326 to 350 of 379 Natural Language Processing Jobs in England

first instinct. You'll be instrumental in: Strategic Data Leadership : Architect and build product data infrastructure to transform review data into actionable merchant insights NLP/ML Development : Create models that analyse review content, identify trust patterns, and establish merchant benchmarks Pipeline Architecture : Build scalable systems that efficiently process our … You'll Bring Must-Haves 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models More ❯

team DESCRIPTION Amazon EU Customer Fulfillment Learning and Development is seeking an Applied Scientist to lead the development of next-generation learning products using NLP and GenAI. In this role, you will act as the GenAI subject matter expert, working closely with scientists, business intelligence engineers, instructional designers, and other … EU, making an impactful difference in their journey. Key job responsibilities Apply technical expertise to lead the development of innovative AI solutions, focusing on NLP and GenAI technologies that drive impactful learning experiences and operational improvements. Work closely with cross-functional teams, including scientists, engineers, instructional designers, and business stakeholders … related field Experience in building models for business application Experience programming in Java, C++, Python or related language Strong understanding of GenAI or NLP fundamentals and passionate about the latest research in this field Proficiency in designing and implementing large-scale data pipelines, and cloud-based data infrastructure PREFERRED More ❯

with very large datasets; familiarity with parallel programming or parallel algorithms development; familiarity with machine learning concepts, data mining, knowledge discovery, and information retrieval (NLP & Semantic Analysis); strong background in Math, Statistics, and Engineering concepts; demonstrated leadership attributes. Optimal Qualifications: Masters or PhD in Computer Science or related field (Statistics … with very large datasets; experience with parallel programming or parallel algorithms development; experience with machine learning concepts, data mining, knowledge discovery, and information retrieval (NLP & Semantic Analysis); strong background in Math, Statistics, and Engineering concepts; experience with Graph Analysis, Recommender Systems (Collaborative Filtering), and probabilistic algorithms; staff supervisory or management … experience. Educational level: Master Degree Level of experience (years): Mid Career (2+ years of experience) How to apply: Please mention NLP People as a source when applying. More ❯

a deep-tech start-up looking for an experienced AI Engineer to join their expanding team. This role focuses on developing Neural Network-based NLP and Computer Vision algorithms, working alongside institutional, academic, and commercial partners. The Role • Develop/refine AI models for NLP • Design new scientific methods & experimental … Clearance (or eligible for SC Clearance) • MSc/PhD in CS, Engineering, Maths or relevant field (or equivalent experience) • Expertise in Neural Network-based NLP & LLM • Strong Python skills • Collaborative, analytical, and problem-solving mindset Gen AI Engineer – Hybrid (Oxford 2 Days/Week) – £100,000+ – SC Clearance Required More ❯

ensuring alignment with Faculty's long-term goals. Conduct and oversee the development of cutting-edge AI safety research, with a focus on large language models and other safety-critical AI systems. Publish high-impact research in leading conferences and journals (e.g., NeurIPS, ACL, ICML, ICLR, AAAI). Support … are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI More ❯

Company: Gendo Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , NLP , United Kingdom More ❯

experience - 3+ years of experience in cloud architecture and implementation - 3+ years professional software development experience, including experience programming with at least one software language, and 3+ years of design or architecture (design patterns, reliability and scaling) of new and existing systems. - 3+ years of relevant experience in developing … and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models. PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of … applied environment - Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2, as well as experience with machine learning, deep learning, NLP, generative AI, distributed training, and model hosting Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability More ❯

maintain the a wide range of AI models which underpin our platform. This includes specific expertise in emerging methods for Graph based model and NLP models. Our MLOps team is tasked with automating and maximizing efficiency of the build, deployment and maintenance of all model types. We are seeking a … beneficial: Experience implementing model governance e.g. model versioning, drift reporting etc. Experience with MLOps tools such as MLFlow, Kubeflow, or DVC. Experience with distributed processing systems like Spark (Scala and PySpark would be invaluable). Experience with LLMs, and/or RAG architecture. Experience optimizing model inference for GPUs More ❯

ensuring seamless integration of AI technologies with existing systems. AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform's capabilities, optimize processes, and improve user experiences. Platform Development: Design, develop, and maintain scalable AI platform features to enable feature … Azure Machine Learning is a plus. Serverless Architectures: Exposure to serverless architectures, ideally edge compute environments such as Cloudflare Workers. Problem-Solving Skills: A natural problem-solver who brings forward innovative ideas to integrate and features within product workflows, leading to practical solutions and product growth. Collaborative Mindset: Strong More ❯

Engineer to drive their AI innovation at scale. They are looking for someone to lead a dynamic team in designing and deploying AI, ML, NLP, and Generative AI solutions that will shape business models and deliver tangible impact on profitability, sales, customer experience, and operational efficiency. What You'll Do … implement AI methodologies that solve complex challenges. Oversee/mentor a team of Machine Learning engineers and Data Scientists, pioneering advancements in deep learning, NLP, and Generative AI. Leverage internal and external data sources to develop AI-powered business models that drive growth and efficiency. Your ideal background … years of AI leadership/engineering experience, with a track record of delivering business impact. Deep expertise in Generative AI, Large Language Models, NLP, and deep learning. Strong problem-solving skills, adaptability, and excellent communication. Experience leading ML Engineers and Data Scientists in building AI models. Familiarity with the More ❯

messages across all digital touchpoints. This includes working with multi-modal data such as images, text, and more, leveraging cutting-edge technologies including Large Language Models (LLMs). This is an exciting opportunity at the forefront of machine learning, helping to bring Accessible Intelligence to our customers with great … scoring processes for hosted models. Best Bits of the Job Exposure to a phenomenal array of machine learning domains, including massive-scale search, ranking, NLP, hybridization, classification, multi-modal data processing (images, text, etc.), and far beyond. Leveraging state-of-the-art technologies, including Large Language Models (LLMs … to enhance our products and services. Fully real-time architecture for data processing, model development, and deployment. Deploying and enhancing ML frameworks, optimizing for inference, and training/retraining cycles. Online testing for models with live data using proprietary A/B/N testing technology to rapidly determine More ❯

edge technical infrastructure. You will have the opportunity to contribute to a data curation & filtering system combining the best of real-world scalable data processing systems combined with the latest insights into what training data leads to the best LLMs. Thomson Reuters Labs is known for consistently delivering successful … discipline. Interest in & experience working with (applied) machine learning, e.g. few-shot learning with out-of-the-box language models, training of smaller NLP classifiers, etc. Excellent programming, debugging and system design skills. Excellent communication skills to report and present software designs and findings clearly, both orally and in … Hadoop, or similar. Experience conducting world-leading research, e.g. by contributions to publications at leading ML venues. Previous experience working on large-scale data processing systems. Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries. What's in it For More ❯

with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI systems. Collaborate with product … CD practices, ensuring seamless and reliable model deployments. What you bring: Experience within a startup with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of More ❯

with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI systems. Collaborate with product … CD practices, ensuring seamless and reliable model deployments. What you bring: Experience within a startup with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of More ❯

strategic platforms for onboarding clients through proactive management of the f2b onboarding process. This also involves projects requiring document and data digitization through various NLP techniques where the developer works in close partnership with the R&D team involving new machine learning methodologies, setting the stage for STP and full … respect to highly confidential/sensitive information Integrity, ethical standards, and sound judgment Expert Knowledge in One Or More Of Programming in a compiled language such as Java or C++, or an interpreted language such as Python, and experience with concurrency and memory management. Responsive web development, with More ❯

will also be considered. Key requirements: Python as core programming language SQL Data modelling Machine learning Marketing data science Azure (nice to have) NLP (nice to have) The role is hybrid with 2 days a week in the Liverpool city centre office and is paying up to More ❯

Role: AI & NLP Trainer Location: Hybrid - London/Remote working Employment Type: Full-Time About the Role Are you passionate about AI, and wanting to educate people on it? Our client is looking for a dynamic AI Instructor to design, developer & deliver cutting-edge training programs in NLP and Chatbot … immersive workshops, and equip professionals across industries with the skills to build intelligent conversational systems. What you’ll be doing: Design & Develop Training on NLP, chatbot architecture, LLMs, and voice interfaces. Deliver hands on, interactive training on the latest tools & technologies within NLP & Conversational AI to internal staff & external clients. … Tailor training content to client needs & requirements Stay up to date with all of the latest advancements, tools & technologies within AI, NLP & ML Requirements: Previous Training experience Previous Teaching/Lecturing experience (Lecturer/Tutor/Trainer/Teacher/Educator/Professor/Instructor) NLP & Conversational AI experience (Dialogflow More ❯

Role: AI & NLP Trainer Location: Hybrid - London/Remote working Employment Type: Full-Time About the Role Are you passionate about AI, and wanting to educate people on it? Our client is looking for a dynamic AI Instructor to design, developer & deliver cutting-edge training programs in NLP and Chatbot … immersive workshops, and equip professionals across industries with the skills to build intelligent conversational systems. What you’ll be doing: Design & Develop Training on NLP, chatbot architecture, LLMs, and voice interfaces. Deliver hands on, interactive training on the latest tools & technologies within NLP & Conversational AI to internal staff & external clients. … Tailor training content to client needs & requirements Stay up to date with all of the latest advancements, tools & technologies within AI, NLP & ML Requirements: Previous Training experience Previous Teaching/Lecturing experience (Lecturer/Tutor/Trainer/Teacher/Educator/Professor/Instructor) NLP & Conversational AI experience (Dialogflow More ❯

deployment, and design, deploy, and operate a full-stack system. Areas to improve will include replacing existing workflows with advanced machine learning algorithms, including NLP and ensemble methods using powerful data munging, ML pipelines with advanced algorithms fully deployed for speed and accuracy with graphical user interface (GUI). You … will also participate in software development meetings with the CEO, CTO, CIO, V.P of Data Processing and Governance, and V.P of Software Engineering and Advanced Analytics to determine technical requirements and will undergo a formal approval, review, and voting by representatives for security impact analysis (the Change Approval Board More ❯

and anomaly detection. You need to know the concept and be handly with the most common libraries. Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. Develop Monitoring Systems: Create and support robust models for monitoring. Support and Innovate: Assist with a … with third-party APIs is essential. Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions. Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. Infra: Deep Knowledge of Docker, Git, cloud networking, and More ❯

space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building … or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with More ❯

space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building … or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with More ❯

In this role you will: Drive machine learning projects across recommenders, segmentation, forecasting and optimising marketing spend Work on advanced projects across GenAI and NLP Work closely with an Engineering team, whilst remaining full stack in your projects Report into Head of Data Science Driving commercial value closely with senior … is required Experience across some of recommenders, forecasting, pricing, churn, marketing etc. - this is a role for a generalist! Exposure to some of GenAI, NLP, Computer Vision is a bonus MSc in a STEM subject (Maths, Physics, Data Science, Computer Science, Engineering etc.) Strong communication skills, and commercially driven Experience More ❯

In this role you will: Drive machine learning projects across recommenders, segmentation, forecasting and optimising marketing spend Work on advanced projects across GenAI and NLP Work closely with an Engineering team, whilst remaining full stack in your projects Report into Head of Data Science Driving commercial value closely with senior … is required Experience across some of recommenders, forecasting, pricing, churn, marketing etc. - this is a role for a generalist! Exposure to some of GenAI, NLP, Computer Vision is a bonus MSc in a STEM subject (Maths, Physics, Data Science, Computer Science, Engineering etc.) Strong communication skills, and commercially driven Experience More ❯

first instinct. You'll be instrumental in: Strategic Data Leadership : Architect and build product data infrastructure to transform review data into actionable merchant insights NLP/ML Development : Create models that analyse review content, identify trust patterns, and establish merchant benchmarks Pipeline Architecture : Build scalable systems that efficiently process our … You'll Bring Must-Haves 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models More ❯