76 to 100 of 693 Remote Use Case Jobs

maintain ETL pipelines and data models for analytics and reporting platforms. Design, build, and maintain data products that serve specific business domains and use cases. Conduct advanced data mining and manipulation, advising on architecture and data model changes. Design and deliver Power BI dashboards and reports that provide ...

technical effectiveness and continual improvement of Microsoft Sentinel, Microsoft Defender, SIEM, SOAR, EDR, and XDR capabilities. Develop and maintain detection rules, use cases, automation, and response playbooks to improve operational efficiency. Work with the Technical Architect to align security tooling, controls, and services with customer and organisational requirements. ...

content structures optimised for generative engine discovery and LLM retrieval. Model fine‐tuning: experience customising and fine‐tuning existing models for production use cases; including data preparation, evaluation, versioning and deployment within enterprise governance, cost and reliability constraints. AI cost‐value analysis, observability, governance, testing and evaluation frameworks ...

understand strategic objectives, challenges, and opportunities. Facilitate discovery workshops and requirements-gathering sessions. Translate business problems into data science, AI, and analytics use cases. Present solution approaches, prototypes, and recommendations to business and executive stakeholders. Act as a trusted advisor, helping clients prioritise initiatives and define measurable business ...

control design Stakeholder engagement and technical communication Key responsibilities Assess the existing SOC architecture, including SIEM, SOAR, EDR/XDR, threat intelligence, case management and security data platforms. Assess SOC data availability, quality and suitability for AI-enabled use cases. Identify opportunities for AI augmentation across areas … cases based on value, feasibility, data availability, complexity and risk. Identify technical dependencies, constraints and implementation considerations. Key outputs AI use-case and feasibility assessment Data and integration requirements Build vs Buy options assessment Security and assurance considerations Architecture and implementation roadmap Technical risks, dependencies and assumptions ...

standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team … with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record ...

standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case* Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team … with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)* A track record ...

standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team … with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record ...

cutting edge of what’s next.We **REDEFINE** strategy – You will work with clients to define their ambition for AI, identify high-impact use cases and design prioritisation frameworks that guide investment to ensure AI initiatives are aligned with business goals and built for scale.We **ENABLE** business transformation with … with the ability to connect technology to tangible business value. **AI strategy & delivery experience** – Experience across the lifecycle from discovery and use case definition through to delivery and implementation support. **Capability building & responsible AI** – Experience developing AI capabilities (operating models, readiness, training) alongside awareness of AI ethics ...

technical teams to ensure that current and future services meet data architecture requirements. Collaborate with various business users to understand data definitions, analytics use cases and assist in building data governance and detailed data requirements. Responsible for executing simultaneous project activities that require innovative problem solving. Research tools ...

Strong Python programming with testing and version control Experience with data ingestion, transformation, serving, and scalable pipelines Data modeling for analytics and operational use cases (asset correlation, graph-based insights) Hands-on experience integrating multiple data sources (APIs, event streams, databases) Proficiency with Databricks (Delta Lake, Structured Streaming ...

Designing and developing advanced AI and Machine Learning solutions Building and implementing LLM and Generative AI applications Developing and training models for complex use cases Working with predictive modelling and Machine Learning techniques Taking models from development through to production Embedding AI/ML solutions into real-world ...

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 ...

LLMs Evaluating and improving multi-agent workflows Researching defences against prompt injection and adversarial attacks Collaborating with security analysts to understand real-world use cases Supporting the evolution of the platform towards more advanced agentic architectures Communicating research findings to both technical and non-technical audiences Contributing ...

cloud-native engineering patternsProven experience implementing data governance, quality management and observability frameworksAbility to manage complex data pipelines for batch and streaming use cases in mission-critical environmentsStrong communication and leadership skills to work with distributed teams and senior stakeholdersNice to haveKnowledge of Delta Live Tables ...

OpenAI. Develop a deep understanding of customer journeys and operational needs, translating UK business priorities, user feedback and colleague requirements into prioritised AI use cases, product requirements, acceptance criteria and delivery plans. Represent Santander UK in Group product forums, working with Group platform teams and technology partners ...

OpenAI.* Develop a deep understanding of customer journeys and operational needs, translating UK business priorities, user feedback and colleague requirements into prioritised AI use cases, product requirements, acceptance criteria and delivery plans.* Represent Santander UK in Group product forums, working with Group platform teams and technology partners ...

onboarding priority data sources into the Bronze layer and transforming them into your client Enterprise Data Model/Silver layer, including use-case-specific pre- and post-processing You establish reusable patterns for data modelling, ETL and ELT, APIs and MCP interfaces, and embed Okta access management ...

data controls – work with business and technical subject‐matter experts to implement AI‐ready data and information management controls based on prioritised risks, use cases and data products. Lead end‐to‐end control implementation – partner with data role holders, business and engineering teams to implement controls across structured ...

data controls work with business and technical subject-matter experts to implement AI-ready data and information management controls based on prioritised risks, use cases and data products. Lead end-to-end control implementation partner with data role holders, business and engineering teams to implement controls across structured ...

bothstandaloneOptimisationopportunities and attach opportunities alongside IFS Cloud and adjacent AI offerings such as Nexus Black and IFS.ai. Identifymarket opportunities, competitive positioning, and customer use cases across field service, high-tech and discrete manufacturing, and scenario planning. Continuously evaluate sales performance and refine GTM approaches based on market feedback ...

business opportunities where data and AI transform the way organisations operate and make decisions. Driving senior client conversations to identify high-value AI use cases, clarify business priorities and contribute to practical roadmaps that help clients realise value from data and AI Working with business stakeholders to define ...

Company Overview Atreides helps organisations turn large, complex, multimodal datasets into detailed geospatial data, that can be used for a wide range of use cases. At present, Atreides focuses on providing high-fidelity data that allows customers to make decisions quickly. Team Overview Our mission systems team ...

Company Overview: Atreides helps organisations turn large, complex, multimodal datasets into detailed geospatial data, that can be used for a wide range of use cases. At present, Atreides focuses on providing high-fidelity data that allows customers to make decisions quickly. Team Overview: Our mission systems team ...

Journey: Your First 90 Days 30-days: You will build a strong understanding of the ICIS data portfolio, data channels and customer use cases. You will shadow discovery calls, customer workshops and technical discussions to understand how organisations consume and operationalise market intelligence within their business workflows. ...