1 to 25 of 278 Remote/Hybrid Use Case Jobs in England

account executives and solution engineers. Build and maintain the EMEA AI content suite in Smarsheet’s enablement platformHighspot: discovery slides, AI use‐case messaging guides, MCP value narratives, and competitive positioning against regional alternatives. Track enablement adoption through leading indicators including Gong keyword usage, Highspot engagement … market activation for Smartsheet's MCP platform, including multi‐connector capabilities, partner integrations, and agentic workflow positioning. Develop EMEA‐specific MCP use‐case content that connects platform extensibility to the workflow patterns, integration ecosystems, and buyer priorities prevalent in European enterprise environments. Partner with EMEA partner teams ...

research, development and technology translation programmes with university and industry partners and innovators. Our focus is on software, application, algorithm, design, architecture and use cases, and not on hardware development. The role provides an opportunity to both investigate new and emerging quantum technologies with academia and innovators … delivering technology strategy, horizon scanning, roadmaps and research agendas. Strong understanding of contemporary Quantum and photonics technologies, including Quantum computing (use case, algorithms, optimisation and quantum machine learning); Quantum sensing (solution, product and use case development); Quantum networking (use case ...

research, development and technology translation programmes with university and industry partners and innovators. Our focus is on software, application, algorithm, design, architecture and use cases, and not on hardware development. The role provides an opportunity to both investigate new and emerging quantum technologies with academia and innovators … delivering technology strategy, horizon scanning, roadmaps and research agendas. Strong understanding of contemporary Quantum and photonics technologies, including Quantum computing (use case, algorithms, optimisation and quantum machine learning); Quantum sensing (solution, product and use case development); Quantum networking (use case ...

equal parts technical depth, consultative credibility, analytical rigour, and business fluency, with expertise to go deep into why a specific agent use case succeeded or failed rather than speak about AI at a high level. What you will do: Adoption Tracking & Measurement Maintain a live view … stalling, and what the root causes are and turn those insights into actionable recommendations. Produce regular adoption reporting for programme leadership Use Case Routing & Account Strategy Assess the pipeline of available agent use cases and map them to the right accounts based on delivery maturity ...

technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business‐specific Use Case solutions. Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable … talented team of AI engineers & Data Scientists, while remaining hands‐on enough to solve complex engineering bottlenecks; you will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities ...

DevOps and operations teams to embed security into delivery pipelines and infrastructure as code practices. Support threat detection, incident response readiness, use‐case tuning, and post‐incident improvement activities. Contribute to security standards, policies, patterns, reusable accelerators, and client‐facing deliverables including assessments, risk registers and executive … security left. 3. SIEM Experience Hands‐on experience with SIEM platforms for log onboarding, correlation rule creation, alert triage, dashboarding and use‐case tuning. Ability to improve visibility, reduce noise, and align SIEM content to relevant threats and business risks. 4. Organisation/General Security Broad understanding ...

industry leaders — helping them understand what AI can and cannot do, and what good looks like. Shape AI programmes, including use case prioritisation, adoption strategies, governance frameworks, ethical risk considerations and operating model implications. Lead multidisciplinary teams through AI-enabled transformation, setting direction, maintaining quality and owning … technical audiences. Credibility in Defence, national security, government or similarly complex, high-stakes environments. Experience shaping AI strategies, including use case identification, prioritisation frameworks, governance design and adoption planning. A practical understanding of the risks, limitations and organisational challenges of AI adoption — not just the opportunities. Strong ...

clear operational and commercial value for customers. The role covers the full business development lifecycle, including prospecting, stakeholder engagement, opportunity qualification, use case development, internal coordination, RFI/RFP/tender support and commercial follow‐up. This is not a Key Account Management role. … stakeholders across government, defence organisations, security agencies, critical infrastructure operators and industry partners. Structure and rigorously qualify opportunities, including stakeholder mapping, use‐case definition, budget identification, procurement route, decision‐making process and delivery feasibility. Drive opportunities from initial engagement and opportunity shaping through to proposal development, internal ...

BPMN CoE, platform engineering teams, and business delivery stakeholders. It combines platform implementation support with hands-on project management of early adoption use cases, alongside helping to manage and prioritise a growing demand pipeline. Key Responsibilities: Manage end-to-end delivery of assigned workflow automation projects using Camunda … Provide clear and structured reporting to stakeholders on delivery progress, risks, and key decisions Manage project dependencies across platform build and use case delivery to ensure alignment and sequencing Support vendor engagement and delivery where external partners are involved in platform or use case ...

Data strategy, operating models and transformation roadmaps Data governance, data quality and wider data management initiatives AI and machine learning use cases that support business growth and innovation Programme governance, planning, risk management and delivery activities Cross-functional teams including Architects, Engineers, Data Scientists and Business Analysts Agile ...

where required. Experience designing integrations across multiple enterprise platforms, APIs and external data sources. Knowledge of AI, machine learning or Large Language Model use cases within operational environments. Ability to operate across strategy, architecture and delivery while remaining pragmatic and outcome-focused. Strong stakeholder engagement and communication skills ...

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 safe exposure ...

seamless integration across Oracle and third‐party applications. Design and implement Databricks‐based modern data platforms supporting analytics, reporting, and AI/ML use cases. Develop enterprise data architecture standards, data models, and integration patterns to ensure consistency and scalability. Lead cloud migration and modernization initiatives, including workload ...

working for data architecture, DataOps, and governance. Ensure data models, pipelines, and storage systems support both product needs and advanced analytics/ML use cases. Bridge Data Science & Cloud Engineering Act as the primary interface between data science and cloud engineering teams. Translate analytical and ML needs into ...

White Collar Factory (95009), United Kingdom, London — Staff Software Engineer (Machine Learning). 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 ...

Palantir Foundry Build data ingestion, transformation, and integration processes across diverse data sources Create trusted data assets for downstream operational, reporting, and AI use cases Develop and maintain data models, governance frameworks, and lineage standards Architect Foundry solutions capable of supporting large‐scale, complex environments Develop user‐facing ...

platforms. Desirable Skills Experience within Asset Management, Private Equity, Financial Services or another regulated environment. Exposure to AI technologies, Copilot or Generative AI use cases within analytics. Knowledge of data architecture and modern Microsoft data technologies. Experience implementing governance frameworks and best practices. Understanding of security, compliance ...

Splunk Enterprise Admin and development. You will be proficient in Splunk Enterprise Security (SIEM) - administering, managing, and maintaining SIEM. Experienced in developing use cases/correlation searches. You will be proficient in data models. Have hands-on knowledge and understanding of Splunk Cloud. Hands-on experience of Microsoft ...

focus areas: Strategy & Vision: Proven experience in defining and owning organizations AI roadmap aligned with business goals Experience in identifying high impact AAI use cases across functions and evaluating emerging AI technologies for adoption Experience in driving AI-first thinking across the organization. Proven experience in leadership ...

expertise. You'll be building and optimising complex SQL transformations at scale, ensuring data is accurate, performant, and trusted across analytics and ML use cases. The environment is modern and cloud-first, with exposure to Spark, Snowflake, and BigQuery across AWS, GCP, and Azure. You'll also collaborate ...

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 ...

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 ...