26 to 50 of 1,035 Use Case Jobs in the UK

Company Overview: Atreides helps organizations transform large and complex multi-modal datasets into information-rich geo-spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high-fidelity data solutions to enable customers to derive insights quickly. We are a fast-moving, high-performance startup. We value a diverse More ❯

growth mindset needed to build a successful team A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use … Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities. Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics. Ability to translate business needs into analytical frameworks & superior verbal and written communication skills Working understanding of ML Ops and DevOps More ❯

Customer Success Tower within the Enterprise Data & AI (EDAI) Team, you will work closely with a group of customers within FIS to help define and deliver Data & AI use cases for that line of business. Key responsibilities include: Product Strategy & Roadmap - Define and communicate the product vision and strategy for Data & AI use cases for your … stakeholders to gather feedback, understand their needs, and ensure the Data & AI products deliver value. Act as the voice of the customer within the EDAI team. Use Case Definition - Identify and define Data & AI use cases that address business challenges and opportunities, working closely with data scientists and engineers to develop solutions. Opportunity Optimization - map More ❯

capabilities across our cybersecurity solutions. This role focuses on building trustworthy, explainable, and performant software and AI features-while ensuring compatibility with deployment environments that may restrict the use of cloud-based or internet-connected AI services. You will collaborate closely with cross-functional teams to shape the roadmap and execution of offline machine learning models and governed … investment in high-impact capabilities. Conduct and synthesise competitor intelligence to identify industry benchmarks, gaps, and differentiators-informing both product positioning and long-term AI strategy. Use Case Identification and Validation Identify high-value software and AI use cases in the context of intelligent file protection and the broader cybersecurity landscape. Validate feasibility with stakeholders … ensuring solutions are viable without reliance on cloud-based AI inferencing or LLM endpoints. Gather and elicit model requirements from defined use cases to enable agile development, rapid feedback loops, and continuous iteration across the delivery lifecycle. Collaboration with Data Science and Engineering Teams Define model specifications, input/output schemas, and security constraints suitable for self-contained More ❯

development teams to design technical solutions that meet business needs. Ensure that solutions are scalable, maintainable, and align with the company's technical architecture. Create detailed documentation, including use cases, process flows, and data models. 3. Project Management: Assist in the planning and execution of projects, ensuring they are delivered on time and within scope. Coordinate with cross More ❯

action we take, guiding us to deliver impact where it matters most. Connect to your opportunity Key Responsibilities: Lead client engagements to identify and define high-impact AI use cases across various business functions. Conduct feasibility assessments, develop solution architectures, and define data requirements for AI initiatives. Design end-to-end AI solutions, outlining data pipelines, model architectures More ❯

stakeholders. 5. Data Requirements Work with internal and customer teams to define precise data requirements Ensure data collection and modelling approaches align with key business objectives and analytical use cases. 6. Data Capture Perform data wrangling and data mining to prepare high-quality datasets for advanced modelling and analysis Proactively identify and resolve data capture issues, collaborating with More ❯

Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive towards a More ❯

Accountabilities Azure Security Engineering Design, implement and maintain security controls in Azure environments (subscriptions, resource groups, network security, Key Vault). Implement and configure Microsoft Sentinel for SIEM use cases: log ingestion, analytics rules, playbooks and workbooks. Deploy and manage Microsoft Defender solutions (Defender for Cloud, Defender for Servers, Defender for Containers) to harden Azure workload Vulnerability & Patch More ❯

integration techniques to connect various data sources Maintaining documentation, including data flow diagrams, technical specifications, and processes. Designing and implementing tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, etc. Developing various components More ❯

environment, in which considered risks taking can occur and innovation thrives Exposure and awareness of modern-day programming languages Demonstrable understanding of PaaS/SaaS/IaaS and use cases and best practices in public cloud Proven awareness of the latest developments in today's public cloud industry (AWS/Azure etc) and related industry benchmark/best More ❯

identify suspicious activity. Security Tool Management: Manage and optimise SIEM tools, ensuring they are properly configured and updated to maximize effectiveness. Own the development and implementation of SOC Use Cases Evaluate new security technologies and recommend enhancements to the security infrastructure. Collaboration: Collaborate with cross-functional teams, including IT, legal, and management, to address security incidents and implement More ❯

product and product-related thought leadership content to support customers on their learning journey and for Growth/Demand marketing to use for audience, use case, or vertical-specific campaigns. -5+ years of product marketing experience at an enterprise software company, preferably including PMM experience in early-stage AI startups -Excellent writing skills for … related discipline) About You As our second product marketer, you will lead the marketing of the Encord Platform. This will include owning how we message Encord across targeted use cases, verticals, and personas. This is a critical role for the business, and you will become the subject matter expert for the end-to-end platform. The impact you … insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. Our work is at the cutting edge of computer vision and deep learning, which More ❯

you'll be doing Design, develop and deploy scalable web applications and services, being part of everything from contributing to web technology and framework stack, to use case and data model design Drive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timeline Partner with security and compliance teams to More ❯

you'll be doing Design, develop and deploy scalable web applications and services, being part of everything from contributing to web technology and framework stack, to use case and data model design Drive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timeline Partner with security and compliance teams to More ❯

you'll be doing Design, develop and deploy scalable web applications and services, being part of everything from contributing to web technology and framework stack, to use case and data model design Drive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timeline Partner with security and compliance teams to More ❯

analysis, management, and testing-especially within trading, market data, and analytics platforms. This role offers a unique opportunity to contribute to data-driven initiatives supporting trading and analytics use cases across the Oil & Gas domain. Key Responsibilities Gather, define, and document business and data requirements for analytics and reporting projects. Conduct data profiling, gap analysis , and root cause More ❯

build and deliver. Required Skills Experience in using GenAI in Test Automation e.g. GitHub Copilot or equivalent Excellent Problem-Solving skills and interpersonal skills. Ability to convert business use cases and problems into technical test solutions. Proven history of being accountable for the overall quality of the product and services within that product. Experience in working closely with More ❯

and work completed. Select appropriate tools and infrastructure for visual quality testing. Debug, identify root causes, and resolve defects within our test frameworks. Launch testing campaigns for various use cases to evaluate our codec releases and integration scenarios. Review design and development work of peers within the test group. Participate actively in agile ceremonies, providing input during planning More ❯

and sprint deliveryensuring projects are delivered on time and to a high standard Support the development of real-time and batch ML workflows across a variety of business use cases Collaborate closely with data scientists to move prototypes into high-quality production systems Platform & Engineering Standards Contribute to the design and evolution of our internal ML platform and More ❯

on day-to-day SOC activities, ensuring timely escalation and resolution of incidents. Mentor junior analysts, support skills development, and facilitate tabletop exercises and simulations. Drive use-case development and threat detection content using advanced analytics, including machine learning and security automation. Maintain and update SOC processes, procedures, and documentation. Help build and mature threat intelligence capabilities More ❯

Handling and transforming various data types (JSON, CSV, etc.) using Apache Spark, Databricks, or Hadoop Understanding modern data system architectures (Data Warehouse, Data Lakes, Data Meshes) and their use cases Creating data pipelines on cloud platforms with error handling and reusable libraries Documenting and presenting end-to-end data processing system diagrams (C4, UML, etc.) Implementing robust DevOps More ❯

Handling and transforming various data types (JSON, CSV, etc.) using Apache Spark, Databricks, or Hadoop Understanding modern data system architectures (Data Warehouse, Data Lakes, Data Meshes) and their use cases Creating data pipelines on cloud platforms with error handling and reusable libraries Documenting and presenting end-to-end data processing system diagrams (C4, UML, etc.) Implementing robust DevOps More ❯

Handling and transforming various data types (JSON, CSV, etc.) using Apache Spark, Databricks, or Hadoop Understanding modern data system architectures (Data Warehouse, Data Lakes, Data Meshes) and their use cases Creating data pipelines on cloud platforms with error handling and reusable libraries Documenting and presenting end-to-end data processing system diagrams (C4, UML, etc.) Implementing robust DevOps More ❯

Handling and transforming various data types (JSON, CSV, etc.) using Apache Spark, Databricks, or Hadoop Understanding modern data system architectures (Data Warehouse, Data Lakes, Data Meshes) and their use cases Creating data pipelines on cloud platforms with error handling and reusable libraries Documenting and presenting end-to-end data processing system diagrams (C4, UML, etc.) Implementing robust DevOps More ❯