4,191 Natural Language Processing jobs in the United Kingdom
AI Research Scientist - Natural Language Processing
Posted today
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Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing and related AI fields.
- Develop and implement novel algorithms and models for language understanding and generation.
- Design and execute experiments to evaluate model performance and gather insights.
- Contribute to research publications in leading AI conferences and journals.
- Collaborate with other researchers and engineers on complex AI projects.
- Develop and maintain robust, scalable, and efficient AI systems.
- Stay abreast of the latest advancements in NLP, machine learning, and deep learning.
- Contribute to the design and implementation of AI research roadmaps.
- Present research findings internally and externally.
- Mentor junior researchers and interns.
- Write clear and comprehensive technical documentation.
- Utilise advanced programming skills (Python) and AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Engage in theoretical and practical aspects of AI development.
- Champion ethical considerations and responsible AI practices.
- Contribute to open-source AI communities and initiatives.
Required Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a focus on NLP.
- Significant research experience and a strong publication record in NLP/AI.
- Deep understanding of core NLP concepts and techniques (e.g., embeddings, sequence models, attention mechanisms).
- Proficiency in Python and experience with major ML/DL frameworks (TensorFlow, PyTorch, Keras).
- Experience with large language models (LLMs) and their applications.
- Strong analytical, mathematical, and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a remote research setting.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Familiarity with MLOps practices is advantageous.
- Must be legally eligible to work in the UK.
- A passion for scientific discovery and innovation in AI.
- Ability to adapt to rapidly evolving research landscapes.
- Experience with distributed training techniques is a plus.
This is an exceptional opportunity for a talented AI researcher to make significant contributions to the field. If you are driven by innovation and thrive in a fully remote, intellectually stimulating environment, we encourage you to apply for this position in Milton Keynes, Buckinghamshire, UK .
AI Research Scientist - Natural Language Processing
Posted 1 day ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, focusing on areas such as language modeling, text generation, sentiment analysis, and information extraction.
- Develop, implement, and optimize novel AI algorithms and machine learning models.
- Design and execute experiments to evaluate model performance, analyzing results and drawing meaningful conclusions.
- Collaborate closely with other researchers and engineers to integrate research findings into practical applications.
- Stay up-to-date with the latest advancements in AI, machine learning, and NLP through literature review and conference participation.
- Publish research findings in top-tier academic conferences and journals.
- Contribute to the development of proprietary AI technologies and intellectual property.
- Mentor junior researchers and contribute to a culture of innovation and scientific rigor.
- Utilize cloud computing platforms and large-scale datasets for model training and deployment.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven research experience and a strong publication record in NLP and/or Machine Learning.
- Deep understanding of NLP techniques, algorithms, and frameworks (e.g., Transformers, BERT, GPT).
- Proficiency in programming languages such as Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with large-scale data processing and distributed computing.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills, with the ability to present complex technical information effectively.
- Ability to work independently and collaboratively in a remote, fast-paced research environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
AI Research Scientist - Natural Language Processing
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Conduct state-of-the-art research in Natural Language Processing, including areas like machine translation, text generation, sentiment analysis, and question answering.
- Develop, implement, and evaluate advanced machine learning and deep learning models for NLP tasks.
- Explore and apply cutting-edge AI techniques, including transformer architectures, LLMs, and reinforcement learning.
- Design and execute experiments to test hypotheses and validate research findings.
- Publish research results in leading AI conferences and journals.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI, machine learning, and NLP.
- Mentor junior researchers and contribute to the team's knowledge base.
- Contribute to shaping the research roadmap and strategy.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Minimum of 7 years of research experience in AI and NLP, with a strong publication record.
- Deep understanding of machine learning algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Expertise in NLP techniques, libraries (e.g., Hugging Face Transformers, spaCy, NLTK), and concepts.
- Experience with large-scale data processing and distributed computing.
- Strong programming skills in Python.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Exceptional communication and presentation skills, capable of articulating complex research ideas.
- Proven ability to work independently and effectively in a remote research setting.
AI Research Scientist (Natural Language Processing)
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas like sentiment analysis, machine translation, text summarization, and question answering.
- Develop, implement, and evaluate novel NLP models and algorithms using state-of-the-art machine learning and deep learning frameworks.
- Design and execute experiments to test hypotheses and validate research findings.
- Collaborate with a team of researchers and engineers to integrate research prototypes into production systems.
- Stay current with the latest advancements in AI and NLP by reading academic papers, attending conferences, and engaging with the research community.
- Publish research findings in top-tier conferences and journals.
- Contribute to grant proposals and secure research funding.
- Mentor junior researchers and interns, providing technical guidance and support.
- Develop and maintain high-quality code for research experiments and prototypes.
- Communicate complex research ideas effectively to both technical and non-technical audiences.
- Analyze large datasets to identify patterns and extract valuable insights for NLP applications.
The ideal candidate will have a deep theoretical understanding of machine learning and deep learning, with a specific focus on NLP. Proven experience in developing and deploying NLP models using frameworks like TensorFlow, PyTorch, or Keras is essential. Strong programming skills in Python, along with experience in data manipulation and analysis libraries (e.g., NumPy, Pandas), are required. Excellent problem-solving abilities, creativity, and a passion for scientific discovery are key. You should be comfortable working both independently and as part of a research team, contributing to a collaborative and innovative work environment. The ability to articulate complex technical concepts and contribute to the broader scientific community is highly valued.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a specialization in NLP.
- Strong publication record in leading AI/NLP conferences and journals.
- Minimum of 3-5 years of research experience in NLP.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python programming and relevant libraries (e.g., NLTK, SpaCy, Hugging Face Transformers).
- Solid understanding of machine learning algorithms and statistical modeling.
- Experience with large-scale data processing and analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
AI Research Scientist - Natural Language Processing
Posted 1 day ago
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Job Description
AI Research Scientist - Natural Language Processing
Posted 4 days ago
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Job Description
The ideal candidate will possess a strong theoretical foundation in NLP, machine learning, and deep learning, coupled with practical experience in developing and deploying sophisticated language models. You will be involved in cutting-edge research, experimenting with novel algorithms, and contributing to impactful AI solutions. Key responsibilities include:
- Designing, developing, and evaluating advanced NLP models and algorithms.
- Conducting research into areas such as language understanding, generation, machine translation, and sentiment analysis.
- Implementing and fine-tuning large language models (LLMs) for various applications.
- Collaborating with other researchers and engineers remotely to translate research findings into practical applications.
- Publishing research findings in top-tier AI conferences and journals.
- Staying current with the latest developments and breakthroughs in the NLP and ML fields.
- Developing prototypes and proof-of-concepts for new AI-driven features and products.
- Analyzing and interpreting large datasets to identify patterns and inform model development.
- Contributing to the overall research strategy and direction of the team.
- Mentoring junior researchers and interns in the field of NLP.
Required Qualifications:
- A PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A proven track record of research in Natural Language Processing, evidenced by publications and/or impactful projects.
- Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in Python and relevant NLP libraries (e.g., Hugging Face Transformers, NLTK, spaCy).
- Hands-on experience with large language models (LLMs), transformers, and related architectures.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills, essential for effective remote teamwork.
- Ability to work independently and manage research projects effectively in a remote setting.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Residency or ability to work remotely from **Sunderland, Tyne and Wear, UK**, or other approved locations globally.
If you are a passionate AI researcher at the forefront of NLP innovation and seeking a fully remote role, we encourage you to apply.
AI Research Scientist - Natural Language Processing
Posted 4 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP).
- Develop and implement novel NLP models, algorithms, and techniques.
- Design and execute experiments to evaluate model performance.
- Analyze large-scale text datasets to extract insights and train models.
- Collaborate with engineers to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and NLP research.
- Publish research findings in top-tier academic conferences and journals.
- Contribute to the development of intellectual property and patents.
- Present research results to both technical and non-technical audiences.
- Mentor junior researchers and contribute to a collaborative research environment.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related field.
- Proven track record of research and publication in top-tier NLP conferences (e.g., ACL, EMNLP, NAACL) and journals.
- Deep understanding of NLP concepts, including tokenization, embeddings, sequence-to-sequence models, and attention mechanisms.
- Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python programming and relevant libraries (e.g., NumPy, SciPy, Pandas, Scikit-learn).
- Experience with transformer architectures (e.g., BERT, GPT) and their applications.
- Experience in working with large text datasets and distributed computing environments.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills.
- Ability to work independently and collaboratively in a remote research setting.
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AI Research Scientist - Natural Language Processing
Posted 4 days ago
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Job Description
Key Responsibilities:
- Conduct groundbreaking research in various areas of NLP, including but not limited to, language modelling, machine translation, sentiment analysis, information extraction, and conversational AI.
- Develop, implement, and evaluate novel deep learning architectures and algorithms for NLP tasks.
- Design and execute experiments to test hypotheses and validate research findings.
- Publish research results in top-tier AI conferences and journals.
- Collaborate with other researchers and engineers to integrate research prototypes into production systems.
- Stay current with the latest advancements in AI, machine learning, and NLP literature.
- Contribute to the intellectual property portfolio through invention disclosures and patent applications.
- Mentor junior researchers and interns, fostering a collaborative research environment.
- Explore and define new research directions and opportunities in NLP.
- Analyze large-scale text datasets to identify patterns and inform model development.
- Present research findings to technical and non-technical audiences.
- Contribute to the development of open-source NLP tools and frameworks.
- Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong focus on NLP.
- A proven track record of impactful research in NLP, evidenced by publications in leading venues (e.g., ACL, EMNLP, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Deep understanding of transformer architectures, recurrent neural networks (RNNs), and convolutional neural networks (CNNs) for NLP.
- Proficiency in programming languages like Python.
- Experience with large language models (LLMs) and their applications.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to articulate complex research ideas.
- Ability to work independently and collaboratively in a distributed team environment.
- Experience with distributed training and high-performance computing is a plus.
AI Research Scientist - Natural Language Processing
Posted 5 days ago
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Job Description
Responsibilities:
- Conduct research into advanced NLP techniques, including language modeling, sentiment analysis, machine translation, and question answering.
- Develop and implement novel algorithms and models for text understanding and generation.
- Design and execute experiments to evaluate the performance of NLP models.
- Stay current with the latest research papers, conferences, and industry trends in AI and NLP.
- Collaborate with software engineers to integrate research findings into production systems.
- Publish research findings in reputable journals and present at academic and industry conferences.
- Explore new applications for NLP technologies across various domains.
- Mentor junior researchers and interns, fostering a culture of innovation.
- Contribute to the intellectual property portfolio through patent applications.
- Analyze large datasets to extract insights and inform model development.
- Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- Proven track record of impactful research in NLP, demonstrated through publications and contributions.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with NLP libraries (e.g., NLTK, SpaCy, Hugging Face).
- Deep understanding of classical NLP techniques and modern neural network architectures (e.g., Transformers, RNNs, LSTMs).
- Experience with large-scale data processing and distributed computing.
- Excellent analytical and problem-solving abilities.
- Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Ability to work effectively in a collaborative research environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
AI Research Engineer - Natural Language Processing
Posted 10 days ago
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Job Description
The ideal candidate will have a strong theoretical foundation in machine learning and deep learning, with practical experience in NLP tasks such as text generation, sentiment analysis, machine translation, and question answering. You will be responsible for developing novel approaches, building robust prototypes, and contributing to the scientific community through publications and open-source contributions. This role requires a passion for pushing the boundaries of AI, excellent problem-solving skills, and the ability to work autonomously in a remote setting. Strong programming skills in Python and experience with deep learning frameworks are essential.
Key Responsibilities:
- Conduct research and development in Natural Language Processing, focusing on areas such as language understanding, generation, and dialogue systems.
- Design, implement, and train deep learning models for various NLP tasks using frameworks like TensorFlow or PyTorch.
- Experiment with and evaluate state-of-the-art NLP architectures and techniques.
- Develop robust and scalable NLP pipelines for real-world applications.
- Collaborate with cross-functional teams to integrate NLP capabilities into product features.
- Analyze and interpret experimental results, and document findings in technical reports and research papers.
- Contribute to the open-source AI community and publish research findings.
- Stay up-to-date with the latest advancements in AI, machine learning, and NLP.
- Mentor junior researchers and engineers.
- Ensure the ethical and responsible development of AI technologies.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 2-5 years of research experience in Natural Language Processing.
- Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., Hugging Face Transformers, NLTK, SpaCy).
- Solid understanding of machine learning algorithms and statistical modeling.
- Experience with large-scale data processing and distributed computing.
- Demonstrated ability to conduct independent research and publish in top-tier conferences/journals.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, effective for remote teamwork.
This is a fully remote position, offering maximum flexibility and the chance to work with a global team.