1 to 25 of 182 Remote/Hybrid Use Case Jobs

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 ...

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 ...

problem solver with a hands-on engineering mindset Comfortable working in a fast-paced, evolving environment Ability to bridge data engineering and AI use cases Proactive, collaborative, and delivery-focused Additional Information This organisation is part of the Disability Confident scheme and Armed Forces Covenant. Candidates eligible ...

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 ...

monitored. Support cloud and hybrid environments including Azure, AWS, and on-premises infrastructure. Create dashboards, reports, and analytics to support operational and security use cases. Document solutions, operational procedures, and technical designs. Participate in change management, testing, and production deployments. Provide technical guidance and knowledge transfer to operational ...

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 ...

through to the warehouse Working with high volume, near real time data streams Developing and maintaining data models to support analytics and product use cases Improving engineering standards, testing practices and production readiness Contributing to the setup and management of multiple environments, including staging and production SKILLS ...

contributing to data quality, governance and performance optimisation. Responsibilities Design, build and maintain scalable data pipelines and datasets to support analytics and AI use cases Integrate data from multiple sources, ensuring consistency, quality and reliability Optimise data processing, storage and model performance for efficiency and scalability Develop ...

stakeholders to translate requirements into robust technical solutions Support the ongoing development of data architecture to enable advanced analytics and future machine learning use cases Act as a senior technical voice within the team, contributing to design decisions and platform direction About You: We are looking ...

people work with sound Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities Work within the team and research ...

across multiple domains. The Role You will be responsible for designing and building scalable, reliable data infrastructure that supports analytics and machine learning use cases. Architecting and developing robust data pipelines across multiple sources Working closely with analytics and data science teams to prepare data for advanced modelling ...

Implement monitoring, observability, testing, and governance controls for AI systems. Collaborate with Product, Engineering, Data, and Business stakeholders to identify and deliver AI use cases. Stay up to date with advancements in Agentic AI, Generative AI, Claude Code, and the wider LLM ecosystem. Required Skills & Experience Agentic ...

practical experience applying it in enterprise settings. Experience with Generative AI and Large Language Models (LLMs) , including selecting appropriate models for use cases. Proven ability to deliver solutions in highly regulated environments (e.g., banking, financial services). Strong background in data platforms, big application development, and cloud engineering ...

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 ...

example TOGAF or cloud certifications Experience developing data strategies, operating models or governance frameworks Experience designing data platforms that support AI, including emerging use cases such as agentic AI Why Join Work on cutting-edge Data and AI programmes with real business impact Gain exposure to a wide ...

platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution design activities. Support ...

Role Design, build and own end to end data pipelines supporting real time and batch analytics Work on high volume, low latency data use cases with a strong focus on reliability and scalability Develop production grade data solutions using software engineering best practices such as CI/ ...

APIs, backend services, automations, and data pipelines Translate business requirements into scalable technical solutions Prototype and iterate quickly on AI-driven features and use cases Write clean, maintainable, production-quality code Improve reliability, scalability, monitoring, and performance of AI systems Support deployment and operationalisation of AI applications Mentor ...

across AWS, GCP, or Azure, including IAM, networking, and compute. Experience securing CI/CD pipelines, APIs, and containerized environments. Familiarity with security use cases in Media & Entertainment, such as editorial, transfer, and content collaboration workflows. Strong problem-solving and sense of ownership in seeing security improvements through. ...

measurable difference. The Role You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready. Key responsibilities ...

scalable, reliable, and cost-efficient as it evolves. • Translate organisational needs into clear product outcomes for analytics, personalisation, experimentation, and data transformation use cases. • Drive adoption and usability of the platform across the BBC's internal teams. • Ensure the platform meets requirements for data quality, governance, and security. ...

using them in development workflows Experience with or strong interest in applying AI/ML to fraud detection, anomaly detection, or payment optimization use cases Strong understanding of payment processing concepts: authorization, settlement, tokenization, PCI-DSS compliance, card network mandates Experience with Splunk or similar log analytics platforms … operational monitoring and incident investigation Advanced experience in Object-Oriented design principles, patterns, and coding best practices Advanced experience building use case driven software with Agile Software Development and Test Driven Development methodologies Experience with database technologies: Aurora (MySQL), MariaDB, DynamoDB, Redis Ability to thrive ...