251 to 275 of 334 Natural Language Processing Jobs in London

design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? About our Team Our global team support products education electronic health records that introduce students … maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based ...

experimentation, contributing to the next generation of AI-powered scientific discovery tools.This role is ideal for someone with hands-on experience in applied AI, NLP, information retrieval, and LLM-based applications, who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities.Key responsibilitiesApplied AI & ResearchDevelop and improve … Data Science organization.Support delivery of projects from research and experimentation through production deployment.Required qualificationsMaster’s or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related fieldExperience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related fieldHands-on experience with ...

Data Scientist, London/Oxford hybrid workingAre you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create real user value … strive to maintain. Our team values trust, respect, collaboration, agility, and quality.About the RoleIn this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific content and data ...

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create real user … maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific content and data ...

rigor and validity.Contribute to responsible AI practices, including bias, fairness, and risk evaluationGenerative AI & Applied ResearchApply and adapt state-of-the-art techniques in NLP, embeddings, and generative AI to production use cases.Evaluate and integrate emerging technologies into the team’s roadmap.Contribute to knowledge graph and semantic enrichment efforts that … Elsevier’s knowledge graph and metadata integration strategy, linking research and health data for more context-aware retrieval.Apply cutting-edge research in information retrieval, NLP, embeddings, and generative AI to continuously evolve Elsevier’s discovery and evaluation stack.Collaboration & DeliveryWork closely with product, engineering, and domain experts to define and deliver ...

Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your research … role if your background includes: Required qualifications PhD in a relevant discipline. 3+ years of hands‐on experience leading teams building advanced ML/NLP/AI systems in academia (e.g. through student supervision) or industry. Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL ...

Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your research … role if your background includes:Required qualifications:PhD in a relevant discipline.3+ years of hands-on experience leading teams building advanced ML/NLP/AI systems in academia (e.g. through student supervision) or industry.Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) ) with ...

Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your research … role if your background includes:*Required qualifications:** PhD in a relevant discipline.* 3+ years of hands-on experience leading teams building advanced ML/NLP/AI systems in academia (e.g. through student supervision) or industry.* Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL ...

long-term AI and discovery strategy across Elsevier platforms.Requirements: Master’s or PhD in Computer Science, Data Science, Machine Learning, Information Retrieval, Statistics, NLP, or a related quantitative field.Significant experience in Data Science, Machine Learning, Information Retrieval, Search Relevance, Evaluation Systems, or Applied AI.Significant experience leading and scaling high-performing … experience influencing senior leadership.Demonstrated ability to balance strategic leadership with pragmatic execution in rapidly evolving AI environments.Preferred qualificationsPhD preferred in Computer Science, Machine Learning, NLP, Information Retrieval, Statistics, or related field.Experience leading search, ranking, recommendation, or AI evaluation organizations at scale.Experience building evaluation systems for LLM-powered applications ...

long-term AI and discovery strategy across Elsevier platforms.**Requirements:*** Master’s or PhD in Computer Science, Data Science, Machine Learning, Information Retrieval, Statistics, NLP, or a related quantitative field.* 10+ years of experience in Data Science, Machine Learning, Information Retrieval, Search Relevance, Evaluation Systems, or Applied AI.* Significant experience … leadership.* Demonstrated ability to balance strategic leadership with pragmatic execution in rapidly evolving AI environments.**Preferred qualifications*** PhD preferred in Computer Science, Machine Learning, NLP, Information Retrieval, Statistics, or related field.* Experience leading search, ranking, recommendation, or AI evaluation organizations at scale.* Experience building evaluation systems for LLM-powered applications ...

technical capabilities of AI models Communicate strategy, initiatives, and progress transparently across the organisation Translate complex AI concepts, capabilities, and limitations into language that non‐technical stakeholders can act on Champion responsible AI practices: transparency in model outputs, bias monitoring, and compliance with client expectations around AI‐generated content … Experience in financial services, legal tech, or data/analytics platforms Familiarity with credit markets, debt instruments, or regulatory/compliance workflows Experience with NLP applied to document analysis (contracts, legal filings, financial reports) Experience with agent orchestration frameworks, tool use patterns, or multi‐step AI workflows Benefits Competitive, market ...

business needs and the technical capabilities of AI modelsCommunicate strategy, initiatives, and progress transparently across the organisationTranslate complex AI concepts, capabilities, and limitations into language that non-technical stakeholders can act onChampion responsible AI practices: transparency in model outputs, bias monitoring, and compliance with client expectations around AI-generated … newNice to HaveExperience in financial services, legal tech, or data/analytics platformsFamiliarity with credit markets, debt instruments, or regulatory/compliance workflowsExperience with NLP applied to document analysis (contracts, legal filings, financial reports)Experience with agent orchestration frameworks, tool use patterns, or multi-step AI workflowsBenefitsCompetitive, market-benchmarked salaryPension ...

research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing … Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your research findings ...

research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing … Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your research findings ...

build simulations and prototype data products.Experience validating quantitative findings with qualitative methods (e.g., surveys, user research).Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics.Deep experience in developing sophisticated customer segmentation models including predictive LTV modeling.Experience working within a two-sided ...

build simulations and prototype data products.Experience validating quantitative findings with qualitative methods (e.g., surveys, user research).Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics.Experience working within a two-sided marketplace, e-commerce, or the travel technology industry.Masters degree or equivalent ...

build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research).Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Masters ...

optimization of models to boost personalization, engagement, and traffic efficiency, balancing hands-on work with strategic leadership. The role requires advanced ML/NLP expertise, strong coding skills across Python/C++/Java, and collaboration with product, eng, and business teams. #J-18808-Ljbffr ...

real high-DoF hardware (humanoids, mobile manipulators, dual‐arm or legged platforms), including coordinating base and manipulator motion. Practical fluency with QP/NLP solvers and their failure modes: conditioning, infeasibility, warm starting, solve-time budgets, and what to do at the limit. Strong dynamic modelling foundations: rigid body kinematics ...

technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks ...

technical stakeholders Experience sharing knowledge with peers particularly the scientific/clinical domain. Nice to Have (Desirable Requirements) ML - Experience of classical ML and NLP methods Software craft – testing, observability, documentation, code review RAG pipelines at depth - experience building secure, compliant ingestion and retrieval systems with provenance tracking, including … automation, parsing, and document processing Agent frameworks - hands‐on experience with multi‐agent orchestration tools (e.g., Google ADK, StrandsAgents, LangGraph, CrewAI, or equivalents) Real world data sources – HER, claims, prescriptions, registries - and their pitfalls. AI-augmented development - effective use of agentic coding assistants (Copilot, Cursor, Claude Code) to accelerate ...

Computer Science, Data Science, Engineering, Informatics, or a related field.* Strong hands-on experience building and deploying AI/ML/DL/NLP/LLM systems in production environments.* Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI Codex, Claude Code).* Experience … Epic or Cerner).* Experience building commercial software products in regulated environments.* Publications or research experience in AI/ML/DL/NLP/LLM or biomedical informatics.* Startup or scale-up experience.## Perks and Benefits* Flexible working hours.* Benefits include private medical insurance, life insurance and travel cards. ...

like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML‐powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context‐appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre‐existing code … Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps ...

secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL … efficient training techniques. Experience fine‐tuning existing reasoning models for specific tasks and behaviours without degrading their reasoning capabilities. Experience with machine translation, multilingual NLP, or language quality estimation. Familiarity with inference and serving at scale (e.g. via vLLM, SGLang, TensorRT‐LLM, etc) and long‐context modelling. Publications ...

platforms. The role involves code development, deployment, and ongoing optimization to impact consumer experiences. The ideal candidate has solid experience in search technologies, NLP, and English proficiency, with a customer-focused approach and strong technical acumen. #J-18808-Ljbffr ...