857 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.
- Design, implement, and evaluate novel NLP models and algorithms.
- Develop and deploy NLP applications for various use cases.
- Analyze and interpret complex linguistic data.
- Collaborate with researchers and engineers on AI projects.
- Stay updated with the latest advancements in NLP and AI research.
- Publish research findings in leading conferences and journals.
- Contribute to the development of AI tooling and infrastructure.
- Mentor junior researchers and contribute to team knowledge sharing.
- PhD in Computer Science, Computational Linguistics, Artificial Intelligence, or a related field with a strong focus on NLP.
- Proven research experience in NLP, demonstrated through publications or contributions.
- Expertise in Python and relevant NLP/ML libraries (e.g., Transformers, spaCy, NLTK, scikit-learn).
- Strong understanding of deep learning architectures, particularly transformers.
- Experience with deep learning frameworks (TensorFlow, PyTorch).
- Familiarity with large language models (LLMs).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, suitable for a remote environment.
- Ability to work independently and as part of a distributed team.
AI Research Scientist - Natural Language Processing
Posted 1 day ago
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Job Description
Responsibilities:
- Conduct original research in Natural Language Processing, focusing on areas such as machine translation, sentiment analysis, text summarisation, question answering, and dialogue systems.
- Develop, implement, and evaluate novel NLP algorithms and models using state-of-the-art machine learning techniques.
- Work with large-scale text and speech datasets, performing data cleaning, pre-processing, and feature engineering.
- Collaborate with software engineers to integrate research prototypes into production systems.
- Publish research findings in top-tier AI conferences and journals.
- Stay abreast of the latest advancements in NLP, machine learning, and deep learning.
- Design and execute experiments to validate research hypotheses.
- Contribute to the development of the company's intellectual property portfolio.
- Mentor junior researchers and interns.
- Present research progress and findings to internal and external stakeholders.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong focus on NLP.
- Proven track record of research in NLP, evidenced by publications in reputable venues.
- Deep understanding of machine learning algorithms, statistical modelling, and deep learning architectures (e.g., Transformers, RNNs, CNNs).
- Proficiency in programming languages such as Python and associated libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).
- Experience with large-scale data processing and distributed computing frameworks.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work effectively in a collaborative, fast-paced research environment.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
This is a unique opportunity to contribute to the future of AI within a highly innovative company based in **Edinburgh, Scotland, UK**. If you are a driven researcher with a passion for NLP and AI, we encourage you to apply.
Lead AI Research Scientist - Natural Language Processing
Posted today
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Responsibilities:
- Lead research initiatives in NLP, focusing on areas such as language understanding, generation, translation, sentiment analysis, and dialogue systems.
- Design and implement state-of-the-art machine learning models and algorithms for NLP tasks.
- Conduct rigorous experiments, analyse results, and publish findings in top-tier conferences and journals.
- Develop novel approaches to address challenging problems in language processing, pushing the boundaries of current capabilities.
- Mentor and guide a team of AI researchers and engineers, fostering a culture of innovation and scientific excellence.
- Collaborate with product teams to translate research breakthroughs into practical AI-powered features and products.
- Stay abreast of the latest advancements and emerging trends in AI, machine learning, and NLP.
- Contribute to the development of the company's AI strategy and long-term research roadmap.
- Author and co-author research papers, technical reports, and patents.
- Present research findings to both technical and non-technical audiences.
- Manage research projects, ensuring timely delivery of milestones and objectives.
- Foster relationships with academic institutions and the wider AI research community.
Qualifications and Experience:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong focus on NLP.
- Minimum of 7 years of post-doctoral research experience in NLP, with a proven track record of impactful contributions.
- Deep understanding of various NLP techniques, including deep learning models (e.g., Transformers, LSTMs, CNNs), traditional ML algorithms, and linguistic theories.
- Proficiency in programming languages commonly used in AI research, such as Python, and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face).
- Experience with large-scale data processing and distributed computing frameworks.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong leadership and team management abilities.
- Outstanding written and verbal communication skills, with the ability to articulate complex ideas clearly.
- Proven ability to work independently and manage complex research projects in a remote setting.
- Track record of publications in leading AI/NLP venues (e.g., NeurIPS, ICML, ACL, EMNLP).
This is a fully remote role, offering flexibility and the chance to work on impactful AI research. While not tied to a specific physical office, the role often supports the strategic direction for AI initiatives within the UK, particularly for clients or operations related to the Derby, Derbyshire, UK region, requiring an understanding of the UK technology landscape.
Senior AI Research Scientist - Natural Language Processing
Posted today
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Job Description
- Conduct cutting-edge research in NLP and develop novel algorithms and models.
- Design, implement, and evaluate machine learning and deep learning models for various NLP tasks.
- Process and analyze large-scale text datasets.
- Collaborate with software engineers to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI, NLP, and related fields.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and engineers.
- Contribute to the overall AI strategy and roadmap.
- Present complex technical concepts to both technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of experience in AI research, with a strong focus on NLP.
- Proven track record of publications in leading NLP/AI conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Expertise in programming languages such as Python, and proficiency with ML frameworks like TensorFlow or PyTorch.
- Deep understanding of transformer architectures, attention mechanisms, and other state-of-the-art NLP techniques.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills for a remote team environment.
Senior AI Research Scientist - Natural Language Processing
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Conduct state-of-the-art research in Natural Language Processing, including areas such as text generation, summarisation, translation, sentiment analysis, and question answering.
- Develop and implement novel deep learning models and algorithms for NLP tasks.
- Design and execute rigorous experiments to evaluate model performance and identify areas for improvement.
- Stay abreast of the latest advancements in AI and NLP research, both within academia and industry.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with engineering teams to transition research prototypes into production-ready systems.
- Mentor junior researchers and contribute to the growth of the AI research community within the organisation.
- Contribute to the development of the overall AI strategy and roadmap.
- Present research findings to technical and non-technical audiences.
- Ensure ethical considerations and bias mitigation are integrated into NLP models and applications.
Qualifications:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a specialization in NLP.
- Minimum of 5 years of post-doctoral or industry research experience in NLP.
- Demonstrated track record of impactful research, evidenced by publications in leading AI/NLP venues (e.g., ACL, EMNLP, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Deep understanding of various NLP techniques, including transformers, RNNs, LSTMs, and attention mechanisms.
- Experience with large-scale data processing and distributed computing is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts clearly.
- This is a hybrid role, requiring regular attendance at our Birmingham, West Midlands, UK office, alongside remote work flexibility.
Lead AI Research Scientist - Natural Language Processing
Posted today
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Job Description
Responsibilities:
- Conduct cutting-edge research in NLP, developing novel algorithms and models for tasks such as text classification, sentiment analysis, machine translation, summarization, and question answering.
- Design and implement experiments to evaluate the performance of AI models, rigorously analyzing results.
- Stay abreast of the latest advancements in AI and NLP, identifying opportunities for application within the company.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Mentor junior researchers and engineers, fostering a culture of learning and innovation.
- Publish research findings in leading academic conferences and journals.
- Develop and maintain documentation for research projects and methodologies.
- Contribute to the strategic direction of the AI research roadmap.
- Secure and manage research grants and collaborations where applicable.
- Present complex technical concepts to both technical and non-technical audiences.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of hands-on research experience in Natural Language Processing.
- Proven track record of publications in top-tier AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Deep understanding of various NLP techniques, including transformer architectures, RNNs, LSTMs, and attention mechanisms.
- Experience with large-scale data processing and distributed computing.
- Excellent analytical, problem-solving, and critical-thinking abilities.
- Strong communication and teamwork skills, with the ability to lead and inspire.
Senior AI Research Scientist - Natural Language Processing
Posted 1 day ago
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Lead AI Research Scientist, Natural Language Processing
Posted 1 day ago
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Responsibilities:
- Lead and mentor a team of AI research scientists and engineers focused on NLP.
- Conduct groundbreaking research in areas such as natural language understanding, generation, translation, and dialogue systems.
- Develop novel algorithms and models for advanced NLP tasks using deep learning techniques.
- Design and implement research experiments, analyze results, and publish findings in leading academic venues.
- Translate cutting-edge research into practical, deployable AI solutions for products and services.
- Collaborate with product management and engineering teams to define research roadmaps and integrate AI capabilities.
- Stay abreast of the latest advancements in AI, machine learning, and NLP through literature review and conference participation.
- Contribute to the intellectual property portfolio through patent filings.
- Represent the company at scientific conferences and industry events.
- Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related field.
- Demonstrated record of significant contributions to the NLP research community through publications and/or open-source contributions.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers, spaCy).
- Proficiency in programming languages such as Python.
- Strong theoretical foundation in machine learning, statistical modeling, and algorithms.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management capabilities.
- Excellent communication and presentation skills, with the ability to articulate complex technical concepts.
Senior AI Research Scientist - Natural Language Processing
Posted 1 day ago
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Job Description
- Conducting fundamental and applied research in NLP, focusing on areas such as text generation, summarization, sentiment analysis, machine translation, and question answering.
- Designing, implementing, and evaluating state-of-the-art deep learning models for NLP tasks (e.g., Transformers, LSTMs, CNNs).
- Developing and deploying scalable NLP models into production environments.
- Collaborating with cross-functional teams, including software engineers, product managers, and other researchers, to integrate AI capabilities into our offerings.
- Staying abreast of the latest academic research and industry trends in AI and NLP.
- Publishing research findings in top-tier conferences and journals, and presenting work internally and externally.
- Mentoring junior researchers and contributing to the growth of our AI research community.
- Contributing to the development of intellectual property and patents.
- Designing and executing rigorous experiments to validate hypotheses and measure model performance.
- Ensuring ethical considerations and bias mitigation are addressed in AI models.
The ideal candidate will possess a Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field, with a strong publication record. A minimum of 5 years of post-doctoral or industry research experience in NLP is required. Deep expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and a strong understanding of NLP techniques and algorithms are essential. Proficiency in Python and experience with large-scale data processing are necessary. Excellent problem-solving skills and the ability to think creatively and analytically are paramount. Strong communication and collaboration skills are vital for success in a hybrid work environment. If you are passionate about advancing the field of AI and NLP and want to work on challenging, impactful projects, we encourage you to apply.
Senior AI Researcher - Natural Language Processing
Posted today
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, focusing on areas such as large language models, semantic understanding, and dialogue systems.
- Design, develop, and implement novel AI algorithms and models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Perform rigorous experimentation and evaluation of models, analyzing results to drive research direction.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with engineers to deploy research prototypes into production systems.
- Stay abreast of the latest advancements and trends in AI, machine learning, and NLP.
- Mentor junior researchers and contribute to the growth of the research team.
- Contribute to the intellectual property portfolio through patent applications.
- Present research work internally and externally to diverse audiences.
- Engage with the broader AI research community.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong focus on NLP.
- A minimum of 5 years of post-doctoral or industry research experience in NLP.
- Proven track record of impactful research, demonstrated through publications in leading AI venues.
- Deep understanding of machine learning theory, deep learning architectures (e.g., Transformers, RNNs, CNNs), and NLP techniques.
- Proficiency in programming languages such as Python and experience with deep learning frameworks (TensorFlow, PyTorch).
- Strong analytical, mathematical, and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to articulate complex research concepts clearly.
- Experience working in a remote research environment and collaborating effectively with distributed teams.
- Ability to drive research projects from conception to publication or implementation.
- Passion for pushing the boundaries of AI and its applications.
- While this role is fully remote, occasional virtual collaboration with colleagues in the Bradford, West Yorkshire, UK area may be necessary for project alignment.