1 to 25 of 441 Permanent Use Case Jobs

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 ...

stakeholders to define what success looks like from their customer data strategy. You will lead value workshops, shape KPI frameworks, build use-case roadmaps, write business-focused BRDs and ensure each engagement is tied to measurable business outcomes. This is not a product, implementation or marketing operations … Experience advising enterprise clients or senior stakeholders on customer data, journeys or optimisation Able to build KPI frameworks, value models, BRDs, use-case roadmaps or workshop outputs Familiar with CDPs, digital analytics, customer journey tools or MarTech ecosystems Confident leading strategic conversations, not just supporting delivery ...

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 ...

attention to detail. Comfortable working within evolving and fast-paced environments. Ability to bridge the gap between data engineering, analytics, and emerging AI use cases. Proactive, collaborative, and delivery-focused. Excellent communication and stakeholder engagement skills. Able to work independently while contributing effectively within cross-functional teams. Qualifications ...

Hands-on experience building and deploying predictive models in production environments. Experience with pricing, forecasting, revenue optimisation, risk modelling, or similar predictive analytics use cases is highly desirable. Experience designing and maintaining data pipelines and working with large datasets. Knowledge of SQL and modern database technologies. Familiarity with ...

optimize data models, Delta tables, and curated datasets to support financial reporting, PPBE workflows, auditability, and mission analytics within Advana and downstream Foundry use cases. Develop, maintain, and deploy Foundry pipelines, transforms, and data products, enabling traceability, lineage, and repeatable analytics workflows for DoD stakeholders. Implement and manage ...

White Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine LearningAbout this roleWe 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 … testing, monitoring, and deployment pipelinesCollaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case deliveryBuild and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partnersRepresent Capital One in external ...

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 ...

delivery roadmaps Design, build, and deploy AI systems, including GenAI and agent-based applications Deliver rapid prototypes to validate technical and business use cases Build and maintain production-grade AI services and APIs (e.g. FastAPI or similar) Collaborate with engineers, data scientists, architects, and business stakeholders to deliver ...

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 ...

private sector organisations. There's a clear commitment to investing in people, whether that's learning new technologies, gaining exposure to modern AI use cases or working alongside experienced engineers who are open, supportive and happy to share their knowledge. You will work with: End-to-end data ...

experimentation and model training Maintain and evolve our databases and data warehouses across environments, ensuring performance, integrity, and support for analytics and ML use cases Troubleshoot and resolve data issues across systems, identifying root causes and implementing long-term fixes Stay up to date with developments in data ...

reporting, and data consumption. Influence data architecture: Provide analysis‐driven input into platform and system design to support reliable analytics and future AI use cases. Enable analytics and AI: Ensure data is well understood, structured correctly, and fit for purpose, with clear visibility into quality, lineage, and limitations. ...

business and digital transformation goals Designing end-to-end AI architectures and scalable deployment models across enterprise environments Advising clients on suitable AI use cases and opportunities for enterprise-wide adoption Collaborating with Enterprise Architects, Data Scientists, MLOps Engineers, DevOps teams and business stakeholders to shape and deliver ...

within Foundry/FDP environments Develop modular, reusable data components following software engineering best practices Build and maintain data products aligned to business use cases Data Architecture & Modeling Design robust data models and ontology structures within Foundry Define and maintain semantic layers for business-facing analytics Ensure data ...

delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring ...

Data & AI Engineer, you will design, build and maintain data pipelines, analytical platforms and AI-enabled capabilities that support business-critical use cases. You will work closely with analysts, engineers, and stakeholders to translate requirements into robust, production-ready solutions. Key responsibilities: Designing and building scalable data pipelines ...

through controls. Make custom configuration changes in tools to meet business or customer requests. Update logical or physical data models based on new use cases. Utilize SQL frequently and understand NoSQL databases and their applications. Contribute to a team culture of diversity, opportunity, inclusion, and respect. Develop enterprise ...

reporting requirements. Lead discussions to understand analytics needs, explore technical solutions, and prioritize delivery based on business value. Map reporting and data use cases to available solutions in the existing architecture. Agile Delivery & Ceremonies: Actively participate in all Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement ...

ship models. VP of Data Engineering | Responsibilities: Design, build, and evolve scalable data platforms and pipelines that enable AI and ML use cases in production Act as a senior hands-on engineer within an agile POD, contributing directly to delivery day-to-day Partner closely with data scientists ...

frameworks, tools, and best practices Generative AI & Agentic AI Architect and implement Generative AI solutions using LLMs (e.g., text, code, embeddings, multimodal use cases) Design Conversational Analytics and AI-powered BI solutions Build and evaluate Agentic AI platforms, including autonomous agents, orchestration frameworks, and tool integrations Lead solution ...

cost management within Snowflake, identifying inefficiencies and implementing scalable warehouse, clustering, and workload management strategies. Design data architectures that support AI and GenAI use cases, including vector search capabilities, embedding pipelines, and semantic data structures. Collaborate with Business Analysts, Data Engineers, and stakeholders to define data contracts ...

Experience working with event-driven architectures and messaging systems such as Kafka Familiarity with both NoSQL and NewSQL databases , including trade-offs and use cases Ability to take ambiguous business requirements and turn them into clear technical designs and working systems AI Engineering capability (essential) All engineers ...

including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, RAGs Partner with product, editorial, and engineering stakeholders to translate business requirements into robust ...

including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, RAGs Partner with product, editorial, and engineering stakeholders to translate business requirements into robust ...