1 to 25 of 142 Remote/Hybrid 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 ...

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 ...

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. ...

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 ...

/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 ...

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 ...

solutions with strong testing, monitoring, and documentation standards. Partner with Data Scientists and Machine Learning Engineers to optimise datasets for AI and analytics use cases. Apply automation and AI-driven techniques to improve data onboarding, anomaly detection, and operational efficiency. Essential Skills & Experience Python development experience within ...

Develop and maintain ETL processes using SQL, Python and Snowflake technologies. Design robust data models to support reporting, analytics, machine learning and AI use cases. Lead client workshops and stakeholder discussions to understand business and technical requirements. Implement data governance, security, access controls and data quality best practices. ...

datasets. Streaming technologies such as Kafka and real-time data processing. Building datasets and processes for regulatory reporting. Supporting analytics or machine learning use cases. Experience working within a regulated industry. The package The role offers a £50,000–£75,000 salary, alongside a generous annual leave allowance ...

digital twin, simulation and software-defined product approaches to deliver measurable value. Shape responsible AI operating models and delivery roadmaps covering use-case prioritisation, data readiness, architecture, governance, security, human oversight, adoption and value tracking. Lead stakeholder alignment and change across engineering, manufacturing, supply chain, service … MBSE and their integration with ERP, MES and enterprise data and architecture. • The ability to translate emerging engineering technology into credible use cases, scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering ...

native engineering patterns Proven experience implementing data governance, quality management and observability frameworks Ability to manage complex data pipelines for batch and streaming use cases in mission-critical environments Strong communication and leadership skills to work with distributed teams and senior stakeholders Nice to have Knowledge of Delta ...

Microsoft Fabric solutions across Lakehouse, Warehouse, Real-Time Intelligence, Semantic Models and Governance Define enterprise data architectures that support analytics, reporting and AI use cases Lead data modelling activities across conceptual, logical and physical layers Shape and guide delivery teams through complex data transformation programmes Partner with senior ...

robust, large-scale enterprise data engineering. Working closely with commercial stakeholders, cross-functional squads, and technical leadership, you will translate high-value operational use cases into reliable, production-grade AI pipelines, intelligent agentic workflows, and governed data platforms. Key Responsibilities Agentic AI & Prototype Delivery: Architect, build, and deploy ...

teams to build them . Candidates strong in either direction are equally welcome. What You'll Be Doing Translate documented AI/automation use cases into technical designs, prototypes, or working solutions Build or advise on ETL/ELT pipelines preparing diverse datasets for AI consumption Implement ...

Technology, you'll identify opportunities to work smarter, automate processes, improve insight and unlock new ways of working through technology. From deploying AI use cases and business automation to delivering executive dashboards and evolving our Customer Portal, your work will have a visible and lasting impact ...

some of the following: Set the three-year plan that moves CSO security services from rule-based to agent-operated, and defend the investment case for it to the CISO and GSK Tech leadership. Own the architecture, engineering and secure delivery of the agentic framework transforming security services across … carries real-world consequence. Experience in pharmaceutical, life sciences or another highly regulated industry. Enterprise AI programme and business partnering on use-case intake, feasibility and risk-based prioritisation Building and retaining scarce AI engineering and AI security capability, including scaling a technical team Ready to apply ...

/ELT data pipelines Develop and optimise data integration and ingestion frameworks Model data structures, flows and architectures to support analytics and operational use cases Implement data storage solutions across cloud and on-prem environments Apply DataOps/software engineering best practices for deployment and reliability Ensure strong ...

deployment of AI, Machine Learning and Generative AI solutions. Partnering closely with business and technology stakeholders, you'll identify high-value AI use cases, rapidly prototype new solutions and take successful ideas through to production. You'll work with emerging technologies, including Large Language Models (LLMs), AI agents ...