51 to 75 of 230 Natural Language Processing Jobs in London

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 … catalog engineering teams. BASIC QUALIFICATIONS Bachelor's or Master degree in Engineering or related field. Knowledge and experience in at least one modern programming language such as C, C++, Java, or Perl. Experience building tools for automation (building, testing, releasing or monitoring). 1+ years of DevOps or SysOps More ❯

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 … catalog engineering teams. Minimum Qualifications Bachelor's or Master degree in Engineering or related field. Knowledge and experience in at least one modern programming language such as C, C++, Java, or Perl. Experience building tools for automation (building, testing, releasing or monitoring). 1+ years of DevOps or SysOps More ❯

by digital consumer data sources. Through your proactive research, and driven by your passion for data science, you'll surface the latest AI and NLP innovations, connecting the dots with Curve's use cases to propose novel solutions to our most challenging problems. You'll work on a mix of … We are looking for a passionate and ambitious data scientist, enthusiastic about continuously learning through exploring and experimenting with trends in data science and NLP, with a keen interest in applying innovative approaches to digital consumer data sources for the benefit of Curve and our clients. WHAT YOU'LL BE … innovative data science models and prototypes in Python, from scratch Proactively research, experiment with, and share the latest trends in data science, AI and NLP Translate unstructured business problems into clear requirements Interrogate and data mine rich digital consumer data sources such as social posts, search engine data, product reviews More ❯

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 More ❯

decision support systems, while also incorporating complementary AI capabilities including voice technologies (IVR, voice-to-text), computer vision (image and video-based diagnostics), and natural language processing where they provide strategic value. Beyond our customer-facing products, you'll drive internal operational excellence by developing AI-powered … software environments, with a proven track record of launching automation solutions and AI features in complex business contexts Strong understanding of machine learning algorithms, NLP, and LLMs with demonstrated business application expertise Experience developing AI-powered automation systems, intelligent assistants/copilots, RAG systems, voice interfaces, and computer vision applications … image and video processing) for enterprise environments Knowledge of advanced AI agent frameworks and architectures such as ReAct for building more effective autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps More ❯

Minimum Qualifications: Proven experience in a data science or AI-related role, preferably within a creative or marketing agency. Deep understanding of machine learning, natural language processing, and other AI techniques. Strong data analysis skills, with experience using tools like SQL, Python, R, and data visualisation platforms. More ❯

investment bank Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow Personal Attributes Strong academic record and a degree with high mathematical More ❯

over 20 years and have raised over $300 million through their academic research, including a $110 million grant focused on development work on large language models in medicine. Pangaea's AI platform, PALLUX, is configured on clinical guidelines to find more untreated (undiagnosed, miscoded, at-risk) and under-treated … the software product and collaboration with the clinical and scientific team. A strong software engineering background and knowledge in AI, especially Machine Learning and Natural Language Processing, is essential. For the right candidate, this is a senior technical position with scope to grow into a leadership role. … is a plus. Experience with research communities and/or efforts, including having published papers (being listed as author) at AI/ML/NLP/CV conferences (e.g. Bio-IT, NeuraIPS, ICML, ICLR, ACL, CVPR and KDD) and journals. Experience and knowledge of deploying AI and Data solutions for More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll get hands-on experience across a range of AI applications that are … Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in More ❯

you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll get hands-on experience across a range of AI applications that are … Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in More ❯

of UK healthcare data sets, standards, or regulatory environments. Familiarity with cloud platforms (e.g., Azure, AWS) and containerisation tools (e.g., Docker). Exposure to natural language processing or AI/ML techniques. Experience contributing to technical aspects of proposals or client pitches. Flexible Working We embrace a More ❯

and implementing sophisticated algorithms that directly impact business outcomes. This role offers the opportunity to innovate with state-of-the-art technologies, including large language models and advanced AI applications. Technical Scope: Your work will encompass address intelligence, involving complex data processing across multiple languages and regions. You … mapping information, geographical datasets, and various location identifiers. The ideal candidate will possess deep knowledge of machine learning methods for large-scale predictive modeling, natural language processing, and graph-based learning. Experience in productionizing ML models and good communication skills are essential. You should be comfortable explaining … business application experience Experience in patents or publications at top-tier peer-reviewed conferences or journals 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 More ❯

which enables searching through half a million pages documenting climate action, by government, worldwide. Harnessing data science and AI, and pioneering the application of natural language processing to this domain, our work unlocks previously inaccessible, unstructured data. This serves to enhance accountability, and promote data democratisation, transforming More ❯

which enables searching through half a million pages documenting climate action, by government, worldwide. Harnessing data science and AI, and pioneering the application of natural language processing to this domain, our work unlocks previously inaccessible, unstructured data. This serves to enhance accountability, and promote data democratisation, transforming More ❯

. Engagement with external stakeholders. Responsibilities: Organize and analyze large data sets and be able to communicate your findings to senior analysts. Undertake pre-processing of structured and unstructured data. Drive both business decisions and research based on the insights obtained from the data. Be able to use natural language processing to analyze internal and external data. Propose data solutions and strategies to business challenges and opportunities. Assist with improving data efficiencies and processes across the team. Conduct quantitative and qualitative credit research, and various statistical analysis to analyze trends. Monitor and analyze key global market More ❯