AI Engineer

Central London, South East WC1, United Kingdom

Full-time Permanent Mid-level Senior

Posted 21 Apr 2026

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 insightinkey markets. At PMY, our goal is to deliver cutting-edgestrategy, 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 technicalexpertisethat 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, aswellas brand, creative, content, and fan experiences.

At PMY Group, we are proud to be working with more than 1,000 valued clients in 15countries.

We have built a team of more than
500talented professionals with more than 40 years of combined industry experience.

ABOUT THE ROLE

AtPMY Group, wedon’tbuild AI for the sake of it - we build AI that works in the real world.

This role is about turningcutting-edgeAI into practical, high-impact productsused in live environments-stadiums, major sporting events, and large-scale public venues where performance, reliability, and trustactually matter.

You’lljoin 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’sfor someone who wants to see their modelsdeployed, used, and making decisions in operational environments.

Ifyou’remotivated by moving beyond prototypes-into production systems that influence real users, real workflows, and real outcomes - this is whereyou’llthrive.

WHAT YOU’LL DO

You’lltake AI from idea to reality-owning the journey from concept through to production and continuous improvement.

Build AI thatactually getsused

• 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 andmaintainend-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’relooking 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…