277 Chatbot Development 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.
AI Research Scientist - Natural Language Processing
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Key Responsibilities:
- Conduct advanced research in Natural Language Processing, including but not limited to: text classification, sentiment analysis, named entity recognition, machine translation, and dialogue systems.
- Develop and implement novel machine learning and deep learning models for NLP tasks.
- Design and execute experiments to evaluate the performance of AI models.
- Stay abreast of the latest research papers and advancements in the field of AI and NLP.
- Collaborate with other researchers and engineers to integrate research findings into practical applications.
- Write high-quality research papers for publication in top-tier conferences and journals.
- Contribute to the development of new AI products and services.
- Mentor junior researchers and provide technical guidance.
- Present research findings to both technical and non-technical audiences.
- Contribute to the company's intellectual property through patents and publications.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a specialization in NLP.
- Strong theoretical and practical understanding of machine learning and deep learning concepts, particularly as applied to NLP.
- Proficiency in programming languages commonly used in AI/ML, such as Python, and associated libraries (e.g., TensorFlow, PyTorch, Keras, spaCy, NLTK, Hugging Face Transformers).
- Proven track record of research and publication in reputable NLP venues.
- Experience with large datasets and distributed computing frameworks is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities.
This role requires a deeply analytical mind, a passion for scientific inquiry, and the ability to translate theoretical concepts into tangible AI solutions. If you are ready to make a significant contribution to the future of AI, we want to hear from you.
AI Research Scientist - Natural Language Processing
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Job Description
The ideal candidate will have a PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a strong research background in NLP. You will be responsible for conducting cutting-edge research, developing novel NLP models and algorithms, and implementing them in real-world applications. Your work will involve exploring various NLP tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
Key responsibilities include:
- Conducting in-depth research into state-of-the-art NLP techniques and algorithms.
- Designing, developing, and evaluating novel machine learning models for NLP tasks.
- Implementing and optimizing NLP models using frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
- Collaborating with engineering teams to deploy AI models into production environments.
- Publishing research findings in top-tier conferences and journals.
- Staying current with the latest advancements in AI and NLP research.
- Mentoring junior researchers and contributing to the team's intellectual property.
- Analyzing large datasets to extract insights and improve model performance.
- Developing benchmarks and evaluation methodologies for NLP systems.
- Presenting research ideas and results to both technical and non-technical audiences.
AI Research Scientist - Natural Language Processing
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Key Responsibilities:
- Conducting research into advanced NLP techniques, including transformer models, sentiment analysis, text generation, and question answering.
- Developing, training, and evaluating deep learning models for various NLP tasks.
- Implementing and optimizing NLP algorithms for real-world applications.
- Collaborating with cross-functional teams to integrate AI solutions into products and services.
- Publishing research findings in peer-reviewed conferences and journals.
- Staying current with the latest advancements in AI, machine learning, and NLP.
- Mentoring junior researchers and engineers.
Required Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven track record of research and development in NLP.
- Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Expertise in NLP libraries and tools (e.g., Hugging Face Transformers, spaCy, NLTK).
- Experience with large-scale data processing and model deployment.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills.
AI Research Scientist - Natural Language Processing
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Job Description
- Conduct research in Natural Language Processing (NLP).
- Develop and implement advanced NLP algorithms.
- Train and fine-tune machine learning models for language tasks.
- Analyze large text datasets for insights.
- Collaborate with engineering teams to deploy models.
- Stay updated on the latest AI and NLP research.
AI Research Scientist - Natural Language Processing
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As an AI Research Scientist, you will be instrumental in designing, implementing, and evaluating advanced NLP models and algorithms. You will conduct in-depth research into areas such as sentiment analysis, machine translation, question answering, and text generation. The role involves staying abreast of the latest advancements in AI and NLP, publishing research findings, and collaborating with a team of world-class researchers and engineers.
Key Responsibilities:
- Conduct state-of-the-art research in Natural Language Processing and Machine Learning.
- Develop, train, and fine-tune deep learning models for various NLP tasks.
- Design and implement novel algorithms to improve language understanding and generation.
- Evaluate model performance using rigorous scientific methodologies and metrics.
- Collaborate with software engineers to integrate research prototypes into production systems.
- Stay current with academic literature and industry trends in AI and NLP.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and engineers.
- Contribute to the overall AI strategy and roadmap of the company.
- Present research results to both technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Demonstrated expertise in Natural Language Processing and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills in Python.
- Experience with NLP libraries and toolkits (e.g., spaCy, NLTK, Hugging Face Transformers).
- Proven track record of research publications in reputable AI conferences or journals.
- Solid understanding of machine learning algorithms, statistical modeling, and data structures.
- Excellent analytical and problem-solving skills.
- Ability to work effectively in a collaborative research environment.
- Strong communication and presentation skills.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
Lead AI Engineer - Natural Language Processing
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Key Responsibilities:
- Lead the design, development, and deployment of NLP models and AI solutions.
- Manage and mentor a team of AI/ML engineers and researchers.
- Develop and optimize machine learning algorithms for various NLP tasks.
- Process and analyze large datasets of text data.
- Implement and fine-tune deep learning models using frameworks like TensorFlow or PyTorch.
- Collaborate with data scientists and software engineers to integrate AI models into products.
- Establish and maintain MLOps practices for model versioning, deployment, and monitoring.
- Stay updated with the latest advancements in AI, NLP, and machine learning research.
- Evaluate and select appropriate tools and technologies for AI development.
- Present research findings and project progress to stakeholders.
- Contribute to the company's intellectual property through innovative research.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- Minimum of 6 years of experience in AI/Machine Learning, with a strong focus on NLP.
- Proven track record of leading AI development projects.
- Expertise in programming languages such as Python.
- Proficiency with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
- Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Solid understanding of machine learning principles, algorithms, and evaluation metrics.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work effectively in a collaborative, fast-paced environment.
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AI Research Scientist - Natural Language Processing
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As an AI Research Scientist, you will be at the forefront of developing next-generation AI solutions. Your primary focus will be on advancing NLP techniques, including sentiment analysis, text generation, machine translation, and question answering systems. You will design, implement, and evaluate sophisticated machine learning models, conduct rigorous experimentation, and contribute to the publication of research findings in top-tier conferences and journals.
Responsibilities include exploring novel algorithmic approaches, optimizing model performance, and developing scalable solutions for real-world applications. You will collaborate closely with software engineers, data scientists, and product managers to translate research breakthroughs into tangible products and services. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, with a strong publication record in NLP.
Proficiency in programming languages such as Python and experience with deep learning frameworks like TensorFlow or PyTorch are essential. A solid understanding of statistical methods, data structures, and algorithms is also required. We are looking for an intellectually curious individual with exceptional problem-solving abilities, a passion for research, and the drive to push the boundaries of AI. This is an exciting opportunity to shape the future of AI and contribute to groundbreaking projects in a dynamic and supportive environment, based near Manchester, Greater Manchester, UK .
Senior AI Researcher - Natural Language Processing
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Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP).
- Develop and implement novel NLP algorithms and models.
- Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries.
- Design and execute research experiments, analyzing results rigorously.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with other researchers and engineers on AI projects.
- Mentor junior researchers and contribute to team knowledge sharing.
- Stay abreast of the latest advancements in AI and NLP research.
Qualifications:
- PhD or Master's degree in Computer Science, AI, or a related field with an NLP focus.
- Minimum of 4 years of dedicated research experience in NLP.
- Strong theoretical and practical knowledge of deep learning for NLP.
- Proficiency in Python and ML/NLP frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
- Track record of publications in reputable AI venues.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation abilities.
AI Research Scientist - Natural Language Processing
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Job Description
Your responsibilities will include conducting state-of-the-art research in NLP, developing novel algorithms and models, and implementing them using deep learning frameworks such as TensorFlow or PyTorch. You will be involved in data preprocessing, model training, evaluation, and fine-tuning. This role requires staying abreast of the latest academic research and industry trends in NLP and machine learning. You will collaborate with other researchers and engineers to translate research findings into practical applications and contribute to the development of AI-powered products. Publishing research findings in top-tier conferences and journals will be a key expectation.
The ideal candidate will hold a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong focus on NLP. A minimum of 4 years of research experience in NLP, with a proven track record of publications in leading conferences (e.g., ACL, EMNLP, NeurIPS) is essential. You should possess deep expertise in machine learning, deep learning, and NLP techniques, along with strong programming skills in Python. Experience with popular NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK) and cloud computing platforms (AWS, GCP, Azure) is highly desirable. Excellent analytical, problem-solving, and communication skills are required for effective remote collaboration and knowledge sharing. This role requires a proactive, self-driven individual passionate about pushing the boundaries of AI research.
Responsibilities:
- Conduct advanced research in Natural Language Processing (NLP).
- Develop and implement novel NLP algorithms and deep learning models.
- Preprocess, analyze, and utilize large text datasets.
- Train, evaluate, and fine-tune machine learning models.
- Stay current with NLP research and industry advancements.
- Collaborate with research and engineering teams remotely.
- Publish research findings in leading academic venues.
- Translate research into practical AI applications.
- Contribute to the development of AI products and services.
- Write high-quality code and technical documentation.
This is an exceptional opportunity for a talented AI researcher to make significant contributions to the field of NLP and shape the future of artificial intelligence, all while working remotely.