PMY Group

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London
Posted 29 days ago

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JOIN PMY’S TECH TALENT NETWORK

WE’RE HIRING -JOIN PMY’S TECH TALENT NETWORK

READY TO GET IN THE GAME?

Step onto the front lines of sport, entertainment, and technology by submitting your application below.

ABOUT US

We operate across some of the world’s most prestigious global sporting events, international tournaments and championships, major football clubs and large-scale live entertainment projects. From iconic stadiums and arenas to precincts and live event sites, our work brings together event delivery and integrated technology solutions.

We design, deliver and drive the technology ecosystems that enable seamless operations, unlock commercial value, and provide real-time intelligence in the moments that matter most. With 1,000+ clients globally and a team of 500+ across EMEA, USA, and APAC, we’re building a network of high-calibre talent in the UK to support a growing pipeline of complex, high-impact projects.

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PRIORITY HIRING OPPORTUNITIES:

Performance Data Scientist Architect / Tech Lead Data Engineering Lead

Applied AI / ML Engineer Product Owner Commercial Data Scientist DevOps / Platform Engineer

Tech Manager QA Lead / Senior Quality Engineer Analytics / Semantic Engineer Data Engineer Tech Advisory

WHAT MAKES YOU A GREAT FIT?

Experience across sport, major events, venues, or large infrastructure technology projects Strong communication skills and confidence working with clients Passion for innovation and delivering high-quality work Background in consulting, technology, or related industries

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WHY PMY?

Work on high-impact projects at scale Solve real-world challenges in live environments Collaborate with a global team across APAC, USA and EMEA Be part of a business at the intersection of technology, intelligence, and fan experience Contribute to work that is seen, felt, and experienced by millions

JOIN PMY's TALENT NETWORK

If you’re looking for your next opportunity, we’d love to hear from you. Register your interest to join our talent network and be first to be considered.

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Skills

Performance Data Science
Data Engineering
Applied AI
Machine Learning
Product Ownership
Commercial Data Science
DevOps
Platform Engineering
Quality Assurance
Analytics
Semantic Engineering
Tech Advisory
Client Communication
Innovation
High-Quality Work