Lead Data & AI Platform Engineer

🔥 18 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 10%

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Ticketmaster

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1976

🛍️ eCommerce

⚽ Sports

eCommerce • Entertainment • Sports

Ticketmaster is a leading ticketing platform that facilitates the sale of tickets for concerts, sports events, theater performances, and other live entertainment. The platform offers a user-friendly experience for purchasing tickets, as well as managing events and finding popular shows and games. Ticketmaster serves as the official ticket marketplace for many major sports leagues and artist events, making it a key player in the live entertainment industry.

📋 Description

• Lead the design and evolution of scalable data, analytics, and AI platforms supporting customer operations, automation, and operational intelligence across global markets • Architect and optimize Databricks-based data pipelines and enterprise data platforms unifying customer, operational, workforce, and AI datasets • Drive machine learning, NLP, Generative AI, and operational intelligence capabilities to improve customer experience, operational efficiency, and automation performance • Deliver actionable insights and executive-level reporting for strategic decision-making and operational improvement • Establish engineering standards, governance frameworks, and best practices for data quality, platform reliability, CI/CD, 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, 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 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 • 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

🏖️ Benefits

• Inclusive work environment • Support to balance work and homelife • Professional and personal development opportunities • New experiences and learning from talented colleagues • Equal opportunities regardless of gender, race, sexual orientation, religion, age, disability status, or caring responsibilities