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

Lead the design and evolution of scalable data, analytics, and AI platforms that support customer operations, automation, and operational intelligence across global markets.

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.

WHAT YOU NEED TO KNOW (or TECHNICAL SKILLS)

• Strong experience designing scalable data platforms, enterprise data architectures, and Databricks-based operational intelligence solutions.

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.

PREFERRED QUALIFICATIONS

• Experience with Generative AI, LLM orchestration, prompt engineering, or AI-assisted automation workflows

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

You take ownership of complex initiatives and deliver results that drive meaningful business impact.

You build strong partnerships and influence outcomes across technical and business teams.

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.

Ticketmaster recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Ticketmaster may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms. Ticketmaster may use artificial intelligence (AI) tools to support application screening and assessment. All hiring decisions are made with human review.

• Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.