Top Tech Jobs & Startup Jobs in London

Own user acquisition and end-to-end marketing for one or two mobile game titles. Manage incentivized networks, coordinate UA, creative, monetization, product, and external partners, develop creative and monetization strategies, forecast budgets, project ROI, and optimize multimillion-pound marketing spend across hundreds of millions of impressions.

Build and operate a centralized game event data hub by developing data ingestion, preparation, orchestration, quality checks, backfills, metadata management, monitoring, and alerting. Collaborate with data engineers across studios to align shared solutions with existing patterns. Contribute to productionizing, monitoring, and maintaining machine learning pipelines as responsibilities expand.

Investigate and improve fraud detection for a user segmentation system supporting revenue-share decisions. Review and refine fraud signals, monitor segment effectiveness, collaborate with product teams on market-specific verification methods, investigate manually flagged users, improve review workflows, and recommend third-party fraud prevention tools as patterns evolve.

Analyze and improve fraud signals, user segmentation, and review processes for a player rewards platform. Investigate suspicious users, monitor segment performance, evaluate verification methods such as facial verification, ID scanning, and phone verification, and recommend third-party fraud tools. Partner with product and data teams to translate analysis into operational fraud controls as fraud patterns evolve.

Lead the finance function for a rapidly scaling gaming startup, overseeing accounting, month-end close, treasury, reporting, controls, budgeting, forecasting, financial modeling, payments, international expansion, statutory reporting, and audit. Partner with product, legal, tax, compliance, and senior leadership to build scalable finance systems and processes.

Build and improve tabular machine learning training pipelines for dynamic pricing and recommender systems in mobile games. Responsibilities include feature and label design, model training and evaluation, monitoring performance and drift, diagnosing data and model issues, and supporting A/B testing. The role partners with monetization and product teams to connect model decisions with revenue and player outcomes, while using and validating AI-assisted development tools.

Own ad monetization strategy for a portfolio of mobile games from prototype through launch. Build and optimize ad waterfalls, manage mediation setups, onboard and troubleshoot ad partners, conduct rigorous A/B tests, track monetization KPIs, and report insights to product, user acquisition, and leadership teams. Drive new monetization initiatives in partnership with engineering and collaborate across product, QA, and growth functions.

Deliver and validate statistical logic for a company-wide experimentation platform. Prototype analyses in Python, perform independent QA of platform outputs, investigate discrepancies, automate QA where possible, collaborate with Data Engineering, BI, ML and product teams, and contribute to future statistical and ML initiatives.