Machine Learning Engineer
Ort: London · Bereich: Data, AI & Analytics · Level: Senior · GBP130,000 – GBP230,000 / yearly · Veröffentlicht: 21. Juni 2026 · Geprüft: 30. Aug. 2026
Rollenübersicht & Beschreibung
Über das Unternehmen
Almedia
almedia.coRewarded user acquisition platform connecting advertisers with incentivised users.
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
Develops and deploys machine learning models and AI systems, building scalable ML pipelines, optimizing model performance, and integrating AI capabilities into production environments using Python, TensorFlow, and PyTorch.
Hands-on Machine Learning / AI Engineer to convert business problems into production-ready ML and AI solutions. Works closely with Product, Engineering, Data, and Ad Operations teams to develop models, data pipelines, APIs, experiments, and intelligent automation systems.
This Machine Learning Engineer role focuses on developing, deploying, and maintaining machine learning models in production. The engineer will work on model training, optimization, and integration into core products, requiring strong skills in Python and ML frameworks.
Weitere Positionen bei Almedia
3 weitere offene Stellen
This role manages the entire creator partnership lifecycle at Almedia, from sourcing and negotiating with Instagram and YouTube creators to overseeing campaign execution and performance. The manager tracks KPIs like CPM, CPI, and ROAS, collaborates with performance marketing and creative teams, and scales the creator network. Requires German fluency and in-office presence five days a week.
This role manages app user acquisition campaigns across AppLovin, Facebook, TikTok, Instagram, Snapchat, and DSPs, overseeing $500k+ daily spend. Responsibilities include daily performance monitoring, budget and bid adjustments, creative strategy, and attribution management using Adjust. The ideal candidate has proven experience scaling app install campaigns on at least two major platforms.
This role manages app user acquisition campaigns across AppLovin, Google UAC, Facebook, TikTok, and DSPs, overseeing $500k+ daily spend. Responsibilities include daily performance monitoring, budget and bid adjustments, creative strategy, and attribution management using Adjust. The ideal candidate has proven experience scaling app install campaigns on at least two major platforms.
