About this role
Salary: £60,000 - 100,000 per year
Requirements: Senior-level ML engineering experience, ideally with exposure to ad tech, recommendation, or auction systemsStrong grounding in machine learning fundamentals, feature engineering, and model evaluationExperience with Spark, Python, and Java in production ML settingsComfort with production ML infrastructure and real-time, low-latency serving requirementsDemonstrated fluency with AI and agentic engineering toolsClear communication skills with the ability to explain reasoning and trade-offs Responsibilities: Design, train, and ship ML models for ad relevance and bid/yield optimizationBuild and maintain production ML infrastructure for real-time, low-latency servingWork across Spark, Python, and Java to move models from research to productionApply sound feature engineering, validation, and evaluation practices throughout the modelling lifecycleDiagnose production ML issues such as model drift or long-tail classification problemsCommunicate technical trade-offs clearly to engineering and cross-functional partners Technologies: AISupportJavaMachine LearningPythonRokuSparkAI AgentsClaude CodeCursorLESSMCP More:
We are Roku, the #1 TV streaming platform in the U.S., Canada, and Mexico, and we pioneered streaming to the TV. Our mission is to connect the entire TV ecosystem by helping consumers find the content they love, enabling publishers to build and monetize audiences, and giving advertisers unique ways to engage consumers at scale. You will join Praveen Krishnaiahs Native Ads Modelling team, working on the ML systems behind ad relevance, bid and yield optimization, and real-time ad serving. This is a senior, hands-on role based in the UK, with a Manchester-anchored setup. We offer a fast-paced, collaborative environment, generally work in the office Monday through Thursday with flexible remote work on Fridays, and provide a broad range of benefits including mental health and financial wellness support, statutory and voluntary benefits, leave policies, and local healthcare and retirement options where available.
last updated 36 week of 2026