51 to 68 of 68 Natural Language Processing Jobs in London

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 ...

collaborative cross functional unit working across engineering, product and data. The Role Develop and deploy production grade Python and deep learning models. Build NLP and LLM features including embeddings, intent detection and conversational AI. Contribute to end to end pipelines using cloud services, microservices and containerisation. Experiment with advanced techniques … contribute to technical decision making. Your Skills and Experience Strong Python skills and experience deploying ML models into production. Hands on experience with LLMs, NLP, embeddings and conversational AI. Practical experience with deep learning frameworks and cloud environments. Exposure to microservices, Docker and good engineering practices. Confident communicator able ...

leadership across research and engineering domains. Core Skills Strong foundation in deep learning and transformer-based architectures. Hands-on experience with PyTorch and modern NLP/LLM toolchains. Deep knowledge of parameter-efficient fine-tuning methods (LoRA, adapters, PEFT techniques). Expertise in intent classification, evaluation metrics (precision, recall … academic research. Bonus Skills Experience with reinforcement learning (PPO, DPO) or RLHF pipelines. Familiarity with distributed training frameworks (DDP, FSDP, DeepSpeed). Background in NLP tasks such as NER, semantic similarity, QA, or dialogue systems. Experience with experiment tracking platforms (MLflow, Weights & Biases). Exposure to agentic AI paradigms (ReAct ...

hands-on delivery and team leadership Strong proficiency inPower BI,SQL, andsemantic data modelling Hands-on experience applyingML/AI techniques(e.g., predictive models, NLP) to real-world challenges Excellent communication skills and a passion for coaching and developing others A relevant degree or equivalent experience Certifications inPower BI,Azure … delivery and team leadership Strong proficiency inPower BI,SQL, andsemantic data modelling Hands-on experience applying ML/AI techniques(e.g., predictive models, NLP) to real-world challenges Excellent communication skills and a passion for coaching and developing others A relevant degree or equivalent experience Certifications in Power BI,Azure ...

days per week in Office We are seeking a highly skilled AI Engineer with deep expertise in Agentic AI, Large Language Models, NLP, GenAI pipelines, cloud ML platforms, and vector-based retrieval systems . This is an opportunity to join an advanced AI team building next-generation intelligent systems ...

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 ...

office 5 days per month. As ML Engineer, your mission is to: Participate in the continuous improvement of our client's products Develop advanced NLP and AI-based products that will delight users Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand … demonstration and documentation Key Responsibilities As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches ...

APIs. Run technical experiments to test new AI-powered workflows, notably using Agentic AI. Engineer prompts and automation pipelines for AI-assisted localization. Leverage NLP/NLU techniques to improve localization automation, translation quality evaluation, and multilingual content understanding across Expedia Group experiences. 3. Machine Translation and linguistic systems Develop … programming skills (Python, Java, JavaScript/TypeScript) REST APIs, testing tools Regex and string handling Solid knowledge of Unicode, ICU & CLDR Working knowledge of NLP and NLU concepts: tokenization, embeddings, classification, sequence labeling, semantic similarity, intent/entity extraction Experience building production services, scripts, or internal platforms. Experience working 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 ...

Work with structured financial transaction data (merchant strings, metadata, timestamps, behavioural features). Apply techniques such as: Gradient boosting (e.g., XGBoost) Tree-based models NLP approaches for merchant text classification Embedding techniques where appropriate Engineer and test new features to improve model accuracy and generalisation. Evaluate model performance using appropriate … moving team. Nice to Have Experience with transaction data, financial data, or open banking datasets. Familiarity with GCP, especially BigQuery and CloudRun. Exposure to NLP techniques for messy text classification. Experience building reusable model pipelines. Background in fintech, lending, or other regulated environments. What We Offer Ownership of a high ...

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 ...

🤖 Senior Research Engineer - Conversational AI 📍 In-office (Location TBC) Recruiting for a leading conversational AI platform backed by tier-1 investors that's redefining customer experience for enterprise brands. About the company: They power AI ...

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 ...

leader within a newly established team and contribute to long term capability development. Your Skills and Experience • Strong commercial experience designing AI, ML or NLP solutions. • Expertise in Python and modern ML/NLP practices. • Hands on experience working with LLMs such as GPT, Llama, Claude or Mistral. • Ability ...