76 to 100 of 283 Permanent Natural Language Processing Jobs

problems and engineering workflows. Preferred Qualifications Experience with data analysis at scale, data visualization and data ingestion pipelines for training models. Experience with Large Language Models and notably Agents and Tools. Working knowledge of JAX/PyTorch or similar frameworks. About the Job At Google, research-focused Software Engineers … over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. ...

opportunity has become available working with a fast-growing start-up who are at the forefront of intelligent interaction for accounting, blending machine learning, natural language processing, and human-centred design to create autonomous systems that redefine engagement with technology. As the Full Stack Software Developer … Manage technical debt and system performance. Technical Role Requirements: Technical Requisites: Experience in backend, full-stack development. Familiarity with bot platforms, conversational AI, or NLP tooling. Agile delivery and sprint management skills. Proficiency in modern frontend technologies (HTML, CSS, Tailwind, JavaScript/TypeScript, Vue.js React or equivalent) Experience in backend ...

architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. … related computational field, or equivalent practical experience. Experience in delivering research impact through publications, open-source contributions, or deployed systems. Experience with large language models, agentic workflows (e.g., tool use, decomposition, multi-agent coordination), or inference-time reasoning architectures. Programming experience across common scripting languages and ML pipelining tools. ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

applications in healthcare and emerging health technologies. Excellent written and verbal communication skills. Ability to translate complex medical information into clear, accessible language for both patients and technical teams. Detail-oriented with strong editorial judgement and analytical skills. Willingness to continuously learn and adapt to new technologies and methodologies. … Desirable Familiarity with NICE guidelines and UK healthcare regulations. Previous editorial or content review experience. Knowledge of AI, machine learning, or natural language processing applications in healthcare. Experience working with AI tools or clinical decision support systems. Understanding of health data standards (SNOMED CT, FHIR) and regulatory ...

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 ...

with people at all organizational levels of the firm Display a strong understanding and experience with emerging technologies, including generative artificial intelligence, machine learning, natural language processing, and their practical applications in a legal or corporate environment Possess a comprehensive knowledge of relevant AI and privacy legislation ...

with people at all organizational levels of the firm Display a strong understanding and experience with emerging technologies, including generative artificial intelligence, machine learning, natural language processing, and their practical applications in a legal or corporate environment Possess a comprehensive knowledge of relevant AI and privacy legislation ...

opportunity has become available working with a fast-growing start-up who are at the forefront of intelligent interaction for accounting, blending machine learning, natural language processing, and human-centred design to create autonomous systems that redefine engagement with technology. This role is perfect for someone eager … Support stakeholders with governance, auditing, and safe data handling. Required Skills & Qualifications: Foundational understanding of software development and working with APIs. Interest in large language models, prompt design, and conversational AI/NLP. Exposure to modern frontend technologies (HTML, CSS, JavaScript/TypeScript; React, Vue.js or equivalent ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops Familiarity with AI systems, natural language processing tools, or machine learning products Experience using tools like Jira, Confluence, or similar issue tracking and documentation systems 7+ years ...

mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops Familiarity with AI systems, natural language processing tools, or machine learning products Experience using tools like Jira, Confluence, or similar issue tracking and documentation systems 7+ years ...

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 ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

other processing of unstructured content. Most use cases are creative chains of multiple steps drawn from data processing, exploratory analysis, fundamental ML, NLP, SQL, LLMs and integration into our live systems. What you’ll do Lead the team Manage, coach and develop Penta’s Data Science team, setting … execution, quality, pace, maintainability and cost discipline. Ship production data science and AI systems Design, build and review data science solutions across NLP, LLM workflows, machine learning, SQL and large‐scale content processing. Own technical design and architecture for data‐science‐enabled applications, ensuring solutions are maintainable, supportable, observable ...

validation of Agentic AI‐driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers … translate validated approaches into scalable, customer‐facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi‐step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g. ...

validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers … translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g. ...

validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers … translate validated approaches into scalable, customer-facing solutions. **Key Responsibilities:*** Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search).* Define agentic workflows and reasoning strategies for multi-step IP tasks.* Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g. ...

validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers … translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g. ...

validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers … translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g. ...

etc.) Solid grounding in statistics and core ML concepts Strong communication skills, able to explain technical concepts to non-technical stakeholders Desirable Experience with NLP or computer vision specialisms Exposure to containerisation/orchestration (Docker, Kubernetes) Relevant academic background (MSc/PhD in a quantitative field) or equivalent commercial experience ...

experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence. This role combines two critical focus areas: MLOps Engineering - building and scaling enterprise-grade ...

3+ years of experience in backend software development, building scalable, resilient, and production-grade systems Hands‐on experience developing AI‐powered applications, including large language models (LLMs), AI agents, retrieval‐augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept … world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners ...