176 to 200 of 227 Natural Language Processing Jobs in London

improvement initiatives. Desirable: Microsoft Azure experience. Experience deploying and supporting AI/ML applications in production environments. Exposure to Large Language Models (LLMs), NLP, or agent-based systems. Experience with observability and monitoring tools such as Sentry , Prometheus, Grafana, or similar platforms. Strong Docker and multi-container application architecture ...

member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams … data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet ...

secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL … efficient training techniques. Experience fine‐tuning existing reasoning models for specific tasks and behaviours without degrading their reasoning capabilities. Experience with machine translation, multilingual NLP, or language quality estimation. Familiarity with inference and serving at scale (e.g. via vLLM, SGLang, TensorRT‐LLM, etc) and long‐context modelling. Publications ...

platforms. The role involves code development, deployment, and ongoing optimization to impact consumer experiences. The ideal candidate has solid experience in search technologies, NLP, and English proficiency, with a customer-focused approach and strong technical acumen. #J-18808-Ljbffr ...

traffic efficiency across JD.com’s global e-commerce growth. You will design and optimize models, evaluate experiments, and stay ahead of ML/NLP developments while collaborating with product, engineering, and business colleagues in a fast-paced #J-18808-Ljbffr ...

like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre-existing code … following areas: MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code Data Engineering: including platforms like Databricks for data processing and analytics Building a truly diverse, equitable ...

agentic systems from prototype to production, with a strong understanding of infrastructure, authentication, and observability Delivered on high‐stakes consulting engagements across multiple language paradigms, stacks, ecosystems, and client industries Built high‐quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients … embracing new tooling and trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy systems with short and long‐term business needs ...

like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML‐powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context‐appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre‐existing code … Strongly Preferred Skills MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited ...

Development Design and implement Python-based automation scripts for keyword research, rank tracking, backlink analysis and competitor monitoring Integrate AI/ML models (e.g. NLP for content optimisation, clustering for keyword grouping) into SEO workflows Build APIs and data pipelines to connect SEO tools, analytics platforms and internal dashboards Data … Familiarity with Google Search Console, Google Analytics and major SEO tools (Ahrefs, SEMrush, Screaming Frog, Search Atlas, Surfer SEO) AI & Machine Learning Experience applying NLP, clustering or predictive modelling to SEO or marketing data Familiarity with frameworks like scikit-learn, spaCy, TensorFlow or Hugging Face Nice to Have Strong ...

biological/scientific data (e.g. genomics, transcriptomics, proteomics) or pharmaceutical work is beneficial Knowledge of AI/ML deployment-especially language models, NLP or agent-based approaches-is a strong advantage Experience with Docker/containerised applications (including multi-container architecture) is desirable Mentoring/coaching and technical leadership ...

specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We own the entire pipeline including … tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV, AAMAS, ...) Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV) Experience with large-scale distributed training and inference (multi-node, large models, MoE, parallelism strategies, etc) Experience training models for computer use or other multi ...

secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL … collaborate across teams, while staying grounded in product impact, user experience, and real-world performance. Nice to have Experience with machine translation, multilingual NLP, efficient long-context modeling, language quality estimation, or multimodal machine translation. Experience designing evaluation and reward signals using automatic metrics, Model-as-judge evaluation ...

reviews, and CI/CD pipelines Excellent problem-solving skills and a collaborative mindset Strong version control skills using Git Preferred qualifications: Experience with NLP or semantic search systems Knowledge of large language models (LLMs) Experience with Terraform or cloud infrastructure management Familiarity with frontend technologies such as React ...

enterprise use.**Analytics, AI and Agentic Strategy Prioritisation**• Prioritise data access, tooling and platform capabilities required to support advanced analytics, AI/ML, NLP, intelligent automation and agentic strategies for the group.• Identify opportunities to deploy production-grade analytics and AI-enabled solutions that improve decision-making, risk transparency, operational … modelling, semantic layers, canonical data views, data catalogues, data quality, lineage, metadata, critical data elements and data governance frameworks.• Understanding of AI/ML, NLP, intelligent automation, agentic AI concepts or production-grade analytics, with the ability to distinguish credible business use cases from experimentation.• Proven ability to translate abstract ...

codebases. Hands‐on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline chops. Strong software‐design instincts: testing, code review, CI/CD. Self‐starter, low‐ego, collaborative. Benefits … membership 🥕 Meal voucher: £200 monthly allowance for meals 💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer) Tagged Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom Senior (5+ years of experience) #J-18808-Ljbffr ...

data science and analytical techniques to identify trends and generate insights from biomedical/pharmaceutical data Building and maintaining content analytics pipelines Using AI, NLP, and text-mining approaches to analyse biomedical literature and scientific datasets Supporting the extraction, organisation, and interpretation of scientific information Collaborating with cross-functional stakeholders … technical stakeholders Strong communication and organisational skills as regular interaction with a range of stakeholders is a core part of the job Experience with NLP, machine learning, scientific datasets, or biomedical literature is a significant advantage - preferably gained from working in a pharmaceutical, biotech diagnostics, CRO or consultancy company supporting ...

Experience in financial services with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields Preferred Qualifications, Capabilities, and Skills Experience in financial services … with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields About Us J.P. Morgan is a global leader in financial services, providing strategic ...

respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent, setting ...

coding and deployment of enterprise-wide analytic products on structured and unstructured data Implement and manage data pipelines and analytical workloads, ensuring efficient data processing Develop plans, prioritize, coordinate design and delivery of products or features to product release, and serve as a product ambassador within the user community … File System ecosystem tools: Linux, Python, Spark, Hive; and modern data platforms and tools (e.g. Databricks, NoSQL stores) and AI/ML frameworks (e.g. NLP). LLM integration patterns, RAG pipelines, and agentic AI architectures, including MCP server. Domain experience in Credit Risk, Market Risk, Liquidity or Capital. Experience ...

About the Job you are considering: We are seeking a skilled Generative AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and related technologies. The ideal candidate will have experience building scalable AI solutions, integrating foundation models … experience with: LangChain/LangGraph Semantic Kernel OpenAI APIs/Azure OpenAI Hugging Face Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus) Machine Learning fundamentals. NLP concepts and transformer architectures. Model evaluation and observability. Data preprocessing and feature engineering. We are a Disability Confident Employer: Capgemini is proud ...

customer-facing delivery. Data Lakehouse Proficiency: Strong hands-on experience with modern data architectures and SQL, specifically regarding data modeling and schema design. AI & NLP Fundamentals: Practical experience building or deploying solutions that utilize Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), or conversational AI frameworks. Semantic Modeling ...

customer-facing delivery.* **Data Lakehouse Proficiency:** Strong hands-on experience with modern data architectures and SQL, specifically regarding data modeling and schema design.* **AI & NLP Fundamentals:** Practical experience building or deploying solutions that utilize Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), or conversational AI frameworks.* **Semantic Modeling ...

Science, Research Intelligence & Knowledge Discovery Technology In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while aligning work … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high‐performing teams by coaching talent, setting ...

shape the future of AI-powered experiences. You will: Analyse large-scale text, document, and conversation data to uncover patterns in user behaviour Apply NLP, semantic analysis, classification, and regression techniques to answer product questions Develop frameworks to evaluate AI performance and measure user outcomes Investigate prompts, model responses … working as a Data Scientist within a product team Hands-on experience analysing high-volume text, conversation, messaging, or document data Deep understanding of NLP, semantic analysis, or text-focused machine learning techniques Strong Python and SQL skills Experience applying statistical and machine learning methods such as classification and regression ...

seeking a Data Scientist III to help design and validate Agentic AI-driven product capabilities within Protégé in PatentSight. You will apply machine learning, NLP, and large language models to solve complex IP workflows, drive experimentation, and translate results into scalable, customer-facing solutions in collaboration with engineers. Join ...