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| Job Location | London |
| Education | Not Mentioned |
| Salary | 75,000 - 85,000 per annum |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent , full-time |
Machine Learning Engineer - NLP and Computer VisionJoin this disruptive AI company leveraging the best practise in NLP and Computer Vision to help moderate different modes of online content.As a Machine Learning Engineer you will build world-class models that can effectively understand content and power online safety. You will work across their domains, designing, deploying and maintaining models which effectively moderate video, text, soundand photo content online.Their novel approach to AI interprets visual and audio content in context and therefore is ensuring that moderation is accurate and appropriate - evolving the way in which AI is being used to safeguard the internet.Responsibilities:* Design, develop, and maintain cutting edge, robust machine learning algorithms across different modalities* Evaluate model performance across different datasets and distribution shifts* Investigate possible model failure modes and how they can be solved* Keep up to date with machine learning papers and identify relevant researchThe role is being offered on either a hybrid or fully remote basis (whichever works for you!). There is also excellent training and development on offer - along with a whole host of other benefits.Apply today and have a huge impact!Keywords: ML, AI, Deep Learning, kube flow, argo, knative, AWS, Azure, Google Cloud, GCP, C#, Java, Python, Go, 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, GANs, Deep Neural Networks, CNNs, Fairness, Ethics, Research, Scientist, Researcher, PhD, Post Doctoral, Research Fellow, Lecturer, Reinforcement Learning,ACML, NIPS, ICML, ICVPR, Publications, Conferences, Journals, Bayesian Inference, Generative Models
Keyskills :
GCPJavaPythonAzureAWSDeep LearningGoogle Cloudrecommender systemsArtificial intelligencerecommendation systemsargokube flowknative