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Staff Machine Learning Engineer

almediaLondonTech
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Salary
Not listed
Job type
Full-time
Experience
Senior
Posted
6 Oct 2026
Status
Open · checked 7d ago

About this role

Almedia is hiring a Staff Machine Learning Engineer in London to design and build production-grade real-time systems. This position suits an experienced engineer who enjoys end-to-end technical ownership, high-volume data scale, and cross-functional collaboration.

Role Overview

Almedia seeks a Staff Machine Learning Engineer to work hands-on within a small team located in King's Cross, London. The professional in this position will take complete ownership of real-time ranking, personalisation, and reward infrastructure, influencing system architecture and mentoring team members on delivery discipline.

Key Responsibilities

Design, build, and ship real-time ranking and personalisation systems targeted at the appropriate users
Construct reward and payout infrastructure that balances business value, costs, and user motivation
Implement behavioural prediction mechanisms using sequence and time-series systems
Conduct measurement and validation tasks through A/B testing, causal inference, and uplift modelling
Manage machine learning infrastructure encompassing training loops, pipelines, serving, and monitoring
Provide technical leadership and guidance on shipping discipline and measurable impact

Requirements

Experience shipping production systems end to end, covering formulation and impact measurement
Full-stack capability spanning data pipelines, live serving, monitoring, and decay handling
Background in causal thinking, including contextual bandits, propensity scoring, instrumental variables, and uplift modelling
Scale experience building systems that process real-time inference and high-volume behavioural datasets
Published work or equivalent research discipline
Cross-functional collaboration skills across data science, engineering, and product teams

Skills and Tools

A/B Testing
Causal Inference
Uplift Modelling
Propensity Scoring
Instrumental Variables
Contextual Bandits
Machine Learning Infrastructure

Salary and Benefits

Top-of-market compensation including substantial equity

About the Company

Almedia operates as a profitable, bootstrapped company building marketing technology that rewards a community of over 95 million users for engaging with advertiser products. The organization maintains a high revenue per employee and runs a small team by design to scale infrastructure handling billions of user interactions.

How to Apply

Interested candidates should apply directly on the official Almedia careers page.

Skills and tech stack

Questions candidates ask

Where is the role located?

The position is based in London, specifically in King's Cross.

What systems will the engineer own?

The engineer will own ranking and personalisation systems, reward and payout infrastructure, behavioural prediction time-series systems, measurement frameworks, and overall machine learning infrastructure.

What compensation is offered?

Almedia offers top-of-market compensation which includes substantial equity.

What scale of data does the infrastructure handle?

The systems handle billions of user decisions and interactions across multiple games, supporting millions of daily active users.

Is remote work mentioned for this position?

No, the posting specifies the location as London, King's Cross, without mentioning remote work options.

Ready to apply?

The application is on the official almedia careers page.

Apply on company site