51 to 67 of 67 Natural Language Processing Jobs in London

experience in data science or applied analytics. Strong skills in Python and SQL (R a bonus). Experience with machine learning techniques (clustering, regression, NLP, ensemble methods). Good grounding in statistics (hypothesis testing, regression, experimental design basics). Ability to distil complex technical results into simple, engaging narratives. Curiosity … about human behaviour and decision-making. Experience running end-to-end analytics projects . Nice to have: Cloud experience (Azure, AWS or GCP). NLP/text analytics. Exposure to A/B testing. Understanding of behavioural science principles. Why This Role Stands Out Work at the intersection of data ...

integrating models into production systems. Your Responsibilities (Up to 10) Model Development Design, build, and train machine learning models for predictive analytics, classification, NLP, computer vision, or other AI applications. Experiment with algorithms and optimize hyperparameters for performance. Data Preparation Collect, clean, and preprocess large datasets for training and validation. … Experience (Up to 10) 10+ years of experience in software engineering, with 5+ years in AI/ML. Expert in Python, PyTorch, TensorFlow, and NLP frameworks. Proven experience with LLMs, transformer architectures, and LangChain/Hugging Face. Strong foundation in algorithms, model evaluation, and ML workflows. Deep understanding of BFSI ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

scale and help drive fairer, more effective outcomes across the labour market. Youwill build and optimize in-house algorithms, work with the latest NLP and generative AI techniques, and develop intelligent conversational agents. Your work will directly improve how jobseekers and employers find the right opportunities and talent. Your responsibilities … based search engines, recommender systems, or similar large-scale ranking models. Generative AI & Technical Proficiency: Hands-on experience with LLM fine-tuning, Python, modern NLP frameworks, and familiarity with AWS SageMaker, Docker, and Airflow. Strong mathematical and statistical foundation. Ethical Drive: Commitment to ethical and fair AI practices that ensureequitableoutcomes ...

approaches for extracting insights from structured and unstructured data. Build: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data. Collaborate: Partner with cross-domain experts to turn non-technical ideas into scalable, interpretable research designs. Deploy: Develop and maintain robust ML pipelines for both … production. Who You Are: Technical Expert: You have substantial experience with Python or R, and are skilled in querying and analyzing big data. NLP Specialist: You have a proven track record of developing and refining NLP models. Clear Communicator: You can explain complex ML/NLP methodologies to non-technical ...

heart of real business workflows. This is a hands-on contract role suited to someone who has delivered RAG pipelines, multi-agent systems and NLP-driven applications in live environments, ideally within complex or regulated domains. Location: London (2 days onsite) Contract: 6 Months (OIR35) Rate: £400-500 p/… including: Retrieval-Augmented Generation (RAG) Prompt & context engineering Agentic/multi-agent architectures Experience with frameworks such as LangChain, LangGraph, LangSmith or similar Solid NLP background (tokenisation, embeddings, transformers, BERT-style models, sentiment analysis) Experience integrating vector databases (e.g. Azure AI Search, OpenSearch, Pinecone, Weaviate) Cloud experience on Azure ...

built an internal data and technology function to support deal sourcing, due diligence, and portfolio insights, using modern data science and emerging LLM/NLP techniques. The team works closely with senior stakeholders and operates like a lean product and research group within a fast-paced commercial environment. They … hands-on and delivery-focused, with opportunities to ship work into production and iterate quickly. Key responsibilities Build and prototype data science and NLP/LLM solutions Take models from exploration to production deployment Work across multiple projects supporting commercial decision-making Collaborate closely with engineers and non-technical stakeholders ...

technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks ...

Senior AI Engineer (NLP/LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex … data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business ...

team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share … build deeper connections with their customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients ...

development, data pipelines, and system integration Familiarity with cloud-native architectures and scalable AI systems Desirable/Nice to Have Experience with NLP, OCR, speech-to-text, or document intelligence Exposure to computer vision or multimodal AI systems Knowledge of real-time data processing and streaming architectures Experience with ...

MOBILE, Apex Legends Mobile, and League of Legends: Wild Rift (Chinese Version). Responsibilities: 1. Drive and contribute to cutting-edge research projects in NLP/ML. 2. Develop benchmarks and baselines using publicly available datasets. 3. Train large language models (LLMs) on innovative, practical tasks. 4. Publish research … findings at leading NLP/ML/AI conferences and in top journals. Qualifications: 1. Currently in the PhD degree in NLP, Machine Learning, or a related area, or recently submitted the thesis; available at least three days per week (with the supervisor and university approval). 2. At least ...

Vauxhall/Stratford) Comfortable delivering against clearly defined outcomes , consistent with Outside IR35 engagements Nice to Have Experience with AI/ML , including PyTorch , NLP , or LLMs Advanced data handling and large-scale processing experience Familiarity with the Atlassian Suite (Jira, Confluence) Experience using GitHub in mirrored or restricted ...

model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will … build prediction models based on these results Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 Strong expertise in NLP Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Strong understanding of neural networks, CNNs, RNNs ...

learning task of predicting student knowledge and optimal ‘next task’ Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data Create brand new dictionaries, applicable to any context - right now it’s the English language … pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience ...

Skills & Experience To succeed in this role, you'll bring experience in: Defining and delivering strategic technical product vision and roadmaps Building and scaling NLP-based products Leading and influencing cross-functional technical teams Highly desirable skills include: APIs and microservices architecture Data analytics and performance measurement Generative … Large Language Models (LLMs) Reference: AMC/RHU/tpm #ryhu ...

auditability, encryption at rest and in transit. CoE leadership: guardrails & code review checklists, reusable components, reference architectures, developer onboarding and enablement. AI initiatives: seed NLP/Email Bot, Digital Messaging intent/sentiment, GenAI-assisted CSR (summarization, knowledge retrieval), and governance (prompt/data policies). Must-Have Skills Pega … power NBA in service context and next-best-service actions. GenAI/Agentic AI in Pega (e.g., summarization, knowledge buddy/coach patterns) and NLP model tuning. Telephony/CCaaS: Genesys, Amazon Connect, Twilio, NICE; CTI handoff and screen-pop patterns. Cloud ops (Pega Cloud, AWS/Azure) and enterprise ...