151 to 175 of 269 Natural Language Processing Jobs in London

Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies - simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. … right in if you Have strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks. Have solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them. Are comfortable ...

Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps tooling … infrastructure as code Exposure to Generative AI and large language models Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Help ...

hands-on data scientist with deep expertise in NLP and LLMs, strong Python coding skills, and a track record of deploying models to production? Do you thrive in building real-world AI solutions that are used by actual customers? If so, we'd love to talk to you! ROLE SUMMARY … with collaborative teams to co-develop innovative products for financial markets and professionals. We're looking for someone who combines deep technical expertise in NLP and LLMs, strong Python engineering skills, and real-world experience shipping and supporting models in production. You should be comfortable owning delivery timelines and ensuring ...

SaaS platforms . Strong understanding of Voice of the Customer, feedback systems, and customer experience analytics . Experience working with AI/ML, NLP, or data visualization products is a strong plus. Proven ability to turn customer insights into clear, measurable product outcomes. Excellent communication and stakeholder management skills; comfortable ...

iterate through Python scripts to run data science analyses. Foundational ML knowledge: A good understanding of foundational data science concepts (e.g., statistics, clustering, basic NLP workflows). You do not need experience deploying ML models to production, but you should understand how to apply them to data tasks. Analytical Mindset ...

deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms. You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework ...

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

production impact with sophisticated ML challenges – Build ML systems that analysts and financial professionals actually use daily; solve hard problems at the intersection of NLP, document intelligence, reasoning systems, and production-scale deployment; measure your impact in both model performance and business outcomes Accelerated career trajectory in AI leadership – High … from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks (PyTorch, etc.), large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates Drive breakthrough AI innovation and experimentation boldly – Lead exploration ...

production impact with sophisticated ML challenges – Build ML systems that analysts and financial professionals actually use daily; solve hard problems at the intersection of NLP, document intelligence, reasoning systems, and production-scale deployment; measure your impact in both model performance and business outcomes Accelerated career trajectory in AI leadership – High … from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks (PyTorch, etc.), large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates Drive breakthrough AI innovation and experimentation boldly – Lead exploration ...

helping teams work better together throughAI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We\'ve been featured inHarvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private … Exceptional client-facing skills —with a proven ability to build trust and drive outcomes with senior stakeholders, including C-suite and executive leaders. French language skills highly prioritized. Structured problem-solving ability —you can break down complex challenges, connect the dots, and craft solutions that drive results. Proven influence ...

partners, build advanced analytics solutions and mentor a growing team of data scientists. Candidate should have hands-on experience with real-time predictive models, NLP, Python and SQL, and familiarity with Databricks, Snowflake, and Azure. Strong communication skills are essential. #J-18808-Ljbffr ...

FinTech clients globally. You will guide ML/AI initiatives, collaborate with clients and internal teams, and own the AI/ML strategy. Strong NLP/LLM experience and deep Python/Azure skills are essential for success. #J-18808-Ljbffr ...

drive innovation through generative AI applications tailored to complex financial workflows. The ideal candidate will have strong Python proficiency and hands-on experience in NLP, along with a solid understanding of the GenAI landscape. This role offers substantial growth opportunities and a hybrid working model, making it perfect for those ...

Platform Delivery department. The role focuses on designing, training, and productionising ML models across multi-source datasets, with emphasis on embedding/RAG workflows, NLP and scalable services integrated into the OneView platform. The ideal candidate will have 3–5+ years in ML engineering, strong Python skills, experience with modern ...

data science with client-facing consultancy to help public sector clients use data and AI responsibly. You will work with Python, ML and NLP, design and evaluate AI solutions, mentor colleagues, and contribute to building maintainable data services. The role requires SC clearance and UK residency; salary range ...

science fundamentals and time-series forecasting Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning) Machine Learning Engineer, XGBoost, GCP, Python, SQL, time-series forecasting Reasonable Adjustments: Respect and equality are core values to us. We are proud ...

ambiguity and define clarity Data & Technical Depth Experience with data models, pipelines, and analytics systems Familiarity with AI/ML or data extraction (e.g., NLP) preferred Comfortable working closely with engineering teams Execution Bias for action; able to go from idea to shipped product Strong prioritization and roadmap management Stakeholder ...

financial services and its data, regulatory and transformation challenges is seen as beneficial - we do however welcome experience from other industries. Experience using NLP, machine learning and semantic text mining to support advanced analytics, classification, inference and knowledge extraction, including appropriate use of AI-enabled techniques. Familiarity with mapping approaches ...

Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background At Fin, we want to give people what they need ...

practices, such as Docker, Terraform and MLFlow Confidence influencing and communicating with stakeholders across technical and non-technical teams Ideally, exposure to cloud infrastructure, NLP or large language models (such as fine-tuning, RAG or agents), graph technologies, or experience in the transport sector or with geographic information systems ...

experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature, with some support and technical direction set by seniors. Experience … training and developing AI models including Large Language Models. Ability to produce high-quality scientific (academic style) writing for internal & external publication. Problem solve with high levels of autonomy, with some input from technical leaders. Be a self-starter, being pro-active in finding solutions. Desirable Skills & Experience PhD. ...

prompt registries, model and version governance, monitoring and alerting, and rollback strategies Architect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event‐driven patterns, meeting service level objectives Partner with product, operations … stakeholder management and teamwork skills, with the ability to drive outcomes in partnership with cross‐functional teams Preferred Qualifications, Capabilities, and Skills Experience with NLP and generative AI, including large language models, retrieval‐augmented generation, tool and function calling, agentic workflows, multi‐agent orchestration, and related evaluation and safety ...

Testing Site - JPMC is seeking an innovative data scientist to design and implement ML solutions that enhance investment processes, elevate client experiences, and streamline operations within the Data Science team in Greater London. Initially you ...

will collaborate with country analysts, economists, and developers to deliver interpretable, scalable insights and support decision-making. You will develop, refine, and monitor NLP and ML models, build robust data pipelines, and communicate outputs to stakeholders in a fast-paced, collaborative environment. #J-18808-Ljbffr ...

Applied AI ML team. The role combines cutting-edge AI techniques with the bank's data assets to optimize decisions and automate processes, leveraging NLP, CV, and statistical ML. You will build products to automate tasks, help experts prioritize work, and enable re-use of foundational components across teams. #J ...