51 to 59 of 59 Natural Language Processing Jobs in London

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 ...

multiple AI use cases already live across the business, this role will focus on advancing production-grade AI capability, particularly across Generative AI and NLP, ensuring measurable commercial impact and scalable technical delivery. This is a hands-on leadership role combining engineering excellence, AI innovation and team development. … Engineers Own end-to-end delivery of AI solutions from research and prototyping through to production deployment Drive the development of advanced NLP and LLM-powered applications Contribute to shaping the enterprise AI and GenAI roadmap Ensure AI solutions are robust, scalable, secure and commercially measurable Key Responsibilities: Technical Leadership ...

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 ...

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 ...

relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding skills required … least one leading programing language (Python, R, Matlab and/or C++, C#) Experience in exploring large datasets across multiple time frames is a plus Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields Capacity to work with ...

small, elite team with a genuinely high technical bar? A fast-scaling, YC-backed LegalTech AI company is building GenAI systems across document processing, draft generation and information retrieval. Their platform is already used by hundreds of legal teams globally, and they’re now expanding their AI group … deploy features end-to-end What they’re looking for New Grad/Early Career, ideally MSc or PhD in CS/ML/NLP (or related) Strong applied ML research background, ideally with publications in top venues such as: NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI (added bonus) Strong engineering ...

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 ...

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 ...

Deploy AI-powered claims triage, fraud detection and exception handling workflows Support digital trading and delegated authority process optimisation AI-Driven Innovation Embed LLMs, NLP, classification models and vision AI into core insurance processes Develop self-improving, decision-driven workflows that reduce manual touchpoints Lead AI governance and validation frameworks … highly desirable) Strong hands-on expertise in platforms such as UiPath, Power Automate, Blue Prism or similar Experience integrating AI/ML models (LLMs, NLP, computer vision) into operational workflows Strong understanding of underwriting, claims or delegated authority processes Experience leading and mentoring technical teams Ability to communicate technical automation ...