176 to 200 of 1,035 Use Case Jobs in the UK

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 ❯

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 ❯

you'll work closely with specialists in Data Engineering, BI, Analytics, and Data Governance to solve new and exciting problems - from customer personalisation models to forecasting and NLP use cases. You'll help productionise scalable machine learning pipelines, support automation, and drive continuous improvements in our data science practices. This is a fantastic opportunity for a curious, solutions More ❯

function, you'll work closely with specialists in Data Engineering, BI, Analytics, and Data Governance to solve new andexciting problems - from customer personalisation models to forecasting and NLP use cases. You'll help productionise scalable machine learning pipelines, support automation, and drive continuous improvements in our data science practices. This is a fantastic opportunity for a curious, solutions More ❯

to support the system analysis, modelling, design and delivery of our UXV navigation co-pilot platform. Our UXV platform operates autonomously in challenging environments, in civil and military use cases. At Archangel Autonomy , you will be working alongside a fun, forward-thinking experienced team to deliver transformative AI solutions. Our mission is to design and deploy AI technologies 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 ❯

an open and inclusive mindset, considering diverse stakeholder needs. Understanding contextual factors, constraints, and perspectives from a variety of stakeholders-including business, users, and operations-to define comprehensive use cases. Maintaining up-to-date knowledge of IT, security, emerging technologies, supplier offerings, and internal capabilities to construct innovative and accessible solutions. Applying broad technical expertise and creative problem 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 ❯

RAG (Retrieval-Augmented Generation) and embedding-based search solutions integrated with enterprise knowledge bases. Agent Orchestration & Autonomy • Build intelligent agents using CrewAI, LangChain or similar frameworks to support use cases like automated report generation, root cause analysis, and interactive user agents. • Implement feedback and memory mechanisms to support context-aware, evolving agents. AI-Native API & Platform Integrations • Develop … Build internal knowledge bases, vector stores, and wiki systems fueled by LLM summarization and indexing . • Advocate for internal AI adoption through tooling, workshops, and scalable use case frameworks. Preferred Qualifications Must-Have • Bachelor's degree in Computer Science, Data Science, AI/ML, or related field. • Strong experience with GCP ( Vertex AI, Google Studio and other More ❯

will investigate business situations, identify, and evaluate options for improving business processes and systems, and define requirements. You'll also be responsible for stakeholder management, ensure the effective use of information systems in meeting the needs of the business. Key responsibility includes the following: Gather, analyze, document, and manage business and user requirements (both functional and non-functional … through Agile methodology Relevant experience as a Business Analyst role Demonstrated experience in business and functional requirements elicitation, translation, and documentation. Experience in facilitating design and use case discussions Experience in a Systems Development Life Cycle (SDLC) environment Excellent written and spoken English language, effective communication skills It would be nice if you had Experience in working More ❯

a Systems Analyst, you will have a broad understanding of ITIL and Business Analysis. Demonstrable proficiency in the Business Analysis toolset, including process and user journey mapping, writing use cases and data modelling Effective communication and strong stakeholder management skills Problem-solver who is comfortable working with technology specialists and customer-focused and pragmatic in their approach to More ❯

a Systems Analyst, you will have a broad understanding of ITIL and Business Analysis. Demonstrable proficiency in the Business Analysis toolset, including process and user journey mapping, writing use cases and data modelling Effective communication and strong stakeholder management skills Problem-solver who is comfortable working with technology specialists and customer-focused and pragmatic in their approach to More ❯

a Systems Analyst, you will have a broad understanding of ITIL and Business Analysis. Demonstrable proficiency in the Business Analysis toolset, including process and user journey mapping, writing use cases and data modelling Effective communication and strong stakeholder management skills Problem-solver who is comfortable working with technology specialists and customer-focused and pragmatic in their approach to More ❯

role involves working with modern ML Ops practices and leveraging AI-powered tools to enhance efficiency and scalability. Key Responsibilities Develop and deploy machine learning models for various use cases including personalization and anomaly detection. Implement ML Ops practices such as monitoring, continuous integration, and automated retraining. Utilize AI-assisted development tools like Cursor and Copilot to improve More ❯

Understanding, Apps) Proven ability to design modular, reusable, and scalable automation workflows Experience integrating with APIs, databases, and external applications Knowledge of AI/ML models and automation use cases Familiarity with Power Automate, SQL, version control, and DevOps Agile working mindset with strong communication skills Bonus: Knowledge of Python, C#, PowerShell, and IT infrastructure concepts If you More ❯

and Analysis: Collaborate with stakeholders to elicit and document business requirements for functional enhancements to critical applications. Documentation and Specification: Create clear and concise functional specifications, user stories, use cases, and process flows based on gathered requirements. Stakeholder Collaboration: Work closely with stakeholders, including business users, testing teams, and project managers, to ensure effective communication and collaboration. Change 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 ❯