Recommender Systems Jobs in London

26 to 32 of 32 Recommender Systems Jobs in London

Product Manager - Digital Subscription exp

London Area, United Kingdom
Evermore
Product Manage r to drive the next generation of their digital product suite which covers AI led products - LLM, Agentic AI, recommender systems and more. This is a pivotal role working directly with senior leadership to shape product vision and deliver impactful solutions across a portfolio of More ❯
Posted:

Product Manager - Digital Subscription exp

london, south east england, united kingdom
Evermore
Product Manage r to drive the next generation of their digital product suite which covers AI led products - LLM, Agentic AI, recommender systems and more. This is a pivotal role working directly with senior leadership to shape product vision and deliver impactful solutions across a portfolio of More ❯
Posted:

Senior Data Scientist, MAPLE - Recommender System

London, United Kingdom
Amazon
Senior Data Scientist, MAPLE - Recommender System Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling techniques? Join us and you … using AWS QuickSight, Tableau, R Shiny, etc. experience. Experience managing data pipelines. Experience as a leader and mentor on a data science team. Recommender System experience. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Staff Research Engineer, Applied ML

London, United Kingdom
WeAreTechWomen
developing standardized, efficient ML solutions in critical domains like parameter-efficient tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Staff Research Engineer, Applied ML

London, United Kingdom
Google Inc
developing standardized, efficient ML solutions in critical domains like parameter-efficient tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Senior Research Scientist

London, United Kingdom
Spotify AB
Scientist with a machine learning background to help us improve personalization experiences by integrating state-of-the-art generative AI technologies into our recommender systems. You will join a team of machine learning researchers whose focus is on innovating the Spotify experience through researching and developing ML technologies … at conferences or journals such as NeurIPS, ICML, ICLR, KDD or related. A solid understanding of machine learning and past research experience on recommender systems. Solid hands-on skills in implementing advanced ML algorithms, as well as sourcing, cleaning, analyzing and modeling of large-scale real data. You More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Lead Product Manager - Notifications

London, United Kingdom
Up Closets of Charleston
engagement and retention through intelligent, personalised notifications. Leveraging machine learning models and tooling you will oversee the development and implementation of a sophisticated recommender system determining which notifications to send to which users, thereby significantly boosting app retention. What you'll do Lead Notification Strategy: Drive the strategy … execution to ensure timely delivery of initiatives, overcoming obstacles and ensuring team alignment. Outcome 1: Increase user retention Ship an ML-powered notification recommender that delivers personalised, timely, insightful messages. Work cross functionally with DS and Engineering to ensure the recommender can scale and have an More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:
Recommender Systems
London
25th Percentile
£80,000
Median
£85,000
75th Percentile
£90,000