1 to 25 of 46 Permanent Natural Language Processing Jobs in London

technologies e.g. Elastic, Mongo, Cassandra, Redis, S3 Nice to have requirements: PyTorch, Artificial Intelligence(AI), Machine Learning(ML), Natural Language Processing(NLP), Data Handling, Large Language Model(LLM), Atlassian Suite, GitHub, Linux CLI, Any additional knowledge of Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) is highly desirable. Working with our UK Central Government client you will be part of a brand-new project focusing on blue sky dev work. Due to the highly sensitive nature of this project we are seeking DV cleared individuals with willingness ...

maintenance of internally facing HR knowledge (e.g. policies, processes, reporting) Utilise your experience or learnings about chatbots and Natural Language Processing (NLP) to configure, enhance, and train the chatbot on HR processes, policies, and frequently asked questions to provide accurate and timely responses to employees. Identify, design … Experience of running a help desk or being part of a resolver group preferred Experience of working with generative AI, chatbots and/or Natural Language Processing preferred Degree in relevant discipline preferred or equivalent experience. Good understanding of HR policies and guidelines, knowledge of HR cyclical ...

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 ...

handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/… frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language ...

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 ...

skilled Conversational AI – Technical Trainer to create and deliver in-depth training programs on conversational AI and natural language processing (NLP). The ideal candidate will have a hands-on technical training session covering conversational AI, suitable for those with some background and practical experience … specific industries, ensuring it aligns with best practices and regulatory standards. Create Training Programs and Materials: Develop modules and engaging resources on conversational AI, NLP, and chatbot design. Assess Training Impact and Learner Progress: Evaluate participant understanding and refine content based on feedback and performance. Stay Current with Industry Trends ...

Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more ...

alongside an appreciation for regulatory considerations unique to this sector. You possess a thorough understanding of artificial intelligence concepts such as machine learning or NLP without needing direct coding skills-enabling you to communicate effectively with technical experts while focusing on strategic outcomes. Your proven ability in programme management means … well as familiarity with regulatory frameworks governing financial institutions. Conversant in artificial intelligence concepts such as machine learning, natural language processing (NLP), automation technologies including generative AI or agentic AI-without requiring hands-on coding expertise. Extensive experience in programme management encompassing oversight of multiple concurrent workstreams ...

Lead AI Technologist to help lead the team, researching and developing novel AI/ML technologies. You’ll lead projects spanning reinforcement learning, NLP, computer vision, and signal processing, while mentoring teams and shaping partnerships with academic and industry leaders. Key Skills/Experience: Required: PhD in a relevant … Proposal writing experience Strong communication and mentoring skills Expertise in one or more of: AI/ML for imagery and remote sensing Reinforcement learning Natural Language Processing and Large Language Models Knowledge graphs and graph neural networks AI for RF, EW, radar, sonar, or acoustics Autonomy ...

related injuries navigating NHS and military charity pathways. The post holder will be working on automating the synthesis of data from medical records using natural language processing, developing a smart referral questionnaire to improve data capture, and building a machine learning algorithm to automate parts ...

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. As a software engineer, you will work on a specific project critical to the Scopeworker platform ...

forefront of AI development. The role: Drafting and prosecuting patent applications for a wide range of AI-related innovations, including machine learning, natural language processing, and data analytics. Providing strategic IP advice to clients developing novel software and hardware solutions. Managing a diverse portfolio of domestic ...

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 ...

learning exposure (PyTorch/TensorFlow) Cloud experience (AWS/GCP/Azure) Familiarity with MLOps concepts (monitoring, CI/CD, Git, Docker) Experience with NLP, time series, recommender systems, or optimisation Benefits 💰 £35,000 – £45,000 + bonus 🏡 Hybrid working (London) 📈 Mentorship + progression: structured development, training budget, regular feedback ...

Spring; expertise in AWS, Azure, Google Cloud; Kubernetes and containerization. • AI Expertise: Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. • Big Data: Experience with Hadoop and Spark. • Ethics: Knowledge of AI ethics and governance. • Methodologies: Agile and Scrum project management. Desired Skills & Experience • Deep ...

diligence, and portfolio management. Over the past several years, they’ve built an in-house Data Science and AI function that applies advanced analytics, NLP, and large language models to real-world commercial and investment problems. This is a genuinely data-driven environment where technical work directly informs senior … commercial environment. Key Responsibilities Research and prototype new data science and LLM-driven use cases to support commercial and strategic decision-making Apply NLP and language analysis techniques to large, unstructured datasets Build, test, and iterate on machine learning models using strong classical data science foundations Support the productionisation ...

present findings to stakeholders effectively. Qualifications & Skills: 3-5 years of professional experience with AI and Machine Learning projects. Hands-on experience with Large Language Models (LLMs), evaluation techniques, and frameworks such as LangChain. Proficiency with Retrieval-Augmented Generation (RAG) techniques, including embeddings, vector search, and vector databases. Bachelor ...

across client behaviour, operations and financial domains Build advanced models and data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP/text analytics, time-series forecasting, & generative AI use cases Monitor model performance and design experiments tied to clear hypotheses Translate ambiguous business questions into ...

scientific, or technical discipline (e.g., computer science, mathematics, physics). Strong expertise in AI, ML, and statistical methods, with experience across domains such as NLP, images, audio, graphs, time series, and tabular data. Several years' experience as a data scientist in industry or related environments. Proficiency in Python and common ...

GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations for building scalable, maintainable systems ...

quantitative discipline (e.g., Maths, Physics, Computer Science). Strong expertise in AI, ML, and statistical methods applied across multiple domains (NLP, vision, audio, time series, tabular data). Proficient in Python and relevant ML/data science libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers). Experience with cloud-based ...

React, C# .NET, Python, SQL, APIs, Azure, Power Platform, SaaS, PaaS, IaC. Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP, MCP etc. Experience in architecture and software development methodologies, and design techniques e.g. Agile, C4, UML, TOGAF, Microsoft Well-Architected Framework, design patterns. Experience using ...

libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability to design experiments and apply statistical validation Understanding of Responsible AI principles and model explainability Ready to take your ...

learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care … hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization. Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language ...

Responsibilities Own end-to-end ML delivery from problem definition through deployment Build and productionise models across forecasting, pricing, churn, segmentation, fraud, and NLP use cases Work closely with data engineers and cloud infrastructure to scale solutions Translate technical work into clear commercial impact for senior stakeholders Contribute to code ...