201 to 225 of 336 Natural Language Processing Jobs in London

such as predictive analytics, machine learning and AI and working across data programmes.You’ll be excited to utilise proprietary technology such as our ecosystem NLP tooling to solve client problems.Identify potential business opportunities within existing and new clients. Collaborate with the Sales and Marketing teams and Consulting leadership to develop ...

Scientific thinking skillsBonus skills & attributes Track record shipping ML productsPhD or other experience in a research environmentDeep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clusteringStrong stats or math backgroundVisualization, data skills, SQL, matplotlib, etc. At Fin, we want to give people what they ...

libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms. You bring a leadership mindset, focused ...

libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms. You bring a leadership mindset, focused ...

core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch).You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms.You bring a leadership mindset, focused on growing ...

Scientific thinking skillsBonus skills & attributes Track record shipping ML productsPhD or other experience in a research environmentDeep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clusteringStrong stats or math backgroundVisualization, data skills, SQL, matplotlib, etc.At Fin, we want to give people what they need ...

goals.Familiar with Threat Intelligence or Cyber Data Domains, including structured and unstructured sources such as text, imagery, and network telemetry.Knowledge of AI/ML, NLP, and Data Analytics, particularly as applied to extraction, classification, or clustering.Strategic Prioritizer who can focus limited resources on the most impactful initiatives.Excellent Communicator with ...

with Threat Intelligence or Cyber Data Domains, including structured and unstructured sources such as text, imagery, and network telemetry. Knowledge of AI/ML, NLP, and Data Analytics, particularly as applied to extraction, classification, or clustering. Strategic Prioritizer who can focus limited resources on the most impactful initiatives. Excellent Communicator ...

tools and practices, such as Docker, Terraform and MLFlowConfidence influencing and communicating with stakeholders across technical and non-technical teamsIdeally, 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 ...

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 ...

Research Engineer, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to contribute to our proprietary … Master's degree in Computer Science, Engineering, or a relevant discipline (or equivalent practical experience)3+ years of hands-on experience building ML/NLP/AI systems with strong software engineering practicesDemonstrated expertise in building production-quality code and data pipelines for ML systemsProficiency in modern AI development frameworks ...

engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG) for enterprise use cases. The ideal candidate has a strong foundation in machine learning and NLP, with hands‐on experience in modern GenAI tools and frameworks such as OpenAI, LangChain, Hugging Face, Vertex AI, Bedrock, or similar. As part of your … duties, you will be responsible for: Design and build Generative AI solutions using Large Language Models (LLMs) for business problems across domains like customer service, document automation, summarization, and knowledge retrieval. Fine-tune or adapt foundation models using domain-specific data. Collaborate with data engineers, MLOps, and product teams ...

compliance space using AI and data analysis.Core to their product is technology as well as the ability to automatically analyse very unclean data using natural language processing. This role works closely with the dev team who use Ruby and Java.As a DevOps engineer you will be involved with ...

compliance space using AI and data analysis.Core to their product is technology as well as the ability to automatically analyse very unclean data using natural language processing.The Data Science role has come around due to massive growth within the firm, currently standing at 45 people. The role will ...

with senior data scientists, engineers, and domain experts to deliver AI-powered research tools used by researchers worldwide. The role focuses on applied AI, NLP, information retrieval, and LLM-based applications, with opportunities to scale AI-powered workflows and contribute to responsible AI practices. #J-18808-Ljbffr ...

Content Product Analytics. The role emphasizes understanding user behavior, experimentation, and causal inference to inform product decisions. The successful candidate will design ML/NLP models, build scalable data pipelines, and mentor a team of scientists and engineers while collaborating with cross-functional partners to influence roadmaps and dashboards across ...

ideal candidate will have over 5 years of experience in AI systems, proficiency in Python and frameworks like TensorFlow, as well as expertise in NLP and deep learning. This position offers generous benefits and a hybrid work model. #J-18808-Ljbffr ...

NLP PEOPLE is searching for a Principal Machine Learning Engineer in Greater London. In this pivotal role, you'll provide technical leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems ...

with cross-functional teams, including product development, engineering, and client services, to align data initiatives with business goals. Design, implement, and optimize ML and NLP models to enhance our privacy-focused product offerings and improve client experiences. Maintain comprehensive documentation of data processes, models, and analytical methodologies. Job requirements – Software ...

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 ...

HaveExposure to more advanced statistical methods and causal inference techniques — e.g. propensity scoring, synthetic controls, difference-in-differences, Bayesian approaches Familiarity with LLMs or NLP tooling for analytics use cases (e.g., content classification, dataset enrichment)Experience in travel or e-commerce; understanding of two-sided marketplace dynamics, geo-based demand ...

identify and implement high-impact processes in unstructured environments.Comfortable working with Python and Assistive Coding toolsPreferred: 2+ years architecting, deploying or consulting on NLP/AI/LLM SolutionsPreferred: Fluency in Swedish, Danish or NorwegianMust have: Professional fluency in English (business and technical)Please note: for this role ...

DevOps-oriented workflow Apply strong knowledge of ML techniques, from supervised/unsupervised learning through to emerging methods in generative ai and large language models What We’re Looking For: Essential Skills & Experience Proven experience solving complex, real-world problems using data science and analytics Strong Python skills (pandas … stakeholders Ability to align analytical outputs with broader business objectives Someone with 1-3 years of industry experience Desirable Skills Experience using R and NLP or deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs) Familiarity with generative AI and prompt engineering Experience with Azure Databricks, MLflow, Azure ...

Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We focus on advanced algorithms and training techniques for Large Language Models (LLMs) and Data-Centric Machine Learning.While our Research Scientists push the boundaries of what models can do, the Research Engineering team defines … platform or ML tooling product, including defining adoption metrics and iterating based on user research.Background in Platform Engineering.Experience contributing to open-source LLM or NLP libraries.As part of the application process, please include a brief written blurb (300–500 words) describing a sufficiently complex or technically interesting project that ...

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 ...