1 to 25 of 56 Natural Language Processing Jobs in London

systems. In addition, OpenBinacle is a leading Pan-African AI and language technology platform advancing innovation in Natural Language Processing (NLP), machine translation, and African language digital infrastructure. Through a robust network of research partners, developers, and universities across the continent, we are committed … Mathematics and Theoretical Foundations Mathematics Applied Mathematics Statistics Mathematical Modeling Artificial Intelligence and Data Sciences Data Science Natural Language Processing (NLP) Knowledge Representation and Reasoning Computer and Information Sciences Computer Science Software Engineering Information Engineering Information Systems Distributed Systems Cloud Computing Engineering and Communication Systems Electrical ...

systems. In addition, OpenBinacle is a leading Pan‐African AI and language technology platform advancing innovation in Natural Language Processing (NLP), machine translation, and African language digital infrastructure. Through a robust network of research partners, developers, and universities across the continent, we are committed … Mathematics and Theoretical Foundations Mathematics Applied Mathematics Statistics Mathematical Modeling Artificial Intelligence and Data Sciences Data Science Natural Language Processing (NLP) Knowledge Representation and Reasoning Computer and Information Sciences Computer Science Software Engineering Information Engineering Information Systems Distributed Systems Cloud Computing Engineering and Communication Systems Electrical ...

Engineer, you will contribute to designing, developing, and implementing AI-driven solutions. Daily tasks include building and optimizing machine learning models, applying natural language processing techniques, and enhancing pattern recognition systems. You will collaborate with cross-functional teams to identify challenges and implement innovative solutions tailored … Qualifications Strong expertise in Pattern Recognition and Neural Networks Proficiency in Computer Science and Software Development Experience in Natural Language Processing (NLP) techniques and applications Proven problem-solving and critical thinking skills Ability to work collaboratively within a hybrid environment Bachelor's or Master's degree ...

Techniques: Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation … UK. Unfortunately, we do not offer visa sponsorship. Preferred technical and professional experience Foundation in Specialized Areas: Experience with one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies, enabling optimization of AI solutions and driving business value. Proficiency in Modern ...

Techniques: Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation … UK. Unfortunately, we do not offer visa sponsorship. Preferred technical and professional experience Foundation in Specialized Areas: Experience with one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies, enabling optimization of AI solutions and driving business value. Proficiency in Modern ...

risk insights. You will mine data to find behavioural signals—such as spending volatility or income stability—that predict affordability, repayment, and fraud risk. NLP & Entity Resolution: Use classic NLP techniques (fuzzy matching, named entity recognition) to normalise, cleanse, and match and consumer identity data at scale. Generative AI & Explainability … clusters without needing a pre-defined hypothesis. Explainability: Experience using SHAP or similar frameworks to explain model outputs. Natural Language Processing (NLP): Entity Matching: Experience with deduplication, record linkage, or entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour ...

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 platformsImpact and Achievements ...

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 … 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 ...

Learning) modellərinin hazırlanması və optimallaşdırılması AI əsaslı tətbiqlərin (chatbot, recommendation system və s.) dizaynı və inkişafı Böyük həcmli məlumatların (Big Data) emalı və analizi NLP (Natural Language Processing) və ya Computer Vision layihələrinin hazırlanması Model performansının ölçülməsi və təkmilləşdirilməsi API-lər və AI servislərinin inteqrasiyası Texniki sənədləşmə … kitabxanalarla işləmə bacarığı Data strukturları və alqoritmlər üzrə bilik SQL və ya NoSQL verilənlər bazası biliyi Git və versiya idarəetmə sistemləri ilə təcrübə Üstünlüklər NLP, Computer Vision və ya Generative AI sahəsində təcrübə Cloud platformalar (AWS, GCP, Azure) ilə iş təcrübəsi Docker və Kubernetes biliyi Real layihələrdə AI tətbiqi təcrübəsi ...

solutions into scalable platform capabilities. The Company They are an AI-driven TechBio organisation focused on transforming pharmaceutical research and development. Their platform applies natural language processing, large language models, and knowledge graph technology to structure insights from vast volumes of scientific literature. Working with enterprise … machine learning systems into production, combined with the ability to work confidently in customer-facing environments. Key capabilities include: Hands-on experience deploying NLP or LLM-powered features in production environments Strong knowledge of retrieval-augmented generation systems, retrieval and recommendation architectures, and vector databases Experience building, debugging, and maintaining ...

Location London Position Overview We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning and large language model (LLM) solutions that drive measurable business impact. This role requires hands‐on experience building AI models and automation pathways across diverse use cases … Develop and deploy end‐to‐end machine learning models for complex business problems across forecasting, optimization, and prediction domains Build and fine‐tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision‐support systems Deep understanding of solving data science and AI‐enabled problems ...

member of the Query Enrichment team, you will help make Bloomberg’s GenAI capabilities smarter, faster, and more intuitive. Our work connects data science, natural language processing, and human judgment, enriching queries to ensure users receive the most accurate and relevant responses possible. We partner closely with … proficiency in Python (Pandas, NumPy, and data visualization libraries). Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models. Prior involvement with distributed data labeling operations. If indicated, please note that years of experience are a guide; we will consider applications from ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

venture-backed, Series A technology business operating at the intersection of life sciences, data science and artificial intelligence. Their platform applies AI and natural language processing to unlock insights from vast volumes of scientific data, supporting more efficient and informed drug discovery. The organisation is founder ...

goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing ...

best practices across all engineering workflows Intelligent Automation Drive enterprise automation using tools like Power Automate, Blue Prism, and Automation Anywhere Implement cognitive services (NLP, speech, vision) to enhance digital workflows Lead process mining and optimisation initiatives (e.g. Celonis) Analytics & Decision Intelligence Deliver data-driven insights through advanced analytics ...

development of innovative solutions. Your Profile Essential skills/knowledge/experience: Proficiency in Python and extensive experience with AI/ML/NLP libraries (eg, Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (eg, GPT series, Llama series, Mistral, Claude), including prompt engineering, fine ...

Preferred Experience Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, Mathematics, or related field Experience with GenAI/LLMs and NLP applications Knowledge of regulatory frameworks in financial services (e.g., GDPR, model risk governance) Company Overview At SBS, we’re more than just a technology company ...

/ML, software development, or SaaS start‐ups. You have a keen interest the latest in Gen AI and LLMs, algorithms, and technologies (e.g., NLP, computer vision, predictive analytics). Experience with cloud platforms (AWS, Google Cloud, Azure) and experience with microservices, containerisation (Docker, Kubernetes), DevOps and CI/ ...

data science/machine learning Strong foundation in traditional ML (e.g. XGBoost, regression, statistical modelling) Hands-on experience with LLMs/GenAI/NLP/AI systems Experience deploying models into production (not just experimentation) Familiarity with MLOps, CI/CD, and containerisation Strong stakeholder skills - comfortable working with department ...

pipelines.* **Depth Experience:** in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection* **Deployment Experience*** Proven ...

data workflows across Equity Corporate Actions and Reference Data products. This role focuses on ensuring that automation systems — including rule‐based pipelines, intelligent document processing, and LLM‐driven workflows — produce accurate, measurable, and operationally resilient outputs at scale. You will help define how we evaluate, monitor, and continuously improve … from all candidates who can demonstrate the skills necessary for the role. We’d love to see: Familiarity with LLMs, intelligent document processing, NLP systems, or workflow automation platforms Experience with Bloomberg’s products or other financial data providers’ products Good understanding of the equity market, corporate actions ...

data workflows across Equity Corporate Actions and Reference Data products. This role focuses on ensuring that automation systems — including rule-based pipelines, intelligent document processing, and LLM-driven workflows — produce accurate, measurable, and operationally resilient outputs at scale. You will help define how we evaluate, monitor, and continuously improve … from all candidates who can demonstrate the skills necessary for the role. We’d love to see: Familiarity with LLMs, intelligent document processing, NLP systems, or workflow automation platforms Experience with Bloomberg’s products or other financial data providers’ products Good understanding of the equity market, corporate actions ...

high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. Additional Info ...

team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration ...