1 to 25 of 124 Remote/Hybrid Permanent Use Case Jobs

operating model including adoption of general AI technology, enhanced/platform AI technology, responsible AI use and scaling. Lead use case intake, backlog refinement, and prioritization using a transparent value vs feasibility framework. Focus on IHQ Commercial teams, and partner functions (Finance, Legal, Supply Chain … country teams, etc) as appropriate to realize high-impact AI use case value. Ensure all AI initiatives are anchored to clear business problems, owners, KPIs, and benefits hypotheses. Balance innovation with execution discipline - explicitly deciding what to scale, stop, park, or defer. Deliver enterprise AI capabilities ...

stakeholders to define what success looks like from their customer data strategy. You will lead value workshops, shape KPI frameworks, build use-case roadmaps, write business-focused BRDs and ensure each engagement is tied to measurable business outcomes. This is not a product, implementation or marketing operations … Experience advising enterprise clients or senior stakeholders on customer data, journeys or optimisation Able to build KPI frameworks, value models, BRDs, use-case roadmaps or workshop outputs Familiar with CDPs, digital analytics, customer journey tools or MarTech ecosystems Confident leading strategic conversations, not just supporting delivery ...

VMware by Broadcom Portfolio, having engaged with enterprise customers to evangelise, design and implement solutions based on the customer’s specific use case and requirements in the areas of: Understanding the customer landscape and then designing or feeding into solutions that meet the customers’ underlying business objectives … products or technologies. You should have engaged with customers to evangelise, design, and implement solutions based on the customer’s specific use case and requirements. The position requires high quality and in-depth technical knowledge along with strong communication skills. You should be able to lead ...

VMware by Broadcom Portfolio, having engaged with enterprise customers to evangelise, design and implement solutions based on the customer’s specific use case and requirements in the areas of: Understanding the customer landscape and then designing or feeding into solutions that meet the customers’ underlying business objectives … products or technologies. You should have engaged with customers to evangelise, design, and implement solutions based on the customer’s specific use case and requirements. The position requires high quality and in-depth technical knowledge along with strong communication skills. You should be able to lead ...

White Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine LearningAbout this roleWe re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business.Do you love shaping the technical landscape and driving innovation across … testing, monitoring, and deployment pipelinesCollaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case deliveryBuild and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partnersRepresent Capital One in external ...

Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine Learning About this role We re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across … monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital ...

delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring ...

Data & AI Engineer, you will design, build and maintain data pipelines, analytical platforms and AI-enabled capabilities that support business-critical use cases. You will work closely with analysts, engineers, and stakeholders to translate requirements into robust, production-ready solutions. Key responsibilities: Designing and building scalable data pipelines ...

with workflow and backlog management tools such as Azure DevOps, TFS, Jira, or similar platforms. Strong experience writing detailed user stories, acceptance criteria, use cases, and process/customer flows. Excellent written and verbal communication skills. Strong stakeholder management and facilitation skills. Experience working across multiple cross-functional ...

platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution design activities. Support ...

secure, and well-structured data flows Drive innovation & experimentation Explore and pilot emerging technologies, developing proof-of-concepts and translating them into practical use cases Identify high-impact opportunities Proactively spot opportunities to improve efficiency, reduce risk, and enhance legal service delivery through innovation Bridge legal and technology ...

practical experience applying it in enterprise settings. Experience with Generative AI and Large Language Models (LLMs) , including selecting appropriate models for use cases. Proven ability to deliver solutions in highly regulated environments (e.g., banking, financial services). Strong background in data platforms, big application development, and cloud engineering ...

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 ...

platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution design activities. Support ...

APIs, backend services, automations, and data pipelines Translate business requirements into scalable technical solutions Prototype and iterate quickly on AI-driven features and use cases Write clean, maintainable, production-quality code Improve reliability, scalability, monitoring, and performance of AI systems Support deployment and operationalisation of AI applications Mentor ...

have: Experience in People Analytics, Workforce Analytics, Skills intelligence or HR Data Management Exposure to AI, machine learning or advanced analytics use cases in HR Familiarity with HR technology ecosystems including HRIS, payroll, talent, learning, skills management and workforce management solutions and their associated data flows Experience supporting ...

multi-tenancy environment and developing supportable, secure, and scalable APIs that integrate directly into Microsoft OneLake and support advanced analytics and AI use cases. Reporting to the Head of IT Infrastructure & Security , you will serve as a technical authority, providing guidance on architectural direction, best practice, and integration ...

consumer focused organisations * Experience delivering data transformation programmes, including self service analytics and reporting improvements * Background in customer analytics, loyalty, or pricing related use cases * Strong stakeholder management skills, with experience influencing senior leadership * Solid technical grounding in data science and analytics, with the credibility to guide teams ...

production Optimise model performance, cost, and latency in real-world environments Collaborate across engineering, product, and data teams to identify high-impact AI use cases What Were Looking For 5+ years in software engineering, with strong experience in Python and/or Java Hands-on experience working with ...

Inspire innovative thinking across client teams through persuasive narratives and structured insight. AI & Technology-Enabled Transformation Identify, prioritise, and shape AI and data use cases aligned to commercial outcomes. Translate business needs into structured requirements and collaborate closely with product and data science teams. Lead the deployment ...

understand business requirements Document requirements through workshops, interviews, and research Analyse data to extract meaningful insights and inform decision-making Create process flows, use cases, and reports with clarity and accuracy Support meetings to present findings and shape project direction Collaborate on solution development and project planning Manage ...

incident engineering. Participation in a 24x7 on call support rota, responding to SIEM health alerts and restoring log ingestion where required. Manage use cases, perform data enrichment, and define standardised and automated containment workflows. Develop and manage operational procedures and reporting methodology. Manage and oversee security technology platforms ...

LoRA/QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models … support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models ...

LoRA/QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models … support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models ...

powered data platforms. This role combines modern data engineering, LLM/AI integration, and financial domain expertise to deliver enterprise-grade solutions across use cases such as: Risk analytics & fraud detection Regulatory compliance automation Document intelligence (KYC, contracts, trade docs) Customer insights & conversational AI You will work … from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making ...