1 to 25 of 48 Permanent Natural Language Processing Jobs with Hybrid or WFH Options

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 »

or computer vision systems in an industrial environment Experience with time-series data and correlation Understanding of multiple Machine Learning disciplines, such as Image Processing, Computer Vision, Signal Processing, Natural Language Processing, Pattern Recognition etc. Experience with Docker and Google Suite including Google Cloud Platform … Experience with DevOps tools such as experiment tracking, automation, dataset versioning, etc. Excellent data processing capabilities using tools such as Python, Excel, Google Suite About you: You have good interpersonal skills and are prepared to collaborate in a team to refine solutions Natural curiosity to explore unexplored Perseverance more »

technical disciplines. Machine learning expert: An aptitude for technology innovation, especially in advanced machine learning fields. Experience with Natural Language Processing (NLP), especially large language models (LLMs) is preferred. OSINT understanding: experience or close collaboration with teams that use OSINT techniques to investigate the internet information 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 »

ll need to demonstrate your knowledge and applied experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory, ML research, or in a related specialist role. You’ll be proficient in Python for data more »

ll need to demonstrate your knowledge and applied experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory, ML research, or in a related specialist role. You’ll be proficient in Python for data more »

and neural networks Experience in software development, with proficiency in relevant programming languages (e.g., Python, Java) Familiarity with Natural Language Processing (NLP) techniques and frameworks Ability to design and optimize AI algorithms and models Strong problem-solving and analytical skills Excellent communication and collaboration abilities Master's 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 »

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 »

will work on a range of projects, using your experience in data science and AI technologies such as machine learning, generative AI, computer vision, natural language processing and deep learning . As well as being responsible for identifying AI opportunities, designing, and developing solutions. Annual bonus (paid more »

will work on a range of projects, using your experience in data science and AI technologies such as machine learning, generative AI, computer vision, natural language processing and deep learning . As well as being responsible for identifying AI opportunities, designing, and developing solutions. Annual bonus (paid 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 set to generate insights & product development directions. You’ll work with a talent team of data scientists who are pushing the boundaries of NLP in the Climate space. What you’ll be doing Our policy and data science teams curate and generate large and complex datasets which are rich 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 »

will work on a range of projects, using your experience in data science and AI technologies such as machine learning, generative AI, computer vision, natural language processing and deep learning . As well as being responsible for identifying AI opportunities, designing, and developing solutions. Annual bonus (paid more »

unstructured data, including the integration of data through AWS and Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered an advantage. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in the design and construction of 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 »

and protocols across their assets and SDLC. With a focus on data risk management and privacy compliance, Zendata's solutions utilize machine learning and natural language processing to analyze processes in real-time and ensure regulatory threats and fines are avoided. Their platforms provide global coverage, 24x7 more »

you gain Experience working in a high-performance environment where collaboration and business impact are BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why more »

you gain… Experience working in a high-performance environment where collaboration and business impact are BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why more »

Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point on more »