8 of 8 Permanent Natural Language Processing Jobs in Cambridge

and deploying machine learning solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python and … and lead on technical standards maintenance. Desirable : PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field. Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. Experience in applying machine learning to educational assessment and learning solutions Experience in leading More ❯

development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc. More ❯

art research and applying emerging AI techniques to solve business problems. Desirable: PhD or equivalent qualification and experience in Machine learning or AI/Computer Science Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with … Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications. Contributions to patents or peer-reviewed research publications in machine learning or related AI fields. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries More ❯

art research and applying emerging AI techniques to solve business problems. Desirable: PhD or equivalent qualification and experience in Machine learning or AI/Computer Science Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with … Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications. Contributions to patents or peer-reviewed research publications in machine learning or related AI fields. If you would like to know more about the above opportunities and what will make you successful, please see the full job descriptions attached to the More ❯

The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning to build industry-leading technology with Large Language Models (LLMs) and Multimodal systems. Key job responsibilities As part of the AGI team, the Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced … learning models or developing algorithms for business applications Experience programming in Java, C++, Python, or related languages Experience with neural deep learning methods and machine learning Experience with Large Language Models (LLMs) or multimodal systems PREFERRED QUALIFICATIONS PhD in Mathematics, Statistics, Engineering, Machine Learning, Computer Science, or related discipline 4+ years of industry or postdoctoral experience in machine learning … deep learning frameworks such as MxNet, PyTorch, or TensorFlow Experience in building large-scale machine learning systems Proficiency in state-of-the-art Natural Language Processing (NLP) and Computer Vision (CV) deep learning models Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation More ❯

come join us and make history. We are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning to help build industry-leading Speech, Language, Audio and Video technology. As an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms and generative AI models to drive the state of … BASIC QUALIFICATIONS - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience with programming languages such as Python, Java, C++ PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer More ❯

and unstructured information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing and machine learning, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and … experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models … for business application - Experience with natural language processing and/or processing of multi-modal data (e.g. images) PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience with training and evaluating LLMs Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

research activities Translate research needs into feasible pathways and reusable solutions through fast iterations Experience using Cloud services, such as Google and Amazon web services Artificial intelligence, such as natural language processing and graph learning Working in a cross disciplinary team with economists, computer, environmental, and other scientists This is a diverse and dynamic role, and the More ❯