Location: London, 4 days in office (Shoreditch)Salary: Up to £220,000 + Bonus + Compelling EquityThis role is with one of Dex’s trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.If you're interested sign up to Dex to apply.Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.About the companyWe’re working with a high-growth, profitable technology company building a new category in performance marketing.Their platform rewards a global user base of tens of millions for engaging with digital products, creating a powerful acquisition channel for some of the world’s largest brands.The business has achieved significant scale and revenue without external funding and continues to grow rapidly across international markets.The opportunityThis is an early hire into a newly forming London engineering team.You’ll work on a core problem at the heart of the business: predicting user value in real time and optimising personalised reward systems at scale.The role is hands‑on, with ownership across the full lifecycle, from modelling to production deployment and iteration.What you’ll doDesign, build, and scale production‑grade ML systemsDevelop real‑time models to predict individual user value (pLTV)Optimise personalised reward systems based on behaviour and market dynamicsIdentify and diagnose underperforming campaigns using causal inferenceOwn end‑to‑end delivery: modelling, deployment, monitoring, and optimisationApply statistical methods (A/B testing, regression, probability) to ensure robustnessAlign ML solutions with business priorities and commercial impactPartner with product and engineering to translate problems into data‑driven systemsContribute to technical direction and raise engineering standardsTypes of problems you’ll be solvingReal‑time valuation of users across tens of millions of data pointsDesigning adaptive reward systems under behavioural drift and market shiftsUnderstanding not just what is happening in campaigns, but whyBalancing model accuracy, latency, and commercial outcomes at scaleYou should haveStrong experience building and deploying ML systems in productionDeep understanding of statistics (A/B testing, regression, probability)Strong programming skills in Python and SQLExperience working with cloud‑based infrastructureAbility to operate in high‑scale, data‑intensive environmentsA product‑oriented mindset with focus on impactStrong communication skills across technical and non‑technical stakeholdersExperience in adtech, monetisation, or gamingFamiliarity with metrics such as pLTV, retention, or ROASUnderstanding of incentive systems or user behaviour modellingTech environmentProduction ML systems operating at large scaleReal‑time data pipelines and decision systemsCloud‑native infrastructureStrong emphasis on statistical rigour and causal inferenceTight feedback loops between models and real‑world outcomesWhy it’s compellingWork on a genuinely difficult ML problem with immediate feedback loopsDirect impact on a product used by tens of millions of usersProfitable, high‑growth business with strong fundamentalsEarly‑stage London team with influence over technical directionHigh ownership and exposure to core business systemsCompetitive compensation with performance upsideIf you're interested, sign up to Dex to apply.As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns. #J-18808-Ljbffr