1,563 Nlp Research jobs in the United Kingdom

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.

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.

• Conduct cutting-edge research in Natural Language Processing.
• Develop and implement novel NLP models and algorithms.
• Experiment with deep learning frameworks and architectures.
• Analyze and interpret large datasets to extract insights.
• Collaborate with cross-functional teams on AI product development.
• Publish research findings in top-tier conferences and journals.
• Stay current with the latest advancements in AI and NLP.
• Contribute to the development of intellectual property.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
• Demonstrated experience in NLP research and development (3+ years preferred).
• Strong understanding of machine learning, deep learning, and statistical modeling.
• Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Proven track record of research contributions (publications, patents).
• Excellent analytical, problem-solving, and communication skills.

• Lead the research, development, and implementation of advanced NLP models and algorithms.
• Design and build scalable AI/ML pipelines for data processing and model training.
• Evaluate and fine-tune NLP models for optimal performance and accuracy.
• Collaborate with cross-functional teams to integrate AI solutions into products.
• Stay updated with the latest NLP research and implement state-of-the-art techniques.
• Mentor and guide junior AI engineers.
• Contribute to the strategic direction of the AI and Emerging Technologies division.

• MSc or PhD in Computer Science, AI, Machine Learning, Computational Linguistics, or a related quantitative field.
• 5+ years of hands-on experience in NLP and Machine Learning.
• Proven experience with deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., Hugging Face Transformers).
• Expertise in at least one major cloud platform (AWS, Azure, GCP).
• Strong programming skills in Python.
• Demonstrated ability to lead technical projects and mentor teams.
• Excellent communication and collaboration skills, suitable for a remote work environment.

• Designing, developing, and implementing state-of-the-art NLP models and algorithms.
• Building robust pipelines for text pre-processing, feature extraction, and model training.
• Integrating NLP capabilities into existing and new software products and platforms.
• Collaborating with data scientists, software engineers, and product managers to define NLP requirements and solutions.
• Evaluating and fine-tuning NLP models for optimal performance, accuracy, and efficiency.
• Staying current with the latest advancements in NLP, deep learning, and related fields.
• Conducting experiments, analyzing results, and presenting findings to technical and business stakeholders.
• Contributing to the development of reusable NLP libraries and best practices.
• Mentoring junior engineers and promoting knowledge sharing within the AI team.
• Ensuring NLP solutions are scalable, maintainable, and deployed effectively into production environments.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related field with a strong NLP focus.
• Minimum of 5 years of hands-on experience in developing and deploying NLP models.
• Proficiency in Python and common NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers, Gensim).
• Strong experience with deep learning frameworks such as TensorFlow or PyTorch.
• Solid understanding of NLP concepts, including tokenization, embeddings, sequence modeling, and transformer architectures.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts clearly.
• Proven ability to work effectively in a team environment and manage project tasks independently.
• Experience with large language models (LLMs) and prompt engineering is a significant advantage.

• Conduct theoretical and applied research in Natural Language Processing, including areas such as sentiment analysis, machine translation, text generation, and question answering.
• Develop, train, and evaluate advanced NLP models and algorithms using deep learning frameworks (e.g., TensorFlow, PyTorch).
• Design and implement novel approaches to solve complex language understanding and generation problems.
• Process and analyse large datasets of text and speech data.
• Collaborate with other AI researchers, engineers, and product managers to integrate research findings into practical applications.
• Publish research findings in leading AI conferences and journals.
• Stay abreast of the latest advancements and trends in the field of NLP and machine learning.
• Contribute to the development of intellectual property and patent applications.
• Mentor junior researchers and interns, fostering a culture of innovation.
• Present research findings and project updates to technical and non-technical audiences.
• Ensure ethical considerations and responsible AI development practices are followed.

• 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 and development in Natural Language Processing, evidenced by publications or significant project contributions.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages like Python, and experience with relevant libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
• Strong understanding of machine learning fundamentals, statistical modelling, and data analysis techniques.
• Experience with large language models (LLMs) and transformer architectures is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities, with the capacity to articulate complex technical concepts clearly.
• Ability to work independently and lead research initiatives.

• Conduct original research in NLP, focusing on areas such as language modeling, machine translation, sentiment analysis, question answering, and text summarization.
• Design, implement, and evaluate novel NLP algorithms and models using state-of-the-art deep learning techniques.
• Develop and maintain large-scale NLP datasets and benchmarks for training and evaluating models.
• Collaborate with software 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 AI/NLP conferences and journals.
• Present research results to technical and non-technical audiences.
• Contribute to the overall AI strategy and roadmap of the company.
• Mentor junior researchers and interns.
• Analyze and interpret experimental results to guide future research directions.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related field, with a strong focus on NLP.
• Proven track record of research contributions in NLP, demonstrated through publications and/or significant open-source contributions.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages commonly used in AI research, such as Python.
• Strong understanding of NLP concepts, algorithms, and techniques (e.g., transformers, RNNs, LSTMs, word embeddings).
• Experience with large language models (LLMs) is highly desirable.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, with the ability to work effectively in a research team.
• Experience with distributed computing and big data technologies is a plus.
• A passion for pushing the frontiers of artificial intelligence.

• Conduct innovative research in Natural Language Processing, focusing on areas such as large language models, text generation, sentiment analysis, machine translation, and information extraction.
• Develop and implement novel machine learning algorithms and deep learning architectures for NLP tasks.
• Design and execute experiments to evaluate the performance of AI models and algorithms.
• Analyze large-scale text datasets, identify patterns, and extract meaningful insights.
• Collaborate with other researchers and engineers to integrate research prototypes into production systems.
• Stay abreast of the latest advancements in AI, machine learning, and NLP through continuous learning and participation in the research community.
• Publish research findings in leading AI/ML conferences and journals (e.g., NeurIPS, ICML, ACL, EMNLP).
• Mentor junior researchers and contribute to the overall scientific direction of the team.
• Write clear and concise technical documentation and reports.

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong specialization in NLP.
• Proven track record of high-quality research in NLP, demonstrated by publications in top-tier conferences/journals.
• Deep understanding of machine learning fundamentals, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques.
• Proficiency in programming languages such as Python, along with relevant libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
• Experience working with large datasets and distributed computing environments.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and collaboration skills, with the ability to explain complex concepts to diverse audiences.
• Ability to work independently and as part of a remote, globally distributed team.

• Conduct cutting-edge research in NLP, including areas such as text generation, sentiment analysis, machine translation, question answering, and summarization.
• Develop and implement state-of-the-art NLP models using deep learning frameworks (e.g., TensorFlow, PyTorch).
• Design and execute experiments to evaluate model performance and identify areas for improvement.
• Collaborate with engineers to deploy research prototypes into production environments.
• Analyze large-scale text datasets to extract insights and inform model development.
• Stay current with the latest advancements in AI and NLP research through literature reviews and conference participation.
• Publish research findings in leading academic journals and conferences.
• Contribute to the development of open-source NLP tools and libraries.
• Present research results to internal teams and external stakeholders.
• Mentor junior researchers and contribute to the team's intellectual capital.
• Explore novel applications of NLP for various industries.
• Ensure the ethical considerations of AI are integrated into research and development processes.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
• Demonstrated research experience in Natural Language Processing with a strong publication record.
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of machine learning algorithms, statistical modeling, and deep learning architectures relevant to NLP (e.g., Transformers, RNNs, LSTMs).
• Experience with NLP libraries like Hugging Face Transformers, spaCy, or NLTK.
• Ability to work independently and collaboratively in a remote, fast-paced research environment.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Experience with distributed computing frameworks (e.g., Spark) is a plus.
• Familiarity with large language models (LLMs) and their applications.

• Lead and mentor a research team focused on advancing the state-of-the-art in Natural Language Processing.
• Define and execute a research roadmap for NLP initiatives, aligning with company strategic objectives.
• Conduct fundamental and applied research in areas such as language modeling, text generation, sentiment analysis, machine translation, and question answering.
• Develop novel algorithms and techniques to address complex NLP challenges.
• Design, implement, and evaluate sophisticated NLP models using deep learning frameworks.
• Collaborate with product teams to integrate research breakthroughs into scalable AI-powered products.
• Publish research findings in top-tier AI conferences and journals.
• Stay abreast of the latest advancements in AI, machine learning, and NLP.
• Contribute to the intellectual property portfolio of the company through patents and innovative solutions.
• Foster a collaborative and intellectually stimulating research environment.

• PhD in Computer Science, Artificial Intelligence, Linguistics, or a related field with a specialization in NLP.
• Minimum of 7 years of post-doctoral research experience in NLP, with a significant portion in a leadership or senior research role.
• Proven track record of impactful research, evidenced by publications in top-tier venues (e.g., ACL, EMNLP, NeurIPS).
• Deep theoretical and practical expertise in areas of NLP, including transformer architectures, large language models (LLMs), and semantic understanding.
• Proficiency in programming languages such as Python and associated ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
• Experience leading research projects and managing research teams.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to articulate complex research to diverse audiences.
• Demonstrated ability to work effectively in a fully remote research environment.