401 to 425 of 465 Natural Language Processing Jobs in the UK

freedom to explore new ideas. To succeed in this role, you will be responsible for:Research, design, and implement advanced AI algorithms (ML, DL, NLP, and beyond) to solve complex problems.Leading the development and implementation of advanced analytics solutions, including predictive modelling, machine learning and statistical analysis to solve complex … effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience. (Required).WE VALUE YOUR IMPACTAt Santander, your contribution matters. We recognise the difference you make every day, and we make ...

Abilities: Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science … Azure Profile Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data ...

Lead Applied Scientist, Search - NLP/GenAIThis position is based in either Zug, Switzerland or London, UK. Want to use your experience of building search-led AI solutions to enhance our leading products in the tax, legal and professional services industries Document understanding is a foundational intelligence layer that powers … align document understanding capabilities with diverse business needs including next-generation search and deep legal researchMentor and coach team members with varied ML/NLP abilities, building technical capability across the organizationAbout YouYou're a fit for the role of Lead Applied Scientist if you have:PhD in Computer Science ...

Requirements:* Proven experience in AI/ML/Computer Vision R&D (e.g. detection, classification, segmentation, forward/backward projection, measurement, reinforcement learning, NLP, also including Large Language Models).* Significant experience conceiving novel applications of AI/ML techniques, particularly adapting and applying academic research, and developing ...

managers, hedge funds, index providers and sell-side banks. As an engineer on the Data Products team you'll own the pipelines that ingest NLP and financial data from public equities around the world to produce the Theia Insights Industry Classification (TIIC) and the datasets behind our Thematic Factor Risk … major theme and micro theme, by extracting information from filings and web content, and assigning thematic exposures based on this information. Run large-scale NLP and LLM inference (entity extraction, classification, knowledge graph construction) over company documents, with cost- and throughput-aware batch execution. Ingest market data and publish datasets ...

product organizationsExperience in financial services with exposure to capital markets, corporate banking, or payments.Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)Bachelor’s degree in computer science, Statistics, Engineering or related fieldsPreferred Qualifications, Capabilities, and SkillsExperience in financial services with exposure … capital markets, corporate banking, or payments.Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)Bachelor’s degree in computer science, Statistics, Engineering or related fieldsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

Experience in financial services with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields Preferred Qualifications, Capabilities, and Skills Experience in financial services … with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields ABOUT US J.P. Morgan is a global leader in financial services, providing strategic ...

values trust, respect, collaboration, agility, and quality.About the RoleIn this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … customer needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation.ResponsibilitiesSet AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities.Lead and develop high-performing teams by coaching talent, setting ...

LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings. Building data processing and inference pipelines for the models we develop. Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal … with the ability to translate complex technical concepts to different audiences, both verbally and in writing. Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them. Established data-driven approach for ML system development. Excitement about working ...

/ML solutions in real-world environments. Strong Python expertise with experience building production-grade AI solutions. Strong knowledge of Generative AI, LLMs, NLP, and Agentic AI. Experience with AWS, Azure, Google Cloud, and CI/CD practices. Excellent customer-facing, communication, analytical, and problem-solving skills. Main Responsibilities: Meet … Design and develop GenAI and AI/ML solutions, taking ideas from POC through development, scaling, and into live production. Build and deploy LLM, NLP, chatbot, and Agentic AI solutions using Python and modern AI/cloud technologies. Implement CI/CD pipelines and engineering best practices to ensure ...

Lead Technologist to join our rapidly expanding Data and Decision Support Capability.The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. The latter … candidates with experience in one or more of the following domains:AI/ML for imagery including applied to remote sensing applications.Reinforcement learning.Natural Language Processing.Large Language Models.Knowledge graphs and graph-based neural nets.AI/ML for RF and EW, radar, sonar, acoustics.AutonomyDesirable Knowledge, Skills and Experience:Evidence ...

stakeholders and sharing knowledge with team members as they are digging into technical questions. This role spans a number of disciplines within the ML, NLP, and AI disciplines and is not just another LLM-wrapper position. If your experience is solely around using LLMs within the AI space, this role … architectures to system design and evaluation, as well as an understanding of the current state of the art in generative systems. You will bridge NLP pipelines, LLM-based reasoning, and knowledge graph grounding to produce outputs that are accurate, explainable, and suitable for use in regulated healthcare environments. The role ...

data principles for structuring scientific contentWorking knowledge of AI capabilities related to content analysis, such as large language models (LLMs), semantic technologies, and NLP toolsExperience in extracting insights from large datasets, generating summaries, trends, and visualizationsStrong understanding of data governance, copyright, licensing, and responsible AI useExcellent collaboration, communication … advising on AI-driven content toolsKnowledge of data visualization, knowledge graphs, and ontology managementFamiliarity with Python, AI frameworks, and prompt engineering techniques for NLP applicationsExperience with scientific communication tools and knowledge mappingPreferred Education and Experience:Bachelor’s or Master’s degree in Information Science, Library Science, Data Science, Bioinformatics ...

Description Lead Applied Scientist, Search - NLP/GenAI This position is based in either Zug, Switzerland or London, UK. Want to use your experience of building search-led AI solutions to enhance our leading products in the tax, legal and professional services industries? Document understanding is a foundational intelligence layer … document understanding capabilities with diverse business needs including next-generation search and deep legal research Mentor and coach team members with varied ML/NLP abilities, building technical capability across the organization About You You're a fit for the role of Lead Applied Scientist if you have ...

respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent, setting ...

respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent, setting ...

/ML – expertise in SW products enabled via one or more of the following technologies: artificial intelligence/machine learning, medical image analysis, NLP, big data, etc. Other Competencies (Behavioural, Leadership) Strategic mindset - Seeing ahead to future possibilities and translating them into breakthrough strategies. Cultivates innovation - Creating new and better … ownership from concept to broad launch in the healthcare industry MS, or PhD or MBA or relevant advanced degree Additional fluency in a European Language (like German, Spanish, etc.) or Japanese is an asset. #J-18808-Ljbffr ...

first three engineers in a dedicated lab, working alongside the Tech Lead, Design Lead and Product Lead. What You’ll DoFine-tune large language models (LLMs) for style and tone alignment with The Economist’s editorial voiceDesign, curate, and manage datasets used for fine-tuning, including versioning and annotation … develop novel evaluation metrics that capture the nuances of The Economist's tone and styleSpecific Skills and Expertise3+ years experience building with LLMs or NLP pipelines (ideally hands-on with OpenAI, Claude, Cohere, Gemini, Mistral, HuggingFace)Experience with supervised fine-tuning (SFT), prompt tuning, or instruction tuning on proprietary datasetsStrong ...

working on challenging projects across Defence, National Security and other technically complex environments . This is an opportunity to work across areas including LLMs, NLP, Computer Vision and Reinforcement Learning , depending on your experience. What you'll be doing Researching and evaluating state-of-the-art AI/ML techniques. … genuine interest in experimenting with new technologies and solving problems where the solution isn't immediately obvious. Experience in one or more of LLMs, NLP, Computer Vision or Reinforcement Learning . Defence or National Security experience is advantageous but not essential. We're equally interested in candidates from other technically ...

Company DescriptionWe’reCheckout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where ...

Senior NLP Engineer UK remote The Company They are a fast-growing technology business specialising in AI-driven analysis of communication data. Their platform is designed for high-volume, real-time environments where accuracy and scalability are critical. The organisation works at the intersection of AI, data, and compliance, with … will join a collaborative, distributed team with regular opportunities to connect in person across global locations. The Role Own end-to-end delivery of NLP and AI features, from data ingestion through to deployment and optimisation Build pipelines to process and analyse multimodal data including audio, video, text, and images ...

JPMorgan Chase is seeking an NLP/LLM Scientist to lead applied AI initiatives within the Machine Learning Center of Excellence. The role focuses on deploying advanced NLP methods, building large‐scale models, and driving production ready solutions through collaboration with business and technology teams. The candidate should have ...

Large Language Model (LLM) Technology ArchitectCareer Level: Associate Manager/SpecialistLocation: LondonYOU ARE As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands-on role — you will … using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical ...

such as PyTorch , ensuring scalability and reliability in high-traffic environments Build and deploy production AI Agents using raw and fine-tuned foundational Large Language Models (LLMs), along with sub-agents, tools, and MCP integrationsArchitect end-to-end ML pipelines, integrating data processing (e.g. Spark, Airflow) with model … proficiency in Python and at least one major ML framework (e.g. PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking models, or NLP Expertise in prompting and fine-tuning Large Language Models (LLMs) and building production AI AgentsProven experience designing scalable data and ML pipelines using tools ...

hiring an AI Engineer to develop and evaluate AI agents and ML models in NLP for medical coding and billing, with direct collaboration to impact revenue cycle management. We expect 6+ years in production ML/AI, strong NLP with TensorFlow, PyTorch, scikit-learn, and transformers, plus experience with LLMs ...