1 to 25 of 314 Remote Use Case Jobs in London

. Excellent communication and collaboration skills. Up-to-date knowledge of modern ML and AI developments. Why Join This is a chance to work on impactful machine learning use cases that shape the future of customer experiences and business operations. You’ll be part of a collaborative environment where innovation is encouraged, and you’ll have the autonomy More ❯

. Excellent communication and collaboration skills. Up-to-date knowledge of modern ML and AI developments. Why Join This is a chance to work on impactful machine learning use cases that shape the future of customer experiences and business operations. You’ll be part of a collaborative environment where innovation is encouraged, and you’ll have the autonomy More ❯

. Excellent communication and collaboration skills. Up-to-date knowledge of modern ML and AI developments. Why Join This is a chance to work on impactful machine learning use cases that shape the future of customer experiences and business operations. You’ll be part of a collaborative environment where innovation is encouraged, and you’ll have the autonomy More ❯

. Excellent communication and collaboration skills. Up-to-date knowledge of modern ML and AI developments. Why Join This is a chance to work on impactful machine learning use cases that shape the future of customer experiences and business operations. You’ll be part of a collaborative environment where innovation is encouraged, and you’ll have the autonomy More ❯

Job Title: Manager - Cloud Data Architect (AWS & Snowflake) Protiviti's UK ED&A practice offers a comprehensive range of data use cases delivered through various delivery and commercial routes. We work on the full data lifecycle with highly skilled and experienced data professionals. Our solutions range from data strategy and governance through the development, design and implementation of More ❯

requirements for new system integrations. Work with stakeholders to define integration points between rights management tools, MAM systems, data platforms, and finance systems. Translate business needs into integration use cases, data mapping, and interface specifications. Document end-to-end process flows, service journeys, and hand-offs across business and technology teams. Act as a bridge between business, technical More ❯

requirements for new system integrations. Work with stakeholders to define integration points between rights management tools, MAM systems, data platforms, and finance systems. Translate business needs into integration use cases, data mapping, and interface specifications. Document end-to-end process flows, service journeys, and hand-offs across business and technology teams. Act as a bridge between business, technical More ❯

Design and build production-ready GenAI applications using LLMs and multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen). Collaborate with stakeholders across departments to identify high-impact AI use cases, translate requirements, and deliver solutions that align with business goals. Develop and fine-tune LLMs and implement Retrieval-Augmented Generation (RAG) pipelines for specialized knowledge tasks. Engineer agentic More ❯

Design and build production-ready GenAI applications using LLMs and multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen). Collaborate with stakeholders across departments to identify high-impact AI use cases, translate requirements, and deliver solutions that align with business goals. Develop and fine-tune LLMs and implement Retrieval-Augmented Generation (RAG) pipelines for specialized knowledge tasks. Engineer agentic More ❯

Design and build production-ready GenAI applications using LLMs and multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen). Collaborate with stakeholders across departments to identify high-impact AI use cases, translate requirements, and deliver solutions that align with business goals. Develop and fine-tune LLMs and implement Retrieval-Augmented Generation (RAG) pipelines for specialized knowledge tasks. Engineer agentic More ❯

Design and build production-ready GenAI applications using LLMs and multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen). Collaborate with stakeholders across departments to identify high-impact AI use cases, translate requirements, and deliver solutions that align with business goals. Develop and fine-tune LLMs and implement Retrieval-Augmented Generation (RAG) pipelines for specialized knowledge tasks. Engineer agentic More ❯

engagement to close as needed Identify and understand customer requirements and articulate the value proposition of Palo Alto Networks’ AI security and Software and Cloud Firewall offerings and use cases to meet those requirements. Evangelize the importance and value of securing AI across industry events, executive briefings, and thought leadership opportunities Track and report performance metrics, pipeline health More ❯

engagement to close as needed Identify and understand customer requirements and articulate the value proposition of Palo Alto Networks’ AI security and Software and Cloud Firewall offerings and use cases to meet those requirements. Evangelize the importance and value of securing AI across industry events, executive briefings, and thought leadership opportunities Track and report performance metrics, pipeline health More ❯

and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance tuning across cloud More ❯

and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance tuning across cloud More ❯

and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance tuning across cloud More ❯

and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance tuning across cloud More ❯

ingestion pipelines and transformations within the Quantexa platform using Spark and Scala. Configure and implement Quantexa components such as Entity Resolution, Scoring, and Network Generation to support specific use cases. Collaborate with Tech Leads and Solution Architects to design scalable and performant Quantexa solutions. Translate business and technical requirements into efficient, production-ready data engineering solutions. Support the More ❯

ingestion pipelines and transformations within the Quantexa platform using Spark and Scala. Configure and implement Quantexa components such as Entity Resolution, Scoring, and Network Generation to support specific use cases. Collaborate with Tech Leads and Solution Architects to design scalable and performant Quantexa solutions. Translate business and technical requirements into efficient, production-ready data engineering solutions. Support the More ❯

ingestion pipelines and transformations within the Quantexa platform using Spark and Scala. Configure and implement Quantexa components such as Entity Resolution, Scoring, and Network Generation to support specific use cases. Collaborate with Tech Leads and Solution Architects to design scalable and performant Quantexa solutions. Translate business and technical requirements into efficient, production-ready data engineering solutions. Support the More ❯

ingestion pipelines and transformations within the Quantexa platform using Spark and Scala. Configure and implement Quantexa components such as Entity Resolution, Scoring, and Network Generation to support specific use cases. Collaborate with Tech Leads and Solution Architects to design scalable and performant Quantexa solutions. Translate business and technical requirements into efficient, production-ready data engineering solutions. Support the More ❯

this role, you will be responsible for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing to More ❯

this role, you will be responsible for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing to More ❯

and monitoring of models. Basic knowledge of React, and/or ability and willingness to learn to work full-stack as needed. Experience of M&A/Finance use cases for machine learning. What We Offer Competitive compensation package (with potential equity component) A pivotal role in shaping the company's analytics products and the culture of our More ❯

and monitoring of models. Basic knowledge of React, and/or ability and willingness to learn to work full-stack as needed. Experience of M&A/Finance use cases for machine learning. What We Offer Competitive compensation package (with potential equity component) A pivotal role in shaping the company's analytics products and the culture of our More ❯