latest advancements in Large Language Models (LLMs) to help shape the future of financial services. Responsibilities Collaborate with product owners and business stakeholders to identify pain points, define usecases, and translate business needs into AI/ML solutions. Develop, test, and optimize AI models, ensuring they align with business goals and regulatory requirements. Work closely with MLOps More ❯
by offering our core routing AI to a larger number of medium-sized enterprises at a lower price and via a subscription-based model and by addressing more usecases via a Generative AI-based, voice- and chat-enabled, AI Agent with unique IP that delivers prompt-first application development (as opposed to legacy flow builders), and AI More ❯
the enterprise data landscape within SAP Analytics Cloud, ensuring scalable, secure, and high-performance data environments. * Design and implement complex data models that support both operational and analytical usecases, leveraging advanced features such as spaces, views, and semantic modelling. * Lead data integration initiatives, orchestrating seamless ingestion and harmonization of data from SAP (e.g., S/4HANA, BWS More ❯
maintain the enterprise data landscape within SAP Datasphere, ensuring scalable, secure, and high-performance data environments. * Design and implement complex data models that support both operational and analytical usecases, leveraging advanced features such as spaces, views, and semantic modelling. * Lead data integration initiatives, orchestrating seamless ingestion and harmonization of data from SAP (e.g., S/4HANA, BWS More ❯
Responsibilities Develop Customer Data Strategies: Design strategies to enable personalised customer experiences across online and offline channels. Product Management: Define and manage customer data products, including usecase prioritisation, roadmap development, and value measurement. Data Modernisation: Apply modern data principles to transform legacy systems into scalable, cloud-native architectures. Customer Data Architecture: Collaborate with architects to design More ❯
individual contributor role, you'll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business function usecases across the company. You will collaborate closely with engineers, product managers, and business stakeholders to architect data solutions that are performant, reliable, and built with a long-term More ❯
software engineering, data engineering, and distributed systems knowledge to build modern enterprise payment applications. Build reliable, high-throughput, low-latency microservices to power a diverse range of trading usecases Engage in the complete software development lifecycle by collecting requirements, showcasing solid software design principles, and maintaining operational excellence through unit and integration testing Be a true owner More ❯
tangible impact. Key Responsibilities Design, develop, and deploy solutions and models ranging from small statistical and machine learning models to large language models (LLMs), applying them to diverse usecases such as personalised customer experiences, predictive analytics, process automation, and insight generation-using both proprietary and third-party/foundational models Create solutions that translate complex data into More ❯
various systems such as databases, APIs, and cloud platforms. Your work will directly support batch processing, real-time streaming, and event-driven data pipelines across a variety of use cases. Were looking for candidates with over 3 years of relevant experience in data engineering, platform engineering, or a related field, with demonstrated hands-on expertise in NiFi and More ❯
Farnborough, Hampshire, South East, United Kingdom
Peregrine
various systems such as databases, APIs, and cloud platforms. Your work will directly support batch processing, real-time streaming, and event-driven data pipelines across a variety of use cases. Were looking for candidates with over 3 years of relevant experience in data engineering, platform engineering, or a related field, with demonstrated hands-on expertise in NiFi and More ❯
supporting secure access and identity workflows, such as SSO and role-based access. Building and maintaining custom data pipelines that enable structured and unstructured onboarding for high-value use cases. Troubleshooting client issues and delivering elegant solutions with a sense of urgency and professionalism. Collaborating cross-functionally with Product, Intelligence, Growth, and Client Success to shape the roadmap More ❯
requirements. Collaborate with technical architects, data scientists and NLU analysts at prospective customers to explain how we deliver our solutions, products, and platform. Facilitate and drive usecase workshops with prospective customers. Analyze conversational UX usecases for feasibility and value creation for the client. Prepare a high-level estimate of effort involved and skills More ❯
requirements. Collaborate with technical architects, data scientists and NLU analysts at prospective customers to explain how we deliver our solutions, products, and platform. Facilitate and drive usecase workshops with prospective customers. Analyze conversational UX usecases for feasibility and value creation for the client. Prepare a high-level estimate of effort involved and skills More ❯
newport, wales, united kingdom Hybrid / WFH Options
Intellectual Property Office
needs, user needs and IPO standards. You will act as a facilitator, communicator and problem solver to elicit and document requirements. You will also be modelling processes for use within the project and for post-implementation reference. You will be responsible for analysing existing and future ways of working, identifying options and assessing their impact. You must be … into a set of detailed requirements Document, critically review and model business processes and business rules Utilise a 'toolkit' of techniques and methodologies i.e. user stories, usecase diagrams, SWOT analysis, mind maps, power-interest grid to capture, investigate and analyse data and information. Identify stakeholders, tailor communication to their needs, and work with teams to build … Upload an anonymised copy of your current CV. Make sure it clearly shows how you meet the essential criteria listed in the Person Specification. 750-word Personal Statement Use this to explain why you're suitable for the role. Structure your statement around the essential criteria in the Person Specification. Make sure to provide clear examples to show More ❯
to stakeholders. Has an appreciation of how the product under test integrates with the overall solution. Defines Test Entry Requirements. Able to come up with different usecase scenarios for a feature. Able to design and execute non-functional test cases. Able to use a range of technologies for testing. Able to identify simple patterns … DDT, BDD, TDD, Acceptance Testing, Unit Testing and Performance/Reliability Testing. Should have experience of Systems and Systems Integration testing, including End-2-End testing. Able to use standard development software: editors, compilers. Able to use standard equipment: Oscilloscope, multimeters, logic-analyser, power supply. Additional beneficial skills/experience : NUnit test framework. Mercurial and/ More ❯
organizations, and investment banks. Client Engagement: Build and maintain strong client relationships, understanding their compliance needs and delivering tailored solutions using advanced analytics and AI frameworks. UseCase Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and … execution, especially in financial contexts. Experience with compliance governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and articulating compliance usecases in banking and insurance (e.g., AML, KYC, fraud detection, and regulatory reporting). Business Impact: Proven ability to build business cases and value models that demonstrate the tangible More ❯
organizations, and investment banks. Client Engagement: Build and maintain strong client relationships, understanding their compliance needs and delivering tailored solutions using advanced analytics and AI frameworks. UseCase Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and … execution, especially in financial contexts. Experience with compliance governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and articulating compliance usecases in banking and insurance (e.g., AML, KYC, fraud detection, and regulatory reporting). Business Impact: Proven ability to build business cases and value models that demonstrate the tangible More ❯
Agile and Waterfall methodologies. Ability to manage multiple priorities and work independently. Knowledge & Experience: Proven experience in business analysis within complex environments. Familiarity with business modelling techniques (e.g., usecases, process models). Experience with MS Dynamics 365 and tools like Azure DevOps or JIRA. Understanding of housing management systems (e.g., Orchard, Asprey) desirable. Knowledge of regulatory frameworks More ❯
Agile and Waterfall methodologies. Ability to manage multiple priorities and work independently. Knowledge & Experience: Proven experience in business analysis within complex environments. Familiarity with business modelling techniques (e.g., usecases, process models). Experience with MS Dynamics 365 and tools like Azure DevOps or JIRA. Understanding of housing management systems (e.g., Orchard, Asprey) - desirable. Knowledge of regulatory frameworks More ❯
MK41, Clapham Green, Bedford, Bedfordshire, United Kingdom
bpha
Agile and Waterfall methodologies. Ability to manage multiple priorities and work independently. Knowledge & Experience: Proven experience in business analysis within complex environments. Familiarity with business modelling techniques (e.g., usecases, process models). Experience with MS Dynamics 365 and tools like Azure DevOps or JIRA. Understanding of housing management systems (e.g., Orchard, Asprey) – desirable. Knowledge of regulatory frameworks More ❯
requirements. Lead and facilitate structured workshops, stakeholder interviews, and working groups to extract detailed requirements for new and existing strategic initiatives. Translate complex business needs into user stories, usecases, and functional specifications, ensuring alignment with development team capabilities. Provide regular updates to stakeholders through status reports, dashboards, and presentations, ensuring transparency and accountability. Display a strong delivery More ❯
advisor to C-suite stakeholders, advocating for AI and data-driven decision making Working closely with innovation and product teams to identify and deliver impactful ML and AI usecases Supporting the rollout of an AI-powered platform that automates insights and trends from structured and unstructured data Overseeing predictive machine learning initiatives and data science best practices More ❯
advisor to C-suite stakeholders, advocating for AI and data-driven decision making Working closely with innovation and product teams to identify and deliver impactful ML and AI usecases Supporting the rollout of an AI-powered platform that automates insights and trends from structured and unstructured data Overseeing predictive machine learning initiatives and data science best practices More ❯
advanced data ecosystems is essential. You should have experience in building efficient, scalable data services and integrating data systems with AWS tools and services to support various customer usecases and applications. Key job responsibilities Provide technical leadership, lead data engineering initiatives, and build scalable, reliable analytical solutions. Work with large datasets, focusing on data organization and curation More ❯
to end - from discovery through to implementation - across client environments. What You'll Be Doing: Designing and implementing conceptual, logical, and physical data models for analytical and streaming usecases Collaborating with engineers, architects, and stakeholders to gather requirements and define scalable solutions Establishing and enforcing data architecture standards, lineage documentation, and governance frameworks Providing expert input on More ❯