1 to 25 of 195 Remote/Hybrid Use Case Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

making those systems production-ready. That means owning the engineering that takes ML models and AI capabilities from experimentation into reliable, scalable production use: the pipelines, the deployment tooling, the monitoring, and the shared components that make the whole thing work. This is a hands-on role with … Build systems thatmonitormodel performance, drift,reliabilityand operational health in real time Support both batch and real‐time ML workloads depending on use case requirements Work on emerging AI and LLM‐powered capabilities, helping integrate modern AI techniques into production systems where they can deliver real user value ...

LLMs Evaluating and improving multi-agent workflows Researching defences against prompt injection and adversarial attacks Collaborating with security analysts to understand real-world use cases Supporting the evolution of the platform towards more advanced agentic architectures Communicating research findings to both technical and non-technical audiences Contributing ...

production. Responsibilities AI Solution Design & Delivery: Design, build, and deploy AI‐powered applications (chatbots, copilots, document intelligence, decision‐support tools) for insurance use cases; implement Retrieval‐Augmented Generation patterns; build LLM‐based workflows and agents. Cloud & Platform Engineering (GCP): Deploy solutions on GCP leveraging Vertex AI, BigQuery, Cloud ...

company operates. You won\'t just take tickets; you will own the end-to-end AI lifecycle. From proactively identifying high-impact use cases to evolving our entire AI tooling ecosystem, you will ensure every solution you ship is safe, compliant, and highly measurable. Ship High-Impact Solutions ...

with the relevant business and technical SMEs to implement AI-Ready data & information management controls based on prioritised data & information risks, key business use cases and prioritised data products. Lead on E2E Control Implementation – you will work closely with the relevant data role holders, business and engineering teams ...

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 like Fraud tackling that scales across new products, verticals and rails. Measurable reduction in fraud losses and false positives without ...

powered applications Ready to Work on AI That Actually Matters? If you're looking for an opportunity to move beyond traditional Machine Learning use cases and work on innovative AI solutions that genuinely make an impact, we'd love to hear from you. ...