76 to 100 of 500 Natural Language Processing Jobs

using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human … intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively More ❯

using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human … intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively More ❯

using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human … intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively More ❯

using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human … intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively More ❯

using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human … intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively More ❯

using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human … intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively More ❯

using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human … intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively More ❯

using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human … intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively More ❯

using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human … intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively More ❯

Hub, Docker Registry. Container Orchestration: Kubernetes, Docker Swarm. Gen AI: LLMs Languages: Java 17 or above, Python AI/ML Concepts: Machine Learning, Natural Language Processing (NLP), Deep Learning. Required/Desired Skills Experience in modern technologies. Required - 10 Years Technical expertise in software development, including proficiency in programming languages, frameworks and technologies relevant to the project. More ❯

authoring, Docker Hub, Docker RegistryContainer Orchestration: Kubernetes, Docker SwarmGen AI: LLMs?Languages: Java 17 or above, Python?AI/ML Concepts: Machine Learning, Natural Language Processing (NLP), Deep Learning.Experience and Technical Skills Required?Ten(10) years of experience in modern technologiesPrevious experience using- Strong technical expertise in software development, including proficiency in programming languages, frameworks and technologies More ❯

beneficial and may be required in the role; we are happy to support your learning on the job, but prior experience is a plus: Experience with large-scale data processing frameworks (e.g., Spark, Flink). Experience with time series analysis, anomaly detection, or graph analytics in a security context. Proficiency in data visualization tools and … techniques to effectively communicate complex findings. A basic understanding of the cyber threat landscape and technical Indicators of Compromise (IOCs). Experience with Natural Language Processing (NLP) for analyzing unstructured security data. What Makes Cloudflare Special? We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with … accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at or via mail at 101 Townsend More ❯

strategies. Automation, AI/ML-based Testing, and Process Optimization Drive test automation efforts, including UI and API test automation, utilizing appropriate tools and frameworks to support continuous payroll processing and HR system reliability. Identify opportunities to enhance efficiency in testing processes and implement improvements that reduce errors in payroll calculations and reporting. Establish and maintain automated testing pipelines … and improve test coverage. Implement self-healing test automation techniques using machine learning models to reduce script maintenance and improve test stability. Utilize natural language processing (NLP) for automated requirements analysis, ensuring comprehensive test scenarios and reducing missed test cases. Integrate AI-driven anomaly detection systems to proactively identify defects and performance bottlenecks in global payroll transactions. … automation strategies align with business goals and reduce reliance on manual testing. Define and implement performance testing strategies to measure system scalability, ensuring the application can handle high payroll processing loads. Collaboration and Stakeholder Communication Work closely with developers, product owners, and payroll compliance teams to ensure timely feedback and smooth integration of QA processes within Mercans global payroll More ❯

technologies skills (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing skills (e.g. ETL, ESB, API) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous More ❯

AI Foundry . Proven experience working with Azure cloud services and Generative AI R&D. Strong understanding of machine learning, data modelling , and natural language processing (NLP) techniques. Experience with fine-tuning , prompt orchestration , and retrieval methods (RAG, knowledge graphs). Familiarity with frameworks such as LangGraph , Azure AI Foundry Agents , and Semantic Kernel Agents . Good More ❯

Experience working with large datasets, particularly in relation to demand and supply forecasting. Bonus: Experience in the energy or utilities industry. Exposure to Natural Language Processing (NLP) or other related fields. Familiarity with data engineering practices and working with large datasets. Competitive salary and a stock options sign-on bonus Biannual bonus scheme Fully expensed tech to More ❯

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous More ❯

and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a More ❯

and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a More ❯

and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a More ❯

and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a More ❯

and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a More ❯

A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: • 3+ years of experience in machine learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch More ❯

A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: • 3+ years of experience in machine learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch More ❯

A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: • 3+ years of experience in machine learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch More ❯