984 Nlp Research jobs in the United Kingdom
Natural Language Processing (NLP) Engineer
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Your Personal AI is seeking a talented Natural Language Processing (NLP) Engineer to join our AI Research and Development department. As an NLP Engineer, you will play a key role in developing cutting-edge algorithms and models to enhance our AI technology.
Collaborate with a team of researchers and developers to design and implement NLP solutions
Utilize machine learning techniques to improve language understanding and processing
Conduct experiments and analyze data to optimize NLP algorithms
Stay up-to-date with the latest advancements in NLP and AI technologies
If you are passionate about NLP and have a strong background in machine learning and data analysis, we would love to hear from you. Join us at Your Personal AI and be part of a dynamic team that is shaping the future of artificial intelligence.
Job Requirements for Natural Language Processing (NLP) Engineer at Your Personal AI
Thank you for your interest in the NLP Engineer role at Your Personal AI in the AI Research and Development department. To ensure we find the best candidate for this position, please review and include the following job requirements in your job posting:
Bachelor's degree in Computer Science, Engineering, or related field
Proven experience in developing NLP algorithms and models
Familiarity with machine learning techniques and frameworks
Proficiency in programming languages such as Python, Java, or C++
Strong analytical and problem-solving skills
Excellent communication and teamwork abilities
Ability to work independently and meet project deadlines
If the job requirements are not met, we kindly ask you to revise the job posting accordingly. Thank you for your attention to this matter.
Lead AI Engineer - Natural Language Processing
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Responsibilities:
- Lead the design, development, and implementation of advanced NLP models and algorithms.
- Mentor and guide a team of AI engineers, fostering a culture of technical excellence and innovation.
- Conduct research and experimentation to explore new NLP techniques and methodologies.
- Develop and deploy production-ready AI systems, ensuring scalability, robustness, and efficiency.
- Collaborate with product managers and stakeholders to define project requirements and roadmaps.
- Analyze large datasets to extract insights and inform model development.
- Evaluate and integrate state-of-the-art NLP tools and libraries.
- Contribute to the overall AI strategy and technical vision of the company.
- Stay current with the latest advancements in AI, machine learning, and NLP research.
AI Research Engineer - Natural Language Processing
Posted 1 day ago
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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.
Senior AI Researcher - Natural Language Processing
Posted 1 day ago
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Lead AI Researcher - Natural Language Processing
Posted 2 days ago
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The role involves designing and developing novel NLP models, algorithms, and systems, with a focus on areas such as text generation, summarization, machine translation, sentiment analysis, and question answering. You will mentor junior researchers, foster a collaborative research environment, and stay abreast of the latest advancements in AI and machine learning. A deep understanding of deep learning frameworks (e.g., TensorFlow, PyTorch) and extensive experience with large language models (LLMs) are crucial.
This position requires a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field, coupled with a strong publication record. You should have demonstrable experience in leading research projects and a passion for pushing the boundaries of AI. Excellent problem-solving skills, analytical thinking, and the ability to communicate complex technical concepts effectively to both technical and non-technical audiences are essential. This is a fully remote role, allowing you to contribute from your preferred location.
Responsibilities:
- Lead and mentor a team of AI researchers.
- Design, develop, and evaluate state-of-the-art NLP models.
- Conduct original research and publish findings in leading venues.
- Collaborate with engineering teams to deploy research prototypes.
- Stay current with the latest AI/ML research and trends.
- Contribute to the strategic direction of AI research.
- Develop and maintain strong collaborations with the research community.
- PhD in Computer Science, AI, ML, or related field.
- Proven experience in Natural Language Processing.
- Expertise in deep learning frameworks (TensorFlow, PyTorch).
- Strong publication record in top AI conferences/journals.
- Experience leading research projects and teams.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation abilities.
- Experience with large language models (LLMs).
AI Research Scientist - Natural Language Processing
Posted 2 days ago
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Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas like deep learning for NLP, large language models, sentiment analysis, text generation, and machine translation.
- Design, implement, and evaluate novel algorithms and models for NLP tasks.
- Develop and maintain robust research prototypes and contribute to the development of production-level AI systems.
- Collaborate closely with other researchers, engineers, and product managers to translate research findings into practical applications.
- Publish research findings in top-tier AI conferences and journals.
- Stay abreast of the latest advancements and research trends in NLP and machine learning.
- Analyse and interpret complex data to inform research directions and model improvements.
- Contribute to the intellectual property portfolio of the company through invention and patent applications.
- Mentor junior researchers and interns, fostering a collaborative and innovative research environment.
- Develop and refine datasets for training and evaluating NLP models.
- Present research ideas and results to both technical and non-technical audiences.
- Engage in critical evaluation of research methodologies and outcomes.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Strong publication record in leading NLP or AI conferences/journals (e.g., ACL, EMNLP, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, and experience with relevant libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Deep understanding of fundamental NLP concepts and techniques.
- Experience with large-scale data processing and distributed computing is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for effective remote teamwork.
- Ability to work independently and drive research initiatives forward.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) is beneficial.
AI Research Scientist - Natural Language Processing
Posted 4 days ago
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- Conducting fundamental and applied research in various NLP areas, including but not limited to: sentiment analysis, text classification, machine translation, question answering, summarization, and dialogue systems.
- Designing, implementing, and evaluating novel NLP models and algorithms using deep learning techniques.
- Utilizing frameworks such as PyTorch or TensorFlow to build and train sophisticated NLP models.
- Analyzing large-scale text datasets to extract insights and identify patterns.
- Collaborating with engineers to integrate research prototypes into production systems.
- Publishing research findings in top-tier academic conferences and journals.
- Keeping up-to-date with the latest advancements and trends in the NLP and AI research community.
- Presenting research results to both technical and non-technical audiences.
- Contributing to the intellectual property and patent portfolio.
- Mentoring junior researchers and contributing to a collaborative research environment.
We are seeking candidates with a Ph.D. or a Master's degree in Computer Science, Computational Linguistics, Artificial Intelligence, or a closely related field, with a strong publication record in NLP. Demonstrated expertise in deep learning for NLP, proficiency in Python, and experience with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers) are essential. The ability to work independently and collaboratively in a remote setting is key. Excellent written and verbal communication skills are required. This role is based remotely, supporting our innovative projects for the **Belfast, Northern Ireland, UK** market.
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Principal AI Researcher - Natural Language Processing
Posted 4 days ago
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Key Responsibilities:
- Lead and conduct advanced research in Natural Language Processing (NLP), including areas such as language modeling, sentiment analysis, machine translation, and text generation.
- Develop and implement novel AI algorithms and deep learning architectures for NLP tasks.
- Design and execute experiments to evaluate and benchmark AI models.
- Collaborate with engineering teams to integrate research findings into production systems and products.
- Publish research findings in top-tier AI conferences and journals.
- Stay abreast of the latest advancements in AI, machine learning, and NLP research.
- Mentor junior researchers and contribute to the team's technical vision and strategy.
- Explore and propose new research directions and grant opportunities.
- Ensure ethical considerations and responsible AI practices are integrated into research.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong focus on NLP.
- Extensive research experience and a proven track record of impactful publications in leading AI venues.
- Deep understanding of machine learning, deep learning, and statistical modeling techniques relevant to NLP.
- Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, Hugging Face Transformers.
- Experience with large-scale data processing and distributed computing.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills, with the ability to articulate complex technical concepts clearly in a remote setting.
- Demonstrated leadership potential in guiding research initiatives.
AI Research Scientist - Natural Language Processing
Posted 4 days ago
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AI Research Scientist - Natural Language Processing
Posted 4 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP).
- Develop and implement novel NLP algorithms and models.
- Apply deep learning techniques (e.g., RNNs, LSTMs, Transformers) to NLP tasks.
- Evaluate model performance and conduct rigorous experimentation.
- Collaborate with engineering teams to deploy research prototypes into production.
- Process and analyze large-scale text datasets.
- Stay current with the latest advancements in AI, machine learning, and NLP.
- Contribute to research publications and present findings at conferences.
- Mentor junior researchers and contribute to a collaborative research environment.
- PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on NLP.
- 5+ years of research experience in Natural Language Processing.
- Strong understanding of machine learning, deep learning, and statistical modeling.
- Proficiency in programming languages such as Python.
- Expertise with deep learning frameworks (TensorFlow, PyTorch).
- Experience with NLP libraries and tools (e.g., NLTK, spaCy, Hugging Face).
- Proven track record of publications in reputable AI/NLP conferences or journals.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities.