151 to 175 of 1,652 Use Case Jobs in England

development from day one. Responsibilities Define an AI/ML strategy for clinical development, aligned with program and portfolio objectives. Identify high‐impact use cases across the clinical pipeline (e.g. patient segmentation using multimodal data, and predictive models for disease progression, treatment response, and clinical outcomes in priority ...

core platform so the next deployment is faster.Account growth and development. Partner with Sales to identify expansion opportunities within the account—surfacing new use cases, supporting renewal conversations, and ensuring successful deployments convert to long-term customer relationships.QualificationsBS/MS in Computer Science, Software Engineering, Engineering, or equivalent ...

Develop and share technical resources, sample code, and best practice documentation to accelerate partner adoption and success. Gather, synthesize, and relay partner feedback, use cases, and technical requirements to internal Google product and engineering teams to influence future development. Google is proud to be an equal opportunity ...

knowledge graph approaches for a given business problem. You share what they learn with the team. You collaborate with users, use case reps, engineers, architects, and UI designers to deliver their piece of an end-to-end solution.THE WORKBuild Knowledge Graph components that contribute to transforming ...

platform engineering principles Applied data science techniques (classification, clustering, NLP) Model lifecycle management (training, validation, monitoring) Translating legal and business problems into analytical use cases Understanding limitations and risks of statistical and ML models Large Language Models (LLMs) and GenAI patterns RAG architectures, agentic workflows and orchestration ...

transforming how TP ICAP manages the internal audit lifecycle through AI-driven solutions* Build and deploy cutting-edge AI applications for internal audit use cases, ensuring that solutions are high-performing, scalable, and optimised for real-time internal audit operations* Translate stakeholder requirements into technical solutions, ensuring alignment ...

Stakeholder Leadership: Clear communication of AI concepts, senior stakeholder engagement, and leadership of cross‐functional AI initiatives. Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services. Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real ...

data, workflows, integrations, and user experiences. What you'll be doing: Rapidly build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.Translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience ...

assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions.Experience in the full pre-sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives).A customer-centric mindset with a passion ...

executive review forums. Embed AI initiatives into business planning, capability maturity assessments, and operational reviews. Identify, prioritize, and scale high-impact AI use cases across all functions. Ensure successful pilots are translated into enterprise-wide capabilities. Drive the development of AI-native ways of working across the organization. ...

into scalable automation and preventative controls. Drive adoption of automation-first principles, reducing dependency on human-driven processes. Contribute to AI-driven operational use cases, including event correlation, anomaly detection, noise reduction, operational insights, and automated remediation. Ensure AIOps capabilities are grounded in reliable telemetry, clear control boundaries ...

recommendations to both technical and non-technical audiences. Collaborate with Data Engineers to ensure suitable data structures for analytics and machine learning use cases. Monitor model performance and recommend improvements as business needs evolve. Document methodologies, data sources, and modelling approaches in line with governance standards. Requirements Experience ...

automation, insight generation, and decision support. Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases. Mentor and grow a high-performing team of architects, engineers, and analysts—fostering innovation, cross functional collaboration, and delivery excellence. Champion ...

adapting and customising AI models for practical business tasks, with an understanding of how to test outputs and refine model performance for specific use cases. Experience in working in teams with a range of skills and expertise. Prioritising to work to changeable deadlines. Knowledge of Agile/Scrum ...

adapting and customising AI models for practical business tasks, with an understanding of how to test outputs and refine model performance for specific use cases. Experience in working in teams with a range of skills and expertise. Prioritising to work to changeable deadlines. Knowledge of Agile/Scrum ...

data, infrastructure, or platform systems. Proven ability to architect and scale production-grade ML platforms that support many teams, workflows, and ML use cases. Deep understanding of cloud-native architecture and end-to-end ML workflows, including experimentation, feature management, model versioning, training, deployment, monitoring, performance benchmarking ...

have) Bachelor's degree in Engineering, or a related technical field.-(nice to have) Experience building platforms that serve both B2B and B2B2C use cases.What success looks likeScreening controls that scale across products, volumes, and geographies.Measurable reduction in false positives without increased regulatory risk.High-integrity screening trusted ...

Solutions Consultant, you will lead the technical aspects of the sales process, working directly with prospects to understand their key business objectives, key use cases, challenges, and their architecture/ecosystem, help them understand the Amperity Platform - what it does, how it works, and why it is important … understand. Provide Collaboration and Support: Partner with Account Executives thru the entire sales cycle, including discovery, platform demonstrations, architecture sessions, use case sessions, and solution scoping. Collect and Share Lessons Learned: Share critical technical experience with the rest of the Presales, Product, Marketing, and Solutions Engineering teams ...

governance issues. Experience in consulting, public sector, regulated industries or large complex organisations. Strong understanding of the AI lifecycle, including use-case selection, data preparation, model/system development, evaluation, deployment, monitoring and retirement. Experience translating ethical, legal, regulatory or assurance principles into practical delivery controls. Experience … highly regulated environments where trust, transparency, auditability, privacy, safety and risk management are critical. Specialist competenciesResponsible AI framework design. AI assurance and assurance case development. AI and algorithmic impact assessment. Ethical risk assessment and mitigation. AI governance operating models. Model/system evaluation and monitoring. Bias, fairness and harm ...

seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. … single global financial institution across capital markets, banking, insurance, or asset management. You will own the full technical relationship, drive use case expansion across business units, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior ...

standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case* Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team … with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)* A track record ...

standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team … with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record ...

standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team … with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record ...

necessary tradeoff decisions. Team Leadership - Lead and coach a team owning (1) data presentation, dashboards, platform usability; (2) AI feature productization, use-case definition, and rollout; (3) requirements, backlog, and delivery execution (4) data structuring. Set clear expectations and ensure ownership across the team is well defined. … where caution is required - and ensure each AI feature addresses a genuine client need. Customer & Market Discovery - Lead discovery into how clients use automotive data, including benchmarking, trend analysis, forecasting, compliance, and decision support, and translate these insights into product direction. Go-to-Market - Coordinate with sales, marketing ...

Inhouse role (e.g. Center of Excellence for Data Mining/Analytics/Intelligence) within an Enterprise. Process Improvement & Value Realization: Experience in identifying use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value Project Management ...