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Location
In office (London)
Seniority
Senior
Visa
Licensed UK visa sponsor
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 11, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
Core Delivery Products is the Ads pillar that builds the products that power the core capabilities of our ads system: from targeting, to bidding, optimization, and user quality. The team has a track record of making critical contributions to company top line goals with most of Meta revenue flowing through these core systems, and our year on year improvements continuing to drive significant top-line impact.

In EMEA, we have 3 complete sub-pillars operating with high autonomy: Targeting, Core Ads Quality, & Direct Response Optimization. All the sub-pillars are responsible for growing revenue, machine learning product solutions end to end, alongside the reliability and stability of these core products. All have their cross functional teams co-located with them.

Responsibilities

Apply relevant AI and machine learning techniques to build Ads auction/user behaviour treatments Develop novel, accurate AI algorithms and advanced systems for large scale applications Work towards long-term ambitious production goals, while identifying intermediate milestones Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results Work with large data, and contribute to development of large scale foundation models Design and build methods, tools, and infrastructure to advance AI capabilities

Qualifications

Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++ Bachelor's degree in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experience Experience in bringing research results into production Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use Track record delivering successful products with large scale impact Experience in Ads, especially in auction theory and implementation (bidding, budgeting, targeting) Experience in User Behavior modeling, Long-term Value optimization, or Causal Learning PhD in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experience Experience in Reinforcement Learning, GenAI, Large Language Models, etc

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