576 to 600 of 1,117 Natural Language Processing Jobs

Math, Physics or Statistics. Proficiency in programming languages like Python, Java or C++ and the ability to write efficient, clean, and maintainable code. Background in Probability, Statistics, Machine Learning, Natural Language Processing, Reinforcement Learning, Large Language Models is desirable. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients More ❯

and Drawings such as Drawing Sets, Specifications, or Shop Drawings) Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation) LLMs and Natural Language Processing Multi-modal deep learning and/or information retrieval Publication track record in machine learning conferences and/or journals Significant post-graduate research experience More ❯

speaker's emotions, leading to a new affective channel that can be explored in art. The controls available in standard Virtual Reality (VR) can be supplemented with speech recognition, natural language processing, and sentiment analysis. We aim to embody this potential in the front end of a new audiovisual interface, which would translate detected meanings of utterances More ❯

data and powered by cutting-edge technical infrastructure. You will have the opportunity to contribute to a data curation & filtering system combining the best of real-world scalable data processing systems combined with the latest insights into what training data leads to the best LLMs. Thomson Reuters Labs is known for consistently delivering successful datadriven Artificial Intelligence solutions in … Relevant degree in a technical discipline. Interest in & experience working with (applied) machine learning, e.g. few-shot learning with out-of-the-box language models, training of smaller NLP classifiers, etc. Excellent programming, debugging and system design skills. Excellent communication skills to report and present software designs and findings clearly, both orally and in writing. Curious and innovative disposition … data technologies such as Spark, Hadoop, or similar. Experience conducting world-leading research, e.g. by contributions to publications at leading ML venues. Previous experience working on large-scale data processing systems. Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries. What's in it For You? Hybrid Work Model: We More ❯

AI/ML to drive technical excellence across projects in defence, security, and advanced data analytics. You'll guide teams working on cutting-edge areas including reinforcement learning, LLMs, NLP, knowledge graphs, remote sensing, RF signal processing, and autonomy. Key Responsibilities: Lead complex AI/ML R&D projects and provide engineering assurance Mentor and support junior researchers and … You: PhD in a relevant field with 10+ years of AI/ML experience Proven track record leading technical teams and securing research funding Strong background in areas like NLP, computer vision, graph ML, or signal processing Skilled in Python and familiar with frameworks like PyTorch or TensorFlow Experience with engineering assurance and proposal writing (e.g. Dstl, EPSRC) This More ❯

thinking, technical understanding, and next-generation tooling to deliver faster, smarter product development. Requirements Key Responsibilities AI-Enhanced Requirements Definition: Use AI tools (e.g., GPT-based systems, requirements generators, natural language processing assistants) to draft, refine, and validate business requirements and user stories for the Expert platform Accelerated Documentation: Leverage AI to automate the creation of key More ❯

need for success To be successful in this role, you will be able to demonstrate: Practical and theoretical expertise in one or more AI/ML areas such as Natural Language Processing, Computer Vision, Reinforcement Learning, Agentic AI, Multimodal Models, Generative AI, Responsible AI, and Algorithmic Auditing. Knowledge of assessment techniques to evaluate AI systems for effectiveness More ❯

need for success To be successful in this role, you will be able to demonstrate: Practical and theoretical expertise in one or more AI/ML areas such as Natural Language Processing, Computer Vision, Reinforcement Learning, Agentic AI, Multimodal Models, Generative AI, Responsible AI, and Algorithmic Auditing. Knowledge of assessment techniques to evaluate AI systems for effectiveness More ❯

need for success To be successful in this role, you will be able to demonstrate: Practical and theoretical expertise in one or more AI/ML areas such as Natural Language Processing, Computer Vision, Reinforcement Learning, Agentic AI, Multimodal Models, Generative AI, Responsible AI, and Algorithmic Auditing. Knowledge of assessment techniques to evaluate AI systems for effectiveness More ❯

need for success To be successful in this role, you will be able to demonstrate: Practical and theoretical expertise in one or more AI/ML areas such as Natural Language Processing, Computer Vision, Reinforcement Learning, Agentic AI, Multimodal Models, Generative AI, Responsible AI, and Algorithmic Auditing. Knowledge of assessment techniques to evaluate AI systems for effectiveness More ❯

need for success To be successful in this role, you will be able to demonstrate: Practical and theoretical expertise in one or more AI/ML areas such as Natural Language Processing, Computer Vision, Reinforcement Learning, Agentic AI, Multimodal Models, Generative AI, Responsible AI, and Algorithmic Auditing. Knowledge of assessment techniques to evaluate AI systems for effectiveness More ❯

need for success To be successful in this role, you will be able to demonstrate: Practical and theoretical expertise in one or more AI/ML areas such as Natural Language Processing, Computer Vision, Reinforcement Learning, Agentic AI, Multimodal Models, Generative AI, Responsible AI, and Algorithmic Auditing. Knowledge of assessment techniques to evaluate AI systems for effectiveness More ❯

need for success To be successful in this role, you will be able to demonstrate: Practical and theoretical expertise in one or more AI/ML areas such as Natural Language Processing, Computer Vision, Reinforcement Learning, Agentic AI, Multimodal Models, Generative AI, Responsible AI, and Algorithmic Auditing. Knowledge of assessment techniques to evaluate AI systems for effectiveness More ❯

, sensor data fusion, RF and acoustic analytics, and more Publish findings (where appropriate) and help shape the direction of next-generation AI systems Collaborate with expert colleagues across NLP, CV, LLMs, knowledge graphs, and agent-based AI What We're Looking For A PhD (or equivalent industry experience) in a relevant discipline Strong background in AI/ML and …/or statistical signal processing applied to time-series or sequential data Proficiency in Python with experience using TensorFlow, PyTorch, scikit-learn, or similar ML frameworks Experience leading R&D projects and mentoring early-career researchers Ability to work independently or within collaborative team Reference: AMC/DRI/RS2 Postcode: CM1 1AG #dari More ❯

Title: Data Scientist Location: London, UK (3 days onsite is required) Type: Contract Technical Skills: Data mining using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analysis Good applied statistics skills, such as distributions, statistical testing, regression Ad-hoc analysis and presenting results in a clear manner Excellent understanding of machine learning … Strong understanding and exposure to common data science methods and techniques (e.g. ML, regression analysis), tools (e.g. Python, R), platforms (e.g. Azure ML, AWS SageMaker), cloud cognitive services (e.g. NLP, Vision) and container services (e.g. Docker, Kubernetes) Experience in Programming/Scripting Languages supporting data science solutions e.g. Spark SQL, SQL, Java, Python, R Data-oriented personality More ❯

Title: Data Scientist Location: London, UK (3 days onsite is required) Type: Contract Technical Skills: Data mining using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analysis Good applied statistics skills, such as distributions, statistical testing, regression Ad-hoc analysis and presenting results in a clear manner Excellent understanding of machine learning … Strong understanding and exposure to common data science methods and techniques (e.g. ML, regression analysis), tools (e.g. Python, R), platforms (e.g. Azure ML, AWS SageMaker), cloud cognitive services (e.g. NLP, Vision) and container services (e.g. Docker, Kubernetes) Experience in Programming/Scripting Languages supporting data science solutions e.g. Spark SQL, SQL, Java, Python, R Data-oriented personality More ❯

the use of agentic GenAI. As Legal AI Engineer you will: Design and implement AI models tailored to legal text and documents (e.g., contracts, case law, regulations). Apply NLP techniques to extract structured insights from unstructured legal data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and … compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses More ❯

Team You'll be part of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known for pioneering next-generation AI/ML … UK EYES ONLY) Bonus Experience (Highly Desirable): Radar, sonar, RF, or electromagnetic signal processing Electronic warfare, CEMA, or distributed sensing Space-domain awareness, autonomous systems, or edge ML NLP, knowledge graphs, generative AI or graph-based ML Academic publications, patent applications, or conference experience Why This Role? Join one of the UK's most forward-looking AI/ML More ❯

Team You'll be part of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known for pioneering next-generation AI/ML … UK EYES ONLY) Bonus Experience (Highly Desirable): Radar, sonar, RF, or electromagnetic signal processing Electronic warfare, CEMA, or distributed sensing Space-domain awareness, autonomous systems, or edge ML NLP, knowledge graphs, generative AI or graph-based ML Academic publications, patent applications, or conference experience Why This Role? Join one of the UK's most forward-looking AI/ML More ❯

Team You'll be part of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known for pioneering next-generation AI/ML … UK EYES ONLY) Bonus Experience (Highly Desirable): Radar, sonar, RF, or electromagnetic signal processing Electronic warfare, CEMA, or distributed sensing Space-domain awareness, autonomous systems, or edge ML NLP, knowledge graphs, generative AI or graph-based ML Academic publications, patent applications, or conference experience Why This Role? Join one of the UK's most forward-looking AI/ML More ❯

rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI systems. Collaborate with product managers, data scientists, developers, and … functional environment. Implement CI/CD practices, ensuring seamless and reliable model deployments. What you bring: Experience within a startup with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of cloud services (preferably AWS) and More ❯

rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI systems. Collaborate with product managers, data scientists, developers, and … functional environment. Implement CI/CD practices, ensuring seamless and reliable model deployments. What you bring: Experience within a startup with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of cloud services (preferably AWS) and More ❯

the use of agentic GenAI. As Legal AI Engineer you will: Design and implement AI models tailored to legal text and documents (e.g., contracts, case law, regulations). Apply NLP techniques to extract structured insights from unstructured legal data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and … compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses More ❯

reconstruction, creation and edition processes. Review the state of the art computer vision research papers and develop prototype solutions. Develop cutting-edge software and algorithms for computer vision, image processing and deep learning models Have technical responsibility for one or more significant sections of the assigned project Translate complex functional and technical requirements into detailed design Essential Skills Masters … on implementation of state-of-the-art models. 3-D vision Developing with machine learning frameworks – Tensorflow/Pytorch Model optimization and knowledge distillation. Strong fundamentals in machine learning, NLP and Computer Vision Publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI or similar) Experience in Android application development More ❯

research agenda, setting priorities and ensuring alignment with Faculty’s long-term goals. Conduct and oversee the development of cutting-edge AI safety research, with a focus on large language models and other safety-critical AI systems. Publish high-impact research in leading conferences and journals (e.g., NeurIPS, ACL, ICML, ICLR, AAAI). Support Faculty’s positioning as a … and commercial partners. Who we are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to … hours ago London, England, United Kingdom 1 week ago Research Scientist (Chemistry) - AI Trainer Greater London, England, United Kingdom 3 weeks ago Inkfish Research Scientist (Medical) in Large Language Models London, England, United Kingdom 11 hours ago London Area, United Kingdom $250,000.00-$1,000,000.00 1 week ago Teddington, England, United Kingdom 3 weeks ago Harlow, England, United More ❯