440 Natural Language Processing jobs in London
AI Research Scientist - Natural Language Processing
Posted 15 days ago
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AI Research Scientist - Natural Language Processing
Posted 16 days ago
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Senior AI Research Scientist - Natural Language Processing
Posted 3 days ago
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Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- 5+ years of relevant research experience in Natural Language Processing.
- Demonstrated track record of publications in top-tier AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
- Expertise in deep learning frameworks (TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Strong programming skills in Python.
- Deep understanding of NLP concepts and algorithms (e.g., sequence-to-sequence models, attention mechanisms, language modeling).
- Experience with large-scale data processing and distributed computing.
- Proven ability to conduct independent research and deliver innovative solutions.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, essential for a remote team environment.
Senior AI Research Scientist - Natural Language Processing
Posted 8 days ago
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As a Senior AI Research Scientist, you will be responsible for designing, developing, and implementing advanced NLP models and techniques. This includes working on tasks such as text generation, sentiment analysis, machine translation, question answering, and summarization. You will contribute to groundbreaking research publications, present findings at leading conferences, and translate research breakthroughs into practical applications. A deep understanding of machine learning, deep learning architectures (e.g., Transformers, LSTMs), and statistical modeling is essential. Experience with large-scale datasets and distributed computing environments is highly desirable.
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing and related areas of Artificial Intelligence.
- Design, develop, and implement novel NLP algorithms and models, including deep learning architectures.
- Experiment with and fine-tune state-of-the-art NLP models (e.g., BERT, GPT, T5) for specific tasks.
- Analyze and preprocess large text datasets, ensuring data quality and relevance.
- Evaluate model performance using appropriate metrics and statistical methods.
- Collaborate with software engineers to deploy research prototypes into production systems.
- Publish research findings in top-tier AI conferences and journals (e.g., NeurIPS, ICML, ACL, EMNLP).
- Stay abreast of the latest advancements in NLP, machine learning, and artificial intelligence.
- Mentor junior researchers and contribute to the overall research strategy.
- Contribute to grant proposals and explore new research avenues.
- Engage with the broader AI research community.
Principal AI Research Scientist - Natural Language Processing
Posted 16 days ago
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Key Responsibilities:
- Lead research initiatives in NLP, exploring novel algorithms, models, and techniques to solve complex language-related challenges.
- Design, develop, and implement state-of-the-art NLP models, including transformer architectures, large language models (LLMs), and semantic analysis techniques.
- Conduct rigorous experimentation and evaluation of NLP models, assessing performance, scalability, and robustness.
- Publish research findings in top-tier academic conferences and journals, contributing to the scientific community.
- Collaborate closely with engineering teams to translate research prototypes into production-ready AI systems.
- Mentor junior researchers and engineers, guiding their technical development and project contributions.
- Stay abreast of the latest advancements in AI, machine learning, and NLP, identifying opportunities for innovation.
- Contribute to the strategic direction of the AI research roadmap, shaping future projects and investments.
- Develop and maintain strong collaborative relationships with academic institutions and industry partners.
- Present research progress and findings to technical and non-technical stakeholders.
- Ensure ethical considerations and responsible AI practices are integrated into all research and development efforts.
- Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related field with a specialization in NLP.
- Minimum of 10 years of progressive research experience in AI/ML, with a significant focus on NLP.
- Proven track record of impactful research, evidenced by publications, patents, or successful product implementations.
- Deep expertise in machine learning fundamentals, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Extensive experience with large-scale datasets and distributed computing environments.
- Strong understanding of various NLP tasks, including text classification, sentiment analysis, named entity recognition, machine translation, summarization, and question answering.
- Proficiency in programming languages such as Python.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to articulate complex technical concepts clearly.
- Demonstrated leadership capabilities and experience mentoring research teams.
Senior AI Research Scientist, Natural Language Processing
Posted 16 days ago
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Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas such as language modelling, text generation, sentiment analysis, machine translation, and information extraction.
- Develop and implement novel AI algorithms and deep learning models for NLP tasks.
- Design and execute experiments to evaluate the performance of AI models and validate research hypotheses.
- Collaborate with engineering teams to translate research prototypes into production-ready systems.
- Publish research findings in leading academic conferences and journals.
- Stay abreast of the latest advancements in AI, machine learning, and NLP through literature review and active participation in the research community.
- Mentor junior researchers and provide technical guidance.
- Contribute to the strategic direction of AI research within the organisation.
- Present research findings to both technical and non-technical audiences.
- Contribute to patent applications and intellectual property development.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a specialization in NLP.
- Minimum of 5 years of relevant research experience in NLP and deep learning.
- Proven track record of publications in top-tier NLP/AI conferences (e.g., ACL, EMNLP, NeurIPS, ICML) and journals.
- Strong theoretical understanding and practical experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages such as Python, and experience with relevant libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Experience with large-scale datasets and distributed computing is desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
- Ability to work independently and drive research projects forward.
Senior AI Research Scientist (Natural Language Processing)
Posted 17 days ago
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Senior AI Research Scientist - Natural Language Processing
Posted 19 days ago
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Senior AI Research Scientist - Natural Language Processing
Posted 19 days ago
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Key Responsibilities:
- Conduct advanced research in Natural Language Processing, focusing on areas such as text generation, sentiment analysis, machine translation, question answering, and information extraction.
- Design, develop, and implement novel deep learning models and algorithms for NLP tasks.
- Collaborate with a team of world-class researchers and engineers to translate research findings into practical applications.
- Publish research findings in top-tier AI conferences and journals.
- Develop and maintain high-quality, production-ready code for NLP models.
- Evaluate and benchmark the performance of NLP models using rigorous experimental methodologies.
- Stay abreast of the latest advancements in AI, machine learning, and NLP research.
- Mentor junior researchers and contribute to the intellectual growth of the research team.
- Contribute to the strategic direction of AI research within the organization.
- Work with software engineers to integrate AI models into existing and new products.
- Present research findings to both technical and non-technical audiences.
- Contribute to grant proposals and secure funding for research projects where applicable.
- Ensure the ethical considerations and potential biases of AI models are addressed.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Minimum of 5 years of post-doctoral research experience in NLP or a strong academic research record.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python and experience with relevant libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Solid understanding of statistical methods, machine learning algorithms, and deep learning architectures relevant to NLP.
- Demonstrated experience with large-scale datasets and distributed training techniques.
- Excellent publication record in leading AI/ML/NLP conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to articulate complex research ideas clearly.
- Ability to work independently and collaboratively in a remote research setting.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
Senior AI/ML Engineer - Natural Language Processing
Posted 1 day ago
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Responsibilities:
- Design, develop, and implement advanced NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and machine translation.
- Build and fine-tune large language models (LLMs) and transformer architectures for specific applications.
- Develop and maintain robust data pipelines for collecting, cleaning, and preprocessing text data.
- Conduct research and experiments to evaluate and improve the performance of NLP models.
- Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.
- Collaborate with product managers, data scientists, and software engineers to integrate AI capabilities into client offerings.
- Stay abreast of the latest advancements in AI, machine learning, and NLP research, and apply them to practical problems.
- Contribute to the technical roadmap and strategy for AI/ML initiatives.
- Mentor junior engineers and share knowledge within the team.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of hands-on experience in machine learning engineering, with a strong focus on NLP.
- Proven expertise in developing and deploying NLP models using frameworks like TensorFlow, PyTorch, Hugging Face Transformers, or spaCy.
- Proficiency in Python and associated libraries (NumPy, Pandas, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Deep understanding of deep learning architectures, particularly transformers and recurrent neural networks.
- Strong analytical and problem-solving skills, with the ability to tackle complex technical challenges.
- Excellent communication and collaboration skills, with the ability to explain technical concepts to diverse audiences.
- Experience with containerization technologies (Docker, Kubernetes) is a plus.