1 to 25 of 142 Use Case Jobs in Central London

best practices. •Foster a culture of innovation, collaboration, and continuous learning. Solution Development & Delivery •Build predictive and prescriptive models for business-critical use cases. •Integrate models with enterprise systems and APIs for real-time inference. •Ensure Responsible AI principles: fairness, explainability Client & Stakeholder Engagement •Collaborate with business stakeholders ...

best practices. Foster a culture of innovation, collaboration, and continuous learning. Solution Development & Delivery Build predictive and prescriptive models for business-critical use cases. Integrate models with enterprise systems and APIs for real-time inference. Ensure Responsible AI principles: fairness, explainability Client & Stakeholder Engagement Collaborate with business stakeholders ...

/Manufacturing/Retail domain. Prior experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience ...

completeness across datasets Optimising pipelines, processing workflows and warehouses for performance and cost Working closely with analysts and data scientists to enable downstream use cases Embedding security, monitoring and operational best practice into all solutions Contributing to engineering standards, patterns and best practice across data teams Supporting ...

modern Azure environment • Developing modular, production-grade ELT workflows (dbt, Airflow, SQL, Python) • Modelling data for analytics, BI, forecasting, and machine learning use cases • Optimising data architectures for performance, cost, and reliability • Working closely with data scientists, software engineers, and investment teams • Troubleshooting and improving existing data processes ...

bids Lead and contribute to complex AI/ML delivery alongside ML engineers, project managers and client stakeholders Scope and shape AI use-cases with customers, translating requirements into delivery roadmaps Build, test and deploy machine learning models into cloud-based products and services Contribute to bid responses ...

shared understanding of project objectives, scope, and deliverables. Documentation and Traceability: Maintain high-quality documentation including business requirements documents (BRDs), user stories, use cases, process flows, and traceability matrices to ensure end-to-end coverage. Collaboration with Cross-Functional Teams: Work closely with product owners, developers, QA engineers ...

platform/solutions with client’s existing enterprise stack. Conversant with end-to-end Generative and Agentic AI solutions for enterprise use cases. Design familiarity with multi-agent systems capable of reasoning, planning, and executing tasks autonomously. Evaluate and select appropriate models, frameworks, and orchestration tools. Ability ...

safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that ...

identifying AI-driven opportunities. Develop tailored AI strategies for business units, incorporating generative AI and classical AI methods. Define and prioritise AI use cases, establish metrics for tracking, and monitor delivery progress. Champion AI adoption by demonstrating proofs of concept, pilots, and “art of the possible” scenarios. Build … skills, confident in presenting to senior leaders. Ability to translate technical AI concepts into business language and compelling narratives. Skills in use case identification, benefit articulation, and ROI justification. Preferred Skills Experience developing AI strategies or leading transformation programs. Certifications or training in AI/ML, data ...

product roles. Hands-on experience delivering Microsoft 365 and Copilot solutions at scale. Strong understanding of Copilot Studio, Power Platform, and GenAI use cases . Experience operating in regulated or complex environments . Proven stakeholder management across business and technology. Confident owning roadmaps, budgets, and vendor relationships. Core ...

Bridge: Turn business goals into clear, actionable requirements for cutting-edge AI projects. Drive Innovation: Shape and refine AI use cases—from generative AI to automation and beyond. Own the Data: Dive deep into data and knowledge requirements, mapping what’s needed for success. Collaborate & Influence: Work hand ...

projects across diverse data types (text, images, audio, video, graphs, geo-location). Engage with stakeholders to scope projects, understand use cases, and plan technically robust delivery strategies. Collaborate with ML engineers to build, deploy, and maintain models using cloud services (AWS). Conduct research, literature reviews ...

value clearly to stakeholders ranging from engineering teams to executive leadership. What You’ll Do Build and showcase AI-driven solutions for financial use cases such as trading, risk, forecasting, or automated decisioning. Translate advanced AI concepts into practical insights for both technical and non-technical teams. Lead ...

complex machine learning and AI projects in collaboration with ML engineers, delivery teams and customers Engaging with users to define requirements, scope AI use cases and develop realistic delivery plans Supporting the design, development and deployment of models within AWS cloud environments Contributing to written proposals ...

empower stakeholders to make data-driven decisions efficiently. The key responsibilities will include: Design and implement data models optimized for analytics and reporting use cases. Develop and maintain ELT/ETL pipelines to transform raw data into curated datasets. Collaborate with analysts and data scientists to understand requirements ...

using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality ...

critical link between business stakeholders and technical teams. Gather, analyse, and document requirements for both traditional and AI use cases. Map workflows and produce clear technical documentation (BRDs, Functional Specs, User Stories). Evaluate systems, identify gaps, and recommend improvements. Support change management and adoption strategies ...

Quantexa platform using Spark and Scala. Configure and implement Quantexa components such as Entity Resolution, Scoring, and Network Generation to support specific use cases. Collaborate with Tech Leads and Solution Architects to design scalable and performant Quantexa solutions. Translate business and technical requirements into efficient, production-ready data ...

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 ...

views, and performance tuning. SQL: Proficient in writing, optimising, and troubleshooting queries. Azure Data Lake: Understanding of data storage and structure for analytics use cases. Git/Azure DevOps: Familiar with version control and Agile delivery workflows. Microsoft Fabric (Desirable): Awareness or early exposure to Fabric data pipelines ...

identify opportunities for optimisation. Facilitate workshops, interviews, and user story sessions to understand and refine requirements. Translate business requirements into functional specifications, use cases, and user stories for development teams. Perform data analysis using tools like PowerBI, Tableau, or QlikSense to support decision-making and improve operational performance. … solving skills, able to translate complex business needs into actionable requirements. Proficiency in business analysis techniques, including process modelling, lean practices, use case development, and requirements elicitation. Experience with Agile delivery methodologies (Scrum, Kanban, SAFe, LeSS) and associated tools. Excellent communication and presentation skills, able to explain ...

solutions rather than pure research or back-office delivery. You’ll lead AI engagements end to end — from early discovery and use-case definition through to high-level architecture and platform design. The role covers areas such as Predictive AI, Machine Learning and Generative AI, MLOps, data … scalable, distributed systems. • Familiarity with model lifecycle management and MLOps practices. • Proven ability to align AI initiatives to business outcomes and shape practical use cases. • Experience in client-facing and pre-sales environments. • Broad technology background, with depth in at least one of: Cloud, Hybrid Infrastructure, Workspace ...

solutions rather than pure research or back-office delivery. You’ll lead AI engagements end to end — from early discovery and use-case definition through to high-level architecture and platform design. The role covers areas such as Predictive AI, Machine Learning and Generative AI, MLOps, data … scalable, distributed systems. • Familiarity with model lifecycle management and MLOps practices. • Proven ability to align AI initiatives to business outcomes and shape practical use cases. • Experience in client-facing and pre-sales environments. • Broad technology background, with depth in at least one of: Cloud, Hybrid Infrastructure, Workspace ...

solutions rather than pure research or back-office delivery. You’ll lead AI engagements end to end — from early discovery and use-case definition through to high-level architecture and platform design. The role covers areas such as Predictive AI, Machine Learning and Generative AI, MLOps, data … scalable, distributed systems. • Familiarity with model lifecycle management and MLOps practices. • Proven ability to align AI initiatives to business outcomes and shape practical use cases. • Experience in client-facing and pre-sales environments. • Broad technology background, with depth in at least one of: Cloud, Hybrid Infrastructure, Workspace ...