551 to 575 of 1,661 Use Case Jobs in the UK

the integration and professional services domains Required Qualifications & Experience: 16+ years of industry experience Experience leading customers and partners through requirements phase of an implementation process, including explaining use cases and configuration options, document configuration, and perform fit/gap analysis Working closely with customers to capture the requirements and provide the necessary architectural guidance where needed Experience More ❯

Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI/ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and More ❯

Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make it available to any downstream query engine and use case (from traditional analytics to real-time AI/ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and More ❯

and software enhancements or changes in existing products. Verify user assistance through hands-on testing. Gain expertise in the Ansys software products you cover, and understand the customer use cases that drive their development. Provide UX feedback/ideas on how to improve design issues in the software you are documenting. Gain expertise in Ansys documentation tools, processes More ❯

sources, and detection logic-making them reusable by SOC, IR, and detection engineering teams. Collaborate with detection engineers to convert hunt findings into long-term detections and SIEM use cases , contributing to continuous monitoring improvements. Continuously refine and document hunt processes and hypotheses for knowledge sharing across cyber defense teams. * Monitoring & Anticipation - Maintain situational awareness of the evolving More ❯

across our organisation. This role sits at the intersection of innovation, training, and operational excellenceidentifying opportunities for AI-driven efficiencies and equipping teams across the business to confidently use AI tools in their day-to-day work. Responsibilities: AI Strategy & Implementation Evaluate existing editorial, production, marketing, and administrative processes to identify where AI solutions can enhance efficiency, quality … AI to ensure our media operations remain cutting-edge. Training & Change Management Develop and deliver tailored AI training programs for different departments, considering skill levels, job functions, and use cases. Provide hands-on support and documentation to ensure successful adoption and use of AI tools. Act as the primary internal advocate for responsible and ethical use … Gather feedback from teams and iterate training and implementation strategies accordingly. Cross-Functional Collaboration Work closely with internal stakeholders (e.g., editorial, marketing, HR, IT, compliance) to ensure AI use is aligned with business needs, legal requirements, and ethical standards. Serve as a bridge between technical teams and non-technical users, translating complex AI concepts into practical applications. Establish More ❯

our organisation. This role sits at the intersection of innovation, training, and operational excellence—identifying opportunities for AI-driven efficiencies and equipping teams across the business to confidently use AI tools in their day-to-day work. Responsibilities: AI Strategy & Implementation Evaluate existing editorial, production, marketing, and administrative processes to identify where AI solutions can enhance efficiency, quality … AI to ensure our media operations remain cutting-edge. Training & Change Management Develop and deliver tailored AI training programs for different departments, considering skill levels, job functions, and use cases. Provide hands-on support and documentation to ensure successful adoption and use of AI tools. Act as the primary internal advocate for responsible and ethical use … Gather feedback from teams and iterate training and implementation strategies accordingly. Cross-Functional Collaboration Work closely with internal stakeholders (e.g., editorial, marketing, HR, IT, compliance) to ensure AI use is aligned with business needs, legal requirements, and ethical standards. Serve as a bridge between technical teams and non-technical users, translating complex AI concepts into practical applications. Establish More ❯

our organisation. This role sits at the intersection of innovation, training, and operational excellence—identifying opportunities for AI-driven efficiencies and equipping teams across the business to confidently use AI tools in their day-to-day work. Responsibilities: AI Strategy & Implementation Evaluate existing editorial, production, marketing, and administrative processes to identify where AI solutions can enhance efficiency, quality … AI to ensure our media operations remain cutting-edge. Training & Change Management Develop and deliver tailored AI training programs for different departments, considering skill levels, job functions, and use cases. Provide hands-on support and documentation to ensure successful adoption and use of AI tools. Act as the primary internal advocate for responsible and ethical use … Gather feedback from teams and iterate training and implementation strategies accordingly. Cross-Functional Collaboration Work closely with internal stakeholders (e.g., editorial, marketing, HR, IT, compliance) to ensure AI use is aligned with business needs, legal requirements, and ethical standards. Serve as a bridge between technical teams and non-technical users, translating complex AI concepts into practical applications. Establish More ❯

our organisation. This role sits at the intersection of innovation, training, and operational excellence—identifying opportunities for AI-driven efficiencies and equipping teams across the business to confidently use AI tools in their day-to-day work. Responsibilities: AI Strategy & Implementation Evaluate existing editorial, production, marketing, and administrative processes to identify where AI solutions can enhance efficiency, quality … AI to ensure our media operations remain cutting-edge. Training & Change Management Develop and deliver tailored AI training programs for different departments, considering skill levels, job functions, and use cases. Provide hands-on support and documentation to ensure successful adoption and use of AI tools. Act as the primary internal advocate for responsible and ethical use … Gather feedback from teams and iterate training and implementation strategies accordingly. Cross-Functional Collaboration Work closely with internal stakeholders (e.g., editorial, marketing, HR, IT, compliance) to ensure AI use is aligned with business needs, legal requirements, and ethical standards. Serve as a bridge between technical teams and non-technical users, translating complex AI concepts into practical applications. Establish More ❯

tackling complex, real-world problems at speed. As part of the product engineering team, you’ll help design and build full-stack applications for a wide range of use cases. Expect a fast-moving environment, hands-on work across 20+ live projects, and heavy use of AI-assisted tooling to boost delivery. You’ll work closely More ❯

tackling complex, real-world problems at speed. As part of the product engineering team, you’ll help design and build full-stack applications for a wide range of use cases. Expect a fast-moving environment, hands-on work across 20+ live projects, and heavy use of AI-assisted tooling to boost delivery. You’ll work closely More ❯

tackling complex, real-world problems at speed. As part of the product engineering team, you’ll help design and build full-stack applications for a wide range of use cases. Expect a fast-moving environment, hands-on work across 20+ live projects, and heavy use of AI-assisted tooling to boost delivery. You’ll work closely More ❯

solutions meet the security expectations of our customers, as well as the company's security requirements. At reMarkable, you will be challenged by a diverse technical landscape. We use GCP as our primary cloud vendor, we have some footprint in AWS for CI purposes, and use Azure for certain other isolated use-cases. We … focus, deep dive and be creative. A total of 25 vacation days during a year. You'll also have 5 extra days called "reMarkable days" you can make use of in addition to our regular vacation. Paid sick leave. Private health care and life assurance. reMarkable's newest Paper Tablet and home broadband coverage within our company policy. More ❯

you like to solve the most complex and high scale (billions+ records) data challenges in the world today? Do you like leading teams through high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services, we're … and analysis, driving data driven decisions and desired customer outcomes. Key job responsibilities - Expertise - Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon … and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. - Delivery - Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration and modernisation of existing data applications and More ❯

techniques to drive investment and trading decisions, analyze their portfolio, gauge risk and more. This shift is occurring for all types of users - Bloomberg Terminal users, clients who use Excel, and Quant users who use data science platforms such as BQuant. Clients are looking to perform workflows that were previously not possible, which tend to be … more data and compute intensive. We created the Bloomberg Query Language (BQL) for these users and use cases. Legacy data delivery mechanisms (APIs) require clients to download massive volumes of data and perform their custom analysis on their desktops. BQL is a step-change in functionality - clients can ask questions of our content and receive answers quickly and More ❯

a firm who are dedicated to applying artificial intelligence technology to solve some of humanity’s biggest challenges. From climate change to healthcare, food security to ethical AI use, this is a rare chance to work on mission-driven AI research with some of the brightest minds in the field. You’ll be joining one of Europe’s … research centres , collaborating with top talent, including those from the likes of Google DeepMind , to build data infrastructure that powers AI solutions across a number of industries and use-cases. Why this role? Tangible, impact-driven work that tackles real-world issues An elite team where you’ll work alongside AI pioneers & industry leaders Top compensation – the firm More ❯

and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS … robust APIs to connect AI agents to internal and third-party services. Leverage SQL to query and integrate structured data into reasoning and knowledge workflows. Ensure responsible AI use through tooling like Guardrails and awareness of ethical practices. About You: Expert Python developer with a background in building intelligent, multi-step systems. Hands-on experience with LLM frameworks More ❯

and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS … robust APIs to connect AI agents to internal and third-party services. Leverage SQL to query and integrate structured data into reasoning and knowledge workflows. Ensure responsible AI use through tooling like Guardrails and awareness of ethical practices. About You: Expert Python developer with a background in building intelligent, multi-step systems. Hands-on experience with LLM frameworks More ❯

and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: • Rapidly design and develop LLM and agent-based prototypes across varied use cases. • Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. • Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS … robust APIs to connect AI agents to internal and third-party services. • Leverage SQL to query and integrate structured data into reasoning and knowledge workflows. • Ensure responsible AI use through tooling like Guardrails and awareness of ethical practices. About You: • Expert Python developer with a background in building intelligent, multi-step systems. • Hands-on experience with LLM frameworks More ❯

and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: • Rapidly design and develop LLM and agent-based prototypes across varied use cases. • Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. • Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS … robust APIs to connect AI agents to internal and third-party services. • Leverage SQL to query and integrate structured data into reasoning and knowledge workflows. • Ensure responsible AI use through tooling like Guardrails and awareness of ethical practices. About You: • Expert Python developer with a background in building intelligent, multi-step systems. • Hands-on experience with LLM frameworks More ❯

and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: • Rapidly design and develop LLM and agent-based prototypes across varied use cases. • Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. • Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS … robust APIs to connect AI agents to internal and third-party services. • Leverage SQL to query and integrate structured data into reasoning and knowledge workflows. • Ensure responsible AI use through tooling like Guardrails and awareness of ethical practices. About You: • Expert Python developer with a background in building intelligent, multi-step systems. • Hands-on experience with LLM frameworks More ❯

and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS … robust APIs to connect AI agents to internal and third-party services. Leverage SQL to query and integrate structured data into reasoning and knowledge workflows. Ensure responsible AI use through tooling like Guardrails and awareness of ethical practices. About You: Expert Python developer with a background in building intelligent, multi-step systems. Hands-on experience with LLM frameworks More ❯

and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: • Rapidly design and develop LLM and agent-based prototypes across varied use cases. • Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. • Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS … robust APIs to connect AI agents to internal and third-party services. • Leverage SQL to query and integrate structured data into reasoning and knowledge workflows. • Ensure responsible AI use through tooling like Guardrails and awareness of ethical practices. About You: • Expert Python developer with a background in building intelligent, multi-step systems. • Hands-on experience with LLM frameworks More ❯

techniques to drive investment and trading decisions, analyze their portfolio, gauge risk and more. This shift is occurring for all types of users - Bloomberg Terminal users, clients who use Excel, and Quant users who use data science platforms such as BQuant. Clients are looking to perform workflows that were previously not possible, which tend to be … more data and compute intensive. We created the Bloomberg Query Language (BQL) for these users and use cases. Legacy data delivery mechanisms (APIs) require clients to download massive volumes of data and perform their custom analysis on their desktops. BQL is a step-change in functionality - clients can ask questions of our content and receive answers quickly and More ❯

this role, you will focus on unifying data management at Lila by building and maintaining high performance and robust data pipelines to support a variety of machine learning use-cases. You will work closely with both LLM researchers and Applied AI Engineers to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for … automation. Responsibilities: Design and implement high-performance data processing infrastructure for large language model training Collaborate with researchers to implement novel data processing pipelines Develop an easy-to-use, secure, and robust developer experience for researchers and engineers Contribute to the MLOps best practices at Lila Sciences and write technical documentation for staff Qualifications: 3+ years of experience More ❯