26 to 50 of 270 Natural Language Processing Jobs in London

language models (LLMs) and traditional machine learning algorithms . The ideal candidate will have expertise in AI, natural language processing (NLP), and Python programming , with hands-on experience in generative AI, cloud deployment, and CI/CD pipelines . This role requires proficiency in Streamlit , knowledge … Azure cloud services . Key Responsibilities AI & Machine Learning Development: Design, implement, and optimize AI-powered document generation systems using LLMs and ML models. NLP & Data Processing: Develop NLP-driven applications for text generation, summarization, and extraction. Cloud Deployment & Infrastructure: Deploy AI models and applications on Azure , ensuring scalability … deployment. Collaboration & Best Practices: Work closely with cross-functional teams to integrate AI solutions into business workflows. Required Qualifications & Skills Strong experience in AI, NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM fine More ❯

are looking to hire a Senior AI Engineer focused on building Data Agents . This role will also involve developing tools to transform plain language questions into actionable insights, including SQL query generation, entity matching, and data visualisations. If you have a passion for leveraging generative models and are … data applications. We offer a competitive salary and an environment that fosters continuous learning and innovation. Key Responsibilities Develop Data Agents capable of interpreting natural language questions into SQL queries, data insights, and visualisations. Create domain-agnostic tools to support the development of Data Agents (e.g., entity matching … algorithms). Implement and fine-tune large language models (LLMs) for domain-specific data analysis tasks. Collaborate with cross-functional teams to integrate Data Agents into our Data and AI Operating System. Stay current with the latest AI research and apply novel techniques to solve complex problems. Requirements MSc More ❯

and solutions to complex business problems. This role requires proficiency in the Databricks ecosystem, as well as experience in working with large-scale data processing and cloud environments such as AWS, Azure, or Google Cloud. Responsibilities: Should have 5+ years of experience as a Data Scientist. Develop and implement … Cloud) to design and implement data pipelines and storage solutions. Design and optimize SQL queries for large-scale data analysis. Utilize Databricks for data processing, analytics, and collaborating with team members to build scalable solutions. Leverage LLM (Large Language Models) for AI-driven projects, improving business processes and … computing frameworks. Solid understanding of machine learning algorithms, data preprocessing, model tuning, and evaluation. Experience in working with LLM (Large Language Models) and NLP (Natural Language Processing) tasks is a plus. Strong analytical and problem-solving skills with the ability to work independently and in a More ❯

and solutions to complex business problems. This role requires proficiency in the Databricks ecosystem, as well as experience in working with large-scale data processing and cloud environments such as AWS, Azure, or Google Cloud. Responsibilities: Should have 5+ years of experience as a Data Scientist. Develop and implement … Cloud) to design and implement data pipelines and storage solutions. Design and optimize SQL queries for large-scale data analysis. Utilize Databricks for data processing, analytics, and collaborating with team members to build scalable solutions. Leverage LLM (Large Language Models) for AI-driven projects, improving business processes and … computing frameworks. Solid understanding of machine learning algorithms, data preprocessing, model tuning, and evaluation. Experience in working with LLM (Large Language Models) and NLP (Natural Language Processing) tasks is a plus. Strong analytical and problem-solving skills with the ability to work independently and in a More ❯

policies • Annual performance-based bonus • Budget for personal development and certifications About the Role: Our finance client is seeking a talented Machine Learning Engineer NLP Specialist to join their dynamic AI team. You will play a key role in designing and implementing advanced Natural Language Processing (NLP … complex data challenges in an environment where innovation is encouraged, this role is for you. Key Responsibilities: • Design and implement state-of-the-art NLP models for tasks such as entity extraction, text summarisation, and semantic understanding. • Process and analyse diverse datasets, including structured text, tables, and images, to extract … Explore and implement advanced techniques, such as Retrieval-Augmented Generation (RAG), to enhance AI capabilities. • Conduct experiments to measure and improve the performance of NLP models. • Build custom language models tailored to specific industry requirements. What We're Looking For: • Proven experience with NLP frameworks such as Hugging Face More ❯

skills, with the ability to communicate complex findings effectively. Desirable Skills Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg More ❯

skills, with the ability to communicate complex findings effectively. Desirable Skills Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg More ❯

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 … 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 More ❯

and automation, helping our customers drive innovation and boost productivity. The AI team at Productboard oversees this critically important set of AI platform capabilities, processing customer feedback from various sources and helping Product managers to better understand their customers at every step of the product development lifecycle. We are … B2B SaaS. Hands-on experience and strong track record of building complex AI/ML products. Experience with natural language processing (NLP) techniques, large language models, or other AI methods for text-based and structured data. Strong understanding of data pipelines, data modeling, and MLOps. Experience More ❯

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to More ❯

Senior AI Engineer - Python, AWS, NLP | £100,000 - £130,000 | Remote (UK-Based) 167 Solutions Ltd is hiring on behalf of a global organisation at the forefront of artificial intelligence innovation. We are seeking a highly skilled Senior AI Engineer with expertise in Python, AWS, Natural Language Processing (NLP), and advanced AI technologies to contribute to the development and deployment of cutting-edge AI solutions. Role Overview As a Senior AI Engineer , you will play a key role in designing and implementing AI-driven solutions, leveraging Large Language Models (LLMs), Generative AI, Open-Source AI tools … ability to work collaboratively within a global AI-focused team. Key Responsibilities Develop and optimise AI and machine learning models, with a focus on NLP and Generative AI . Design, implement, and deploy scalable AI solutions using AWS services , including Athena, SageMaker, and Lambda. Work with LLMs and Open-Source More ❯

learning (ML) technology, we strive to predict and resolve customer issues through self-service and automation solutions. The CET team leads AI and Large Language Models (LLM)-driven customer experience transformation using task-oriented dialogue systems. We develop multi-modal, multi-turn, goal-oriented dialog systems that can handle … LLM-based chatbots and conversational AI systems for customer service applications. - Design and implement state-of-the-art Natural Language Processing (NLP) and ML models for tasks such as language understanding, dialogue management, and response generation. - Collaborate with cross-functional teams, including data scientists, software engineers … to measure the performance of the developed models and systems, and identify areas for improvement. - Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions. - Collaborate with internal and external research More ❯

deployment. Experience with common feature engineering techniques and machine learning algorithms for Supervised and Unsupervised Learning. Experience with Natural Language Processing (NLP and NLU). Experience using Generative AI systems (e.g. ChatGPT) and best practices (e.g. Prompt Engineering). Understanding the key concepts on how to apply … Desired Qualifications: Masters or PhD in Machine Learning/Data Mining/Statistics. Experience in building advanced Information Retrieval or Question Answering systems using NLP and Generative AI techniques (e.g. RAG and GraphRAG). Experience with construction and integration of Knowledge Graphs. Collaboration is our superpower, diversity unites us, and More ❯

feature engineering and machine learning algorithms for Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Experience with Natural Language Processing (NLP and NLU). Experience with Generative AI systems (e.g., ChatGPT) and prompt engineering techniques. Understanding of applying Generative AI in RAG solutions (embeddings, dense search … and collaboratively. Desired Qualifications: Masters or PhD in Machine Learning, Data Mining, or Statistics. Experience developing advanced Information Retrieval or Question Answering systems using NLP and Generative AI (e.g., RAG, GraphRAG). Experience with Knowledge Graph construction and integration. We value collaboration, diversity, and excellence. We foster an inclusive environment More ❯

/deliverables: These are the key things that you will be responsible for within the Senior Data Analyst role: Lead and oversee the collection, processing, and analysis of intelligence data to identify patterns, trends, and relationships that contribute to actionable intelligence. Collaborate with intelligence and security professionals across the … SQL and programming languages such as Python or R for data manipulation and analysis, ideally with expertise in Natural Language Processing (NLP). Exceptional problem-solving abilities, attention to detail, and a curious, analytical mindset. Highly desirable: Familiar with AWS, Snowflake A background in intelligence or quantitative More ❯

an industry setting? Thomson Reuters Labsin the USA is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and … for Thomson Reuters' Core Research Products, including Westlaw, Practical Law, and Checkpoint. About the Role: Senior Applied Scientists are experts in Machine Learning/NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation … includes: PhD in a relevant discipline or Master's plus a comparable level of experience 5+ years of hands-on experience building IR/NLP systems for commercial applications Experience writing production code and ensuring well-managed software delivery Demonstrable experience translating complex problems into successful AI applications Outstanding communication More ❯

of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build … of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidates with strong technical … experiences and a passion for building scientifically driven solutions in a fast-paced environment. This Senior Applied Scientist should have a good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage More ❯

will be an expert in research areas such as artificial intelligence, deep learning, generative AI, machine learning , computer vision, reinforcement learning, information retrieval, and natural language processing. Autodesk's AI Lab is active in the wider research community, targeting publications at CVPR, NeurIPS , ICML , ICLR , SIGGRAPH, and other … TensorFlow , JAX or similar frameworks Strong coding abilities in Python and/or C++ Preferred Qualifications: 2D & 3D Generative AI Reinforcement Learning LLMs and Natural Language Processing Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry , discrete geometry , functional mapping, geometric deep learning, graph neural More ❯

business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology More ❯

Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯

a commercial environment. Good programming skills in Python. Experience in building and evaluating machine learning models. Experience with Natural Language Processing (NLP) techniques. Experience working with real-world datasets. Solid understanding of fundamental concepts of data science. Experience working with Numpy and PyTorch. Experience working with cloud More ❯

a Big Data Expert with 2 to 5 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and More ❯

to 5 years of experience as a Big Data Scientist. You will have knowledge and experience in Natural Language Processing (NLP) and will understand and analyze large datasets to discover new insights. You will work in a multi-disciplinary team within a highly technical and complex environment. More ❯

of experience working in high-growth startup environments or top-tier engineering teams. Familiarity with machine learning and natural language processing (NLP). A BS in Computer Science or equivalent experience. Ideal Traits Ability to thrive in a fast-paced environment and juggle multiple projects. Strong communication More ❯

analysis. Key Responsibilities: Design, develop, and deploy DocAI models using Vertex AI and Gemini LLM for extracting data and retrieving insights Migrate existing document processing solutions from legacy systems to the Vertex AI platform. Optimize DocAI models for accuracy, performance, and scalability. Collaborate with subject matter experts (SMEs) to … and integrate DocAI solutions into existing workflows. Stay up to date on the latest advancements in DocAI and Natural Language Processing (NLP). Required Skills: Strong proficiency in Python programming. Experience in designing and deploying AI models using Vertex AI and Gemini LLM. Ability to optimize models More ❯