16 of 16 Contract Use Case Jobs in the South East

analytics, and automation capabilities. • Cleanse, transform, and integrate data from oneAdvanced, legacy systems, and external data sources into central data platforms (EDW/Azure). • Implement machine learning use cases such as cashflow forecasting, working capital optimisation, fraud detection, and HR analytics. • Ensure compliance with GDPR, SOX, and internal governance when handling sensitive financial and HR data. • Support More ❯

with strong exposure to technical/projects ideally within a financial or regulatory environment Awareness of operating models (both current and target state) and how to develop and use them on projects/programmes Experience of working on complex projects and programmes involving broad-based business change Excellent stakeholder management at all levels; both internally and externally. Able … levels (high level to functional specifications) to a high quality within the standards set by the BA management team Experience of developing business processes using BPMN 2.0 and use of 'out of the box' thinking to challenge existing processes Strong exposure to gathering, analysing and accurately documenting business and solution requirements using a wide variety of techniques from … cases and data models Experience of providing both functional and technical expertise to the Technology teams in producing detailed requirements documentation (e.g. detailed process maps, use case specifications, wireframes, logical data models, traceability matrices) Experience of managing complexity and change and an awareness of the associated technical impacts to the organisation Proven experience of facilitating workshops More ❯

major insurance client engagement . The role focuses on scaling a Snowflake Data Warehouse and expanding its DBT Cloud modelling capabilities to support new analytics and regulatory data use cases across the business. Assignment Details Initial Duration: 6-12 months (until March 2026, likely extension given scope) Location: Hybrid - minimum of 2 days per week in London Day More ❯

maintain data pipelines and data integration solutions using Azure Data Factory, Synapse Analytics, and related services. Build and optimise data models to support reporting, analytics, and machine learning use cases. Implement robust data quality, governance, and security practices across the data ecosystem. Collaborate with analysts, data scientists, and business stakeholders to understand data needs and translate them into More ❯

initiatives, including powering intelligent chatbots and AI-driven analytics across the organisation. Key Responsibilities: Design, build, and maintain scalable ETL data pipelines to support AI, chatbot, and analytics use cases. Collaborate with data scientists, ML engineers, and product teams to deliver clean, reliable data for model training and real-time inference. Enable chatbot platforms by integrating structured and More ❯

these products* Demonstrating the value of generative and creative tools through digital platforms, applications, and APIs in the context of their business* Helping customers identify repeatable, high-value use cases across multiple products* Supporting the scaling of product usage within their organisation and driving active use What You'll Do As a Strategic Development Manager, you … based in the UK, with a mix of in-person and remote engagements. You'll partner with internal customer success teams to validate discovery session outcomes, uncover potential use cases, define agendas for customer … workshops, customise demos with client assets, and ensure follow-ups with customer sponsors to confirm engagement roadmaps. You'll also play a key role in implementing use case roadmaps and rolling out new engagement models in partnership with Customer Success Managers. Key responsibilities include:* Qualifying discovery insights, agreeing on agendas, and validating attendee profiles* Gathering context about More ❯

delivering data models, pipelines, dashboards and reporting assets that enable data-driven decision-making. Key Responsibilities Lead and implement data migration into Microsoft Fabric for analytics and reporting use cases Design and build data models from multiple sources to generate actionable insights Maintain and optimise data warehouse platforms; identify and resolve issues Develop data pipelines using Fabric Pipelines More ❯

Amazon Web Service, Key Management Systems, Containerisation, Network Security Groups, Host based firewalls, Web Application Firewalls Physical Network Infrastructure, Anti-Patterns, Network Firewalls, IDS/IPS, DMZs AI use cases, secure configuration (ISO42001 knowledge preferable), ITHC scoping and remediation action plans. If you're interested in learning more - please apply or reach out to Reasonable Adjustments: Respect and More ❯

product owners, and developers to define test scenarios and acceptance criteria.- Identify, document, and track defects through to resolution.- Ensure testing aligns with business requirements and occupancy-related use cases.- Support go-live readiness and post-implementation validation.Essential Skills & Experience:- Proven experience in testing Dynamics 365 CE (Customer Engagement).- Strong background in UAT testing, ideally within housing More ❯

tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability. Partner with ML engineers, analysts, and analytics engineers to understand their data needs and enable advanced data use cases. Contribute to an engineering culture that values testing, peer reviews, and automation-first principles. What You'll Bring Strong experience in streaming technologies such as Kafka, Flink, or More ❯

IR35 | End of FY | Hands-on Prompt Engineer needed for a government AI programme. Design and evaluate prompts across multiple LLMs (ChatGPT, Claude) to support policy and business use cases. The Role Craft and refine prompts using advanced techniques (ReAct, Chain-of-Thought, ART) Build multi-agent workflows and context-aware LLM systems Advise on responsible AI practices More ❯

SecOps APIs, specifically for the purpose of updating and managing reference data - Conduct current state assessment of detection engineering capabilities and log source coverage - Design and implement detection use cases aligned to MITRE ATT&CK framework - Enable SOAR integration by identifying high-fidelity detections and mapping Key Technical/IT Security Skills; - Chronicle SIEM - Google SecOps - UEBA Tooling More ❯

responsibilities will include: Implementing data governance and standards across various risk domains in line with BCBS239 requirements. Defining and maintaining data definitions, lineage, and quality controls for key use cases. Collaborating with the EMEA Data Office and risk teams to embed effective governance processes. Investigating data quality issues, developing remediation plans, and ensuring fixes are applied at source. … carefully review your application, and if you haven't heard from us within 48 hours, we appreciate your interest and encourage you to apply for future opportunities. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made More ❯

Design of Gen AI Models + RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). + Apply prompt engineering, RAG (Retrieval-Augmented Generation), and … training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape AI use cases. Contribute to the creation of a strategic AI adoption roadmap and reusable AI Workbench/ More ❯

Design of Gen AI Models + RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). + Apply prompt engineering, RAG (Retrieval-Augmented Generation), and … training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape AI use cases. Contribute to the creation of a strategic AI adoption roadmap and reusable AI Workbench/ More ❯

and secure AI solutions. Key Responsibilities & Services Design & Deployment: Design, prototype, and deploy state-of-the-art Generative AI models (e.g., LLMs, Transformers, Diffusion models ) tailored for enterprise use cases. Application Development: Build, fine-tune, and deploy LLM-based applications such as advanced chatbots, summarization tools, document Q&A systems, and code assistants. Advanced Techniques: Apply sophisticated techniques … images, code). Deep knowledge of data preprocessing, tokenization, and embedding generation techniques. Hands-on experience working with Vector Databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Stakeholder & Strategic Partnership: Ability to partner effectively with business stakeholders to identify, shape, and prioritize high-impact AI use cases. Experience contributing to a strategic AI More ❯