26 to 50 of 694 Remote/Hybrid Use Case Jobs

United Kingdom, London, London Staff 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 ...

enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls. As an early-career AI Engineer at NewRocket, you will have … client‐facing consultants to prototype and deliver scalable AI capabilities. You will gain exposure to the full AI solution lifecycle, from use‐case discovery and proof‐of‐concept development through production rollout, evaluation, monitoring, and continuous improvement. Travel to clients and conferences as needed. Key Responsibilities ...

through to release. Proficient in conveying complex technology ideas to non‐conversant audiences. Very strong analytical and problem‐solving skills for developing Product use cases and determining their associated value. Highly experienced team leader that can effectively manage small to medium IT delivery teams). Very strong communication ...

Experience working with AWS-native data services and event-driven architectures Experience building data products that support analytics, reporting, machine learning, or AI use cases Knowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patterns Experience leading distributed engineering teams Experience establishing engineering standards, reusable frameworks ...

Experience working with AWS-native data services and event-driven architectures Experience building data products that support analytics, reporting, machine learning, or AI use cases Knowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patterns Experience leading distributed engineering teams Experience establishing engineering standards, reusable frameworks ...

Experience working with AWS-native data services and event-driven architectures Experience building data products that support analytics, reporting, machine learning, or AI use cases Knowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patterns Experience leading distributed engineering teams Experience establishing engineering standards, reusable frameworks ...

policies, Horizon Catalog, access history, and data classification.Streaming and CDC patterns (Kafka, Kinesis, Snowpipe Streaming) and event-driven architectures for near real-time use cases.Data governance and metadata management (catalogs, lineage, MDM, data quality frameworks) with familiarity in regulatory regimes (e.g., GDPR/CCPA/HIPAA/ ...

environment of continuous improvement Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Help teams use GenAI effectively across engineering delivery, applying the right practices,controlsand guardrails. Hybrid working with the team on client site or in our office a minimum ...

internal technology teams to generate customer and business value. The role is focused on turning emerging AI opportunities into clear product priorities, practical use cases, market‐ready propositions and measurable outcomes. Overview This is a senior product leadership role within the CPO organisation, responsible for shaping and driving … related field. Success measures Clear AI strategy agreed across Product, GTM, Sales, GSC, Engineering and Partner teams. Prioritised AI use‐case portfolio linked to customer value, commercial potential and delivery feasibility. Product Managers actively using the AI strategy to shape roadmap decisions and customer propositions. Validated ...

internal technology teams to generate customer and business value. The role is focused on turning emerging AI opportunities into clear product priorities, practical use cases, market-ready propositions and measurable outcomes.**Overview**This is a senior product leadership role within the CPO organisation, responsible for shaping and driving … related field.**Success measures*** Clear AI strategy agreed across Product, GTM, Sales, GSC, Engineering and Partner teams.* Prioritised AI use-case portfolio linked to customer value, commercial potential and delivery feasibility.* Product Managers actively using the AI strategy to shape roadmap decisions and customer propositions.* Validated ...

machine learning and AI solutions, from discovery through to production deployment and ongoing optimisation Partner with business stakeholders to identify opportunities, define use cases, and prioritise work based on commercial value Design, develop, and deploy scalable machine learning, predictive analytics, and AI applications Drive technical best practices across ...

machine learning and AI solutions, from discovery through to production deployment and ongoing optimisation* Partner with business stakeholders to identify opportunities, define use cases, and prioritise work based on commercial value* Design, develop, and deploy scalable machine learning, predictive analytics, and AI applications* Drive technical best practices across ...

expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies. Accelerating impact with AI by enabling proof of value through prototypes and by translating complex ...

across SMBC EMEA. This role will oversee a team of AI engineers, delivering secure, scalable, and production‐grade AI systems that support strategic use cases in Capital Markets and Corporate Banking. The successful candidate will work closely with the AI Innovation and Transformation teams to align on deliverables ...

with stakeholders to understand business challenges and translate them into scalable data products. Develop and improve AI-powered solutions, including LLM and automation use cases. Drive best practices in model development, testing, monitoring and governance. Mentor colleagues and contribute to the wider technical direction of the team. About ...

model-serving. Our roadmap includes introducing a data integration layer to further drive value adoption, as well as supporting more advanced machine learning use cases.Technology Insights Centre (TIC). TIC aims to put commercial metrics regarding technology into the hands of decision makers, quickly and reliably. ...

/SOSL and platform automation . Experience delivering Data Cloud, Customer Data Platform (CDP) and Master Data Management (MDM) solutions, including Customer 360 use cases. Strong experience integrating Salesforce with enterprise systems using APIs, event-driven architectures and data integration technologies . Good understanding of SQL, data modelling ...

will involve**Building Data Applications** Developing modular and maintainable software components that process, transform and expose data for analytical, operational or AI driven use cases. You will follow strong engineering practices, with testing and observability built in from the start.**Streaming and Real Time Architecture** Designing and implementing ...

forecasting models Create anomaly detection and operational optimization solutions Develop computer vision and document intelligence applications Work with LLMs, RAG, and Generative AI use cases Apply MLOps practices for scalable deployments Translate business requirements into technical solutions Communicate findings to technical and non-technical stakeholders Collaborate ...

based solutions Develop connectors across enterprise apps, databases, SaaS, APIs, and knowledge repos Create reusable data services and data products to accelerate AI use cases Ensure access to high-quality, current data via robust retrieval/integration patterns Partner with AI Solution Architects, Data Scientists, and Product Owners ...

review.* Design data architectures that enable AI adoption — ensuring data is discoverable, well-governed, and AI-ready for machine learning, GenAI, and agentic use cases across the business.* Partner with AI/ML teams to define patterns for feature engineering, model data pipelines, vector search, and the safe ...

/SOSL and platform automation . Experience delivering Data Cloud, Customer Data Platform (CDP) and Master Data Management (MDM) solutions, including Customer 360 use cases. Strong experience integrating Salesforce with enterprise systems using APIs, event-driven architectures and data integration technologies . Good understanding of SQL, data modelling ...

Support the development of reusable semantic and business data structures where required. Ensure data models support both current reporting requirements and future analytical use cases. DevOps & Platform Operations Support DevOps practices including CI/CD pipelines, automated deployments and source-code management. Maintain version-controlled dbt projects ...

digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible AI operating models and delivery roadmaps covering use-case prioritisation, data readiness, architecture, governance, security, human oversight, adoption and value tracking.* Lead stakeholder alignment and change across engineering, manufacturing, supply chain, service … MBSE and their integration with ERP, MES and enterprise data and architecture. • The ability to translate emerging engineering technology into credible use cases, scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering ...

digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible AI operating models and delivery roadmaps covering use-case prioritisation, data readiness, architecture, governance, security, human oversight, adoption and value tracking.* Lead stakeholder alignment and change across engineering, manufacturing, supply chain, service … MBSE and their integration with ERP, MES and enterprise data and architecture. • The ability to translate emerging engineering technology into credible use cases, scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering ...