101 to 125 of 671 Use Case Jobs in London

Agent Mesh, articulating its value proposition to technical and business stakeholders Solution Design: Create reference architectures and proof-of-concepts demonstrating Solace Agent Mesh capabilities in AI-driven use cases Customer Engagement: Lead technical discovery sessions, workshops, and demonstrations to identify customer needs and position Solace solutions Competitive Analysis: Maintain deep knowledge of competitive AI orchestration platforms and More ❯

of bespoke customer solutions. Stay current on our evolving product suite, industry trends, and competitor offerings. Contribute to internal sales enablement efforts by creating demo environments, use case collateral, and training materials. Mentor and help upskill the broader sales team on technical selling. Minimum requirements of role 5+ years in a customer-facing technical role (e.g., Solutions More ❯

workflows. Implement and optimise LLM-based systems, RAG pipelines, and AI agent architectures for complex property management workflows. Work with cross-functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer-facing and internal tools. Collaborate with MLOps and platform More ❯

productivity, agility, and decision excellence for large enterprise customers. Partner with product management and strategy teams to contribute to product strategy, roadmap, and the creation of compelling visual use cases that demonstrate the real-world benefits of Anaplan Intelligence and AI - bringing market, customer, and competitive insights that shape innovation priorities. Evangelize Anaplan Intelligence externally , representing Anaplan at More ❯

Desirable: Experience with Generative AI and LLMs for delivering advanced solutions Familiarity with diverse database types (SQL, NoSQL, graph, document, etc.) and selecting the right fit for specific use cases Knowledge of infrastructure automation using tools like Terraform, CloudFormation, or AWS CDK Exposure to front-end technologies (preferably Vue.js with TypeScript) to collaborate effectively with front-end teams More ❯

Desirable: Experience with Generative AI and LLMs for delivering advanced solutions Familiarity with diverse database types (SQL, NoSQL, graph, document, etc.) and selecting the right fit for specific use cases Knowledge of infrastructure automation using tools like Terraform, CloudFormation, or AWS CDK Exposure to front-end technologies (preferably Vue.js with TypeScript) to collaborate effectively with front-end teams More ❯

continuous improvement of our Clinical Knowledge Graph (Clinical Intelligence) platform. This role is pivotal in enhancing technical architecture, streamlining processes, and ensuring high-quality delivery aligned with customer use cases. Key Responsibilities Design, develop, and maintain scalable data pipelines using SPARQL and Python. Create and optimize complex SPARQL queries for data retrieval and analysis. Develop graph-based applications More ❯

continuous improvement of our Clinical Knowledge Graph (Clinical Intelligence) platform. This role is pivotal in enhancing technical architecture, streamlining processes, and ensuring high-quality delivery aligned with customer use cases. Key Responsibilities Design, develop, and maintain scalable data pipelines using SPARQL and Python. Create and optimize complex SPARQL queries for data retrieval and analysis. Develop graph-based applications More ❯

OUTSIDE IR35) This role offers a great opportunity for a Software Engineer to join a high-performing data function building out infrastructure for cutting-edge ML and LLM use cases. You'll work closely with Data Engineers and Data Scientists to design clean, production-ready systems that support model training, fine-tuning, and deployment. The environment values autonomy More ❯

e.g., AWS). Ability to analyze, design, and optimize business processes through technology and integration. Demonstrated experience guiding customers and project teams in adopting emerging technologies for business use cases. Extensive experience with end-to-end Salesforce platform implementations, with direct Salesforce development experience being a plus. Proven ability to define system designs, identify current state gaps, and More ❯

have demonstrated expertise in change management, partner engagement, and driving adoption of new technologies. You have a track record in developing and executing AI/automation strategies and use cases. You have excellent communication, facilitation, and influencing skills across diverse, global teams. You will be analytical, used to solving problems and decision-making , with financial knowledge and a More ❯

Platform team acts as the central enabler of machine learning and AI initiatives across the organization. Its mission is to reduce operational overhead and maximize ROI from ML use cases. As the backbone of ML operations, the team builds and maintains critical infrastructure, including feature stores, model deployment pipelines, experiment tracking systems, and monitoring frameworks. By working closely More ❯

customer data platforms for large organisations and will be comfortable integrating multiple complex data sets, so clients better understand their customers and how to activate them for marketing use cases. During client projects you will lead cross functional teams to promote a customer-centric vision, often providing pivotal guidance for data driven decision-making, data integration and enhancing More ❯

needed. Design thoughtful experiments in evaluating the tradeoffs between latency and accuracy on the end customer use case. Integrate the model with the downstream use case and fully own the end metrics. Maintain and improve all existing ML applications in the product Read research papers and develop ideas on how they could be applied to … video security use cases, and convert those ideas to working code. Requirements You should be a good software engineer who enjoys writing production-grade software. Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning) Keeping up with the latest in deep learning research, reading research papers, and familiarity with the latest developments in More ❯

fidelity fuel for AI-powered applications-including advanced analytics, real-time personalisation engines, and AI agents. Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications. Thousands … We're looking for a technically savvy, data-driven individual who thrives in a fast-paced environment and enjoys working with data teams to co-design solutions, implement use cases, and demonstrate impact. The role involves close collaboration with cross-functional teams-Engineering, Product, Sales, Support, and Marketing-to optimise customer strategies and expand use cases. … to support customer accounts, collaborating with them to deliver value within their unique and complex organisations. Provide consultation and advisory support to customers regarding solutions and use case development, by providing actionable execution of success criteria and solutioning complex problems. Work with customers to identify, diagnose and resolve technical challenges with their Snowplow solution - including front-end More ❯

the value of their customer base. Responsibilities: Create scalable solutions to solve real-world challenges like demand forecasting, personalisation, and customer segmentation Translate business problems into data science use cases and deliver measurable outcomes Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Collaborate with stakeholders to More ❯

the value of their customer base. Responsibilities: Create scalable solutions to solve real-world challenges like demand forecasting, personalisation, and customer segmentation Translate business problems into data science use cases and deliver measurable outcomes Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Collaborate with stakeholders to More ❯

teams to contain and remediate security incidents. Create dashboards, workbooks, and reports for stakeholders. Perform threat hunting activities and support continuous improvement of SOC processes. Maintain and enhance use cases, playbooks, and automation (e.g., with Logic Apps or SOAR). Ensure SIEM solutions are properly integrated with data sources (e.g., firewalls, endpoints, cloud services). Support compliance and More ❯

in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. More ❯

in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. More ❯

our product and implement it for customers, and future opportunity to grow and lead with our Customer Engagement team. As the world continues to find new and innovative use cases for Artificial Intelligence, you will be at the forefront of this, deploying truly boundary-pushing technology into some of the world's largest businesses and helping to create More ❯

work, can comfortably work through uncertainty, and stays focused on making forward progress toward your goals. You're also curious about how vehicle market trends and downstream product use cases can inform your roadmap. You are a problem solver and go-getter, not deterred by roadblocks, and focused on delivering results. Together, we are helping customers enhance their More ❯

technical expert on Luminance's platform, supporting the sales team in converting prospects into customers by highlighting integration benefits and our solutions for making integration seamless. Understand individual use cases and integration requirements, advising customers on the best solutions to achieve success quickly and identifying opportunities to iterate on what we provide. Get hands-on and build integrations More ❯

across environments such as applications, infrastructure, web, APIs, O365, Azure, AWS, and OT, using current threat landscape knowledge and attacker TTPs. Develop and maintain detailed test plans and use cases informed by threat intelligence analysis. Identify and prioritize critical OT and IT assets based on potential threats and exposure. Plan and schedule testing engagements based on threat assessments More ❯

rising talent within the team. Develop a clear vision for the domain they focus on. Demonstrate positive impact and leadership across the organization. Architect design solutions for various use cases, considering business and application needs, and communicate effectively with teams and partners. Master software design principles, shaping scalable, resilient, and stable coding methodologies. Possess a deep understanding of More ❯