326 to 350 of 794 Natural Language Processing Jobs in London

ex-Palantir and ex-Open AI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, Generative AI, and reinforcement learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Full Stack Engineers who are passionate about using technology to solve complex More ❯

that improve our users’ financial health. Taking the initiative to propose & lead technical work towards problems that were previously unknown or poorly understood. Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state-of-the-art techniques and communicating the team’s successes at the company level & beyond. Mentoring & advising colleagues on their choices of models More ❯

risk management, or business continuity within financial services or regulated environments. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, NLP, and AI algorithms. Knowledge of model lifecycle management: training, validation, deployment, and monitoring. Ability to assess and mitigate risks like model drift, bias, and explainability issues. Familiarity with resilience frameworks More ❯

AI & Machine Learning Development: Work directly on our proprietary Render platform, contributing to the AI algorithms that allow us to outperform the market in loan performance (e.g, pricing optimisation, NLP for transaction classification, risk scoring) Open Banking Integration: Build and enhance real-time financial data analysis systems that process millions of transactions to assess creditworthiness Data Engineering: Design and implement More ❯

quality, maintainable, well-documented, and tested code, adhering to software engineering best practices. Design, implement, and deploy production-grade AI/ML models to address various platform needs (including NLP and OCR). Optimise AI models and associated systems for performance, scalability, and cost-effectiveness in a production environment. Implement and manage the infrastructure for MLOps, including fine-tuning, deployment More ❯

experimenting, iterating, and shaping the future of AI in a collaborative, hands-on environment. Requirements Required Qualifications 4+ years of product management or technical leadership in Machine Learning or NLP 2+ years of hands-on experience with data analysis, model evaluation, or AI/ML system optimization Experience defining AI performance benchmarks and success metrics Bachelor's degree in Computer More ❯

statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯

stakeholder engagement skills Desirable: • TOGAF or other enterprise architecture certification • Experience deploying AI solutions at scale in industries such as finance, healthcare or retail • Understanding of GenAI (e.g. LLMs), NLP, computer vision or reinforcement learning • Experience with containerisation, orchestration (e.g., Docker, Kubernetes) and CI/CD for ML #CF-1 Skills: Leadership What you can expect from us: Together, as More ❯

to contain the experimentation and focus until meaningful results In terms of skills we're looking for a candidate with one or more of: Python A flare for visualisations NLP Big data architectures Spark ML Knowledge of novel DNN architectures GANs ML Vision About Kortical Just as every company is now a tech company, they will also have to be More ❯

and is based at Centerprise's offices in Basingstoke. DUTIES OF THE POST The duties of the post will include: Transforming Centerprise's in-house cybersecurity software using Large Language Models (LLMs). Evaluating open and closed LLMs for Centerprise's requirement and selecting the most commercially beneficial one Using LLMs for text simplification, text classification and contextual instruction … fields. MSc in Computer Science, Data Science, AI, or a similar field, or relevant industrial experience. Strong programming skills. Knowledge and expertise in Natural Language Processing (NLP). Experience in Python and relevant NLP libraries. Experience with modern deep learning frameworks (e.g., PyTorch). Experience in using Large Language Models in real-world use cases. Experience More ❯

about working at the forefront of applied research in an industry setting? in Londonis seeking scientists with a passion for solving problems using state-of-the-art Information Retrieval, Natural Language Processing and Machine Learning. What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research … help lead the way in the adoption of AI across the enterprise. About you You’re a fit for the role of Sr Applied Scientist with a focus on NLP and IR if your background includes: PhD in a relevant discipline or Master with a comparable level of experience At least 5 years practical, relevant experience building NLP/IR … as a technical leader, translating complex business problems into projects with clearly defined scope, coordinating and guiding the work of others 8 years practical experience building IR, ML or NLP systems in academia or industry Demonstrated ability to translate cutting edge research into working prototypes and experience experimenting with novel IR or NLP models to solve real-world problems Experience More ❯

Role: Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition to the world of financial predication through the prism of machine learning. The More ❯

Direct message the job poster from Cornucopia IT Resourcing Data Scientist – AI & NLP Innovation London (Hybrid) Our client is a dynamic investment firm using AI to reshape financial insight Are you a data scientist passionate about applying NLP, LLMs, and generative AI to real-world problems? Join a forward-thinking investment management firm based in London’s West End that … working on high-impact projects in a collaborative, inclusive, and mission-driven environment. Why Join? Be part of a newly established, fast-growing AI team Work on cutting-edge NLP and generative AI tools (e.g., RAG, open-source LLMs) Help automate and modernise business processes across a respected financial organisation Flexible, inclusive culture with purpose-driven values around environmental and … social responsibility What You'll Do: Build and deploy AI applications that improve efficiency and deliver business value Apply NLP, LLMs, and automation to unlock insights from complex, unstructured data Work across departments to identify and deliver impactful AI use cases Evaluate emerging models and AI tools for real-world adoption Collaborate closely with the Head of Data Science to More ❯

Develop and implement data science strategies Leverage advanced analytics and machine learning techniques Utilize Python for data science and analytics Work with SQL and Azure environments Apply expertise in NLP (Natural Language Processing) and relevant frameworks/libraries Collaborate on cross-functional projects Qualifications: Proven experience in a leadership or mentoring role within data science Strong proficiency … in Python, SQL, and Azure Hands-on experience with NLP frameworks and libraries Track record of successful collaboration on data science projects If you're looking for a fully remote opportunity where you can make a significant impact and contribute to the company's success, we'd love to hear from you! #J-18808-Ljbffr More ❯

and differences. • Perform linguistic analyses for Responsible AI (toxic language, hate speech, gender bias and other cultural biases) in massively multilingual settings. • Conduct linguistic literature reviews on various NLP-adjacent topics, and summarize findings. • Analyse the quality of vendor deliveries, identify error patterns, and provide actionable feedback. • Provide information or guidance relative to any aspect of linguistic knowledge (typology … Must have strong written and spoken English communication skills, especially business and research communication. • Must be at a level of native or near-native proficiency (CEFRL C2) in a language other than English. • Working knowledge in additional languages is a plus. Proficiency in a low-resource or under-represented language is valued. • Must be able to code in … Must have some experience with applying basic Natural Language Processing techniques. Experience: • Years of experience: 0-3 • Experience working cross-functionally • Experience collaborating with machine learning, NLP, or software engineers, or data scientists • Experience contributing to research papers #J-18808-Ljbffr More ❯

Senior AI Engineer - Generative AI and Search - Artificial Intelligence Bloomberg's Engineering AI department has 350+ AI practitioners building innovative products that leverage technologies such as transformers, large language models, and dense vector databases. We are expanding our team and seeking highly skilled individuals to contribute to AI-driven customer-facing products. At Bloomberg, we aim to foster a … solutions that process vast amounts of structured and unstructured information to produce analytics and insights. We are looking for Senior AI Engineers with expertise in Information Retrieval, Search technologies, Natural Language Processing, and Generative AI to join our AI Experiences team. Key initiatives include: Developing Retrieval-Augmented Generation (RAG) systems, curating data, and building evaluation frameworks for … systems powered by LLMs. Identifying and implementing improvements in our search systems through experimentation. Managing the entire model lifecycle from conception to deployment. Staying updated with research in IR, NLP, and Generative AI and applying innovations practically. Representing Bloomberg at industry events and open-source communities. Requirements: Experience with NLP, Search technologies, and Generative AI; familiarity with platforms like Elasticsearch More ❯

related technical field. Experience with modern ML frameworks (e.g., JAX, Pytorch or TensorFlow). Experience with launching applied Machine Learning/Natural Language Processing (ML/NLP) projects. About the Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products … search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a Software Engineer, you will shape the future of applied Machine More ❯

term contract. This is a unique opportunity to shape the future of our industry by delivering a world-class user experience that blends cutting-edge AI-driven UX—including natural language and voice interactions—with proven best practices. As a Full Stack Technical Lead, you will guide a development team to create a truly next-generation enterprise SaaS … continuous improvement Mentor team members in adopting AI-driven tools, optimising coding standards, and sustaining best Agile practices Technical Direction & Architecture: Champion an AI-first approach, utilising machine learning, natural language processing, and voice interfaces to push the boundaries of the user experience Integrate open-source technologies thoughtfully, minimizing custom builds except where they offer strategic advantage … providers (e.g., AWS) and infrastructure as code (e.g., Terraform, Jenkins) Knowledge of Remix, Tailwind CSS, and other emerging frameworks Experience leveraging AI-driven coding assistants, ML libraries, or advanced NLP toolkits Skills & Behaviours Outcome-Driven & Pragmatic: Focuses on results and value creation, making sensible trade-offs between speed and perfection AI-First Mindset: Constantly seeks ways to leverage AI for More ❯

leading investment management firm and research-driven team as a Senior Data Scientist. Work at the frontier of data-led investment strategies, using the latest techniques in machine learning, natural language processing, and quantitative modelling. This position blends academic insight with practical application in a collaborative and intellectually stimulating environment. You'll have the opportunity to shape … discipline (e.g. mathematics, statistics, computer science, engineering, or physics), completed within the last two years Strong programming skills in Python or a similar language Experience with machine learning, NLP, or statistical modelling A genuine interest in applying academic research to real-world problems Experience peer reviewing papers, journals etc. Excellent communication and collaboration skills Exposure to financial data or 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 ❯

will be in a team 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 customer facing experiences. They will … scientists to raise the bar 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 candidate with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. This Senior Applied Scientist should have 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 exceptional technical expertise, a sound More ❯

Develop system integrations using Power Automate, APIs, and other integration tools Address data quality issues through analysis, cleansing, and standardisation Build automated data quality monitoring tools and processes Develop natural language processing solutions for document analysis and data extraction Collaborate with teams across the business to identify automation opportunities Document data flows, structures, and processes to support … Analytics Strong experience with Microsoft Power Platform (PowerBI (Strong DAX Skills) - Power Automate) Knowledge of accounting or financial services data structures Experience with API development and integration Familiarity with natural language processing techniques Understanding of data governance principles Experience in accounting or financial services data preferred (But not crucial) Experience with Agile project methodologies Excellent communication skills More ❯

Develop system integrations using Power Automate, APIs, and other integration tools Address data quality issues through analysis, cleansing, and standardisation Build automated data quality monitoring tools and processes Develop natural language processing solutions for document analysis and data extraction Collaborate with teams across the business to identify automation opportunities Document data flows, structures, and processes to support … Analytics Strong experience with Microsoft Power Platform (PowerBI (Strong DAX Skills) - Power Automate) Knowledge of accounting or financial services data structures Experience with API development and integration Familiarity with natural language processing techniques Understanding of data governance principles Experience in accounting or financial services data preferred (But not crucial) Experience with Agile project methodologies Excellent communication skills More ❯

world-class data-led organisation that is continuously advancing with the latest AI trends? This company is an innovator in building data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. The role involves being a senior engineer who will help define and build the company's AI … and organization. Requirements include: Experience in AI engineering, data science, or related fields with a focus on production deployment. Strong Python, SQL, and programming skills. Hands-on experience with NLP, LLMs, recommendation systems, information retrieval, GenAI (especially RAG systems). Familiarity with ML frameworks like PyTorch, scikit-learn. Experience across the full model lifecycle: experimentation, training, testing, monitoring, deployment. Good 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 … development. Preferred skills & experience: Experience integrating Machine Learning solutions into production-grade software and understanding of ModelOps and MLOps principles. Previous exposure to Natural Language Processing (NLP) problems and familiarity with tasks like Named Entity Recognition (NER), Information Extraction, and Information Retrieval. Ability to understand and translate between research and engineering methodologies. Hands-on experience with other More ❯