251 to 275 of 793 Natural Language Processing Jobs in London

guidance Excellent communication skills for explaining technical concepts to non-technical audiences Experience in team leadership and mentoring within data science Proven ability to build and scale ML/NLP solutions across platforms Familiarity with Tableau, Power BI, and/or JavaScript-based visualization tools Passion for creativity, innovation, and a self-starting mindset Additional Information Saatchi & Saatchi has fantastic More ❯

storage, hosting, tool technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java More ❯

storage, hosting, tool technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java More ❯

storage, hosting, tool technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java More ❯

Research Scientist Intern, Large Language Models (PhD) We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning … four (24) weeks long and we have various start dates throughout the year. Responsibilities Perform research to advance the science and technology of intelligent machines. Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. Analyze and improve efficiency, scalability, and stability of various deployed systems. Collaborate with researchers and cross-functional … Language Processing, Speech, Multimodal Reasoning & Retrieval. Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Experience with training deep neural networks for key NLP tasks. Experience with interpreting deep neural networks mechanistically, correlating their observable behavior with properties of model parameters and activations. Demonstrated software engineer experience via an internship, work experience, coding competitions More ❯

Research Scientist Intern, Large Language Models (PhD) We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning … four (24) weeks long and we have various start dates throughout the year. Responsibilities Perform research to advance the science and technology of intelligent machines. Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. Analyze and improve efficiency, scalability, and stability of various deployed systems. Collaborate with researchers and cross-functional … Language Processing, Speech, Multimodal Reasoning & Retrieval. Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Experience with training deep neural networks for key NLP tasks. Experience with interpreting deep neural networks mechanistically, correlating their observable behavior with properties of model parameters and activations. Demonstrated software engineer experience via an internship, work experience, coding competitions More ❯

forefront of applied research in an industry setting? Thomson Reuters Labs in London is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. What does do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval … work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. About you You’re a fit for the role of Applied Scientist, NLP if your background includes: PhD in a relevant discipline or Master’s plus a comparable level of experience. At least one year industry experience building IR/NLP/ML … systems Solid software engineering skills for prototyping Outstanding communication and data analysis skills Preferred qualifications 5+ years practical experience building IR, ML or NLP systems in academia or industry Experience designing and implementing solutions with large language models Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar. Advanced proficiency in Python, Java, or Scala Experience writing More ❯

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Job Description NLP/LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites applications for a role focused on applying sophisticated machine learning methods to complex tasks such as natural … Research and explore new machine learning methods through independent study, industry conferences, experimentation, and knowledge sharing. Develop state-of-the-art machine learning models for real-world problems in NLP, speech recognition, analytics, time-series prediction, or recommendation systems. Collaborate with teams across Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production. Lead firm … wide initiatives by developing large-scale frameworks to accelerate machine learning application across various business areas. Required qualifications, capabilities, and skills Strong background in NLP, speech recognition, analytics, personalization/recommendation, with hands-on experience and understanding of machine learning and deep learning methods. PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science More ❯

Applied Scientist - GenAI, International Seller Growth Job ID: Services LLC Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the e-commerce space? If so, Amazon's … analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces. - Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems. - Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and … speech products or government speech projects) PREFERRED QUALIFICATIONS - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF - Experience in NLP, generative AI, LLM, or DL, RL. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our More ❯

large language model (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely with data scientists, software engineers, and product managers to integrate advanced NLP techniques into our products. What You'll Do Innovative NLP Research: Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product … RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross-Functional Collaboration: Work closely with cross-functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi … agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes). Collaboration & Communication More ❯

Intelligence, Data Science, or a related field. Proven experience delivering AI projects incorporating: Machine Learning (ML) : Implementing predictive analytics and risk assessment models. Natural Language Processing (NLP) : Enhancing data extraction and analysis from unstructured text. Robotic Process Automation (RPA) : Streamlining repetitive tasks and improving operational efficiency. AI-Driven Dashboards : Providing real-time insights and analytics through advanced … data visualization tools Deep understanding of AI technologies, including machine learning, natural language processing, and data analytics. Excellent leadership and team management abilities, with a passion for mentoring and developing talent. Exceptional communication and interpersonal skills, with the ability to articulate complex AI concepts to non-technical stakeholders. Why Protecht? At Protecht, a positive and super friendly More ❯

too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! Key job responsibilities Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to train/test/deploy … categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models. Minimum Qualifications 2+ years of building models for business application experience. PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience. Experience … popular deep learning frameworks such as MxNet and Tensor Flow. Experience building machine learning models or developing algorithms for business application. Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects). Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms. Experience More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … learning tools and techniques. What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … learning tools and techniques. What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

Collaborate with product, engineering, and data teams to identify use cases, develop models, and integrate into our core platform Experiment with and apply state-of-the-art techniques in NLP, time series, and anomaly detection Own model evaluation, explainability, and monitoring frameworks in production Stay up to date with developments in the ML/AI ecosystem and bring fresh ideas … SageMaker or Vertex AI Proficiency in SQL and working knowledge of distributed computing tools like Spark or Dask Nice to Have: Experience with natural language processing (NLP) e.g., using LLMs, transformers, text classification Familiarity with Graph ML (e.g., for customer network analysis or fraud detection) Exposure to finance, credit risk modelling , or regulated environments Strong software engineering More ❯

Collaborate with product, engineering, and data teams to identify use cases, develop models, and integrate into our core platform Experiment with and apply state-of-the-art techniques in NLP, time series, and anomaly detection Own model evaluation, explainability, and monitoring frameworks in production Stay up to date with developments in the ML/AI ecosystem and bring fresh ideas … SageMaker or Vertex AI Proficiency in SQL and working knowledge of distributed computing tools like Spark or Dask Nice to Have: Experience with natural language processing (NLP) e.g., using LLMs, transformers, text classification Familiarity with Graph ML (e.g., for customer network analysis or fraud detection) Exposure to finance, credit risk modelling , or regulated environments Strong software engineering More ❯

degree in Computer Science, AI, Engineering, or a related field. · Extensive experience with Generative AI technologies, including large language models (LLMs) and natural language processing (NLP). · Familiarity with cloud platforms (AWS, Azure, GCP) and distributed systems. · Experience in both SaaS and enterprise environments. · Strong leadership skills with a track record of developing high-performing engineering More ❯

degree in Computer Science, AI, Engineering, or a related field. · Extensive experience with Generative AI technologies, including large language models (LLMs) and natural language processing (NLP). · Familiarity with cloud platforms (AWS, Azure, GCP) and distributed systems. · Experience in both SaaS and enterprise environments. · Strong leadership skills with a track record of developing high-performing engineering More ❯

data they need to conduct high quality research. Build models to turn raw clinical data into high quality research variables, drawing on your knowledge of LLMs, traditional ML, and NLP techniques to determine the right methods to use for a given problem. Work with quantitative scientists and oncologists to validate that your models can be used to generate sound scientific … Work cross-functionally with software engineers to productionize, scale, and monitor your models. Who You Are You're a product-focused data scientist, with experience in leveraging ML and NLP to solve real-world problems. You're excited by the prospect of rolling up your sleeves to tackle meaningful problems each and every day. You’re a kind, passionate and … and values the chance to make an important impact. You have 3+ years of relevant working experience in a technical capacity, with a focus on ML. Prior experience with NLP and LLMs is strongly preferred. You have a strong background in applying ML to solve real-world problems and a solid grasp of the underlying statistical fundamentals of ML. You More ❯

Signal is looking for a specialist in Information Retrieval, Natural Language Processing or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a feed of information based on very specific and complex requirements (e.g. "All the news related to IPOs … of European technology companies"). We are building this technology using cutting-edge algorithms for different information processing tasks in collaboration with leading universities. The next steps in the business will focus on how allows users to discover new information by navigating through all our information and automatically generating actionable insight from it. The successful candidate will join our … people from diverse functional backgrounds (mainly developers and researchers) that work closely together to bring this project forward. We combine technology from several research fields, including machine learning; natural language processing; and information retrieval. We also work in close collaboration with several universities and we encourage the publication of research results from the team in academic conferences. More ❯

roles. Deep expertise in: Machine Learning and Deep Learning frameworks (e.g., TensorFlow, PyTorch). Robotic Operating Systems (e.g., ROS, ROS2). Computer Vision, Natural Language Processing (NLP), and Reinforcement Learning. Motion planning, sensor fusion, and control algorithms for humanoid robots. Proficiency in Python, C++, and real-time systems integration. Experience deploying and scaling AI-driven systems in More ❯

development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions. Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments. Be a Team … Have experience integrating Machine Learning solutions into production-grade software and have an understanding of ModelOps and MLOps principles Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and translate between language and methodologies used both in … research and engineering fields Hands-on experience in other programming language/scripting language and development stack (Java, Rust, Scala, Typescript, etc.) What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering More ❯

understanding of Agile development, continuous delivery, and lean team dynamics. People-first leadership style with a track record of mentoring and developing high-performing teams. Exposure to machine learning, NLP, or financial data products is highly desirable. Ability to operate in ambiguity, balancing rapid execution with strategic long-term thinking. About the Company Permutable AI is a fast-growing, deep … world’s leading financial institutions - hedge funds, asset managers, investment banks, and commodity traders - with real-time insights that drive smarter, faster decision-making. Our platform leverages cutting-edge natural language processing and large language models to transform global news and unstructured data into structured, actionable intelligence across commodities, macroeconomics, currencies, and digital assets. We’re More ❯

Collaborate with product, engineering, and data teams to identify use cases, develop models, and integrate into our core platform Experiment with and apply state-of-the-art techniques in NLP, time series, and anomaly detection Own model evaluation, explainability, and monitoring frameworks in production Stay up to date with developments in the ML/AI ecosystem and bring fresh ideas … SageMaker or Vertex AI Proficiency in SQL and working knowledge of distributed computing tools like Spark or Dask Nice to Have: Experience with natural language processing (NLP) e.g., using LLMs, transformers, text classification Familiarity with Graph ML (e.g., for customer network analysis or fraud detection) Exposure to finance, credit risk modelling , or regulated environments Strong software engineering More ❯

degree in Computer Science, AI, Engineering, or a related field. · Extensive experience with Generative AI technologies, including large language models (LLMs) and natural language processing (NLP). · Familiarity with cloud platforms (AWS, Azure, GCP) and distributed systems. · Experience in both SaaS and enterprise environments. · Strong leadership skills with a track record of developing high-performing engineering More ❯