1 to 25 of 61 Natural Language Processing Jobs with Remote Work Options

of the job What we're looking for:o Expert knowledge and expertise in applying data science and advanced analytical techniques including machine learning, natural language processing, statistical and predictive modelling and emerging techniques such as generative AI.o Ability to lead the delivery of complex, high value … Analytics team. Leads on the development and implementation of data science and advanced techniques in response to business questions including exploratory analysis, machine learning, natural language processing, data linkage, statistical and predictive modelling, data visualisation and emerging techniques such as the application of generative AI. Expanding team … leadership and standards Provides specialist advice and guidance across the NHSBSA on data science and advanced analytical techniques including the development of machine learning, natural language processing, statistical and predictive modelling and emerging techniques such as the application of generative AI. This will include individuals and groups more »

built upon a foundation of academic and proprietary research and harness the latest developments in AI, machine learning, Natural Language Processing (NLP), Large Language Models (LLM), and technologies built on advanced financial mathematics Your role: Keep the team organised by managing inboxes, calendars and key operational more »

built upon a foundation of academic and proprietary research and harness the latest developments in AI, machine learning, Natural Language Processing (NLP), Large Language Models (LLM), and technologies built on advanced financial mathematics Your role: Keep the team organised by managing inboxes, calendars and key operational more »

research and develop deep learning models for predicting financial markets, including but not limited to time series forecasting, natural language processing (NLP), and image analysis. Collaborate with portfolio managers and traders to identify alpha-generating strategies and optimize trading algorithms. Stay abreast of the latest developments in more »

learning models. Collaborating closely with our development team, you'll be instrumental in packaging our software into containerized releases. Your projects will span Large Language Models (LLMs) and Computer Vision (CV), with a primary focus on extracting information from financial and business documents for subsequent processing. Operating within a … deployment - Proficiency in the mathematical foundations of ML, including Linear Algebra and Statistics - Familiarity with modern CV and Natural Language Processing (NLP) techniques - Creating and configuring containerized ML applications with Docker - Proficient programming skills in Python - Scripting on Linux systems using Bash and Python - A fearless approach more »

Lead the harmonisation and integration of diverse biological ontologies into a cohesive knowledge base, utilising standards like RDF (Resource Description Framework), OWL (Web Ontology Language), and technologies like Neo4j. Advocate for and implement leading graph database technologies, as well as RDF Stores and Triple-stores where relevant, to construct … Experience developing or extending ontologies to model domain knowledge in a structured form with an understanding of ontology languages such as OWL (Web Ontology Language). Domain expertise working in knowledge acquisition of biological data and experience working with biological ontologies (e.g. Mondo, ChEBI, KEGG, UniProt, Reactome etc). … and are actively engaging with the relevant tech communities. Nice to have: Knowledge of how to leverage ML, Natural Language Processing (NLP) and LLMs for knowledge discovery and acquisition to build knowledge graphs from unstructured data. Familiar with state-of-the-art approaches and techniques for generating more »

related field, or equivalent work experience Preferred Qualifications Experience with financial data analysis and investment strategies Knowledge of natural language processing (NLP) techniques Previous work in a startup environment or fintech industry Join us in shaping the future of retail investing through cutting-edge AI technology. Apply more »

related field, or equivalent work experience Preferred Qualifications Experience with financial data analysis and investment strategies Knowledge of natural language processing (NLP) techniques Previous work in a startup environment or fintech industry Join us in shaping the future of retail investing through cutting-edge AI technology. Apply more »

solutions. Proficiency with AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage more »

solutions. Proficiency with AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage more »

solutions. Proficiency with AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage more »

solutions. Proficiency with AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage more »

experience: Previous experience in developing AI-powered applications Strong background in AI and machine learning concepts Familiarity with natural language processing (NLP) and related technologies Experience in API integration for AI capabilities Exposure to some JavaScript technologies or Python would be advantageous Knowledge of data security and 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 … supporting data partners in curating large libraries of climate-related documents. Building out our “virtual research assistant” roadmap ambition, including leveraging and productionising large language models to help researchers analyse data. You will be working in a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL 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 … supporting data partners in curating large libraries of climate-related documents. Building out our “virtual research assistant” roadmap ambition, including leveraging and productionising large language models to help researchers analyse data. You will be working in a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL more »

libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning lifecycle and collaboration more »

libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning lifecycle and collaboration more »

and areas for improvement within the sales function. Collaborate with cross-functional teams to develop and execute an AI strategy that leverages machine learning, natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such more »

libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration more »

libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration more »

libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration more »

libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration more »

the private sector to understand and advance effective climate policies and deploy climate finance. Harnessing data science and AI and pioneering the application of natural language processing to this domain, our work unlocks previously inaccessible, unstructured data. We are deeply embedded in the global climate and AI … data partners in curating large libraries of climate-related documents. And building out our virtual research assistant roadmap ambition, including leveraging and productionising large language models to help researchers analyse data. Our ideal candidate will champion engineering excellence, open source, and delightful user experiences. We are looking for candidates more »

of structured and unstructured data, including integration of data through Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered advantageous. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in designing and constructing solutions tailored for more »

Computer Engineering, Electrical Engineering, or a closely related field and 8+ years - Strong familiarity with the principles of related disciplines such as Computer Vision, Natural Language Processing, Machine Learning, Predictive Modeling, Statistical Analysis, and Hypothesis Testing. - Experience with web-based development, C++, Python, MATLAB, Jira, agile development more »