Machine Learning engineer / research scientists required to join a global Artificial Intelligence R&D team working on Natural Language Process Machine Learning Engineering focusing on Deep learning and the development and prototyping of effective ML algorithms in software. Skills;
Data Science and Machine Learning. Python or Java Programming. Development of machine learning and deep learning solutions Text Mining and Natural Language Processing (NLP) Frameworks such as Keras, TensorFlow, PyTorch, sklearn, liblinear, Weka, or OpenNLP etc. Knowledge of NLPThe latest news, articles, and resources, sent to your inbox weekly.
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of...
Spotify London
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of...
Spotify London
Founded in 2014, InstaDeep is today an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Berlin, Tunis, Kigali, Cape Town and the USA. InstaDeep has been named among the Top 100 global AI startups for three consecutive years by CB Insights,...
InstaDeep London
We are looking for a Machine Learning Infrastructure Engineer to help us build the next generation of AI-based audio understanding technologies. Our team expands the state of the art in AI-based machine listening technology, which enables new ways to search, re-use, explore, understand, and recommend music. We build products for...
Spotify London
Position SummaryThe Distributed AI group in SAIC Cambridge is looking for a Machine Learning Engineer to join the team and work directly with research scientists and ML engineers of diverse skill sets, supporting research efforts in the areas of embedded/distributed ML, communications and robotics. The person will be responsible for...
SAMSUNG Cambridge
PhD Project:Unlocking the code within the code: Using AI to decipher the role of codon usage in protein synthesis and gene regulationPlease note:This PhD opportunity does not come with a funding award. The successful applicant will need to need to secure their own funding to finance the course.Supervisor:Dr Susanne BornelövDeadline...
Cancer Research UK Cambridge Institute Cambridge