701 to 725 of 845 Use Case Jobs in England

iterate in Figma (or your preferred tools). Collaborate daily with founders to turn product ideas into polished UI. Balance speed with user insight, always considering real-world use cases. Explore new ways to integrate AI while keeping human connection at the center. Bring fresh ideas, challenge assumptions, and push the team to think differently. About You Strong More ❯

a focus on automation, scalability, and reproducibility. Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. Take ownership of the most complex, high … Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here … become part of your employment record. In all cases, Tripadvisor will retain your information for a period after your application. Tripadvisor retains this information for various reasons, including in case Tripadvisor faces a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs and also to help us better understand, analyze and More ❯

dashboards, thereby driving efficiency and improving decision-making processes across the organisation. Key Responsibilities: Develop, test, and refine high-quality prompts tailored for DealCloud, Filament Sifter, and Capsa use cases. Work closely with AI vendors such as ChatGPT, Claude, and Perplexity to enhance prompt performance and relevance. Support the design and implementation of AI-powered chatbots within DealCloud … to embed AI-driven insights into dashboards and business workflows. Continuously monitor and improve prompt effectiveness, ensuring contextual accuracy and user satisfaction. Maintain clear documentation of prompt logic, use cases, and integration strategies. Skills and Experience: More than 3 years of experience in AI, NLP, or prompt engineering. Proven track record of designing and optimising prompts for LLMs … Capsa and Filament Sifter platforms is a strong plus. Ability to work cross-functionally with product managers, data scientists, and business stakeholders. Strong documentation skills for prompt libraries, use cases, and performance metrics. Experience collaborating with external AI vendors and managing technical partnerships. Understanding of ethical AI principles, bias mitigation, and responsible AI deployment. Familiarity with data privacy More ❯

patterns to support scalable AI workloads. Security, Ethics & Risk Management Embed Ethical AI, security-by-design, privacy, and regulatory compliance across all AI architectures. Define risk controls, safe-use policies and human-in-the-loop governance for autonomous agents. Stakeholder Engagement & Change Leadership Partner with C-level, Business, Product, Data Science and Engineering leaders to identify high-value … AI use cases and ensure adoption. Lead organisational change, operating model evolution, and education programmes to drive AI maturity. Innovation & R&D Continuously scan market trends, emerging technologies and research in Agentic AI, LLMs and enterprise AI patterns. Introduce forward-thinking AI capabilities and identify new business-value opportunities. Key Skills: 10+ years in IT, including 5+ years More ❯

About the Team We are seeking a highly organised and strategic individual to support the Chief Data Office (CDO) team in coordinating cross-team execution of priority business use cases, managing budgets, and driving data strategy initiatives for Group functions like HR, Finance and IT, in alignment with the enterprise data strategy. This role will work closely with … Program/Project Management: Lead the planning and coordination of new cross-team data initiatives within the CDO team, ensuring timely, fit for purpose execution of priority business use cases. Liaise across CDO and Technology teams to ensure deliverables are met, manage timelines, and oversee resource priorities and data delivery. Budget Management: Take ownership of the end-to More ❯

Master, PhD) Additional tasks: Designing and building data & AI platforms for our clients. Such platforms provide data and (Gen)AI capabilities to a wide variety of consumers and use cases across the client organization. Often part of large (AI) transformational journeys BCG does for its clients. Often involves the following engineering disciplines : Cloud Engineering Data Engineering (not building … Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps The difference to our "AI Engineer" role is: Do you "use/consume" these technologies, or are you the one that "provides" them to the rest of the organization. What You'll Bring TECHNOLOGIES: Programming Languages: Python Experience with additional More ❯

model reuse, version control, and deployment efficiency. Lead the design, development, and optimization of conceptual, logical, and physical data models to support analytics, reporting, machine learning, and transactional use cases. Collaborate with data engineering and architecture teams to ensure models are performance-optimized and aligned with storage, compute, and pipeline strategies. Manage delivery of Physicalised data models and … you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It More ❯

Design of Gen AI Models + RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). + Apply prompt engineering, RAG (Retrieval-Augmented Generation), and … training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape AI use cases. Contribute to the creation of a strategic AI adoption roadmap and reusable AI Workbench/ More ❯

Design of Gen AI Models + RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). + Apply prompt engineering, RAG (Retrieval-Augmented Generation), and … training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape AI use cases. Contribute to the creation of a strategic AI adoption roadmap and reusable AI Workbench/ More ❯

at insightsoftware.com Job Description We are seeking an experienced Power BI Functional Consultant to work closely with clients, understanding their financial and business needs and translating them into use cases that can be implemented using Power ON. Power ON extends Power BI's functionality by providing write back capability. This role involves engaging with stakeholders to scope and … define use cases, estimate implementation efforts, and deliver robust Power ON solutions that drive business insights and decision-making. The ideal candidate will have a strong mix of business acumen, technical expertise, and excellent communication skills. Key Responsibilities: Client Engagement & Business Analysis Engage with business stakeholders to understand their reporting, analytics, and data visualization needs Conduct discovery workshops … to gather requirements, define use cases, and assess data sources Translate business requirements into clear functional and technical specifications Provide recommendations on Power ON best practices, governance, and adoption strategies. Solution Design & Implementation Design scalable and efficient Power ON solutions, including data models, dashboards, and reports Develop datasets, measures (DAX), and visuals to support business insights Maintain data More ❯

and secure AI solutions. Key Responsibilities & Services Design & Deployment: Design, prototype, and deploy state-of-the-art Generative AI models (e.g., LLMs, Transformers, Diffusion models ) tailored for enterprise use cases. Application Development: Build, fine-tune, and deploy LLM-based applications such as advanced chatbots, summarization tools, document Q&A systems, and code assistants. Advanced Techniques: Apply sophisticated techniques … images, code). Deep knowledge of data preprocessing, tokenization, and embedding generation techniques. Hands-on experience working with Vector Databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Stakeholder & Strategic Partnership: Ability to partner effectively with business stakeholders to identify, shape, and prioritize high-impact AI use cases. Experience contributing to a strategic AI More ❯

and secure AI solutions. Key Responsibilities & Services Design & Deployment: Design, prototype, and deploy state-of-the-art Generative AI models (e.g., LLMs, Transformers, Diffusion models ) tailored for enterprise use cases. Application Development: Build, fine-tune, and deploy LLM-based applications such as advanced chatbots, summarization tools, document Q&A systems, and code assistants. Advanced Techniques: Apply sophisticated techniques … images, code). Deep knowledge of data preprocessing, tokenization, and embedding generation techniques. Hands-on experience working with Vector Databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Stakeholder & Strategic Partnership: Ability to partner effectively with business stakeholders to identify, shape, and prioritize high-impact AI use cases. Experience contributing to a strategic AI More ❯

of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance. Developing deep learning architectures and implementing neural networks tailored to complex use cases. Implementing and maintaining MLops workflows Collaborating closely with Data Engineers and DevOps teams to support continuous integration, deployment, and automation. Exploring new tools and frameworks to keep your … model development with broader product and business goals. Requirements UK SC Clearance or the ability obtain it. Awareness of deep learning model architecture and when is appropriate to use them. Strong understanding of how machine learning components integrate within the broader system architecture and contribute to overall project objectives. Understanding of how to use APIs to More ❯

the fastest growing businesses and top tier VCs globally. We help our clients and their portfolio companies build efficient, scalable and cost-effective data pipelines, high-ROI data use cases and world-class analytics teams. Our founding team previously built analytics at Bumble, from the beginning to $3 billion exit within 5 years. As we enter into our … data analyst that is, like the rest of the team, a perfect blend of technical capabilities and business focus. You will work on an exciting range of projects, use a variety of data tools, and have a direct impact on our clients’ products and customers. You will learn and grow with our team and our clients. What You … turn insights into action that drives business performance. Gather business requirements and build standardised KPI dictionaries with both business and technical definitions. Advise clients on high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing More ❯

the fastest growing businesses and top tier VCs globally. We help our clients and their portfolio companies build efficient, scalable and cost-effective data pipelines, high-ROI data use cases and world-class analytics teams. Our founding team previously built analytics at Bumble, from the beginning to $3 billion exit within 5 years. As we enter into our … data analyst that is, like the rest of the team, a perfect blend of technical capabilities and business focus. You will work on an exciting range of projects, use a variety of data tools, and have a direct impact on our clients’ products and customers. You will learn and grow with our team and our clients. What You … turn insights into action that drives business performance. Gather business requirements and build standardised KPI dictionaries with both business and technical definitions. Advise clients on high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing More ❯

Onboarding, and our Knowledge Base - and working with those teams to create new content where needed. Deliver high-level demos of Zutec's core solutions to illustrate adoption use cases during QBRs and customer sessions. Monitor usage and user journeys, identify risk signals, and take proactive action to address adoption challenges. Define, measure, and communicate customer ROI/… being hands-on with customers. Must-Haves 5-7+ years' experience in Customer Success for B2B enterprise software. Strong enterprise software experience - able to competently demo core use cases to customers. Proven ability to design adoption plans and drive measurable customer value. Excellent stakeholder management: confident engaging with C-suite, operations leaders, and day-to-day end … users. Strong commercial awareness - understands how Customer Success drives renewals, retention, and long-term account health. Analytical mindset: able to use data, adoption metrics, and ROI modelling to inform actions and tell the value story. Experience working in dynamic, scaling businesses - adaptable, flexible, and comfortable with change. Nice-to-Haves Knowledge of construction technology (ConTech), PropTech, or asset More ❯

conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches, wherever appropriate. Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices. Improve the efficiency, performance … interview process itself). Bonus points for Stack Overflow and Kaggle contributions! What we are looking for Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠 Ability to write clear, robust, and testable code, especially in Python 🐍 Familiarity with SQL and NoSQL/graph databases 🏦 Extensive experience with ML & DL platforms More ❯

unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases-within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers … unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases-within organizations, between brands, and across its premier global network of top-quality partners.Hundreds of global innovators, from iconic consumer brands and tech giants to retailers, financial services More ❯

rare opportunity to leave a lasting mark on a group thats fully committed to innovation. The Role As AI Implementation Manager, youll be responsible for identifying high-value use cases, designing and deploying AI solutions, and managing change across multiple business units. This role blends technical understanding with strong project leadership and stakeholder management. Youll: Develop and execute … on solving complex problems and leading digital change. Essential experience includes: Proven background in AI or digital transformation within manufacturing, FMCG, or a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability More ❯

to leave a lasting mark on a group that’s fully committed to innovation. The Role As AI Implementation Manager, you’ll be responsible for identifying high-value use cases, designing and deploying AI solutions, and managing change across multiple business units. This role blends technical understanding with strong project leadership and stakeholder management. You’ll: Develop and … on solving complex problems and leading digital change. Essential experience includes: Proven background in AI or digital transformation within manufacturing, FMCG, or a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability More ❯

diverse sources – including warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics. Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment. Ensure security and governance through robust access controls, including RBAC, SSO, token policies … mentoring, access to our exclusive academies, regular career conversations, and expert partner resources. Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities. Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues. We’re a proud More ❯

and ensure data becomes a true strategic lever for business growth and operational excellence. Key Responsibilities Lead data due diligence for new investments, developing value creation plans that use data as a driver of business improvement. Conduct data maturity assessments across portfolio companies, identifying opportunities to enhance data capabilities. Partner with portfolio leadership teams to execute data transformation … backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder management skills, with confidence engaging at C-level. Comfortable operating in fast-paced, ambiguous environments More ❯

and ensure data becomes a true strategic lever for business growth and operational excellence. Key Responsibilities Lead data due diligence for new investments, developing value creation plans that use data as a driver of business improvement. Conduct data maturity assessments across portfolio companies, identifying opportunities to enhance data capabilities. Partner with portfolio leadership teams to execute data transformation … backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder management skills, with confidence engaging at C-level. Comfortable operating in fast-paced, ambiguous environments More ❯

system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance. The goal is to deliver certified diagnostic tools for widespread use in labs, hospitals, and public health. EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. Position … access data (e.g., pathogen data catalogue, quality dashboards, management information reporting). Support innovation efforts by exploring new technologies such as vector databases to enable search and AI use cases. Design, develop, and maintain highly performant, scalable, and secure backend APIs using appropriate technologies (Python, NodeJS). Implement and manage data storage solutions including data lakes, data warehouses More ❯

AI models and algorithms. Working collaboratively with the team to ensure project deadlines are met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware … training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape AI use cases. Contribute to the creation of a strategic AI adoption roadmap and reusable AI Workbench/ More ❯