1,866 Natural Language jobs in the United Kingdom
Natural Language Processing (NLP) Engineer
Posted 2 days ago
Job Viewed
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 AI Engineer - Natural Language Processing
Posted 1 day ago
Job Viewed
Job Description
- Leading the design, development, and implementation of cutting-edge NLP models and algorithms (e.g., sentiment analysis, text summarization, machine translation, chatbots).
- Architecting scalable and efficient NLP pipelines for data processing, model training, and deployment.
- Managing and mentoring a team of AI engineers and data scientists, fostering technical excellence and innovation.
- Defining the technical strategy and roadmap for NLP research and product development.
- Collaborating closely with product management, software engineering, and other stakeholders to translate business requirements into AI solutions.
- Conducting rigorous experimentation, evaluating model performance, and optimizing solutions for production environments.
- Staying abreast of the latest advancements in NLP research, ML techniques, and relevant technologies.
- Contributing to the company's intellectual property through publications and patents.
- Ensuring the ethical and responsible development and deployment of AI systems.
- Overseeing the integration of NLP capabilities into existing and new product offerings.
- Troubleshooting and resolving complex technical challenges in NLP systems.
AI Research Scientist - Natural Language Processing
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct advanced research in Natural Language Processing and related fields.
- Design, develop, and implement novel NLP models and algorithms using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experiment with various NLP tasks, including but not limited to: text classification, named entity recognition, sentiment analysis, topic modeling, summarization, and machine translation.
- Process and analyze large volumes of unstructured text data.
- Collaborate with engineers to integrate research models into production systems.
- Stay current with the latest advancements in AI, NLP, and machine learning through literature review and conference attendance.
- Publish research findings in top-tier academic conferences and journals.
- Develop and maintain robust codebases for research experiments and prototypes.
- Contribute to the intellectual property portfolio of the company through patents and innovations.
- Present research findings to both technical and non-technical audiences.
- Mentor junior researchers and contribute to a culture of scientific inquiry and excellence.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a focus on NLP.
- Proven track record of impactful research in NLP, demonstrated through publications, open-source contributions, or patents.
- Strong theoretical understanding and practical experience with deep learning architectures (e.g., Transformers, LSTMs, CNNs) and NLP techniques.
- Proficiency in programming languages such as Python, and experience with ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK, scikit-learn).
- Experience with cloud computing platforms (AWS, Azure, GCP) and distributed training is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to conduct independent research and manage projects effectively in a remote setting.
- Strong written and verbal communication skills, with the ability to articulate complex ideas clearly.
AI Research Scientist - Natural Language Processing
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct advanced research in Natural Language Processing and related AI fields.
- Develop novel algorithms and models for tasks such as text classification, sentiment analysis, machine translation, and question answering.
- Implement and fine-tune deep learning models using frameworks like TensorFlow or PyTorch.
- Process and analyze large volumes of text data for model training and evaluation.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Stay abreast of the latest advancements in AI, ML, and NLP research.
- Publish research findings in top-tier conferences and journals.
- Contribute to the development of intellectual property through patents.
- Mentor junior researchers and contribute to the team's scientific growth.
- Present research results to both technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Proven track record of research in Natural Language Processing, with publications in leading conferences (e.g., ACL, EMNLP, NAACL).
- Strong theoretical understanding of machine learning, deep learning, and NLP techniques.
- Proficiency in Python and experience with ML/DL frameworks (TensorFlow, PyTorch, Keras).
- Experience with large-scale data processing and distributed computing.
- Ability to design, implement, and evaluate complex AI models.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and as part of a research team.
Lead AI Engineer - Natural Language Processing
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the end-to-end development and implementation of NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and text generation.
- Design and architect scalable and efficient NLP pipelines for data preprocessing, feature engineering, model training, and deployment.
- Stay abreast of the latest research and advancements in NLP, deep learning, and artificial intelligence, and apply them to solve challenging business problems.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define project requirements and deliver impactful AI solutions.
- Mentor and guide junior AI engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Develop and maintain high-quality, production-ready code for NLP models and associated infrastructure.
- Evaluate and select appropriate NLP libraries, frameworks, and tools (e.g., TensorFlow, PyTorch, Hugging Face Transformers, spaCy).
- Optimize NLP models for performance, scalability, and resource efficiency.
- Contribute to the company's intellectual property through patents and publications.
- Present technical findings and project progress to both technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Minimum of 6 years of experience in AI/ML engineering, with a strong specialization in Natural Language Processing.
- Proven track record of developing and deploying advanced NLP models in production environments.
- Deep understanding of NLP concepts, algorithms, and state-of-the-art techniques (e.g., transformers, RNNs, LSTMs, word embeddings).
- Proficiency in programming languages such as Python, and experience with relevant ML/NLP libraries and frameworks.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Strong understanding of data structures, algorithms, and software engineering principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership, communication, and interpersonal skills, with the ability to mentor and lead a team.
- Experience with large-scale data processing and distributed computing is a plus.
Senior AI Engineer - Natural Language Processing
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Develop and implement state-of-the-art NLP models and algorithms.
- Design and build scalable AI systems for text and speech processing.
- Conduct research into new NLP techniques and methodologies.
- Preprocess and analyze large volumes of textual data.
- Train, fine-tune, and evaluate machine learning models.
- Collaborate with software engineers to integrate AI models into production systems.
- Work closely with product managers and stakeholders to understand requirements and define project scope.
- Stay abreast of the latest advancements in AI, machine learning, and NLP.
- Mentor junior AI engineers and contribute to knowledge sharing within the team.
- Document research, development processes, and model performance.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying NLP models.
- Strong proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face).
- In-depth knowledge of NLP techniques such as tokenization, embeddings, recurrent neural networks (RNNs), transformers, and attention mechanisms.
- Experience with data preprocessing, feature engineering, and model evaluation for NLP tasks.
- Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and teamwork abilities.
- Ability to work effectively in an office-based, collaborative setting.
- Proven track record of delivering AI-powered features or products.
AI Research Scientist - Natural Language Processing
Posted 3 days ago
Job Viewed
Job Description
Responsibilities include designing and implementing state-of-the-art NLP models, conducting rigorous experimentation and evaluation, and staying abreast of the latest advancements in the field. You will collaborate with a team of world-class researchers and engineers, publishing your findings in leading academic conferences and journals. The ideal candidate will possess a deep theoretical understanding of machine learning and deep learning techniques, with a strong emphasis on NLP. Experience with large-scale datasets and distributed computing frameworks is essential. You will be expected to contribute to the intellectual property of the institute through patents and publications. This role demands a proactive approach to research, a passion for solving complex problems, and the ability to work independently and as part of a global research community. The ability to translate complex research concepts into practical applications is highly valued.
Qualifications:
- PhD in Computer Science, Artificial Intelligence, or a related field with a specialization in NLP.
- Proven track record of research contributions in NLP (publications, patents).
- Strong programming skills in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with NLP libraries and tools (e.g., Hugging Face, NLTK, SpaCy).
- Proficiency in statistical analysis and data modeling.
- Excellent problem-solving and analytical skills.
- Ability to work effectively in a collaborative research environment.
- Strong communication and presentation skills.
Be The First To Know
About the latest Natural language Jobs in United Kingdom !
Principal AI Researcher - Natural Language Processing
Posted 4 days ago
Job Viewed
Job Description
AI Research Scientist - Natural Language Processing
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct advanced research and development in NLP, exploring novel algorithms and techniques.
- Design, implement, and evaluate machine learning models for various NLP tasks.
- Develop and refine models for language understanding, generation, translation, and summarization.
- Collaborate with a team of researchers and engineers to translate research findings into practical applications and product features.
- Stay current with the latest advancements in AI, machine learning, and NLP research, publishing findings where appropriate.
- Experiment with and integrate state-of-the-art NLP models and frameworks (e.g., Transformers, BERT, GPT).
- Process, clean, and prepare large datasets for model training and evaluation.
- Develop and maintain robust, scalable, and efficient AI/ML pipelines.
- Contribute to the company's intellectual property portfolio through patents and publications.
- Present research findings and project progress to technical and non-technical audiences.
- Mentor junior researchers and contribute to a culture of scientific excellence.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Demonstrated research experience in Natural Language Processing (NLP) with a strong publication record in top-tier conferences/journals.
- Proficiency in programming languages such as Python, and expertise in deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Experience with NLP libraries and toolkits (e.g., spaCy, NLTK, Hugging Face Transformers).
- Solid understanding of machine learning principles, deep learning architectures, and statistical modeling.
- Experience in handling and processing large text datasets.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Familiarity with MLOps principles and practices is desirable.
AI Research Scientist - Natural Language Processing
Posted 6 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct research and development in advanced Natural Language Processing techniques, including but not limited to text generation, sentiment analysis, machine translation, information extraction, and question answering.
- Design, implement, and evaluate novel algorithms and machine learning models for NLP tasks.
- Stay abreast of the latest research papers, conferences, and advancements in AI and NLP.
- Collaborate with other researchers and engineers to integrate NLP capabilities into innovative products and platforms.
- Develop and maintain high-quality, well-documented code for research prototypes and production systems.
- Analyze large datasets to extract insights and improve model performance.
- Publish research findings in top-tier scientific journals and present work at relevant conferences.
- Contribute to the intellectual property and strategic direction of the AI research group.
- Mentor junior researchers and engineers, fostering a collaborative and innovative research environment.
- Ensure ethical considerations and bias mitigation are central to all research and development efforts.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field, with a specialization in NLP.
- Proven track record of significant contributions to NLP research, demonstrated through publications in leading conferences (e.g., ACL, EMNLP, NeurIPS) or patents.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python, with experience in relevant libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- Solid understanding of machine learning, statistical modeling, and data science principles.
- Experience with large-scale data processing and distributed computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for effective remote teamwork.
- This is a fully remote position, allowing you to work from the comfort of your home.