51 to 75 of 871 Use Case Jobs in London

engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof … Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the More ❯

other facets of your life outside of work. In this role, you'll get to Provide ThreatConnect platform training for software admins and analyst users while supporting various use cases of the product Have the ability to map customer processes, intelligence requirements, and infrastructure into ThreatConnect's capabilities/data modeling Eliminate any customer or internal bottlenecks impeding More ❯

Hello! We're Teya. Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance. At Teya we believe small, local businesses are the lifeblood of our communities. We're here … surface relevant trends, and drive data-informed decisions Partner with data engineering to design and maintain scalable, reliable data models and ETLs that underpin both operational and strategic use cases Help define and analyse fraud and AML KPIs, helping the business plan and course-correct with confidence Promote a culture of data-driven decision-making across the organisation More ❯

What you will do Actively contribute to product development, able to interpret requirements and deliver independently. Work closely with business stakeholders to translate business requirements into data science use cases, proactively reaching out in ambiguous situations, adapting to feedback and generating insights/solutions backed by data to drive the decisions. Collaborate with DS and MLE team members More ❯

to-market stakeholders to define requirements, prioritize work, and help market the new product capabilities. Engage with external developers, partners, and customers to understand their needs, explore new use cases, and identify opportunities for collaboration. Define and articulate the vision and roadmap for the Ecosystem team, ensuring alignment with organizational goals, strategy, and customer needs. Evangelize the platform … customer-centric product management platform that helps organizations get the right products to market, faster. Over 5,500 companies, including Zoom, One Medical, Cartier, Microsoft, and Korn Ferry, use Productboard to understand what customers need, prioritize what to build next, and rally everyone around their roadmap. With offices in San Francisco, Brno, and Prague, Productboard is backed by More ❯

architecture sessions, and customer pilots. Be a public-facing voice in the developer community — through blogs, meetups, events, and webinars — with a focus on the real-world enterprise use cases of AI tooling. 🧩 What We’re Looking For Strong engineering background — ideally in Python, backend systems, APIs, and cloud platforms (AWS, GCP, Azure). Deep understanding of enterprise More ❯

architecture sessions, and customer pilots. Be a public-facing voice in the developer community — through blogs, meetups, events, and webinars — with a focus on the real-world enterprise use cases of AI tooling. 🧩 What We’re Looking For Strong engineering background — ideally in Python, backend systems, APIs, and cloud platforms (AWS, GCP, Azure). Deep understanding of enterprise More ❯

solutions (such as detecting unusual login patterns or automating access control suggestions). Collaborate with engineers, IAM consultants, and architects to learn and contribute to real-world AI use cases in cybersecurity. Help collect, clean, and prepare data for model training and analysis. Stay curious and up to date with developments in AI, identity, and security fields. Participate More ❯

such as Ping Identity, Okta, or Auth0, with support for OAuth2, OIDC, and JWT. • Collaborate with mobile app teams to ensure backend services are optimized for mobile-specific use cases such as performance, caching, and offline access. • Own end-to-end technical delivery, including code quality, performance optimization, security best practices, and CI/CD integration. • Perform code More ❯

such as Ping Identity, Okta, or Auth0, with support for OAuth2, OIDC, and JWT. • Collaborate with mobile app teams to ensure backend services are optimized for mobile-specific use cases such as performance, caching, and offline access. • Own end-to-end technical delivery, including code quality, performance optimization, security best practices, and CI/CD integration. • Perform code More ❯

such as Ping Identity, Okta, or Auth0, with support for OAuth2, OIDC, and JWT. • Collaborate with mobile app teams to ensure backend services are optimized for mobile-specific use cases such as performance, caching, and offline access. • Own end-to-end technical delivery, including code quality, performance optimization, security best practices, and CI/CD integration. • Perform code More ❯

off-the-shelf applications through to designing bespoke applications. Run workshops with clients to elicit business requirements and use cases. Product backlog development. Drafting user stories. Business case development. Project scoping and quoting. Business solution architecture & solution design. Contributing to innovation within the business analysis and product ownership domain. Mentorship of more junior members of the team. More ❯

real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing. By enabling users to define different data pipelines per use case, we provide deep Observability and Security insights, at an infinite scale, for less than half the cost. About the Position Technical Account Managers in my client are key in More ❯

real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing. By enabling users to define different data pipelines per use case, we provide deep Observability and Security insights, at an infinite scale, for less than half the cost. About the Position Technical Account Managers in my client are key in More ❯

user needs and work accordingly with identifying new features in the data Developing Data Science and Engineering Infrastructure and Tools Deriving key metrics suitable for the use-case and presenting the analysis to key stakeholders. Who we are looking for: We are committed to responsible gambling, and we are looking for people who can support our ethos. More ❯

within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases—from creative applications to process optimization. In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling More ❯

engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of More ❯

preferred. Ability to deal with ambiguity and knowledge working with data is preferred. Key job responsibilities You must be able to: Work with internal customers to understand their use cases and their existing solutions. Collaborate with partner engineering teams to drive the product roadmaps for compliance and safety. Address bottlenecks, provide customer input, anticipate and make tradeoffs and More ❯

understanding of the data pipeline's ETL processes and how they fit into the overall application architecture. Collaborate closely with stakeholders and researchers to support analytical and product use cases Evaluate data sources to understand the content and how it fits with our feature requirements, identifying missing or erroneous data. Architect and build data pipelines which fetch data More ❯

development of Azure Cloud Modernization offerings for customer’s Cloud-native and Cloud-agnostic needs focused on accelerated public cloud adoption. This includes but is not limited to use-cases such as cloud foundations, cloud migration at scale, modern container platforms, infrastructure automation, Azure Cloud services adoption, Azure Cloud security, Azure DevSecOps etc. Technical Expertise: You will leverage More ❯

software engineering, data engineering, and distributed systems knowledge to build modern enterprise payment applications. Build reliable, high-throughput, low-latency microservices to power a diverse range of trading use cases Engage in the complete software development lifecycle by collecting requirements, showcasing solid software design principles, and maintaining operational excellence through unit and integration testing Be a true owner More ❯

inference to Search workflows. ML inference has become a crucial part of the modern search experience whether used for query understanding, semantic search, RAG, or any other GenAI use-case. Our goal is to simplify ML inference in Search workflows by focusing on large scale inference capabilities for embeddings and reranking models that are available across the Elasticsearch … the service and work with the team to ensure knowledge is shared and best practices are followed Improving the cost and efficiency of the platform, making the best use of available infrastructure Adapting existing solutions to use our inference service, ensuring a seamless transition What You Bring 5+ years working in an MLOps or related ML … vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer More ❯

of the advanced analytical strategy for MRS GM ensuring decentralised analytical units have the technical support required. Furthermore, support areas without capability in exploring their respective advanced analytical use cases. Build and maintain automated, fault-tolerant, scalable data solutions that are continuously delivered into our production environment. Be technically curious, tackling problems without giving up, and producing solutions … that more junior analysts can use, maintain, and learn from. Gather, understand and document detailed business requirements for data using appropriate tools and techniques, and ensure these are agreed at all levels throughout the business. Monitor, validate and reconcile the data collected on an ongoing basis, establishing internal confidence in the accuracy of the data available. Continuously scout More ❯

and Technology organization and is responsible for designing, launching, and managing the strategy of the Delivery Service Partner (DSP) program around the world across all of its various use cases. As a critical member of the actuarial data science team, this position will be responsible for driving our capabilities around pricing, performance drivers, and portfolio economics. You will More ❯

understanding their Generative AI needs. Solution Design & Architecture: Analyze customer business and technical requirements to design comprehensive solutions that address their needs, with a focus on Generative AI use cases. Develop and present solution architectures, including diagrams, documentation, and best practices, with a focus on integrating Generative AI components. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure More ❯