26 to 50 of 148 Natural Language Processing Jobs in the UK

environment. Strong programming skills in Python. Experience in building and evaluating production-ready machine learning models. Experience with Natural Language Processing (NLP) techniques. Experience working with real-world datasets formed by unstructured data. Solid understanding of fundamental concepts of data science. Experience working with Numpy and PyTorch. … Experience working with cloud environments is not essential, but it would be beneficial. Experience with Large Language Models is highly desirable. Ideal Characteristics Excellent analytical skills and attention to detail Hard-working, responsible Loves learning and gets things done Good communication skills working within a team About WiseTech Global more »

visionary Directors with a passion for innovation, particularly in the realms of Machine Learning (ML), Artificial Intelligence (AI), Natural Language Processing (NLP), Data Analytics, and beyond. Join us in London and lead the charge towards transformative change in the consulting landscape. About Us: Our client stands at … operational excellence. The Opportunity: As a Director, you will spearhead initiatives at the intersection of consulting and technology, harnessing the power of ML, AI, NLP, Data Analytics, and other emerging tools to drive innovation and deliver unparalleled value to clients. This role offers a unique opportunity to shape the future … leading high-impact projects in London and beyond. Responsibilities: Lead cross-functional teams in the design and implementation of innovative solutions, leveraging ML, AI, NLP, and advanced analytics to address complex business challenges. Collaborate closely with clients to understand their needs and objectives, providing strategic guidance and thought leadership on more »

to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and more »

a Big Data Expert with 7 to 10 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and more »

related field, or equivalent work experience Preferred Qualifications Experience with financial data analysis and investment strategies Knowledge of natural language processing (NLP) techniques Previous work in a startup environment or fintech industry Join us in shaping the future of retail investing through cutting-edge AI technology. Apply more »

a Big Data Expert with 2 to 5 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and more »

experience: Previous experience in developing AI-powered applications Strong background in AI and machine learning concepts Familiarity with natural language processing (NLP) and related technologies Experience in API integration for AI capabilities Exposure to some JavaScript technologies or Python would be advantageous Knowledge of data security and more »

Collaborate with cross-functional teams to understand business requirements and design chatbot workflows that meet customer needs. Implement natural language processing (NLP) capabilities to enable conversational interactions and enhance user experience. Integrate chatbots with backend systems, APIs, and third-party services to provide seamless end-to-end … CloudCX platform or similar technologies. Proficiency in programming languages such as JavaScript, Python, or Java, with experience in chatbot development frameworks. Strong understanding of NLP techniques, including intent recognition, entity extraction, and dialogue management. Experience integrating chatbots with backend systems, APIs, and databases. Excellent problem-solving skills and the ability more »

technologies and respective Transformation Programs, e.g. Data Stratgy, Data Governance, Data Management, Data Preparation, Data Architecture, Data Engineering, Data Analytics, Data Science, Neural Networks, Natural Language Processing, Large Language Models, AI inferencing, AI training methodologies, key application architecture and integration concepts, container- and virtualization architetctures and more »

Demonstratable experience developing & delivering Machine Learning strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable TO BE CONSIDERED…. Please … look forward to hearing from you. MACHINE LEARNING ENGINEER KEY SKILLS: PRINCIPAL DATA SCIENTIST/LEAD DATA SCIENTIST/MACHINE LEARNING/ML/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURAL more »

generative models, segmentation, object detection, classification, model optimisations Experience working with machine learning frameworks such as PyTorch, TensorFlow or Keras Experienced with foundational Large Language Models (LLMs) APIs Experience in LLMs quantitative analysis Exposure to MLOps practices Familiarity with version control systems (e.g. Git) and agile development methodologies Preferred … Qualifications Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field 3+ years experience writing production ready code Prior experience with AWS Cloud stack (SageMaker, EC2, Lambda, S3, RDS) Benefits Competitive salary Remote working Participation in our share option scheme more »

data-driven solutions. Effective communication and presentation skills, with the ability to translate complex technical concepts into actionable insights. Knowledge of deep learning and natural language processing techniques. more »

related discipline; advanced degree preferred. Demonstrated success in designing and delivering AI solutions within the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud more »

to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public … for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g. … Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance more »

which enables searching through half a million pages documenting climate action, by government, worldwide. Harnessing data science and AI, and pioneering the application of natural language processing to this domain, our work unlocks previously inaccessible, unstructured data. This serves to enhance accountability, and promote data democratisation, transforming … supporting data partners in curating large libraries of climate-related documents. Building out our “virtual research assistant” roadmap ambition, including leveraging and productionising large language models to help researchers analyse data. You will be working in a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL more »

and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC, etc. Basic development of machine learning models ( PyTorch or TensorFlow ) Working with Large Language Models ( e.g GPT, PaLM, Llama ) Strong background in either Python/Typescript Familiarity with Retrieval Based Augmentation concepts Experience with Vector Databases Experience using … and leveraging search interfaces Experience with modern application architecture methodologies (Service Orientated Architecture, API-Centric Design, Twelve-Factor App, FAIR, etc.). Familiarity with natural language processing or AI technologies ( e.g LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering ) Experience with machine learning, data pipelines and … preferably processing of document s (e.g using Google Cloud Fusion/Azure Data Factory ) Experience in new database technologies such as vector databases advantageous Strong background in either Python/Typescript Experience supporting digital platforms, including Integrations, Release Management, Regression Testing, Integrations, Data Obfuscation, etc. Experience scaling an “API more »

Engineering, Mathematics, or a related discipline Demonstrated success in designing and delivering AI solutions within the insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms more »

libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning lifecycle and collaboration more »

and areas for improvement within the sales function. Collaborate with cross-functional teams to develop and execute an AI strategy that leverages machine learning, natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such more »

libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration more »

across the full extent of the NHSCFA and our wider stakeholders in pursuit of the above. Your primary responsibilities will include developing data pipelines, processing data, and preparing data suitable for analysis. Additionally, you will evaluate, maintain, and manage data pipelines, develop and maintain data models, and support the … tools. Build data pipelines that clean, transform, and present granular and aggregate data from disparate sources. Design, build, test, automate, and maintain architectures and processing workflows. Plan, develop and evaluate methods and processes for gathering, extracting, transforming and cleaning data and information. To undertake development of the data warehouse … working alongside NHSCFA specialists. Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally. Define and document the pre processing steps, data wrangling techniques and feature engineering undertaken on a given dataset. Design and maintain robust processes to ensure NHSCFA and external stakeholder datasets more »

across the full extent of the NHSCFA and our wider stakeholders in pursuit of the above. Your primary responsibilities will include developing data pipelines, processing data, and preparing data suitable for analysis. Additionally, you will evaluate, maintain, and manage data pipelines, develop and maintain data models, and support the … tools. Build data pipelines that clean, transform, and present granular and aggregate data from disparate sources. Design, build, test, automate, and maintain architectures and processing workflows. Plan, develop and evaluate methods and processes for gathering, extracting, transforming and cleaning data and information. To undertake development of the data warehouse … working alongside NHSCFA specialists. Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally. Define and document the pre processing steps, data wrangling techniques and feature engineering undertaken on a given dataset. Design and maintain robust processes to ensure NHSCFA and external stakeholder datasets more »

across the full extent of the NHSCFA and our wider stakeholders in pursuit of the above. Your primary responsibilities will include developing data pipelines, processing data, and preparing data suitable for analysis. Additionally, you will evaluate, maintain, and manage data pipelines, develop and maintain data models, and support the … tools. Build data pipelines that clean, transform, and present granular and aggregate data from disparate sources. Design, build, test, automate, and maintain architectures and processing workflows. Plan, develop and evaluate methods and processes for gathering, extracting, transforming and cleaning data and information. To undertake development of the data warehouse … working alongside NHSCFA specialists. Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally. Define and document the pre processing steps, data wrangling techniques and feature engineering undertaken on a given dataset. Design and maintain robust processes to ensure NHSCFA and external stakeholder datasets more »

CI/CD), Test-Driven Development (TDD), SDLC , etc. Familiarity working within an agile team. Developing machine learning models ( Python or TensorFlow ) Familiarity with natural language processing or AI technologies ( e.g LLMs such as ChatGPT or BARD , Embeddings , Prompt Engineering ) Experience with data pipelines and preferably processing more »

libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration more »