551 to 575 of 1,108 Natural Language Processing Jobs

pre-rendering, hyper-personalization, and seamless interactivity in VR/AR worlds — making our system feel like it knows what you need before you ask. This role bridges AI, NLP, behavioural modelling, and real-time system design. Responsibilities Design, develop, and implement machine learning models and algorithms. Build predictive models to anticipate user actions (voice, gaze, gestures) and proactively trigger … content generation and pre-rendering. Implement NLP-powered systems to understand and forecast conversational user input in XR contexts. Design personalization algorithms that adapt content and UI to individual user behaviour and preferences. Collaborate with cloud engineers to integrate predictive models with rendering workflows for ultra-low-latency experiences. Continuously improve prediction accuracy using live user session data and feedback … for model training. Requirements 5+ years experience with user behaviour modelling, natural language processing, and multi-modal interaction data. Proficient in Python, TensorFlow or PyTorch, and NLP frameworks (e.g., HuggingFace Transformers). Familiarity with personalization algorithms, recommendation systems, or reinforcement learning. Experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying machine learning solutions. More ❯

understanding of Agile development, continuous delivery, and lean team dynamics. People-first leadership style with a track record of mentoring and developing high-performing teams. Exposure to machine learning, NLP, or financial data products is highly desirable. Ability to operate in ambiguity, balancing rapid execution with strategic long-term thinking. About the Company Permutable AI is a fast-growing, deep … world’s leading financial institutions - hedge funds, asset managers, investment banks, and commodity traders - with real-time insights that drive smarter, faster decision-making. Our platform leverages cutting-edge natural language processing and large language models to transform global news and unstructured data into structured, actionable intelligence across commodities, macroeconomics, currencies, and digital assets. We’re More ❯

intelligent autonomous systems. We're looking for a Lead Technologist to help guide a technically diverse AI/ML team tackling real-world, mission-critical challenges across reinforcement learning, natural language processing, computer vision, remote sensing, and signal intelligence. You’ll play a pivotal role—blending deep expertise with technical assurance, mentorship, and strategic influence. Why Join … record of leadership in R&D environments Demonstrated expertise in at least one of the following: AI/ML for imagery (incl. remote sensing) Reinforcement learning or autonomous agents NLP, LLMs, or knowledge graph technologies AI for RF/EW, radar, sonar, or acoustic domains Strong Python skills and familiarity with ML toolkits (e.g. PyTorch, TensorFlow, Scikit-learn) Experience with More ❯

The Opportunity The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application of AI across teams and … you: Strong proficiency in Python for production ready delivery. Deep understanding of the GenAI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals! Good knowledge of More ❯

the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, Machine Learning, Natural Language Processing, and Image Recognition. Description Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world’s … the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, Machine Learning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS Org. … programs that span across multiple catalog engineering teams Basic Qualifications Bachelor's or Master degree in Engineering or related field +1 Years experience in at least one modern programming language such as Python, C, C++, Java, or Perl +1 Years experience building tools for automation (building, testing, releasing or monitoring) 1+ years of DevOps or SysOps in a large More ❯

Bard, Claude, and other generative AI technologies. Understanding of automation tools like Power Automate, Zapier, or AI-enhanced workflows. AI Fundamentals and Application: Strong knowledge of machine learning concepts, NLP (Natural Language Processing), and AI applications in business settings. Familiarity with AI governance, bias in AI, ethics, and responsible AI use. Learning Management Systems (LMS) & Digital Learning More ❯

abuse vectors such as fake reviews, to aggregate and summarize insights to help customers discover, compare, and purchase products at Amazon. This role requires experience and domain knowledge in NLP and ML, together with effective communication and collaboration skills to influence across multiple partnership teams including Search, Personalization, Rufus (Amazon's Shopping AI Assistant) and Alexa. This position can be … and surface those inputs with the help of generative AI, to help customers confidently inform their next purchase (Community Feedback). BASIC QUALIFICATIONS - PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science - 10+ years of combined academic and research experience. - Strong publication record in top-tier journals and conferences. - Functional thought More ❯

the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems. Please visit … and development practices in an applied science environment - Experience with Information Retrieval, Recommender Systems and/or Personalization algorithms - Publications at top Recommender Systems, Machine Learning, and/or Natural Language Processing conferences such as KDD, ICML, NeurIPS, ACL, EMNLP - Service as a Program Committee member in top-tier conferences Amazon is committed to a diverse and More ❯

using innovative technology excite you? Opportunity To meet these challenges, the CMT team is looking for passionate, talented and innovative scientists looking to work on cutting edge technology, from Natural Language processing to optimization to image processing and LLMs. In addition to getting the opportunity to participate in research in several domains, you will lead the More ❯

some recent projects we’ve been focusing on: Building horizon scanning applications, providing novel data analytics for the whole of science and technology with graph databases, big datasets and natural language processing in AWS. Building novel simulations of distributed autonomous systems architectures using cloud infrastructure and messaging with Python, Kafka and Azure. Helping an energy customer to … maintain critical infrastructure by developing a data processing application, database and API to store 40 years of inspections data and enable data analytics and condition monitoring on this using ASP.NET, Entity Framework, Postgres and C#. Requirements The successful applicant will meet the following minimum requirements: Significant experience leading the design and deployment of complex cloud solutions to AWS At … least 1 Object-Oriented Language (Python or C# ideally) Experience with containerisation of applications An ability to discuss and present complex topics in an understandable way Consultancy skills in stakeholder management, business development and requirements elicitation Excellent interpersonal skills to enable internal and external network development It is to your advantage if you meet any of the following additional More ❯

the field of AI/ML, and work together to tackle challenging business problems across diverse compliance domains. We leverage and train state-of-the-art multi-modal, large-language-models (LLMs), and vision language models (VLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for generative AI, agentic system … or Master's degree with 2+ years of machine learning experience, or bachelor degree with 3+ years of machine learning experience - Experience programming in Python, Java, C++, or related language - Experience with neural deep learning methods, LLM, and natural language processing - Experience with conducting research in a corporate setting PREFERRED QUALIFICATIONS - Experience with large scale machine More ❯

the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, Machine Learning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS Org. … designing or architecting (design patterns, reliability and scaling) of new and existing systems. Experience in automating, deploying, and supporting large-scale infrastructure. Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby. Experience with distributed systems at scale. Experience working in an Agile environment. Experience building services using AWS products. Bachelor's More ❯

of cutting-edge AI systems across a global, high-volume interactive platform. You will define and execute the machine learning strategy across content personalization, intelligent moderation, computer vision, and natural language understanding — shaping the future of interactive digital experiences for millions of users worldwide. This is a high-impact leadership role at the intersection of personalization, real-time … wide content structuring through automated metadata generation and classification pipelines. 3. Real-Time Interactivity Enhancement Drive innovation at the intersection of real-time communication and AI-driven interactivity. Develop NLP and LLM-based systems that enrich live engagement through context-aware, multilingual, and adaptive responses. Apply CV techniques to dynamically interpret on-screen environments and enable intelligent user interaction with … of experience in applied machine learning, including 3+ years leading cross-functional AI/ML teams. Demonstrated success in deploying large-scale ML systems in areas such as personalization, NLP/LLMs, computer vision. Deep knowledge of real-time inference systems, MLOps pipelines, and distributed model training. Expertise with modern ML tooling. Strong business acumen with a proven ability to More ❯

Science and Artificial Intelligence capability. The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning and Natural Language Processing to help improve patient outcomes and care. Location: Hybrid in London (2/3 days per week) Interview Process: 4 Stages To be considered: Over More ❯

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 ❯

opportunities for data-driven improvements in safety, efficiency, and cost management. Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our Data Science ways of working … be able to break down initiatives into measurable tasks, and report progress and issues blocking progress. Work with our data teams to design and implement data collection, processing, and analysis frameworks, ensuring data integrity and accuracy. Be skilled at storytelling, be able to explain solutions to stakeholders and recommend actions to take for the business to realise value from More ❯

are currently looking for a Data Scientist(m/f/d) -AI LLM Project description: To develop an AI-powered application that automates the analysis, classification, and semantic processing of annual combined corporate reports, with a focus on compliance with regulatory standards such as IFRS and ESRS. Task (performed independently): ? Building of a scraping and text preparation module … a text consistency checking algorithm ? Integration of Named Entity Recognition (NER) with a labeling interface for additions ? Analysis of evaluation methods for the rewriting and rewording capabilities of large language models (LLMs) for editing the documents ? Creation of a user-facing interface for the above tasks ? Documentation of the results and presentation (online meeting) to client for a sign … own expertise Client provides all necessary information, access to the systems and requirements in advance. Skills: Must haves: • Experience in quantitative text analysis • Proficiency in Python programming and relevant NLP libraries (e.g., spaCy, NLTK, sbert) • Experience in developing and deploying Python code in MS Azure or Snowflake environment • English (spoken and written). Nice haves: • Experience in programming with LLM More ❯

on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the cutting edge of Generative AI, going beyond a typical … engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. We … CS, CE, ML or related field experience - 3+ years of building machine learning models or developing algorithms for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience in patents or 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 ❯

opportunities for data-driven improvements in safety, efficiency, and cost management. Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our Data Science ways of working … be able to break down initiatives into measurable tasks, and report progress and issues blocking progress. Work with our data teams to design and implement data collection, processing, and analysis frameworks, ensuring data integrity and accuracy. Be skilled at storytelling, be able to explain solutions to stakeholders and recommend actions to take for the business to realise value from More ❯

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 ❯