1 to 25 of 143 Natural Language Processing Jobs in London

We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics 📍 Location: Nice (France) or London (UK) 🏢 Company: Scientific Beta 🔬 About Us A subsidiary of SGX Group, Scientific Beta is a leading provider of enhanced systematic equity strategies grounded in rigorous research. Its evidence-based indices integrating sustainability and financial goals enable global investors to make well-informed portfolio decisions … a key role in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in Natural Language Processing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at … instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information More ❯

We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics 📍 Location: Nice (France) or London (UK) 🏢 Company: Scientific Beta 🔬 About Us A subsidiary of SGX Group, Scientific Beta is a leading provider of enhanced systematic equity strategies grounded in rigorous research. Its evidence-based indices integrating sustainability and financial goals enable global investors to make well-informed portfolio decisions … a key role in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in Natural Language Processing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at … instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information More ❯

We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics 📍 Location: Nice (France) or London (UK) 🏢 Company: Scientific Beta 🔬 About Us A subsidiary of SGX Group, Scientific Beta is a leading provider of enhanced systematic equity strategies grounded in rigorous research. Its evidence-based indices integrating sustainability and financial goals enable global investors to make well-informed portfolio decisions … a key role in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in Natural Language Processing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at … instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information More ❯

We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics 📍 Location: Nice (France) or London (UK) 🏢 Company: Scientific Beta 🔬 About Us A subsidiary of SGX Group, Scientific Beta is a leading provider of enhanced systematic equity strategies grounded in rigorous research. Its evidence-based indices integrating sustainability and financial goals enable global investors to make well-informed portfolio decisions … a key role in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in Natural Language Processing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at … instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information More ❯

segmentation consultancy. We use data, insights, and proprietary technology to create customer-centric strategies that drive real business impact. We have a long history of innovation in machine learning, natural language processing, and generative AI. About STRAT7 We are part of STRAT7, a global strategic insight and customer analytics group. STRAT7 specializes in customer-centric growth, helping … volume of work, while AI and analysis of unstructured data are our fastest-growing areas. We seek a Senior Data Scientist skilled in cluster analysis, preferably with knowledge of natural language processing, to consult on our specialized projects involving advising, designing, conducting, and leading survey analytics projects. This role offers an exciting opportunity for someone eager to … etc. Beneficial Skills Experience with conjoint analysis and other pricing methods. Knowledge of GDPR and data compliance. Experience working with third-party data vendors and APIs. Some familiarity with NLP libraries. Other Information At STRAT7 Bonamy Finch, we foster a culture of excellence, collaboration, and mutual trust. We offer flexible, hybrid working options, a comprehensive benefits package, and a supportive More ❯

Sensory and Machine Learning Builder Services Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading speech and language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the … best-possible experience for our customers. As a Speech and Language Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. We are hiring in the area of speech recognition (ASR). BASIC QUALIFICATIONS MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning More ❯

the mission "delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden". We are developing an advanced system using Large Language Model (LLM) technologies to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences … surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine … processing, recommendation system, information retrieval - 2+ years experience in building machine learning or deep learning models for large scale customer facing product or features. - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) - Solid software development experience - Good written and verbal communication skills Amazon is an equal opportunity employer and does not More ❯

optimizing AI-powered customer service solutions Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning Serverless development experience including complex integrations with Amazon Lex, Lambda More ❯

s committed to transforming returns management while contributing to a more sustainable future. Key job responsibilities -Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to train/test/deploy … modeling techniques to power our ML models BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PREFERRED QUALIFICATIONS - Experience in building machine learning models … for business application - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree - Experience in building Computer Vision (CV) systems. Our inclusive culture empowers Amazonians to deliver the best results for More ❯

The Team The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in … their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact Design solutions utilizing natural language processing (NLP) models, including chat assistants and retrieval-augmented generation systems. Develop Large … Language Model (LLM) solutions that incorporate prompt engineering techniques, model fine-tuning, and alignment strategies. Evaluate NLP models using both human-supported and synthetic evaluation methods and metrics. Deploy NLP models while ensuring low latency, reliability, and scalability. Explore new methods for prompt engineering, model fine-tuning, optimization, document embeddings, and data chunking. Collaborate closely with product teams, business More ❯

learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist More ❯

We specialize in streamlining data-intensive workflows, driving digital transformation, and delivering intelligent automation solutions for enterprises worldwide. Our TotalAgility platform is at the forefront of revolutionizing intelligent document processing, workflow automation, and process orchestration. About This Role We are seeking a highly skilled and innovative AI Solutions Architect to design and implement cutting-edge AI-driven solutions using … Maintain a firm understanding of all primary Tungsten Automation solutions and offerings AI and ML Capabilities : Leverage AI and machine learning capabilities, including natural language processing (NLP), computer vision, and LLMs, to optimize document processing, data extraction, and decision-making workflows Programming and Development : Apply relevant programming skills (e.g., Python, Java, or .NET) to support solution … AI-driven automation, or a related field, with a focus on enterprise-scale implementations Deep AI expertise with technical understanding of AI/GAI technologies, including LLMs, machine learning, NLP, and computer vision, and their application in business automation Platform knowledge with strong technical knowledge of the TotalAgility platform or similar intelligent automation platforms Integration experience with expertise in using More ❯

pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More ❯

including: Clustering techniques (e.g., k-medoids, hierarchical clustering) Predictive modelling (e.g. Classification and Regression Trees (CART), Linear Regression, Random Forest, Gradient Boosted Models) Natural Language Processing (NLP) with a focus on social listening and topic modelling Integration of generative AI and LLMs in qualitative and survey research processes Inferences about subpopulations (Small Area Estimation (SAE), Multilevel Regression … with subject matter experts on policy but will be expected to quickly gain a basic understanding of new policy issues. You will combine advanced data science techniques (machine learning, NLP, data engineering) with robust quantitative research methods (survey analysis, causal inference, MRP) to produce insights that directly inform social policy. Leadership: You will be joining Britain's largest independent social … Computer Science, Statistics, etc.) or demonstrated experience through professional development, other learning, or Bachelor's degree with additional equivalent experience. Experience with practical application of clustering, predictive modelling, and NLP techniques, with familiarity with at least one major machine learning library (eg. Scikit-learn, statsmodels, spaCy, mlr). Proficiency in Python; knowledge of R or SQL is a plus. Familiarity More ❯

needs of an expanding customer base. Lead product roadmap initiatives that improve the accuracy, efficiency, and relevance customer screening. Collaborate with Technology teams to enhance automation, machine learning, and NLP (natural language processing) and generative AI capabilities. Develop and maintain strong relationships with customers, regulators, and industry partners to anticipate compliance challenges and evolving risk concerns. Capture … particularly in content accuracy, data integrity, and risk classification . Desirable Skills Knowledge of financial crime compliance, AML regulations, and KYC screening . Familiarity with AI-driven media monitoring, NLP, and automation technologies . Experience working with third-party data providers, content aggregators, or risk intelligence platforms . Proven track record to lead teams without formal authority. Experience in software More ❯

on the job, but prior experience is beneficial Experience with deploying Deep Learning models in production systems Experience with development and deployment of Natural Language Processing (NLP) applications Wide machine learning knowledge from linear regression through LLMs A basic understanding of the cyber threat landscapeandtechnical Indicators of Compromise (IOCs) What Makes Cloudflare Special? We're not just … accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at or via mail at 101 Townsend More ❯

an organisation's information landscape, turning data science into real world decision support. InformedDECISION, a first-of-its-kind Artificial Intelligence (AI) and Natural Language Processing (NLP) platform that allows organisations to make better, faster, more informed decisions. As Sales Executive, you will work with the Product Business Development Manager and Product Team, playing a vital role More ❯

a passion for solving problems using state-of-the-art machine learning, natural language processing and generative AI. About the Role: Applied Scientists are experts in NLP and Machine Learning, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage model training and evaluation design, graph-based AI, and information retrieval … using quick iterations guided by customers' needs. Provide input on project objectives and goals. Communicate effectively with stakeholders. Partner with Engineering to ensure well-managed software delivery. Be an NLP expert with experience in the end-to-end AI development life cycle. About You: You're a fit for the role of Applied Scientist if your background includes: PhD in … a relevant discipline or Master's plus a comparable level of experience 3+ years of hands-on industry experience building NLP/ML/Knowledge Graph/GenAI systems for commercial applications Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks) Experience writing production code Outstanding communication, problem More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

our customers' all shopping needs. We build platforms, systems and tools to create and take advantage of datasets that contains billions of records, use the latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster-computing technologies such as MapReduce and Spark to process … the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering, Natural Language processing, Fuzzy matching and Image processing at a massive scale. We are looking for a Manager, Applied Science to tackle ambiguous problems in the areas … deliver solutions that will have an impact to both Amazon top-line & bottom line. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer More ❯

mining, predictive analytics, and intelligent decision support systems, while also incorporating complementary AI capabilities including voice technologies (IVR, voice-to-text), computer vision (image and video-based diagnostics), and natural language processing where they provide strategic value. Beyond our customer-facing products, you'll drive internal operational excellence by developing AI-powered tools that enhance efficiency across …/ML solutions in enterprise software environments, with a proven track record of launching automation solutions and AI features in complex business contexts Strong understanding of machine learning algorithms, NLP, and LLMs with demonstrated business application expertise Experience developing AI-powered automation systems, intelligent assistants/copilots, RAG systems, voice interfaces, and computer vision applications (image and video processing More ❯

team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯