16 Natural Language Processing jobs in the United Kingdom
Natural Language Processing (NLP) Engineer
Posted 25 days ago
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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.
AI Research Scientist - Natural Language Processing
Posted today
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Key responsibilities include designing, developing, and evaluating novel NLP algorithms and models, utilising techniques such as deep learning, transformers, and recurrent neural networks. You will conduct rigorous scientific research, analyse complex datasets, and contribute to the publication of research findings in top-tier conferences and journals. Collaboration with cross-functional teams, including software engineers and product managers, will be essential to translate research breakthroughs into practical applications. The ideal candidate will possess a deep understanding of machine learning principles, a passion for scientific inquiry, and the ability to articulate complex technical concepts clearly. You will contribute to shaping the company's AI strategy and future research directions, working with state-of-the-art computational resources and large-scale datasets. This position requires a forward-thinking individual capable of independent research and creative problem-solving.
Qualifications:
- A PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Demonstrable experience in NLP research, with a strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ACL).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python, with libraries relevant to machine learning and NLP (e.g., Hugging Face Transformers, spaCy, NLTK).
- Strong mathematical and statistical background.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work effectively in a collaborative research environment.
AI Research Scientist - Natural Language Processing
Posted today
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Key Responsibilities:
- Conduct fundamental and applied research in Natural Language Processing (NLP) and Machine Learning (ML).
- Develop, train, and evaluate novel NLP models and algorithms (e.g., Transformers, BERT, GPT variants).
- Implement NLP techniques for tasks such as text classification, named entity recognition, machine translation, question answering, and summarization.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest research papers and advancements in NLP and AI.
- Design and execute experiments to test hypotheses and validate model performance.
- Contribute to the publication of research findings in top-tier conferences and journals.
- Develop and maintain code repositories, ensuring code quality and documentation.
- Analyze large datasets to identify patterns and extract insights relevant to NLP research.
- Mentor junior researchers and interns, providing technical guidance.
- Participate in research strategy discussions and contribute to the roadmap for AI development.
- Ensure ethical considerations and responsible AI practices are integrated into research.
Qualifications and Experience:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Proven track record of research in NLP, demonstrated through publications, patents, or significant open-source contributions.
- Strong theoretical understanding of deep learning architectures and algorithms relevant to NLP.
- Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Hands-on experience with NLP libraries and toolkits (e.g., Hugging Face Transformers, spaCy, NLTK).
- Experience with data preprocessing, feature engineering, and model evaluation techniques for NLP tasks.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts clearly.
- Ability to work independently and collaboratively in a remote research environment.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Familiarity with large language models (LLMs) and their applications.
This role offers a highly competitive salary, comprehensive benefits, and the chance to work on transformative AI technologies from Liverpool, Merseyside, UK .
Lead AI Engineer - Natural Language Processing
Posted today
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Key responsibilities include:
- Designing, developing, and deploying advanced NLP models and algorithms (e.g., sentiment analysis, topic modeling, machine translation, chatbots).
- Leading a team of AI engineers, providing technical guidance, mentorship, and performance feedback.
- Collaborating with product managers and data scientists to define AI product roadmaps and features.
- Conducting research into new NLP techniques and technologies to enhance existing solutions.
- Managing the end-to-end lifecycle of NLP projects, from data collection and preprocessing to model training, evaluation, and deployment.
- Ensuring the scalability, reliability, and efficiency of AI systems in production.
- Writing high-quality, production-ready code in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, spaCy, Hugging Face).
- Developing and implementing robust evaluation metrics for NLP models.
- Staying current with the latest research papers and advancements in AI and NLP.
- Troubleshooting and optimizing AI models and infrastructure.
- Communicating complex technical concepts to both technical and non-technical stakeholders.
- Contributing to the company's intellectual property through innovation and patents.
- Driving best practices in MLOps and AI development.
- Ensuring data privacy and security in all AI implementations.
- Fostering a collaborative and innovative team environment.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field, with at least 6 years of experience in AI/ML engineering, specifically focused on NLP. Proven experience leading engineering teams and managing complex AI projects is essential. Deep understanding of machine learning algorithms, deep learning frameworks, and NLP techniques is required. Excellent programming skills in Python and experience with cloud platforms (AWS, Azure, GCP) are highly desirable. Strong analytical, problem-solving, and communication skills are paramount. This is an exceptional opportunity to lead significant AI initiatives in a remote capacity.
AI Research Scientist - Natural Language Processing
Posted today
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As an AI Research Scientist, your responsibilities will include exploring and experimenting with state-of-the-art NLP techniques, such as transformers, recurrent neural networks (RNNs), and convolutional neural networks (CNNs), for tasks like text classification, sentiment analysis, machine translation, and question answering. You will be involved in the entire research lifecycle, from formulating hypotheses and designing experiments to collecting and preprocessing large datasets, training models, and analysing results. Strong programming skills in Python and experience with deep learning frameworks like TensorFlow or PyTorch are essential. Familiarity with NLP libraries such as Hugging Face Transformers, spaCy, or NLTK is also required.
You will collaborate with other AI researchers, data scientists, and software engineers to integrate AI models into production systems. This role demands a proactive approach to identifying new research opportunities and staying abreast of the latest advancements in the AI and NLP fields. A PhD or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record, is highly desirable. The ideal candidate possesses excellent analytical and critical thinking skills, along with the ability to communicate complex technical concepts clearly and concisely to both technical and non-technical audiences. If you are passionate about pushing the boundaries of AI and want to work in a collaborative, remote environment, we invite you to apply.
Lead AI Research Scientist - Natural Language Processing
Posted today
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Senior AI Research Scientist - Natural Language Processing
Posted today
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Senior AI Research Scientist - Natural Language Processing
Posted today
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Key Responsibilities:
- Conducting fundamental and applied research in Natural Language Processing, including areas such as machine translation, sentiment analysis, text generation, and question answering.
- Designing, developing, and implementing advanced machine learning models and deep learning architectures for NLP tasks.
- Staying abreast of the latest research papers, techniques, and tools in the AI and NLP community.
- Collaborating with cross-functional teams of engineers, product managers, and other researchers to translate research breakthroughs into practical applications.
- Publishing research findings in top-tier AI conferences and journals.
- Mentoring junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
- Developing and evaluating NLP models, ensuring robustness, scalability, and performance.
- Contributing to the intellectual property portfolio through patents and publications.
- Experimenting with different AI frameworks and platforms to optimize model development and deployment.
- Identifying and exploring new research avenues and potential applications for NLP technologies.
- Presenting research findings to both technical and non-technical audiences.
- Ensuring ethical considerations and bias mitigation are integrated into AI development processes.
Remote AI Research Scientist - Natural Language Processing
Posted today
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Job Description
Key responsibilities include designing, implementing, and evaluating novel NLP algorithms and models, focusing on areas such as sentiment analysis, machine translation, text summarization, and conversational AI. You will work with large-scale datasets, developing data preprocessing pipelines and feature engineering techniques. Experimenting with deep learning frameworks like TensorFlow or PyTorch to build and train advanced neural networks is integral to this role. You will stay abreast of the latest advancements in NLP and machine learning research, identifying opportunities to apply new techniques to solve complex problems. Collaborating with software engineers to integrate research prototypes into production systems will be essential. You will also be responsible for presenting research findings at conferences and publishing in peer-reviewed journals. Contributing to grant proposals and securing research funding will be part of your remit. The role involves mentoring junior researchers and interns, fostering a culture of innovation and scientific rigor.
The ideal candidate will possess a PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong specialization in NLP. Proven experience in conducting research and developing state-of-the-art NLP models is required. Demonstrable expertise in programming languages like Python and experience with relevant libraries (e.g., NLTK, SpaCy, Hugging Face Transformers) are essential. A deep understanding of machine learning algorithms, deep learning architectures (e.g., Transformers, LSTMs, CNNs), and statistical modeling is a must. You should have experience working with large datasets and cloud computing platforms (AWS, Azure, GCP). Excellent analytical and problem-solving skills, coupled with strong mathematical and statistical foundations, are necessary. Outstanding communication and presentation skills are vital for disseminating research findings effectively. You must be highly motivated, a self-starter, and capable of working independently in a remote environment while collaborating effectively with a global team.
Senior AI Research Scientist - Natural Language Processing
Posted today
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Job Description
Key Responsibilities:
- Conduct advanced research in Natural Language Processing (NLP), Machine Learning, and Deep Learning.
- Develop and implement novel algorithms and models for NLP tasks such as text classification, sentiment analysis, machine translation, and question answering.
- Design and execute experiments to evaluate model performance and identify areas for improvement.
- Stay abreast of the latest advancements in AI and NLP research through literature review and conference participation.
- Collaborate with cross-functional teams to integrate AI models into product features and solutions.
- Contribute to the development of scalable and efficient AI systems.
- Write high-quality research papers for publication in top-tier conferences and journals.
- Mentor junior researchers and engineers, sharing knowledge and expertise.
- Develop prototypes and proof-of-concepts to demonstrate the feasibility of new AI approaches.
- Engage in peer review of research proposals and publications.
- Contribute to the overall AI strategy and roadmap of the company.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field.
- 5+ years of research experience in NLP, with a strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in Python and relevant NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Deep understanding of state-of-the-art NLP models and techniques, including transformers and large language models (LLMs).
- Experience with data processing, feature engineering, and model evaluation.
- Strong programming skills and experience with software development best practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote team environment.
- Strong communication and presentation skills.