EMPOWERING LIVE 

PMY is a full-service provider of technology, data, and creative solutions for the live environment. 

With a growing global footprint across APAC, the USA, and EMEA, we are committed to delivering tailored, impactful solutions across sectors such as Sports & Entertainment, Stadiums & Arenas, Education, Public Sector & Infrastructure, and Retail. 

We combine a global perspective with decades of experience, and deep local insight in key markets. At PMY, our goal is to deliver cutting-edge strategy, design, and operational services across the full technology ecosystem – powered by proprietary and bespoke intelligence solutions and activated by a passionate and experienced team. 

• We aim to be the world’s leading technology partner for the live environment, helping clients access critical insights, innovative capabilities, and end-to-end technical expertise that supports operational excellence and drives commercial and strategic success.
• Across our group, we work to embody the PMY ethos – striving to be professional, dynamic, collaborative, and creative partners.
• Each of our companies brings deep technical knowledge and diverse global experience, enabling us to provide a truly integrated, turn-key solution spanning consulting and design, implementation and operations, software, and data, as well as brand, creative, content, and fan experiences.

At PMY Group, we are proud to be working with more than 1,000 valued clients in 15 countries. We have built a team of more than 500 talented professionals with more than 40 years of combined industry experience. 

ABOUT THE ROLE 

At PMY Group, we don’t build AI for the sake of it – we build AI that works in the real world. 

This role is about turning cutting-edge AI into practical, high-impact products used in live environments-stadiums, major sporting events, and large-scale public venues where performance, reliability, and trust actually matter. 

You’ll join our London-based EMEA team as an Applied AI / ML Engineer, working at the intersection of machine learning, product, and real-world delivery. This is not a research-only role. It’s for someone who wants to see their models deployed, used, and making decisions in operational environments. 

If you’re motivated by moving beyond prototypes-into production systems that influence real users, real workflows, and real outcomes – this is where you’ll thrive. 

WHAT YOU’LL DO 

You’ll take AI from idea to reality – owning the journey from concept through to production and continuous improvement. 

Build AI that actually gets used 

• Design and develop ML solutions across prediction, recommendation, optimisation, and intelligent automation 
• Translate business challenges into practical, scalable AI approaches 
• Focus on usability, reliability, and measurable impact – not just model accuracy 

Own the full ML lifecycle 

• Build and maintain end-to-end ML pipelines: data prep, feature engineering, training, evaluation, deployment, and monitoring 
• Ensure production-grade standards: versioning, testing, reproducibility, and performance 
• Continuously improve models through monitoring, feedback, and iteration 

Work with modern AI tools (including LLMs) 

• Develop applied AI solutions using LLMs, embeddings, retrieval, and prompt workflows 
• Design guardrails and evaluation methods to ensure trust, safety, and quality 
• Contribute reusable AI patterns that scale across projects 

Collaborate and influence 

• Work directly with stakeholders to shape real, delivery-ready AI use cases 
• Clearly explain trade-offs, assumptions, and value in plain language 
• Partner with product, engineering, and design teams to embed AI into real workflows 

Drive quality and trust 

• Champion best practices in evaluation, governance, and responsible AI 
• Ensure solutions are secure, explainable, and maintainable 
• Help define standards and approaches for applied AI across the business 

WHAT WE ARE LOOKING FOR 

We’re looking for someone who combines strong engineering fundamentals with product thinking and delivery realism. 

Core experience 

• 4–8 years in ML engineering, applied AI, or data-focused engineering roles 
• Proven experience building and deploying ML solutions in production environments 
• Strong Python and SQL skills with solid engineering discipline 

Technical capability 

• Experience across the full ML lifecycle (feature engineering – deployment – monitoring) 
• Familiarity with cloud platforms (AWS, Azure, or GCP) 
• Experience with tools like scikit-learn, PyTorch, TensorFlow, MLflow, or similar 

Applied AI mindset 

• Exposure to LLMs, embeddings, or retrieval-based systems is a strong plus 
• Ability to judge when AI is the right solution – and when it isn’t 
• Focus on delivering value, not just technical novelty 

Ways of working 

• Comfortable working across product, engineering, and stakeholder teams 
• Strong communication skills – you can explain complex ideas simply and credibly 
• Experience in client-facing or delivery environments is highly valuable 

 WHY PMY? 

• Growth: Scale your career with diverse projects and continuous learning. 
• Flexibility: Embrace a work-life balance with flexible hours and remote work opportunities. 
• Impact: Your work directly transforms the venue experience for millions. 
• Culture: Collaborate with a passionate team in a dynamic, innovative environment. 
• Benefits: Competitive compensation, fun team events and opportunities for personal and professional growth. 

We strive to build a team that reflects the diversity of the communities we work in. We welcome and encourage applications from traditionally underrepresented groups in the technology industry, including women, older people, people with a disability and ethnic minorities.