526 to 550 of 1,546 Use Case Jobs in the UK

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 ❯

the integration of data and AI strategies into the operating model. Validate and align business models for various operational spokes. Develop roadmaps for capability development and data analytics use cases. Facilitate value stream mapping and capability modeling. Ensure alignment of the operating model with organizational strategy. Qualifications: Minimum of 15 years of experience in business architecture, with a More ❯

that align with long-term business objectives, with a focus on insurance industry needs. Lead architectural reviews and collaborate with business leaders to manage risks created by the use of technology. Act as a technical liaison between management, product teams, business stakeholders, and development teams. Provide technical leadership throughout the project lifecycle. Advise on design, debugging, and performance … projects and business initiatives using demonstrated creativity and ingenuity, particularly within the insurance space. Reduce technical risks by participating in proof-of-concept work tailored to insurance-specific use cases. Establish credibility and build deep relationships with senior technical staff to generate shared understanding and relate their challenges to the FintechOS platform strategy. Participate in deep architectural and More ❯

that align with long-term business objectives, with a focus on insurance industry needs. Lead architectural reviews and collaborate with business leaders to manage risks created by the use of technology. Act as a technical liaison between management, product teams, business stakeholders, and development teams. Provide technical leadership throughout the project lifecycle. Advise on design, debugging, and performance … projects and business initiatives using demonstrated creativity and ingenuity, particularly within the insurance space. Reduce technical risks by participating in proof-of-concept work tailored to insurance-specific use cases. Establish credibility and build deep relationships with senior technical staff to generate shared understanding and relate their challenges to the FintechOS platform strategy. Participate in deep architectural and More ❯

help put data at the heart of every customer interaction. The Role: Lead, mentor, and grow a team of Data Scientists and Analysts focused on customer and marketing use cases. Build and deploy models that support personalisation, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver More ❯

help put data at the heart of every customer interaction. The Role: Lead, mentor, and grow a team of Data Scientists and Analysts focused on customer and marketing use cases. Build and deploy models that support personalisation, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver More ❯

team that thrives in excellence? Feel free to reach out and apply today! Responsibilities: Design and build robust, scalable data pipelines that serve business-critical applications and analytics use cases. Modernise and migrate Legacy ETL processes into cloud-native solutions using tools such as Azure Data Factory, Snowflake, and Databricks. Collaborate with cross-functional teams including data architects More ❯

We’re Looking For Proficiency in Python and machine learning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to work effectively within a team. Self-driven, with a proactive approach to leading projects and initiatives. Nice to Have Interest in More ❯

We’re Looking For Proficiency in Python and machine learning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to work effectively within a team. Self-driven, with a proactive approach to leading projects and initiatives. Nice to Have Interest in More ❯

We’re Looking For Proficiency in Python and machine learning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to work effectively within a team. Self-driven, with a proactive approach to leading projects and initiatives. Nice to Have Interest in More ❯

company focused on solving complex data problems using advanced analytics and machine learning. The team applies modern data science techniques to develop tailored solutions for a variety of use cases. With a strong emphasis on innovation, the company combines technical expertise with insights from experienced professionals to deliver impactful results across different industries. Key Skills Data Science (required More ❯

company focused on solving complex data problems using advanced analytics and machine learning. The team applies modern data science techniques to develop tailored solutions for a variety of use cases. With a strong emphasis on innovation, the company combines technical expertise with insights from experienced professionals to deliver impactful results across different industries. Key Skills Data Science (required More ❯

leads, and commercial teams. Key responsibilities include: Identifying opportunities where AI and data can deliver measurable customer and business outcomes. Rapidly developing and testing prototypes to validate AI use cases. Advising product and commercial teams on the practical application of GenAI and data-led insights. Staying ahead of developments in AI, machine learning, and data engineering, applying them More ❯

metrics and data. Integrate Dynatrace with various ITSM, CI/CD, and QA/performance testing tools . Build and deliver custom dashboards and visualizations tailored to customer use cases. Track and report APM KPIs , offering insight and recommendations. Conduct proof of concept (PoC) or proof of value (PoV) presentations to demonstrate tool capabilities and benefits. Maintain detailed More ❯

metrics and data. Integrate Dynatrace with various ITSM, CI/CD, and QA/performance testing tools . Build and deliver custom dashboards and visualizations tailored to customer use cases. Track and report APM KPIs , offering insight and recommendations. Conduct proof of concept (PoC) or proof of value (PoV) presentations to demonstrate tool capabilities and benefits. Maintain detailed More ❯

and optimize vector search capabilities (e.g., ScaNN, FAISS) for personalized product search and recommendations. • Design AI-powered agent systems to support customer service, inventory management, and sales enablement use cases. • Collaborate with retail clients to assess current infrastructure and define scalable cloud transformation strategies. • Lead the development of cloud-native microservices, event-driven systems, and ML pipelines using More ❯