1,397 Natural Language jobs in the United Kingdom
Natural Language Processing (NLP) Engineer
Posted 9 days ago
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Job Description
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 Machine Learning Engineer - Natural Language Processing
Posted 2 days ago
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As a Lead ML Engineer, your responsibilities will encompass the entire lifecycle of NLP model development, from conceptualization and data preprocessing to deployment and ongoing optimization. Key duties include:
- Designing, building, and refining state-of-the-art NLP models for tasks such as sentiment analysis, text summarization, machine translation, and question answering.
- Leading the development of new features and enhancements for existing NLP systems, ensuring scalability and robustness.
- Architecting and implementing efficient data pipelines for training and inference of large-scale language models.
- Collaborating closely with product managers, data scientists, and software engineers to define project requirements and deliver solutions.
- Mentoring and guiding junior engineers, fostering a culture of technical excellence and knowledge sharing.
- Evaluating model performance using appropriate metrics and methodologies, and iterating based on results.
- Staying current with the latest advancements in NLP, deep learning, and associated research communities.
- Ensuring best practices in code quality, testing, and deployment for machine learning systems.
The successful candidate will hold a Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related field, coupled with at least 6 years of professional experience in machine learning engineering, with a significant focus on NLP. Essential qualifications include:
- Demonstrated expertise in NLP techniques, including transformers, RNNs, LSTMs, and attention mechanisms.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Experience with NLP libraries like Hugging Face Transformers, spaCy, or NLTK.
- Strong understanding of MLOps principles and tools for model deployment and management.
- Proven experience in leading technical projects and managing engineering teams.
- Excellent analytical and problem-solving abilities.
- Exceptional communication skills to articulate complex technical concepts effectively in a remote setting.
This is a fantastic chance to lead critical NLP initiatives, leverage cutting-edge technologies, and make a substantial contribution to a forward-thinking organization from the comfort of your home office. Join a collaborative and innovative remote-first environment where your expertise will be highly valued.
AI Research Scientist - Natural Language Processing
Posted today
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Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including but not limited to sentiment analysis, machine translation, text generation, question answering, and summarization.
- Design, develop, and implement novel NLP algorithms and models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Stay current with the latest advancements in AI, machine learning, and NLP research by reading academic papers and attending conferences.
- Experiment with large-scale datasets, perform data preprocessing, and conduct rigorous evaluation of models.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate research findings into production systems.
- Publish research findings in top-tier AI conferences and journals.
- Develop and maintain clear, concise technical documentation for research projects and implemented solutions.
- Mentor junior researchers and interns, fostering a culture of innovation and knowledge sharing.
- Contribute to the overall research strategy and roadmap of the AI division.
- Build and maintain strong relationships with the academic and research communities.
- Ensure ethical considerations and responsible AI practices are integrated into all research and development activities.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong focus on NLP.
- 5+ years of research experience in Natural Language Processing.
- Demonstrated expertise in deep learning techniques and frameworks (e.g., Transformers, RNNs, LSTMs) and their application to NLP tasks.
- Proficiency in Python and experience with relevant libraries such as Hugging Face Transformers, NLTK, spaCy, scikit-learn.
- Experience working with large text datasets and distributed computing environments.
- Proven track record of publications in leading AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
- Strong theoretical understanding of machine learning principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, comfortable presenting complex research findings to diverse audiences.
- Ability to work autonomously and collaboratively in a fully remote, international team environment.
- Experience with cloud platforms (AWS, GCP, Azure) for AI workloads is a plus.
Lead AI Engineer (Natural Language Processing)
Posted 1 day ago
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Responsibilities:
- Lead the design, development, and deployment of scalable NLP solutions for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Architect robust and efficient NLP pipelines and workflows.
- Collaborate with product managers, data scientists, and software engineers to define requirements and deliver high-impact NLP features.
- Mentor and guide a team of AI and NLP engineers, fostering technical excellence and best practices.
- Stay current with the latest research and advancements in NLP, machine learning, and deep learning, and identify opportunities for application.
- Develop and implement effective evaluation strategies for NLP models.
- Optimize NLP models for performance, scalability, and efficiency in production environments.
- Contribute to the company's intellectual property through innovative solutions and potential publications.
- Ensure the responsible and ethical development and deployment of AI systems.
- Troubleshoot and resolve complex technical issues related to NLP model performance and deployment.
Qualifications:
- Master's or PhD degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field.
- Significant professional experience (typically 7+ years) in NLP and machine learning, with proven experience in a leadership role.
- Deep understanding of NLP techniques, including transformer models (e.g., BERT, GPT), word embeddings, sequence-to-sequence models, and traditional NLP methods.
- Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK) and deep learning frameworks (e.g., PyTorch, TensorFlow).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices for deploying and managing AI models.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication, interpersonal, and leadership skills.
- Experience in managing and mentoring technical teams is essential.
This role operates on a hybrid model, requiring regular collaboration within our Edinburgh, Scotland, UK office. If you are a visionary NLP leader passionate about harnessing the power of language through AI, we invite you to apply.
AI Research Scientist - Natural Language Processing
Posted 1 day ago
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Job Description
AI Research Scientist (Natural Language Processing)
Posted 2 days ago
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Job Description
Your responsibilities will include:
- Conducting cutting-edge research in NLP, focusing on areas such as text generation, sentiment analysis, machine translation, question answering, and semantic understanding.
- Developing novel deep learning architectures and techniques for various NLP tasks.
- Implementing and fine-tuning large language models (LLMs) for specific applications.
- Designing and conducting experiments to evaluate model performance, and rigorously analyzing results.
- Collaborating with a team of world-class researchers and engineers to translate research findings into practical applications and deployable solutions.
- Staying current with the latest academic research and industry trends in AI and NLP, and actively contributing to the scientific community through publications and presentations.
- Developing robust and scalable NLP pipelines for data processing and model deployment.
- Mentoring junior researchers and contributing to the intellectual growth of the team.
- Writing technical documentation, research papers, and proposals.
- Identifying opportunities to apply AI/ML techniques to new problem domains.
- Ensuring ethical considerations and responsible AI development practices are integrated into all research activities.
- Working with massive datasets, requiring efficient data handling and processing strategies.
AI Research Scientist - Natural Language Processing
Posted 2 days ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP) and related areas of AI.
- Develop and implement novel NLP algorithms and machine learning models.
- Experiment with and fine-tune Large Language Models (LLMs) and Transformer architectures.
- Analyze research data, interpret results, and draw meaningful conclusions.
- Publish research findings in leading AI conferences and journals.
- Collaborate with software engineers to deploy research prototypes into production systems.
- Stay abreast of the latest advancements in AI, NLP, and machine learning.
- Contribute to the overall research strategy and roadmap of the team.
- Present research findings and technical concepts to both technical and non-technical audiences.
- Mentor junior researchers and interns in NLP and AI methodologies.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a focus on NLP.
- Proven track record of research and publication in top-tier NLP or AI conferences/journals.
- Strong theoretical and practical understanding of NLP techniques, including sentiment analysis, topic modeling, machine translation, and text generation.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with large language models (LLMs) and Transformer architectures.
- Familiarity with computational linguistics and linguistic theory.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Ability to work effectively both independently and collaboratively in a hybrid team setting.
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Principal AI Researcher - Natural Language Processing
Posted 2 days ago
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Key Responsibilities:
- Lead and conduct advanced research in Natural Language Processing, including areas such as sentiment analysis, text generation, machine translation, question answering, and information extraction.
- Develop and implement state-of-the-art NLP models and algorithms, utilizing deep learning frameworks (e.g., TensorFlow, PyTorch).
- Design and execute experiments to evaluate the performance of novel AI techniques.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with engineering teams to translate research prototypes into production-ready AI systems.
- Mentor junior researchers and guide them in their technical development.
- Stay abreast of the latest academic research and industry trends in AI and NLP.
- Identify new research opportunities and contribute to the strategic direction of the AI team.
- Present research proposals and results to technical and non-technical audiences.
- Contribute to the development of intellectual property through patents and publications.
- Ensure ethical considerations and responsible AI development practices are integrated into research processes.
This role is based in Leeds, West Yorkshire, UK .
AI Research Scientist - Natural Language Processing
Posted 2 days ago
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Job Description
AI Research Scientist - Natural Language Processing
Posted 2 days ago
Job Viewed
Job Description
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 .