176 to 200 of 463 Natural Language Processing Jobs in the UK

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 ...

methods with important data driven insights for questions of law and politics. We particularly welcome applications from candidates with methodological skills in machine learning, natural language processing, computer vision, GenAI & prompt engineering, or agent-based modelling. We also strongly encourage applications from women and/or candidates ...

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 ...

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 ...

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 ...

have expertise in one or more of the teaching areas of the department: Data Analysis & VisualizationMachine LearningDeep Learning & Neural NetworksNatural Language Processing (NLP)Computer VisionData EngineeringAI Ethics, Governance & Responsible AIYou will be expected to have relevant teaching experience and a PhD in Computer Science or a related discipline. ...

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 ...

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. … Computer Science, a related field, or equivalent practical experience. 2 years of experience with reinforcement learning and imitation learning. Experience with vision, vision-language, video, and other multimodal models. Experience with multimodal generative modeling, training and inference. Preferred qualifications: Experience with capture methodologies, dataset design, experimentation, and incorporation ...

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. … Computer Science, a related field, or equivalent practical experience. 2 years of experience with reinforcement learning and imitation learning. Experience with vision, vision-language, video, and other multimodal models. Experience with multimodal generative modeling, training and inference. Preferred qualifications: Experience with capture methodologies, dataset design, experimentation, and incorporation ...

Computer Science, a related field, or equivalent practical experience. 2 years of experience with reinforcement learning and imitation learning. Experience with vision, vision-language, video, and other multimodal models. Experience with multimodal generative modeling, training and inference. Preferred qualifications: Experience with capture methodologies, dataset design, experimentation, and incorporation … 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. Artificial intelligence ...

Data Engineer will have some hands-on full stack experience. Requirements of the Lead Data Engineer include: Must be a Python and SQL expertNLP (natural language processing) experienceML (machine learning experience)Experience developing new data insights, perhaps using PowerBI, or PythonAPI development with C# or open APIExperience ...

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., relevance, ranking quality ...

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. ...

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 ...

Competencies3+ years of experience in backend software development, building scalable, resilient, and production-grade systemsHands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniquesProven ability to take AI solutions from concept and experimentation through … learningAbout the TeamOur Innovation team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing.The group is made up of a diverse set of engineers, data scientists ...

with clients to solve their most complex challenges. Design and implement end-to-end ML pipelines from experimentation to production Lead model development across NLP, computer vision, and time‐series forecasting Architect scalable model serving infrastructure on cloud platforms (AWS/GCP/Azure) Conduct rigorous model evaluation, A/ ...

with the ability to personally contribute high‐quality production code while guiding technical direction Deep hands‐on expertise building enterprise AI applications using large language models, AI agents, retrieval‐augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques Proven ability to take complex AI solutions from … application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real‐time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval‐augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...

similar, with the ability to personally contribute high-quality production code while guiding technical directionDeep hands-on expertise building enterprise AI applications using large language models, AI agents, retrieval-augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniquesProven ability to take complex AI solutions from prototype … services, application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scaleImplement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integrationMake key technical decisions while remaining accountable ...