776 to 800 of 3,118 Use Case Jobs in the UK

organisation wide testing strategy Architects services and systems using well accepted design patterns to allow for iterative, autonomous development and future scaling. Guides teams in anticipation of future use cases and helps them make design decisions that minimise the cost of future changes Actively contributes to security designs based on the organisation's security strategy. Fosters a security More ❯

Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s) - ideally AWS is desirable, not essential. Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth. Nice to have: Databricks or Cloud Certification More ❯

GTM) partners, including consultancies, resellers, cloud marketplaces, ISVs, and system integrators Collaborate with partners to build joint value propositions and GTM plans tailored to priority industries and enterprise use cases Lead partner enablement efforts, including training, certifications, and sales collateral Serve as the partner’s advocate internally, sharing feedback to improve product and collaboration Structure and negotiate partnership More ❯

behave. Join us as a Senior Data Solution Designer at Barclays, supporting the BUK Data Foundations Programme, where you will help build designs/patterns for our different use-cases as we migrate from our On-premise warehouses to Cloud. In this role you will work alongside Data Product Owners, Platform Leads and Engineering Leads to help accelerate More ❯

with the platform for additional phases of their integration and expansion. The Technical Account Manager also works closely with the Relationship Management Team to roll out complex new use cases and new projects with existing customers. Successful candidates will be excited by the challenges of learning a highly technical product in an evolving regulatory environment, leading complex technical More ❯

client onboarding, data scanning and automated reporting activities. • Support AWS Cluster setup, configuration and health. • Support platform installations, configuration and health. • Support ongoing platform version releases, including testing, Use Cases and deployments. • Take ownership of Incident and Problem records, apply technical troubleshooting and problem-solving skills to methodically handle investigation activities, identify issues, restore services as quickly as More ❯

impact on people’s everyday lives. We’re looking for an experienced Data Scientist and help grow and strengthen our user base. You’ll work on high-impact use cases with millions of users, such as optimizing our existing scratch card rewards program or designing and launching entirely new initiatives from scratch. The technical challenges range from crafting More ❯

level problem solving. Key Responsibilities Design and build robust data orchestration pipelines to solve complex data challenges Develop scalable solutions capable of handling large datasets across diverse business use cases Ensure solutions are efficient, well-documented, modular, and easily adaptable Support clients in blueprinting, scoping, and prioritising technical requirements as part of digital transformation projects Guide customers in More ❯

onboarding and adoption plan that delivers timely production launches and maximizes product utilization. Consultative and Strategic Guidance: Lead value-driven engagements by uncovering customer pain points, challenges, and use cases, positioning Boomi as the strategic choice for Integration, Automation, APIM, AI, and Data Management. Provide validated industry, technical, and architectural insights from customer implementations to showcase Boomi's 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 ❯

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 ❯

dbt and, Airflow. Are an expert in data modelling and building scalable data pipelines. Have deep experience in reliability and monitoring solutions for business continuity, appropriate to the use-cases at hand. Are naturally curious and enthusiastic about experimenting with new tech to solve complex problems in a scalable manner. Can effectively translate product requirements and challenging problems More ❯

metrics. Analyze data for government compliance reports based on Syndio-generated templates and processes, including pay reporting required by the EU Pay Transparency Directive. Translate custom analytics into use cases within the product and product requirements while supporting product and development teams as needed on design and implementation plans. Participate in comprehensive, ongoing training to gain in-depth More ❯

quality and who can identify opportunities for improvement in data, tracking and measurement processes. KEY RESPONSIBILITIES Data Requirements Gathering – Ensure data requirements are captured appropriately for intended business Use Cases across Marketing Data, Operations Data and Web/App Features. Analytics Implementation – Build and support end-to-end data implementation processes across digital platforms, ensuring alignment with business More ❯

an exceptional experience for JLR’s customers. In this role, you will play a key part in shaping the AI & Data Science capabilities of the team. You will use advanced techniques to generate insights into our systems and how customers operate their vehicles, across a variety of use cases. You’ll lead the development of new … best practice techniques and continuous improvement, and work closely with the Chapter Lead to develop others. Key Accountabilities and Responsibilities Understand data requirements of stakeholders, including problem scoping Use statistical techniques to deliver robust and accurate results, considering variable data quality, and clearly communicate conclusions and insights to stakeholders Algorithm development and selection, as well as model training … delivered tangible business value Strong math, statistics and probability skills, with a strong level of ability to structure, analyse and interpret data Competent with SQL and Python, and use of Jupyter Notebook environment (or similar) Strong understanding of machine learning techniques such as time series modelling, regression, classification, clustering and anomaly detection Capable of explaining data science concepts More ❯

/background in networking, firewalls, VPNs, and security best practices Deep knowledge and skill with database (SQL Server, MySQL, PostgreSQL, or Oracle) systems including data architecting for enterprise use cases. Experience with data collection tools (ELK Stack, Splunk) for setup, configuration, and utilization for analysis, monitoring, and various other data repository use cases. Strong experience with … Infrastructure as Code (IaC) languages with advanced/expert use (Terraform, Ansible, Pulumi, or CloudFormation). Experience with containerization of data platforms and infrastructure integration with container platforms like Kubernetes. Leadership experience in infrastructure teams, driving automation, scalability, and security. Advanced experience with scripting and automation using Python, PowerShell, or Bash languages. Detail oriented individual with good verbal More ❯

software technology which, at its core, integrates and collects data from digital and voice communication platforms making it available for business insights, customer experience, and risk and compliance use cases. The solution incorporates AI technology, including speech to text, and large language models (LLM) to analyse this data both in real-time and near real-time. The target … heavily regulated industries. Experience managing big data technology product roadmaps Experience with VoIP technology that is used in telephony and unified communication platforms. Experience with AI and the use of LLMs More ❯

software technology which, at its core, integrates and collects data from digital and voice communication platforms making it available for business insights, customer experience, and risk and compliance use cases. The solution incorporates AI technology, including speech to text, and large language models (LLM) to analyse this data both in real-time and near real-time. The target … heavily regulated industries. Experience managing big data technology product roadmaps Experience with VoIP technology that is used in telephony and unified communication platforms. Experience with AI and the use of LLMs More ❯

techniques to drive investment and trading decisions, analyze their portfolio, gauge risk and more. This shift is occurring for all types of users - Bloomberg Terminal users, clients who use Excel, and Quant users who use data science platforms such as BQuant. Clients are looking to perform workflows that were previously not possible, which tend to be … more data and compute intensive. We created the Bloomberg Query Language (BQL) for these users and use cases. Legacy data delivery mechanisms (APIs) require clients to download massive volumes of data and perform their custom analysis on their desktops. BQL is a step-change in functionality - clients can ask questions of our content and receive answers quickly and More ❯

of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package. Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Receive a new Apple MacBook Pro, as well as meaningful home office set-up. Our Stance We're eager to … to tell your story, we are all ears. About us Taktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of More ❯

software technology which, at its core, integrates and collects data from digital and voice communication platforms making it available for business insights, customer experience, and risk and compliance use cases. The solution incorporates AI technology, including speech to text, and large language models (LLM) to analyse this data both in real-time and near real-time. The target … heavily regulated industries. Experience managing big data technology product roadmaps Experience with VoIP technology that is used in telephony and unified communication platforms. Experience with AI and the use of LLMs Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Product Management and Information Technology Industries Information Services Referrals increase More ❯

drive collaboration, particularly where there are service dependencies. Define and document AWS architecture for migration (baseline, target, roadmap, patterns, standards, reference architectures, etc), supporting a wide range of use cases. Run architectural reviews of the platform at appropriate intervals to take best advantage of vendor technologies. Pro-actively define, optimize, automate, publish and communicate deployment patterns for migration. … incident management. Driving the adoption of automation in the platform, using common methods with other platforms. Documentation of deployed systems, scripts and other working practices to enable re-use and support users across the world. About you You will have experience in many of the following: Cloud Migration experience Experience in Cloud Platform Architecture with AWS, defining cloud … working within an Agile framework. Good understanding of AWS security concepts and the goals of cyber security. Good communication skills both verbal and written. Motivating the team to use new tools to improve efficiency and breaking barriers to set new standards. It would be great if you also had experience in some of these, but if not we 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. What you'll need to succeed: Hands-on experience working with LLM such as GPT … chatbots, summarisation tools, content generation workflows, or intelligent data extraction pipelines. Deep understanding of NLP fundamentals: text preprocessing, language modelling, 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 ❯

and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams. Develop efficient data querying infrastructure for both offline and online use cases. Collaborate with cross-functional teams from multidisciplinary science, engineering, and business backgrounds to enhance current automation processes. Learn and understand a broad range of Amazon's data resources … and know when, how, and which to use and which not to use. Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations. BASIC QUALIFICATIONS 2+ years of data scientist experience. 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc. More ❯