidents, reduce manual toil and strengthen platform resilience. Working closely with … address recurring SAP and enterprise platform issues, translating operational pain points, capacity constraints and performance risks into sustainable automated solutions. Use Case Discovery & Value Realisation: Use incident, problem, performance and operational data to identify high-value automation opportunities, maintaining a prioritised backlog and demonstrating measurable ...

robust ETL/ELT pipelines using SQL, Python and Snowflake-native technologies Creating trusted, AI-ready data products for analytics and machine learning use cases Supporting cloud migration and data modernisation programmes Working with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables Optimising Snowflake performance, scalability and cost efficiency ...

native technologies Delivering enterprise-scale cloud migration and data modernisation programmes Creating trusted, AI-ready data products for analytics, machine learning and AI use cases Working with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables Driving best practice across data engineering, CI/CD, automation and Infrastructure-as-Code ...