76 to 100 of 482 Natural Language Processing Jobs

Responsibilities Responsible for NLP research and development including LLM reasoning, conversational agents, machine translation, part-of-speech tagging, sentence analysis and named entity recognition. Optimize existing online algorithms, develop efficient and reliable NLP solutions by combining business needs and data. Explore applications of NLP techniques and deep learning algorithms … games. Follow the latest developments in academia and industry and quickly apply findings in your work. Qualifications Familiar with NLP fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on NLP related projects. Proficient in at least one programming language, familiar with basic ...

frameworks such as LangChain, LangGraph, Auto-GPT Deep knowledge and experience in machine learning and artificial intelligence Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis Knowledge ...

frameworks such as LangChain, LangGraph, Auto-GPT Deep knowledge and experience in machine learning and artificial intelligence Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis Knowledge ...

Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX; Strong foundation in machine learning, deep learning architectures, and natural language processing, particularly large language models; Experience with cloud platforms such as AWS, GCP, or Azure and MLOps tools for managing ...

software engineering related discipline. Experience of modern web application technologies (such as React, NodeJS, ASP.NET). Knowledge of AI techniques such as machine learning, natural language processing and large language models. Must be legally entitled to work in Northern Ireland/UK and travel through ...

experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing ...

test Model Context Protocol (MCP) servers enabling Natural Language Querying (NLQ) and Natural Language Generation (NLG). Support experimentation with NLP and LLM‐driven enrichment alongside analysts and researchers. This is a place where AI meets real‐world intelligence, and you’ll be helping build that … roadmap for team and capability growth Key Skills and Experience Strong hands‐on experience with GCP, Neo4j, Python, and Postgres. Familiarity with AI/NLP/LLM integration and data visualisation tools such as Tableau. Ability to design and maintain complex data pipelines across structured and unstructured sources. Confident working ...

personal style, preferences and current fashion trends. As part of the Search & Discovery organisation, we bring together recommendation systems, personalisation, deep learning and large language model (LLM) technologies to create new ways for customers to explore fashion beyond traditional ecommerce experiences. As a Principal Machine Learning Engineer … infrastructure and large datasets. Technical expertise Deep expertise in two or more of the following areas: ranking and relevance, recommendation systems, deep learning, large language models, information retrieval, natural language processing or content understanding. Advanced hands-on experience with frameworks such as PyTorch, TensorFlow or similar ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine … leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in LLMs, NLP and Machine Learning/AI Excellent academics throughout including ...

This role combines strong foundations in data management, statistical modeling, machine learning, and computational social science with emerging capabilities in generative AI and large language models (LLMs). The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data, text data … experts to design, develop, evaluate, and deploy AI-enabled applications that support research and operational objectives. Fine-tune, adapt, or customize machine learning and language models for domain-specific tasks. Build and evaluate retrieval-augmented generation (RAG) solutions using vector databases and semantic search techniques for data and analysis ...

role could involve working across a broad range of technologies and engineering disciplines, including: Artificial Intelligence and machine learning AI systems engineering and integration Natural Language Processing Computer vision and image processing Quantum technologies C++ and Python development Modern web technologies Cloud-native engineering Distributed systems ...

fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch … streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands‐on experience in implementing distributed/multi‐threaded/scalable applications Track record of developing, deploying business critical machine learning models #J-18808-Ljbffr ...

fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well‐researched interest in NLP Broad knowledge of MLOps tooling â for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch … streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands‐on experience in implementing distributed/multi‐threaded/scalable applications Track record of developing, deploying business critical machine learning models #CIBAppliedAI ABOUT ...

fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well‐researched interest in NLP Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with PyTorch … streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands‐on experience in implementing distributed/multi‐threaded/scalable applications Track record of developing, deploying business‐critical machine learning models #J-18808-Ljbffr ...

/ML frameworks—TensorFlow, PyTorch, Scikit‐Learn, Transformers—cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence: Proven experience building production‐scale AI systems with focus on performance, reliability, and maintainability. ...

date and time: 24-September-2026 12:44 Postdoctoral Researcher in Large Language Model Development Humanities Divisional Office, Stephen A. Schwarzman Centre for the Humanities, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG Contract Fixed term for 12 months About the role The postholder is expected primarily to deliver … University's own computing infrastructure; and, working with subject specialists and curators, designing and validating the first dedicated benchmark suite for evaluating language models on humanities research tasks. You will also be expected to publish the model weights, code, corpus documentation and benchmarks as fully open-source resources ...

knowledge of designing and implementing Data Science solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming language for data science (Python, R, etc.) Including best practices using this language to write robust software. An Awareness of data governance and best practices … bachelor’s degree in a STEM field. Desirable skills and experience Experience working in a professional services/consultancy environment preferred. Experience solving natural language processing problems. Experience creating generative AI applications, such as chatbots or RAG retrieval systems. Understanding of general computer science concepts (test‐driven ...

data management, statistical modeling, machine learning, and computational social science. The position also provides opportunities to apply emerging technologies, including generative AI and large language models (LLMs), to research problems. The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data … operational objectives. Design and implement data products, dashboards, applications, and automated tools that enable data-driven decision making. Apply machine learning, AI, and natural language processing methods and collaborate with multidisciplinary teams to design, evaluate, and deploy AI-enabled analytic applications. Write and implement R, and Python ...

maintainable, production‐ready and can be readily adapted to future developments. Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM‐based solutions, and agentic solutions to balance trade‐offs between speed, cost, complexity, interpretability, and performance. Collaborate closely with product, design, and other … frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine‐tuning. Strong software engineering foundations such as version control, unit ...

maintainable, production‐ready and can be readily adapted to future developments. Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM‐based solutions, and agentic solutions to balance trade‐offs between speed, cost, complexity, interpretability, and performance. Collaborate closely with product, design, and other … frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine‐tuning. Strong software engineering foundations such as version control, unit ...

tools such as calendars, task managers, and communication apps. Create architectural blueprints for new AI features and services, considering factors such as data flow, processing requirements, and user experience. Establish best practices, coding standards, and architectural guidelines for the development team. Evaluate and recommend new technologies, frameworks, and tools …/ML systems). Proven track record of designing and implementing large‐scale, distributed AI systems. Deep understanding of AI and machine learning (natural language processing, computer vision, predictive modeling). Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML offerings. Strong ...

Knowledge Proven experience in data science and data analysis. Good understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis. Knowledge of data platforms and data processing, including batch and real‐time automation. ...

sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming languages for data science (Python, R, etc.) including best practices using this language to write robust software. An understanding of data governance and best practices to ensure data protection. Experience planning technical activities and structuring work … bachelor’s degree in a STEM field. Desirable skills and experience Experience working in a professional services/consultancy environment preferred. Experience solving natural language processing problems. Experience creating generative AI applications, such as chatbots or RAG retrieval systems. Stay up to date with cutting edge ...

solutions using modern web technologies and microservices architectures. Develop AI-driven solutions to discover, classify, and protect sensitive information within unstructured data, leveraging advanced natural language processing and automated data masking techniques Design and build automations and tooling to enable firmwide data engineering and application development teams … helping them optimize data processing based on their specific database platforms and user needs. Contribute to strategic initiatives around system modernization, platform standardization, observability, and cost efficiency. Design, develop, and maintain innovative scalable solutions to optimize complex data pipelines, including ETL processes. Develop solutions leveraging database backup and restore ...

Sensefolio, based in Greater London, is looking for an experienced NLP Engineer to join their innovative team. The role involves leveraging expertise in natural language processing and machine learning to analyze ESG-related textual data. Candidates should have at least 3 years of experience, proficiency in Python … NLP libraries, and educational background in computer science or related fields. The position offers a competitive salary and opportunities for professional growth. #J-18808-Ljbffr ...