26 to 50 of 334 Natural Language Processing Jobs in London

completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/… feature engineering, model development, validation, and deployment to production environments.Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g., large language models, diffusion models, or generative adversarial networks).Experience building and deploying Generative AI solutions ...

Avanti Recruitment is working with a growing SaaS technology company to recruit a Mid-Level NLP Engineer to join a specialist team building and supporting production NLP and document-processing technology. This is a hands-on engineering role focused on improving how a live software platform extracts and processes … information from complex documents. You will work closely with a Senior NLP Specialist, initially supporting the existing production environment and gradually taking ownership of larger features and new functionality. What you'll be doing Developing and maintaining Python-based NLP and document-processing services Extracting and processing information ...

interested in working with data and analytics to solve problems Are you interested in bringing your GenAI, ML and NLP expertise to projects About our TeamData Science Life Sciences is a diverse team focusing on GenAI, ML, NLP. We mainly develop best-in-class enrichment pipelines for Elsevier’s life … deployment of cutting-edge Gen AI models and solutions. You will be responsible for building, testing, and maintaining our Gen AI, RAG and NLP solutionsYou will work throughout the whole life cycle of data science projects: design, implementation, production and beyond. You will deliver efficient and production-ready Python code. ...

demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions.· Solid understanding of foundational statistics and experimental design.· Familiarity with or experience on cloud platformsImpact and Achievements ...

build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization, and developing and maintaining production-grade agentic RAG systems that serve … such as AWSTechnical Concept RequirementsExperience in any of the following AI/ML topics within a work context: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions with the ability to discuss in depth the design decisions.Experience in any of the following ...

build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization, and developing and maintaining production-grade agentic RAG systems that serve … such as AWSTechnical Concept RequirementsExperience in any of the following AI/ML topics within a work context: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions with the ability to discuss in depth the design decisions.Experience in any of the following ...

build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization, and developing and maintaining production-grade agentic RAG systems that serve … AWSTechnical Concept Requirements* Experience in any of the following AI/ML topics within a work context: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions with the ability to discuss in depth the design decisions.* Experience in any of the following ...

trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks.Drive community growth and platform adoption through thought leadership activities, including the creation … cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoringData Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAIHands-on experience working ...

sound architecture decisions. Demonstrated experience with AI/ML technologies, including LLMs, Retrieval Augmented Generation (RAG), agentic workflows, Natural Language Processing (NLP), and predictive analytics, and the discipline to run them reliably in production. Track record of building on shared enterprise data platforms (for example Snowflake ...

trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. Drive community growth and platform adoption through thought leadership activities, including the creation …/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine‐tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI. Hands‐on experience working ...

Role**The Strategic Communications practice of FTI Consulting offers specialist expertise across a variety of disciplines and sectors including financial services, retail and consumer, natural resources, energy, public affairs, real estate, professional services, technology media telecoms (TMT), healthcare and life sciences.Our Digital & Insights practice is seeking an intellectually curious … pitches to drive organizational results* Support with embedding innovation across the firm and increasing data maturity, especially around GenAI adoption and developments within Natural Language ProcessingExamples of client challenges the team has solved include:* Establishing key influencers and narrative risks posing a threat to a global merger* Conducting ...

including customer service, supply chain optimization, recommendation systems, and internal operations.Develop robust agent architectures, incorporating machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques.Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow.Conduct research and experimentation with … systems.Strong proficiency in programming languages such as Python, Java, or C++.In-depth understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques.Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures.Solid understanding of software engineering principles, including design patterns, data structures, and algorithms.Familiarity ...

RoleThe Strategic Communications practice of FTI Consulting offers specialist expertise across a variety of disciplines and sectors including financial services, retail and consumer, natural resources, energy, public affairs, real estate, professional services, technology media telecoms (TMT), healthcare and life sciences.Our Digital & Insights practice is seeking an intellectually curious … decks and pitches to drive organizational resultsSupport with embedding innovation across the firm and increasing data maturity, especially around GenAI adoption and developments within Natural Language ProcessingExamples of client challenges the team has solved include:Establishing key influencers and narrative risks posing a threat to a global mergerConducting ...

trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. Drive community growth and platform adoption through thought leadership activities, including the creation …/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine‐tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI. Hands‐on experience working ...

complex data environments.ML Lifecycle Expertise: Hands-on experience working across model training, evaluation, and deployment (utilizing frameworks around Machine Learning, AI, Neural Networks, or NLP).Programming Skills: Strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability.Data Fundamentals: Solid hands-on experience building static … Code/GSoC).Experience with specialized ML architectures such as Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), or Transformers/LSTMs.Familiarity with real-time streaming data pipelines (e.g., Kafka).Domain experience within Fintech, E-commerce, or fast-scaling tech companies.Additional InformationInterested? Find ...

data environments. ML Lifecycle Expertise: Hands-on experience working across model training, evaluation, and deployment (utilizing frameworks around Machine Learning, AI, Neural Networks, or NLP).Programming Skills: Strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability. Data Fundamentals: Solid hands-on experience building … Code/GSoC).Experience with specialized ML architectures such as Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), or Transformers/LSTMs. Familiarity with real-time streaming data pipelines (e.g., Kafka).Domain experience within Fintech, E-commerce, or fast-scaling tech companies. Additional ...

data environments. ML Lifecycle Expertise: Hands-on experience working across model training, evaluation, and deployment (utilizing frameworks around Machine Learning, AI, Neural Networks, or NLP).Programming Skills: Strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability. Data Fundamentals: Solid hands-on experience building … Code/GSoC).Experience with specialized ML architectures such as Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), or Transformers/LSTMs. Familiarity with real-time streaming data pipelines (e.g., Kafka).Domain experience within Fintech, E-commerce, or fast-scaling tech companies. Additional ...

data environments. ML Lifecycle Expertise: Hands-on experience working across model training, evaluation, and deployment (utilizing frameworks around Machine Learning, AI, Neural Networks, or NLP). Programming Skills: Strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability. Data Fundamentals: Solid hands-on experience …/GSoC). Experience with specialized ML architectures such as Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), or Transformers/LSTMs. Familiarity with real-time streaming data pipelines (e.g., Kafka). Domain experience within Fintech, E-commerce, or fast-scaling tech companies. ...

Experience Experience or exposure to any of the following would be advantageous: Artificial Intelligence or Machine Learning projects Natural Language Processing (NLP) or Conversational AI Product Management methodologies Agile Scrum or Kanban environments Search technologies or recommendation systems SQL, Power BI, Adobe Analytics, or similar data tools ...

FreeSWITCH or Asterisk communication engines. Speech AI Integration: Implement Speech-to-Text (STT), Text-to-Speech (TTS), and Natural Language Processing (NLP) workflows into live voice streams. Cloud Operations: Deploy and monitor voice applications across AWS, Azure, and Google Cloud Platform (GCP). Troubleshooting: Use network analysis … drops, and latency problems. Team Collaboration: Work alongside senior architects and DevOps teams to roll out scalable conversational AI bots. Required Skills & Qualifications Core Language: Professional experience with Java, including multi-threading and network programming. In depth knowledge of Java Good knowledge of java applications using JAIN SLEE framework ...

statistical fundamentals to complex data environments Have hands-on experience across model training, evaluation, and deployment using Machine Learning, AI, Neural Networks, or NLP frameworks Demonstrate strong proficiency in Python or Java for data scripting and production engineering Have advanced SQL skills Build static data pipelines and conduct deep-dive … competitions, or Google Summer of Code/GSoC experience with Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), Transformers, or LSTMs familiarity with real-time streaming data pipelines such as Kafka domain experience in Fintech, E-commerce, or fast-scaling tech companies Условия ...

Engineer - LLMs, NLP & Market Intelligence Location: London – hybrid, 2+ days a week in our Vauxhall office Employment type: Full-time, permanent Experience: Typically 2–4 years Build AI systems that interpret global markets in real time Permutable is building market intelligence infrastructure that helps financial institutions understand what is happening … trading teams. We are looking for an exceptional AI Engineer to join our London engineering team and help build the next generation of our NLP, LLM and market intelligence systems. This is a hands-on engineering role for someone who wants considerably more ownership than they are likely ...

play a crucial part in developing and refining our product. If you are passionate about machine learning, have a background generative AI and natural language processing, and thrive in a collaborative and high-impact environment, we'd love to hear from you!What you will do :- Work … benchmarking to assess the performance of various models and architectures- Continuously research and stay up-to-date with recent advancements in agentic architecture, NLP and large language models, applying novel techniques and methodologies to improve our features.ð§Listen to our podcast on Pigment’s GenAI teamðRead more about ...

experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing ...

maintain robust ML and data pipelines for experimentation and deployment.Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process.Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers.Explain ML/NLP model outputs and methodologies to non-technical stakeholders.You … required.Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.).Proven experience developing, refining, and monitoring NLP models.Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required.Understanding model evaluation methods and metrics.Ability to operationalize ...