1,301 to 1,325 of 2,126 Use Case Jobs in the UK

data engineering projects in collaboration with business stakeholders Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases Collaborate closely with our dev teams to build seamless integrations between our back-end databases and our data platform Shape the direction … helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Things to note Just ...

maintain essential data pipelines and architectures, supporting various business functions to achieve the firm's goals. Working alongside talented engineers, you will use your skills to drive innovation and help shape our team culture — one built on excellence, collaboration, and continuous improvement. Job responsibilities Develop workflows and extract … data lifecycle Implement data security using entitlements frameworks to safeguard sensitive information Update logical and physical data models based on evolving business use cases and requirements Apply SQL expertise — including complex joins and aggregations — and leverage working knowledge of NoSQL databases to support diverse data access patterns Apply ...

based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon‐scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include … Perform hands‐on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich ...

Responsibilities Define and implement AI strategies for financial services, focusing on risk, compliance, and operational efficiency Design and deploy AI-enabled solutions for use cases such as credit scoring, fraud detection, and customer analytics Implement AI governance frameworks including compliance with Basel III, GDPR, and ethical AI practices … regulatory framework Experience designing and implementing Agentic AI solutions in regulated industries Knowledge of LLM applications for financial use cases such as document processing and chatbots Strong understanding of compliance-driven AI system design and transparency practices Solid grasp of MLOps principles with experience deploying models in production ...

User Stories based on Client Requirements Work with Stakeholders Documentation and User Training Identify opportunities for automation, process streamlining, and AI-ready data use cases Required Skills Working with clients to capture business and product requirements Strong analytical and writing skills, to include solid experience in writing functional … ready" reference data Exposure to process automation, workflow streamlining, or intelligent data quality checks Qualifications 3+ years of relevant experience Proven ability to use complex analytical, interpretive and problem-solving techniques Proven interpersonal, data analysis, diplomatic, management and prioritization skills Consistently demonstrate clear and concise written and verbal ...

presales hours saved, and cost per agent action). Key Responsibilities Technology Consulting Lead discovery and envisioning workshops to identify high‐value AI use cases; define problem statements, success metrics, and ROI (e.g., cycle time reduction, presales hours saved, cost per agent action). Translate business requirements into … APIs; promote reuse of organizational assets. Build automation with Power Automate Cloud and Desktop ; configure Cloud PC pool for Desktop Flows and Computer Use agents where appropriate. Define non‐functional requirements ; establish CI/CD (Azure Pipelines/GitHub Actions), automated testing, and automated deployments . Harden solutions ...

Microsoft Fabric toolset, covering data ingestion, engineering, lakehouse and warehouse design, analytics and the preparation of trusted data for AI and machine learning use cases. The successful candidate will inherit a direct report and will be expected to develop both the platform and the capability of the team. … Working closely with the CIO and business stakeholders to translate requirements into a scalable, governed platform Enabling downstream analytics and AI/ML use cases as the platform matures Leading and growing a small data engineering team over time What you'll need: Proven hands-on experience building ...

Scientist to drive commercial decision-making across Sales, Marketing, and Finance for our client. What youll do Turn business questions into measurable analytics use cases and models. Build and deploy models (segmentation, churn, pricing, MMM, forecasting) using Python/R on Azure & Microsoft Fabric. Productionise data pipelines … accommodate them. AI Statement We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities ...

know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we're behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether … stack, anchored by a .NET back end that manages the dispute lifecycle and integrates with card schemes, alongside the front-end experiences merchants use to track and respond to disputes and the machine learning models that predict outcomes and recommend the best action on every case. ...

capabilities behave as specified, exploring data before specs are written, testing hypotheses for new capabilities, building shared gold layer models that consumer teams use, and helping those teams understand what data is available. It is not business reporting or analytics built for individual brands. The other … actually need, and write it down. Each spec covers source schema, target model, transformation logic, business glossary, schedule, data quality checks, consumer, and use case. Stay reachable through development. Engineers will have questions. Find and fix data quality problems at the root, alongside the engineering function. Trace lineage ...

APIs, automation layers, and user-facing interfaces using technologies such as Python, Java, React, or Angular. Engineer scalable solutions that support central operational use cases such as self-service tooling, operational dashboards, alert enrichment, incident reduction, service recovery, and workflow automation. Develop reusable frameworks and components that … backend or service-layer engineering. Strong working knowledge of front-end development using React or Angular, including building interfaces for operational or engineering use cases. Proven experience designing and deploying end-to-end solutions, from application development through production deployment and operational support. Experience in Site Reliability Engineering ...

APIs, automation layers, and user-facing interfaces using technologies such as Python, Java, React, or Angular. Engineer scalable solutions that support central operational use cases such as self-service tooling, operational dashboards, alert enrichment, incident reduction, service recovery, and workflow automation. Develop reusable frameworks and components that … backend or service-layer engineering. Strong working knowledge of front-end development using React or Angular, including building interfaces for operational or engineering use cases. Proven experience designing and deploying end-to-end solutions, from application development through production deployment and operational support. Experience in Site Reliability Engineering ...

cyber intelligence, or threat intelligence function.Demonstrated experience conducting threat actor analysis, adversary tracking, campaign analysis, IOC/TTP analysis, and intelligence production, including use of MITRE ATT&CK or similar frameworks to structure analysis and communicate adversary behavior.Strong understanding of the intelligence lifecycle, including requirements, collection, analysis, dissemination … TAXII, threat intelligence enrichment pipelines, or TIP administration and automation.Familiarity with cloud services and securing cloud environments (AWS, Azure, GCP).Exposure to AI use cases within cyber threat intelligence, such as intelligence collection, analysis acceleration, or reporting efficiency.Experience collaborating with external intelligence-sharing groups such as ISACs, InfraGard ...

intelligence, or threat intelligence function. Demonstrated experience conducting threat actor analysis, adversary tracking, campaign analysis, IOC/TTP analysis, and intelligence production, including use of MITRE ATT&CK or similar frameworks to structure analysis and communicate adversary behaviour. Strong understanding of the intelligence lifecycle, including requirements, collection, analysis … intelligence enrichment pipelines, or TIP administration and automation. Familiarity with cloud services and securing cloud environments (AWS, Azure, GCP). Exposure to AI use cases within cyber threat intelligence, such as intelligence collection, analysis acceleration, or reporting efficiency. Experience collaborating with external intelligence‐sharing groups such as ISACs ...

response across endpoint, identity, email, and cloud workloads. It combines deep deception engineering expertise with hands‐on Defender XDR mastery and the use of Agentic AI to drive proactive, intelligence‐led, and largely autonomous security operations. The Role: Deception Engineering Leadership Own and lead the enterprise cyber deception … context Collaborate with Risk, Compliance, and Legal teams to align DLP and insider risk controls with regulatory and business requirements Continuously optimise detection use cases combining identity, data, and behavioural analytics Multi-Cloud Deception & Detection (AWS, GCP, OCI) Extend the deception programme and Defender‐style detection capabilities consistently ...

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving transformational change within our clients. We use proven technology, specialist teams and domain expertise to build solid technical foundations across platforms, data, and business applications. We have a passion for using … Desirable experience Experience with Copilot Studio or similar conversational or agent‐based AI technologies Understanding of LLM capabilities, prompt design, and enterprise AI use cases Awareness of Azure AI Foundry and the wider Azure AI ecosystem Familiarity with CI/CD and ALM practices for Power Platform ...

making it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Contribute to initiatives that use data science and generative AI to improve customer and marketing experiences for clients. Support the development of data platforms, data products, and capabilities that empower … tools and enterprise AI technologies. Collaborate with Global Brands Work with leading global brands and household names on impactful data science and AI use cases Support the creation of reusable data science assets, feature stores, model templates, and best-practice frameworks. Consult on complex analyses and advanced machine ...

agentic workflow components. Design, build, integrate, deploy, and operate production AI/ML and LLM-based services for legal research, analytics, and content use cases. Implement RAG, semantic search, embeddings-based retrieval, ranking, summarisation, classification, content enrichment, and citation-aware AI capabilities where appropriate. Design and implement agentic … Desirable experience with event-driven architecture, messaging, queues, asynchronous processing, retries, idempotency, and failure handling. Desirable experience with legal content systems, LegalTech, publishing platforms, case law, citation systems, legal research workflows, XML/XSLT, structured content processing, search, ranking, indexing pipelines, or content enrichment. Why Join Us? Join ...

agentic workflow components. Design, build, integrate, deploy, and operate production AI/ML and LLM-based services for legal research, analytics, and content use cases. Implement RAG, semantic search, embeddings-based retrieval, ranking, summarisation, classification, content enrichment, and citation-aware AI capabilities where appropriate. Design and implement agentic … Desirable experience with event-driven architecture, messaging, queues, asynchronous processing, retries, idempotency, and failure handling. Desirable experience with legal content systems, LegalTech, publishing platforms, case law, citation systems, legal research workflows, XML/XSLT, structured content processing, search, ranking, indexing pipelines, or content enrichment. Why Join Us? Join ...

dynamic content targeting and prioritisation, you will take end-to-end ownership of data science and machine learning solutions across a variety of use cases, business areas, and markets. Your contributions will directly support the Global Targeting mission, enabling the organisation to realise its overall strategy. ClearScore … example in what you deliver Driving the strategic utilisation of model outputs for decision making, working with the Global Targeting squad to use model outputs to change what users see Exploring new developments at the intersection of traditional Machine Learning and AI, and determining how they ...

multiple products and customers. Drive the development and scaling of platform APIs, defining contracts, capabilities, consumption patterns and priorities for internal and external use cases. Identify opportunities to leverage AI and machine learning to improve data classification, anomaly detection, validation, conflict resolution and other data‐intensive workflows. Work … Cost of Living exercise to ensure your salary stays ahead of rising prices and interest rates Whilst we hope you never have to use it, we offer our entire team Death in Service insurance cover Your wellbeing matters to us, gain access to GP consultations, nutritionists, dental advice ...

cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming use cases. You are a skilled Data Engineer who has delivered data platforms. Knowledge of SOLID, DRY and TDD principles and how to practically implement … able to progress your application and we will contact you to let you know why. Sounds good? Join us in our mission to use technology to improve society for everyone. Our hiring process is designed to be thorough, transparent, and supportive, guiding candidates through each step. The exact ...

foundation that captures algorithm decision data, moving from database logging to a versioned event stream with purpose-built views for each customer use case. This will unlock faster, more reliable insights across our customer-facing products. With the growing adoption of our Monte Carlo simulation engine … production grade data pipelines to feed the Ki algorithm Work with actuaries, data scientists and engineers to understand how we can make best use of new internal and external data sources Work with data architects to design and engineer data models and supporting infrastructure which can support ...

ideal candidate will be an experienced data architect who is excited by the opportunity to shape enterprise data standards, drive data re-use and interoperability across the organisation, and leverage modern technologies to simplify the data estate and unlock greater value from data. You should be able … conventions, canonical business definitions and domain boundaries. Define and evolve insurance data models and standards across underwriting, policy, claims, finance, actuarial and regulatory use cases. Define security, privacy and regulatory requirements for data architecture, including data classification, access control, retention, lineage, metadata and information quality controls. Collaborate with ...

know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether … make an impact: Partner with product managers, data scientists, and engineers to research, validate, and deliver high‐impact Generative AI use cases. Design and build APIs and microservices that integrate AI capabilities into internal and external workflows. Develop, fine‐tune, and deploy LLM‐based applications (e.g., chatbots, assistants ...