51 to 75 of 173 Permanent Natural Language Processing Jobs

skilled Software Developer to join our growing Governance team. This role will focus on developing and integrating cutting-edge AI solutions leveraging Large Language Models (LLMs), OpenAI services, Azure AI services, and vector databases into governance tools to help end users with more tailored and data driven responses. … Responsibilities: Design, develop, and implement AI-powered features and applications using Python and Java. Integrate with OpenAI and Azure AI services, including LLMs, for natural language processing, text generation, and other AI functionalities. Work with vector databases to efficiently store, retrieve, and manage embeddings for semantic search ...

Proven experience moving AI solutions from development through to production in large or complex organizations. Strong understanding of AI and machine learning technologies including natural language processing, generative AI, retrieval augmented generation and MLOps. Hands-on experience with cloud platforms, with a preference for Microsoft Azure. Excellent ...

plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. … client in conjunction with this vacancy only. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance ...

improvements, and AI driven innovations for BTR, facilities, leasing, marketing, and finance. AI Model Design & Implementation Build, fine tune, and deploy AI models for natural language processing, enquiry handling, anomaly detection, predictive maintenance, workflow automation, and operational optimisation. Design AI agents to support community managers, maintenance teams ...

more general purpose programming languages including but not limited to: Python, R, Scala, Spark Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition. Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch. Familiarity with … Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications Experience training and maintaining large language models Experience with production-grade development, integration and support Experience and familiarity presenting to technical and business audiences Where permitted by applicable law, must ...

front end engineers in our expanding innovation development team, and to drive development of an innovative new product that makes use of machine learning, natural language processing, speech recognition and text to speech synthesis to create dynamic, adaptive interactive scenarios for English learning and assessment. Minimum requirements ...

front end engineers in our expanding innovation development team, and to drive development of an innovative new product that makes use of machine learning, natural language processing, speech recognition and text to speech synthesis to create dynamic, adaptive interactive scenarios for English learning and assessment. Minimum requirements ...

rapidly growing Artificial Intelligence and Machine Learning Research Group. We are looking for academics at the Lecturer and Senior Lecturer level, with expertise in Natural Language Processing, Reinforcement Learning, and/or AI Security, to lead research, teach, and help with the running of the department. Artificial ...

goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing ...

goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing ...

core principles that board members must champion: Human-Centered Design - Ensuring AI serves as a creative partner that enhances rather than replaces children's natural storytelling abilities, maintaining human agency in all creative decisions. Ethical Innovation - Prioritizing child privacy, emotional safety, and developmentally appropriate interactions in all AI tool … cultures. Latin America: Creating accessible AI tools for communities with limited technology infrastructure, preserving indigenous storytelling traditions through AI documentation, and developing Spanish-Portuguese language models. Africa: Building low-bandwidth AI storytelling solutions, integrating oral tradition preservation with modern technology, and developing culturally responsive AI models for diverse African ...

rapidly growing Artificial Intelligence and Machine Learning Research Group. We are looking for academics at the Lecturer and Senior Lecturer level, with expertise in Natural Language Processing, Reinforcement Learning, and/or AI Security, to lead research, teach, click apply for full job details ...

forefront of AI development. The role: Drafting and prosecuting patent applications for a wide range of AI-related innovations, including machine learning, natural language processing, and data analytics. Providing strategic IP advice to clients developing novel software and hardware solutions. Managing a diverse portfolio of domestic ...

forefront of AI development. The role: Drafting and prosecuting patent applications for a wide range of AI-related innovations, including machine learning, natural language processing, and data analytics. Providing strategic IP advice to clients developing novel software and hardware solutions. Managing a diverse portfolio of domestic ...

join two rapidly growing teams within a high-growth fintech/data intelligence scaleup. You’ll work on cutting-edge Generative AI, LLMs, NLP, and Information Retrieval , building production systems used by global customers. You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work … minded approach and ability to work cross-functionally. 2. Senior AI Engineer - Information Retrieval (Engineering-Focused) Own engineering for large-scale Information Retrieval/NLP pipelines. You will: Build and optimise retrieval, ranking, and document processing systems. Implement transformers, embeddings, search pipelines and evaluation frameworks. Deploy and maintain ...

join two rapidly growing teams within a high-growth fintech/data intelligence scaleup. You’ll work on cutting-edge Generative AI, LLMs, NLP, and Information Retrieval , building production systems used by global customers. You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work … minded approach and ability to work cross-functionally. 2. Senior AI Engineer - Information Retrieval (Engineering-Focused) Own engineering for large-scale Information Retrieval/NLP pipelines. You will: Build and optimise retrieval, ranking, and document processing systems. Implement transformers, embeddings, search pipelines and evaluation frameworks. Deploy and maintain ...

teams to transform cutting-edge research into production-ready systems. Key Responsibilities Model Development: Design, train, and optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems. Data Pipeline Engineering: Build and maintain robust data pipelines for feature extraction, transformation, and model training. Deployment & Monitoring: Implement models ...

teams to transform cutting-edge research into production-ready systems. Key Responsibilities Model Development: Design, train, and optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems. Data Pipeline Engineering: Build and maintain robust data pipelines for feature extraction, transformation, and model training. Deployment & Monitoring: Implement models ...

relevant platforms such as UiPath Architect, Automation Anywhere Master RPA, Blue Prism Professional, or equivalent. Experience with AI/ML integration, intelligent document processing (IDP), OCR, and NLP. Knowledge of data engineering, analytics, and cloud automation frameworks. Background working in large enterprise environments such as finance, healthcare, retail ...

business insights 🤝 Collaborate with cross-functional teams including analysts, engineers, and product owners to support data-led decision-making 🔍 Explore opportunities in forecasting, optimisation, NLP, and automation using tools like Python, SQL, and modern ML libraries 📐 Contribute to best practices in data quality, documentation, reproducibility, and model governance What ...

business insights 🤝 Collaborate with cross-functional teams including analysts, engineers, and product owners to support data-led decision-making 🔍 Explore opportunities in forecasting, optimisation, NLP, and automation using tools like Python, SQL, and modern ML libraries 📐 Contribute to best practices in data quality, documentation, reproducibility, and model governance What ...

optimize data pipelines and ETL workflows for efficient and accurate data movement and transformation. Apply data science and AI techniques (predictive modelling, clustering, regression, NLP) to uncover trends and enable forecasting. Design scalable data models and analytics frameworks to support self-service BI and advanced analytics. Collaborate with cross-functional ...

with experience preferred in related fields Experience in the securities or financial services industry is a plus Deep understanding of applied data science, ML, NLP (e.g. feature engineering, supervised/unsupervised learning, predictive analytics, clustering, anomaly detection, sentiment analysis, entity recognition), and GenAI/LLM Good understanding of Responsible ...

results to stakeholders and executives effectively. Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed Hands-on experience ...

technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using ...