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| Job Location | London |
| Education | Not Mentioned |
| Salary | 50,000 - 100,000 per annum |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent,full-timeB |
Do you thrive in an agile, fast-paced environmentIs your current role offering clear progression pathwaysDo you want to join and collaborate with techs brightest mindsI am searching for a talented Machine Learning Engineer (Recommender Systems, NLP) to join a disruptive Enterprise that has grown exponentially and on a global scale in recent years. This opportunity is based in Central London (open to hybrid work weeks).This innovative team is open to different levels of seniority.You will be joining the AI Lab where the team is utilising state-of-the-art tech to work on Recommendation Systems, NLP, and further fields. The team has competed to become a leading social platform in recent years through continuous innovations from someof Techs brightest minds!As a Machine Learning Engineer, you will be experienced with one or more general-purpose programming languages (e.g. Python), with previous commercial experience. If you are an ambitious individual looking to progress rapidly alongside a like-minded team,apply for immediate consideration for this role as a Machine Learning Engineer!What we can offer a Machine Learning Engineer (Recommender Systems, NLP):- Excellent, flexible compensation package- Broad exposure working on greenfield projects- Utilise cutting edge tech within a hands-on roleKey words: Machine Learning Engineer (Recommender Systems, NLP): AI, Artificial intelligence, recommendation systems, recommender systems, Python, Machine Learning, Phd, MSc, BSc, computer science, engineer, programmer, developer, NLP, PyTorch, TensorFlow, AWS, GCP, Azure, Cloud, Infrastructure, Development, Developer, Programmer, Programming, Software, AI, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Deep Neural Networks, DNN, Scientist, Research, Researcher,Cython, Modelling, Algorithms, Algorithmic, Team Work, Collaboration, Research