351 to 375 of 1,548 Natural Language Processing Jobs in the UK

Amazon looking to push the boundaries of AI through science-led evaluations. If you're ambitious to make a difference to the future of AI, have a PhD in NLP, and like to turn ideas into reality, we'd love to hear from you. Role We are developing adversarial tests for Large Language Models (LLMs). We are looking … Chief Scientist to design, develop and deploy evaluation technologies that will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. … conference papers. Collaborate with engineers, product partners locally and abroad, and join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM More ❯

Amazon looking to push the boundaries of AI through science-led evaluations. If you're ambitious to make a difference to the future of AI, have a PhD in NLP, and like to turn ideas into reality, we'd love to hear from you. Role We are developing adversarial tests for Large Language Models (LLMs). We are looking … Chief Scientist to design, develop and deploy evaluation technologies that will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. … conference papers. Collaborate with engineers, product partners locally and abroad, and join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM More ❯

about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI. Critical … study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS, GCP, or Azure Open source involvement More ❯

Amazon looking to push the boundaries of AI through science-led evaluations. If you're ambitious to make a difference to the future of AI, have a PhD in NLP, and like to turn ideas into reality, we'd love to hear from you. Role We are developing adversarial tests for Large Language Models (LLMs). We are looking … Chief Scientist to design, develop and deploy evaluation technologies that will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. … conference papers. Collaborate with engineers, product partners locally and abroad, and join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM More ❯

performance, reliability, and scalability. Design and implement data architectures for real-time search using OpenSearch. Develop strategies to handle large-scale data storage, retrieval, and analysis. AI and Large Language Models … LLMs): Lead efforts to integrate Large Language Models (LLMs) (e.g., GPT, BERT) into products and workflows. Implement AI/ML pipelines for natural language processing (NLP), recommendations, and automation. Evaluate and recommend new AI technologies to improve user experience and business outcomes. Web Scraping: Design and implement web scraping systems for gathering structured data from the … cloud infrastructure, particularly in scaling and securing applications. Expertise in database management, particularly with PostgreSQL and OpenSearch. Strong background in implementing and managing AI/ML systems, including Large Language Models (LLMs). Experience with web scraping tools and techniques, including managing legal, ethical, and performance considerations. Experience in agile development practices and working with cross-functional teams. Experience More ❯

capabilities of our company and are looking to hire a Senior AI Engineer focused on building Data Agents . This role will also involve developing tools to transform plain language questions into actionable insights, including SQL query generation, entity matching, and data visualisations. If you have a passion for leveraging generative models and are excited about implementing cutting-edge … the future of AI-powered data applications. We offer a competitive salary and an environment that fosters continuous learning and innovation. Key Responsibilities Develop Data Agents capable of interpreting natural language questions into SQL queries, data insights, and visualisations. Create domain-agnostic tools to support the development of Data Agents (e.g., entity matching algorithms). Implement and fine … tune large language models (LLMs) for domain-specific data analysis tasks. Collaborate with cross-functional teams to integrate Data Agents into our Data and AI Operating System. Stay current with the latest AI research and apply novel techniques to solve complex problems. Requirements MSc or PhD in Data Science, AI, ML, or Computer Science. 5+ years of experience in More ❯

CircleCI, GitLab, Azure DevOps). Up-to-date knowledge of security practices, standards, and protocols related to API development. Deep knowledge and use of at least one common programming language: e.g., Python, Scala, Java, including toolchains for documentation, testing, and operations/observability. Experience with API management platforms and tools (e.g., Apigee, AWS API Gateway, Postman). Deep expertise …/triggers in API systems. Familiarity with webhooks, message queues, and pub/sub systems. Ability to design API integrations that enable real-time data updates and notifications. Optional NLP experience (named entity recognition, text classification). Familiarity with mass tagging, document evaluation methodologies. Apply NLP techniques to API development for advanced text processing, automated document evaluations, and natural language search. Closing Date for Applications: Tuesday 1st April 2025 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as More ❯

about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI. Critical … study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS, GCP, or Azure Open source involvement More ❯

production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices. Manage version control using Git and collaborate with team members on More ❯

million students a year. Key Responsibilities: 1. Design and implement AI-driven hybrid ETL/ELT pipelines using Python and LLMs: Build scalable ETL workflows that utilize large language models … to extract structured and unstructured data from diverse sources such as PDFs, emails, logs, and web content, enhancing data coverage and flexibility. 2. Develop intelligent data extraction solutions using NLP and machine learning techniques: Apply LLMs and NLP models to identify, extract, and transform complex data entities and relationships from semi-structured or free-text sources, enabling automation of previously … manual processes. 3. Ensure accuracy and consistency in AI-powered data transformations: Implement data quality checks, context-aware validations, and post-processing logic to refine outputs from LLM-based extraction, ensuring reliability and business compliance. 4. Collaborate with data scientists and AI teams to fine-tune models for domain-specific extraction tasks: Partner with cross-functional teams to train More ❯

teams and delivering results in a timely way. Demonstrable technical knowledge and skills in at least one of the following domains: statistics/mathematical statistics, machine learning, deep learning, natural language processing, Bayesian inference. If you would like to find out more about this fantastic opportunity, please read our Job Description and Person Specification! Please note: The … based on the lead criterion of candidates having demonstrable technical knowledge and skills in at least one of the following domains: mathematical modelling and simulations, machine learning, deep learning, natural language processing, Bayesian inference. Applicants are assessed on whether they meet any mandatory requirements as well as the necessary skills and experience for the role. Applications are More ❯

to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Demonstrate understanding of navigating AI best practices within an Azure Data Engineering environment. Conduct data analysis and preprocessing to prepare datasets for More ❯

to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Demonstrate understanding of navigating AI best practices within an Azure Data Engineering environment. Conduct data analysis and preprocessing to prepare datasets for More ❯

to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Demonstrate understanding of navigating AI best practices within an Azure Data Engineering environment. Conduct data analysis and preprocessing to prepare datasets for More ❯

integrating PolyAI into their daily customer service workflows. We are looking for a Senior Research Scientist to join our world-class team and lead cutting-edge work on large language model (LLM) post-training. This is not just about applying standard fine-tuning techniques - it's about building the future of dialogue systems with novel approaches to reasoning, reinforcement … teams to ensure responsible use of data and models. Stay current with academic and industry advances in LLMs, ASR, TTS, RLHF, and multimodal learning. Requirements: PhD in Machine Learning, Natural Language Processing, Computer Science, or a related field. 5+ years of hands-on experience in deep learning. Proven track record of research innovation, including published work or More ❯

and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data science solutions. More ❯

and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data science solutions. More ❯

and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data science solutions. More ❯

and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data science solutions. More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯