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# Lead Data & AI Platform Engineer (Remote, United Kingdom)

- **Company:** Live Nation
- **Location:** UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Automation of Tests, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Cloud Services, Enterprise Data Management, System Availability, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, AI Platforms, Gitlab-ci, Kubernetes, Data Management, Zendesk, Natural Language Understanding, Software Version Control, Data Pipelines, Docker, Databricks
- **Published:** September 3, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=40114790b23de333

## About the Role

* Experience with Generative AI, LLM orchestration, prompt engineering, or AI-assisted automation workflows
 * Familiarity with Kubernetes, Docker, GitLab CI/CD, and modern ML deployment frameworks
 * Experience supporting global or enterprise-scale customer operations environments
 * Knowledge of contact center platforms such as Zendesk, Five9, Amelia, or conversational AI tooling ecosystems

## Description

* Architect and optimize Databricks-based data pipelines and enterprise data platforms that unify customer, operational, workforce, and AI datasets into trusted intelligence solutions.
 * Drive the development of machine learning, NLP, Generative AI, and operational intelligence capabilities that improve customer experience, operational efficiency, and automation performance.
 * Deliver actionable insights and executive-level reporting that inform strategic decision-making and identify opportunities for operational improvement.
 * Establish engineering standards, governance frameworks, and best practices for data quality, platform reliability, CI/CD, and AI lifecycle management.
 * Partner across Product, Operations, Engineering, and AI teams to align technology investments with business objectives and long-term strategy.
 * Provide technical leadership, coaching, and day-to-day guidance to engineers and data scientists, supporting professional development, delivery excellence, and adoption of best practices across data, analytics, and AI initiatives., * Strong experience designing scalable data platforms, enterprise data architectures, and Databricks-based operational intelligence solutions.
 * Proven experience as a Data Engineer, Analytics Engineer, Data Scientist, Machine Learning Engineer, AI Engineer, or related technical leadership role.
 * Strong experience with Databricks, Spark, cloud data platforms, and enterprise-scale data pipelines.
 * Experience developing AI/ML solutions using Python and modern data science frameworks.
 * Strong background in statistics, machine learning, NLP, forecasting, and operational analytics.
 * Deep understanding of conversational AI ecosystems, intent modeling, NLU analytics, and AI performance measurement.
 * Experience implementing CI/CD frameworks, version control, automated testing, and DevOps best practices.
 * Experience building scalable dashboards and reporting solutions using BI tools and modern visualization frameworks.
 * Ability to independently lead complex initiatives with competing priorities and organizational visibility.
 * Strong communication, stakeholder management, and problem-solving skills., * You balance strategic thinking with hands-on execution, navigating ambiguity and making sound decisions.
 * You provide technical leadership, coaching, and mentorship that helps others grow and succeed.
 * You establish scalable solutions, standards, and best practices that improve organizational capability.
 * You communicate clearly, build trust, and foster a culture of accountability, collaboration, and continuous improvement.