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Staff Machine Learning Engineer

Almedia· Tech
Apply on company site
London, UK£0 + equityFull-timePosted 1w ago

About the role

Production-grade ML systems for real-time ranking, personalisation, and reward structures. Hands-on, high-ownership role with influence over infrastructure as the company scales.

Responsibilities

  • Ranking and personalisation systems that reach the right users in real time
  • Reward and payout infrastructure balancing user motivation, cost, and business value
  • Behavioural prediction through time-series and sequence systems
  • Measurement and validation using A/B testing, causal inference, uplift modelling
  • ML infrastructure: pipelines, training loops, serving, monitoring
  • Technical leadership and mentorship on shipping discipline and impact

Qualifications

  • Shipped production systems end to end, from formulation through impact measurement
  • Full-stack capability: data pipeline to live serving to monitoring and decay
  • Causal thinking: propensity scoring, instrumental variables, contextual bandits, uplift modelling
  • Scale experience: built systems handling high-volume behavioural datasets and real-time inference
  • Published work or equivalent research discipline
  • Builder's mindset: energised by shipping. Zero-to-one experience valued
  • Cross-functional: collaborate across engineering, product, and data science teams on measurement and infrastructure

Skills

Required:Production-grade ML systemsFull-stack data to deploymentCausal inference techniques

Benefits

  • Top-of-market compensation
  • Substantial equity
  • Real behavioural data at scale with billions of user interactions and millions of DAU
  • Profitable from launch and high revenue per employee
  • Equal opportunity employer emphasizing diversity and growth
Last updated Oct 14, 2026. Interested? Apply on the company site.

About Almedia

The World’s Smartest Engagement Engine

Almedia operates Freecash.com & other web-apps which connect millions of consumers with brands to shape the products of tomorrow.

Web AppsConsumer EngagementMarketing

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