Specialism 01 · Machine Learning Engineering
Machine learning engineers for iGaming.
We place the applied scientists and ML engineers who take models out of the notebook and into live, regulated gaming products. Whether you're hiring for AI engineer jobs in iGaming or looking for your next machine learning role, this is the specialism we recruit for most.
Machine learning in iGaming
Where machine learning earns its keep.
Machine learning has moved from a nice-to-have to a core capability across iGaming. Operators, studios and suppliers now lean on ML for the things that decide whether a business wins: personalising the player experience, detecting fraud and protecting players in real time, pricing and trading, sharpening acquisition and retention, and keeping platforms safe and compliant at scale. The companies pulling ahead are the ones with engineers who can take an idea from a promising model to a reliable, production-grade system running against live, real-money traffic.
That makes machine learning engineers some of the most sought-after, and hardest to find, people in the sector. The strongest candidates pair deep ML knowledge with genuine software engineering discipline: they can train a model, but they can also deploy it, monitor it, and reason about latency, cost and failure modes when it's serving thousands of players a second. Add the regulatory and responsible-gaming context that iGaming demands, and the talent pool narrows sharply.
That gap is exactly why we exist. We focus only on AI and data roles in iGaming, so we understand both sides: the technical reality of shipping machine learning, and the commercial and compliance pressures of a regulated gaming business. Whether you're building a recommendation engine, a fraud and risk model, a player-safety system or a brand-new ML platform, we connect you with engineers who have done it before, not just read about it. And if you're a machine learning engineer weighing up your next move, we'll point you only at the roles, and the companies, actually worth your time.
Who we place
The machine learning roles we recruit.
From hands-on build to technical leadership, across operators, studios and suppliers.
The stack
The tools and stack we recruit for.
We recruit machine learning engineers across the modern ML stack, and we map real experience to your environment rather than keyword-matching a CV. Common ground includes:
Why a specialist
We can tell a builder from a buzzword.
We screen for real ML
We know the difference between someone who has shipped models and someone who has only read about them. Your shortlist reflects it.
We know the iGaming context
Real-money stakes, live traffic, compliance and responsible-gaming constraints. We brief candidates on what makes ML here different.
A live AI talent network
Active and passive ML engineers across Malta, Gibraltar, Cyprus, the UK and remote Europe, the people who rarely answer job ads.
Speed without the spam
A tight, relevant shortlist, not a stack of CVs. You spend your time interviewing, not filtering.
FAQ
Machine learning hiring, answered.
What does a machine learning engineer do in iGaming?
They design, build, deploy and maintain the models behind things like personalisation, fraud and risk, player safety, pricing and recommendations, and keep them running reliably against live, real-money traffic.
What's the difference between a machine learning engineer and a data scientist?
Broadly, data scientists focus on analysis, experimentation and insight, while machine learning engineers focus on building and shipping models into production. The line blurs at smaller companies, where one person often does both.
What salaries do machine learning engineers command in iGaming?
It varies by seniority, location and company, but ML and AI engineering is among the better-paid disciplines in the sector. We can share current benchmarks for your specific role and market.
Do you recruit remote machine learning engineers?
Yes. We place permanent and contract ML engineers across Malta, Gibraltar, Cyprus and the UK, and on fully remote roles open across Europe.
Hiring machine learning talent?
Tell us what you're building and we'll find the engineers to build it.