51 to 75 of 482 Natural Language Processing Jobs

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing Strong proficiency in designing optimized ELT/ETL pipelines ...

software design principles. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL, NoSQL) and data processing tools (Pandas, NumPy). Soft Skills Excellent … problem-solving skills. Strong communication abilities. Capability to work collaboratively in a team environment. Preferred Skills Experience with natural language processing (NLP) and computer vision techniques. Knowledge of reinforcement learning and deep learning architectures. Familiarity with DevOps practices and continuous integration/continuous deployment (CI/ ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

platform delivering real‐time agent‐assist solutions for customer support across chat, email, and voice channels. Using natural language processing (NLP), machine learning, and large language models (LLMs), Deepdesk extracts knowledge from multiple enterprise systems and delivers conversation insights, summaries, and next‐best actions directly into ...

Braunford LLP is seeking a Natural Language Processing (NLP) Researcher to tackle complex quantitative finance problems from our London HQ. You will work with large text corpora and use state-of-the-art NLP techniques to predict future market behavior. The role requires expertise in NLP, machine ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

customer service, supply chain optimization, recommendation systems, and internal operations. Develop robust agent architectures, incorporating machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques. Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow. Conduct research and experimentation with … proficiency in programming languages such as Python, Java, or C++. In-depth understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques. Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures. Solid understanding of software engineering principles, including design patterns, data structures ...

sound architecture decisions. Demonstrated experience with AI/ML technologies, including LLMs, Retrieval Augmented Generation (RAG), agentic workflows, Natural Language Processing (NLP), and predictive analytics, and the discipline to run them reliably in production. Track record of building on shared enterprise data platforms (for example Snowflake ...

Initial Duration) Start: ASAP Location: London (Hybrid) Pay Rate: £450 - £480 per day Specialism(s): AI Strategy, Artificial Intelligence, Generative AI, Machine Learning, Large Language … Models (LLMs), AI Agents, Conversational AI, Intelligent Automation, Robotic Process Automation (RPA), Data Science, Data Analytics, Predictive Analytics, Natural Language Processing (NLP), AI Product Development, Innovation Management, Emerging Technologies, Digital Transformation, Process Optimisation, Rapid Prototyping, Proof of Concept (PoC) Development, Innovation Labs, Human-Centred Design, Design Thinking ...

Vertex AI, GCP storage) or AWS/Azure. Advanced Data Science Techniques: Exposure to advanced methods such as Natural Language Processing (NLP), deep learning, or mathematical optimisation. Academic Background: Degree or equivalent background in Mathematics, Physics, Statistics, Engineering, Computer Science, or a related quantitative field. Domain Experience ...

delivery of new SOTA challenger models Tuning and optimising strategies for incumbent models Design and govern the use of Large Language Models (LLM)-as-judge approaches within alert handling processes (evaluation framework, quality controls, bias/robustness testing and auditability) Document model logic, assumptions, limitations and test outcomes … experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring Experience with hyperparameter tuning at scale and experimentation ...

train deep learning models using TensorFlow or PyTorch. ✔️ Process and analyze large-scale structured and unstructured datasets. ✔️ Apply natural language processing (NLP) and computer vision techniques. ✔️ Integrate AI solutions into existing products and platforms. ✔️ Optimize model accuracy, efficiency, and scalability. ✔️ Research new AI frameworks, methodologies, and technologies. ...

think critically about complex systems. Preferred Skills: • Experience with reinforcement learning and multi-agent systems. • Familiarity with natural language processing (NLP) and computer vision. • Knowledge of ethical AI practices and frameworks. • Experience in deploying AI solutions in production environments. • Strong communication skills and the ability to present ...

Machine Learning Models. Deep understanding of product delivery from requirements to desirable business outcomes. Demonstrable experience applying Natural Language Processing (NLP) to areas such as information retrieval. Proven ability to design, build, and optimise recommender systems. Strong experience in experimental design, including A/B testing ...

statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks. … experience developing and applying supervised and unsupervised machine learning models to real-world problems. Hands‐on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine ...

statistical fundamentals to complex data environments Have hands-on experience across model training, evaluation, and deployment using Machine Learning, AI, Neural Networks, or NLP frameworks Demonstrate strong proficiency in Python or Java for data scripting and production engineering Have advanced SQL skills Build static data pipelines and conduct deep-dive … competitions, or Google Summer of Code/GSoC experience with Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), Transformers, or LSTMs familiarity with real-time streaming data pipelines such as Kafka domain experience in Fintech, E-commerce, or fast-scaling tech companies Условия ...

FreeSWITCH or Asterisk communication engines. Speech AI Integration: Implement Speech-to-Text (STT), Text-to-Speech (TTS), and Natural Language Processing (NLP) workflows into live voice streams. Cloud Operations: Deploy and monitor voice applications across AWS, Azure, and Google Cloud Platform (GCP). Troubleshooting: Use network analysis … drops, and latency problems. Team Collaboration: Work alongside senior architects and DevOps teams to roll out scalable conversational AI bots. Required Skills & Qualifications Core Language: Professional experience with Java, including multi-threading and network programming. In depth knowledge of Java Good knowledge of Java applications using JAIN SLEE framework ...

FreeSWITCH or Asterisk communication engines. Speech AI Integration: Implement Speech-to-Text (STT), Text-to-Speech (TTS), and Natural Language Processing (NLP) workflows into live voice streams. Cloud Operations: Deploy and monitor voice applications across AWS, Azure, and Google Cloud Platform (GCP). Troubleshooting: Use network analysis … issues, call drops, and latency problems. Team Collaboration: Work alongside senior architects and DevOps teams to roll out scalable conversational AI bots. Requirements: Core Language: Professional experience with Java, including multi-threading and network programming. In depth knowledge of Java Good knowledge of java applications using JAIN SLEE framework ...

FreeSWITCH or Asterisk communication engines. · Speech AI Integration: Implement Speech-to-Text (STT), Text-to-Speech (TTS), and Natural Language Processing (NLP) workflows into live voice streams. · Cloud Operations: Deploy and monitor voice applications across AWS, Azure, and Google Cloud Platform (GCP). · Troubleshooting: Use network analysis … issues, call drops, and latency problems. · Team Collaboration: Work alongside senior architects and DevOps teams to roll out scalable conversational AI bots. Requirements: · Core Language: Professional experience with Java, including multi-threading and network programming. · In depth knowledge of Java · Good knowledge of java applications using JAIN SLEE framework ...

recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex ...

Data Expert with 7 to 10 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. ...

technical systems Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting ...

Power BI, Tableau or similar tools to create impactful dashboards and visualise complex data. A solid understanding of Natural Language Processing (NLP), sentiment analysis and the capabilities and limitations of machine learning models. Proven ability to translate complex data and analytics into clear, actionable insights for senior ...

Engineer with a strong quantitative background to work on real‐world prediction problems within financial markets. The role combines statistical modelling, machine learning research, natural language processing, and large language model applications in a production investment environment. You will develop predictive models across fixed income … Large language models. Retrieval‐augmented generation. Document understanding systems. Information extraction. Long‐context document processing. Prompt engineering. Structured generation techniques. Evaluation framework design. NLP pipelines. Text analytics. Programming and Engineering Python. SQL. Git or equivalent version‐control systems. Software engineering best practices. Data pipeline development. Production machine learning systems. ...