51 to 75 of 128 Use Case Jobs in Central London

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 ❯

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 ❯

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 ❯

a key driver of strategic decisions, creating tangible value for both customers and the business. Key Responsibilities Develop and deliver the data science strategy and roadmap, prioritising impactful use cases. Collaborate with key stakeholders to embed data-driven decision-making across functions. Lead and mentor a team of data scientists, ensuring consistent innovation and high-quality outputs. Communicate 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 ❯

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 ❯

Gather, document, and refine business and non-functional requirements to align with stakeholder goals. Map workflows, analyse processes, and propose solutions to enhance efficiency. Translate user needs into use cases/user stories for clear project delivery. Collaborate with technical teams and vendors to integrate cloud technologies. Support testing, implementation, and post-launch reviews to ensure compliance and … Degree in Engineering, Technology, or related field. 5+ years in business process analysis; prior business analyst experience preferred. Strong skills in documenting requirements, process mapping, and use case development. Familiarity with Waterfall/Agile methodologies and cloud/client-server architectures. Proficient in MS Visio, PowerPoint, and Excel; experience with international teams a plus. Excellent communication, stakeholder More ❯

data-driven decision making. You will work closely with underwriters, data engineers, actuaries, and technology teams to capture, and implement business and technical requirements—delivering robust data science use cases that are embedded into dashboards, data assets and the Underwriter Workbench. The ideal candidate will have: A strong background in Data Science, Statistics, or a quantitative discipline. Proven More ❯

the company-wide AI vision, roadmap, and execution plan. Build and manage a cross-functional AI and data science team. Partner with business leaders to identify high-value use cases and deliver AI solutions that drive measurable ROI. Drive ethical and responsible AI practices aligned with regulatory standards and brand values. Collaborate with IT, product, data engineering, and More ❯

Engineering, Product, and Data Oversee technical delivery: Braze SDKs, APIs, event and attribute mapping, segmentation, journeys, and channel configuration (email, push, in-app, SMS) Align implementation with client use cases, business goals, and marketing strategies Guide integration of Braze with existing systems (e.g., CDPs, analytics, CRMs) Deliver onboarding, documentation, and training to empower client teams Ensure data privacy More ❯

Events: Represent Veezoo at industry conferences and workshops, converting engagements into qualified opportunities. Market Expertise : Deepen Veezoo’s presence in the DACH region by identifying key industries and use cases for our platform. Cross-Functional Collaboration: Partner with Customer Success to ensure smooth onboarding and lay the groundwork for long-term client growth. Qualifications Proven Enterprise Sales Track More ❯

most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for Compensation & Benefits Specialist to join our team based in London, UK. Our Mission At Humanoid we strive to create the More ❯

articulate quick wins, and tactics to realize benefits with DX for the respective business/service. Strongly collaborate with DX team members and support with DX use case roll outs for different businesses in various countries Conduct digital due diligence on a target company prior to investment decisions Understand adequate depth and breadth of emerging tech such More ❯

face of our organization, working directly with clients to architect and deploy computer vision solutions using the YOLO ecosystem. Key responsibilities include: Collaborating with clients to understand their use cases and challenges, architecting end-to-end solutions using YOLO models. Delivering high-quality technical demos, onboarding sessions, proof-of-concepts, and workshops that demonstrate the power of Ultralytics More ❯

most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission: At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily More ❯

by sharing ML best practices and helping to build a culture of technical excellence. Stay current with emerging ML techniques and technologies, and evaluate their potential for our use cases. Support team delivery and maintain clear communication on changing goals, plans, or requirements. Qualifications Hands-on experience working with LLM such as GPT, LLaMA, Claude, or similar, including … chatbots, summarization tools, content generation workflows, or intelligent data extraction pipelines. Deep understanding of NLP fundamentals: text preprocessing, language modeling, and semantic similarity. Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and More ❯

support enterprise blockchain projects and guide the strategic integration of tokenization and digital asset capabilities. Your Key Accountabilities Blockchain Assessment & Advisory: Evaluate blockchain platforms and protocols for enterprise use, focusing on scalability, performance, security, and interoperability. Tokenization Strategy: Design and assess tokenization frameworks for regulated financial products, such as mutual and money market funds. Solution Review: Provide critical … smart contracts (e.g., Solidity) and integrating blockchain with enterprise systems. Familiarity with financial services, particularly in asset management and fund distribution. Proven ability to design or evaluate tokenization use cases. Strong communication and stakeholder management skills. Preferred: Experience working with financial regulators or in a regulated financial environment. Awareness of industry initiatives like Project Guardian, Project Jura, and More ❯

with strong Python and AI experience. You’ll need to be comfortable working in a fast-paced, collaborative environment and able to bridge technical experimentation with real investment use cases. If you have finance experience, that's great, but no worries if not, as long as you're willing to learn and engage with senior stakeholders. Key experience 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 ❯

business needs. Develop strategies for integrating with existing systems, and ensure APIs are designed for extensibility and maintainability. Evaluate and recommend appropriate technologies, frameworks, and tools for specific use cases. Cloud Architecture (AWS): Lead the design and implementation of cloud-native applications on AWS, leveraging services such as EC2, S3, RDS, Lambda, and others. Ensure that security, performance More ❯

data and AI necessity; Value strategy; Data science tools (SQL, python) Augmented insights tools (Power BI); E2E solutioning - ability to turn ecosystem plays into client value - use-case mapping - IP Development; Accelerators for industry use-cases; Data & AI Strategy Development: Formulating strategies for AI and GenAI implementation, identifying key use cases, and outlining More ❯

format they use to guide the consumers of that control 1.Engineering Guardrails that help security control users identify the strategic solution to meet their use case and map to the appropriate engineering pattern a. Depending on the type of security control, the security control users would know the use case they need … technology/platform or environment/datacentre. But when those variables do impact HOW a user onboards a given security control, patterns specific to their overall use case is required. Each technology that is used to meet security use cases will have engineering patterns documented. Engineering patterns will be mapped to an engineering guardrail There … each variation that is needed to meet known use cases. Contractor will work with relevant Product Owner and Engineering Leads to identify each unique use case that requires an engineering pattern Contractor will work with feature team's engineers to populate the engineering pattern for each unique use case Initial engineering patterns More ❯

behaviour, and suggested enhancements based on client interactions and market insights. Conduct comprehensive industry research, including competitor analysis and exploration of emerging trends. Identify new markets and potential use cases for the platform, aligning opportunities with product capabilities. Based on this research, create new use cases on the platform to address identified needs. Act as a … features to internal teams, focusing on how these features can enhance client outcomes and drive upsell opportunities. Additionally, train service teams on the requirements and implementation of new use cases to ensure readiness and success. About You A background in accounting , taxation , or finance is essential , along with a basic understanding of accounting principles, regulatory issues, and tax More ❯

behaviour, and suggested enhancements based on client interactions and market insights. Conduct comprehensive industry research, including competitor analysis and exploration of emerging trends. Identify new markets and potential use cases for the platform, aligning opportunities with product capabilities. Based on this research, create new use cases on the platform to address identified needs. Act as a … features to internal teams, focusing on how these features can enhance client outcomes and drive upsell opportunities. Additionally, train service teams on the requirements and implementation of new use cases to ensure readiness and success. Qualifications A background in accounting , taxation , or finance is essential , along with a basic understanding of accounting principles, regulatory issues, and tax systems. More ❯