51 to 75 of 143 Natural Language Processing Jobs in London

Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude ...

making the world safer by empowering the human mind with the right information at the right time. Scope of Work: Design and improve NLP models for text analysis, entity recognition, and relationship extraction from web content Analyze data to identify patterns and insights that can enhance our platform's capabilities … Apply responsible AI practices in all aspects of model development Analyze model performance, diagnose issues, and recommend improvements Research and evaluate emerging technologies in NLP, information retrieval, and ML Document methodologies, model architectures, and experimental results Mentor junior team members and contribute to the data science community of practice Your ...

making the world safer by empowering the human mind with the right information at the right time. Scope of Work: Design and improve NLP models for text analysis, entity recognition, and relationship extraction from web content Analyze data to identify patterns and insights that can enhance our platform's capabilities … Apply responsible AI practices in all aspects of model development Analyze model performance, diagnose issues, and recommend improvements Research and evaluate emerging technologies in NLP, information retrieval, and ML Document methodologies, model architectures, and experimental results Mentor junior team members and contribute to the data science community of practice Your ...

high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. Additional Info ...

learn fixed income products, electronic trading workflows, and market data structures. Desirable Experience with Bloomberg data feeds or financial market data. Familiarity with NLP techniques for unstructured data analysis. Exposure to time-series forecasting or real-time analytics platforms. Understanding of regulatory reporting requirement ...

learn fixed income products, electronic trading workflows, and market data structures. Desirable Experience with Bloomberg data feeds or financial market data. Familiarity with NLP techniques for unstructured data analysis. Exposure to time-series forecasting or real-time analytics platforms. Understanding of regulatory reporting requirement ...

quantitative discipline (e.g., Maths, Physics, Computer Science). Strong expertise in AI, ML, and statistical methods applied across multiple domains (NLP, vision, audio, time series, tabular data). Proficient in Python and relevant ML/data science libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers). Experience with cloud-based ...

. NET , Python, SQL, APIs , Azure, Power Platform, SaaS , PaaS , IaC . Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP , MCP etc . Experience in architecture and software development methodologies , and design techniques e.g. Agile, C4, UML , TOGAF , Microsoft Well-Architected Framework , design patterns . ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small ...

plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small ...

plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small ...

perspective, we’re looking for people with experience with the following: Early stage AI startup experience, ideally zero to one Developed, trained and deployed NLP models, including pre LLM approaches such as BERT Strong experience with modern LLMs and fine tuning, including OpenAI GPT, Anthropic Claude and LLaMA Cloud ...

perspective, we’re looking for people with experience with the following: Early stage AI startup experience, ideally zero to one Developed, trained and deployed NLP models, including pre LLM approaches such as BERT Strong experience with modern LLMs and fine tuning, including OpenAI GPT, Anthropic Claude and LLaMA Cloud ...

OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required) Interest in real estate Interest in finance or quantitative modelling Experience building agents (LangChain, LlamaIndex, custom architectures) What We Offer ...

dense retrieval, re-ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search, pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and Partners’ research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition ...

plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small ...

ability to analyse client problems and creatively apply data science to deliver ROI. Hands-on experience building and evaluating machine learning models (e.g., clustering, NLP, deep learning). Proficiency in feature engineering and data discovery for model development. Familiarity with AI tooling such as fine-tuning, retrieval-augmented generation ...

ability to analyse client problems and creatively apply data science to deliver ROI. Hands-on experience building and evaluating machine learning models (e.g., clustering, NLP, deep learning). Proficiency in feature engineering and data discovery for model development. Familiarity with AI tooling such as fine-tuning, retrieval-augmented generation ...

OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate ...

OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate ...

knowledge sharing and mentoring Desirable Experience in healthcare or life sciences consulting Familiarity with healthcare data standards, sources, and regulatory environments Exposure to NLP and advanced AI techniques Experience working with big data technologies or frameworks Working Model & Flexibility This role follows a hybrid working model, balancing in-person collaboration ...

knowledge sharing and mentoring Desirable Experience in healthcare or life sciences consulting Familiarity with healthcare data standards, sources, and regulatory environments Exposure to NLP and advanced AI techniques Experience working with big data technologies or frameworks Working Model & Flexibility This role follows a hybrid working model, balancing in-person collaboration ...

learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care … hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization. Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language ...