Ticketmaster

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

Ticketmaster
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2 hours ago
Remote, United KingdomStaff+

Responsibilities

  • Lead the design and evolution of scalable data, analytics, and AI platforms for customer operations, automation, and operational intelligence.
  • Architect and optimize Databricks-based data pipelines and enterprise data platforms integrating customer, operational, workforce, and AI datasets.
  • Develop machine learning, NLP, generative AI, and operational intelligence capabilities that improve customer experience, efficiency, and automation performance.
  • Deliver actionable insights, dashboards, and executive-level reporting for strategic and operational decision-making.
  • Establish engineering standards, governance frameworks, data quality practices, platform reliability practices, CI/CD processes, and AI lifecycle management.
  • Partner with Product, Operations, Engineering, Workforce Management, and AI teams to align technology investments with business objectives.
  • Provide technical leadership, coaching, mentorship, and day-to-day guidance to engineers and data scientists.

Requirements

  • 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 in a related technical leadership role.
  • Strong experience with Databricks, Spark, cloud data platforms, and enterprise-scale data pipelines.
  • Experience developing AI and machine learning 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 with CI/CD frameworks, version control, automated testing, and DevOps best practices.
  • Experience building scalable dashboards and reporting solutions with BI tools and modern visualization frameworks.
  • Ability to independently lead complex, high-visibility initiatives with competing priorities.
  • Strong communication, stakeholder management, and problem-solving skills.
  • Preferred experience with generative AI, LLM orchestration, prompt engineering, or AI-assisted automation workflows.
  • Preferred familiarity with Kubernetes, Docker, GitLab CI/CD, modern ML deployment frameworks, global customer operations environments, and platforms such as Zendesk, Five9, or Amelia.

Benefits

  • Permanent position.
  • Remote work in the United Kingdom.
  • Inclusive workplace with support for work-life balance and professional and personal development.
  • Opportunities to work with global teams and contribute to Ticketmaster and Live Nation’s live entertainment technology ecosystem.

Tech Stack

Categories

Data EngineeringML Engineering
Ticketmaster

About Ticketmaster

10,000+ employees

Ticketmaster gives millions of fans – worldwide – fair and easy access to the biggest and best in live entertainment. Driven by innovation, unparalleled scalability, and unmatched support, we are the definitive leader in professional ticketing solutions. Over 12,000 artists, teams, and venues around the world trust us to power their amazing performances daily — with more than 500 million tickets sold each year. We are a diverse team of 6,500+ global employees and a proud division of Live Nation Entertainment (NYSE: LYV), the world’s leading live entertainment company and an organization certified as a Great Place to Work®. Everything we do starts with our passion to dream, design, and deliver the unforgettable experience of live. Because we’re fans too — and live only happens once.

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