Lead Data & AI Platform Engineer

🔥 21 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Live Nation Entertainment

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

📱 Media

💰 Post-IPO Debt on 2023-01

Media • Entertainment

Live Nation Entertainment is the global leader in live entertainment, powering unforgettable experiences around the world. Artist-powered and fan-driven, Live Nation works with musicians to bring their creativity to life on stages across the globe. As the top producer of concerts, ticket seller, and brand connector to music, Live Nation's platform leads the market in these three core industries. Their mission extends beyond entertainment, aiming to uplift, inspire, and create memories through the power of live music.

📋 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 • Independently lead complex projects and initiatives with competing priorities and organizational visibility

🎯 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 • Opportunities to enjoy new experiences and learn from talented colleagues • Equal opportunity employment • Human review of AI-supported application screening and assessment