451 to 475 of 1,370 Natural Language Processing Jobs in the UK

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 ❯

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 ❯

Computer Science or equivalent Data Science-related experience. You and your role As a Senior Data Scientist, you will be working on advanced analytics, including machine learning, network analytics, natural language processing, using Python and SQL along with coding best practice to develop extensible and reusable codebases. You'll also be responsible for the capability development of More ❯

Science or equivalent Data Science-related experience. You and your role As a Senior Data Scientist, you will be working on advanced analytics, including machine learning, network analytics, and natural language processing, using Python and SQL along with coding best practices to develop extensible and reusable codebases. You'll also be responsible for the capability development of More ❯

Science to contribute to team or wider organisational priorities. You and your role As a Data Scientist, you will be working on advanced analytics, including machine learning, network analytics, natural language processing, using python and SQL along with coding best practice to develop extensible and re-usable codebases. You'll also be collaborating with the wider Data More ❯

Science to contribute to team or wider organisational priorities. You and your role As a Data Scientist, you will be working on advanced analytics, including machine learning, network analytics, natural language processing, using python and SQL along with coding best practice to develop extensible and re-usable codebases. You'll also be collaborating with the wider Data More ❯

Science to contribute to team or wider organisational priorities. You and your role As a Data Scientist, you will be working on advanced analytics, including machine learning, network analytics, natural language processing, using python and SQL along with coding best practice to develop extensible and re-usable codebases. You'll also be collaborating with the wider Data More ❯

modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute More ❯

Science to contribute to team or wider organisational priorities. You and your role As a Data Scientist, you will be working on advanced analytics, including machine learning, network analytics, natural language processing, using python and SQL along with coding best practice to develop extensible and re-usable codebases. You'll also be collaborating with the wider Data More ❯

a course from a trusted source such as Oracle Corporation or Microsoft would be a bonus. Experience: Experience in applying Artificial Intelligence in practical systems Experience in Machine Learning, NLP, Deep Learning, Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy – at least three or more) Experience in Data mining, Data warehousing, ETL Experience in … Ltd. Is an equal opportunities employer. Job Type: Full-time Salary: £23,000.00-£30,000.00 per year Benefits: Company pension Sick pay Schedule: 8 hour shift Monday to Friday Language: English (preferred) Work Location: In person #J-18808-Ljbffr More ❯

skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer More ❯

Climate Policy Radar’s platform, 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 our search engine into a More ❯

high-calibre Quant team within a discreet fund based in the UAE, operating at the intersection of Quantitative Research and Artificial Intelligence. This role focuses on leveraging data and language models to support research, development, and implementation of systematic investment strategies. The successful candidate will have strong technical skills, a solid understanding of financial markets, and a passion for … and maintain automated data pipelines for ingestion, tagging, cleansing, and integration of financial text and structured data. Oversee and improve quality control processes for financial content generated by large language models (LLMs), ensuring coherence, accuracy, and logical consistency. Collaborate with quant researchers and engineers to enhance model performance, accuracy, and reliability. Conduct analysis to uncover patterns, trends, and applications … modeling. Ability to design and maintain scalable data pipelines. Excellent problem-solving skills and clear communication of complex ideas. Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, or NLP methodologies. Curiosity and motivation to explore new data science and AI technologies. Understanding of macroeconomics, financial markets, and investment principles. #J-18808-Ljbffr More ❯

global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks. Responsibilities: Contributing by processing … analyzing, and synthesizing information applied to a live client problem at scale. Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role requires skills in both prototyping and developing individual solutions but also implementation and integration in a production environment. Desired Skills: A university degree in Mathematics … Computer Science, Engineering, Physics or similar. 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real More ❯

re looking for candidates with strong experience in Computational Linguistics to help build and refine intelligent language technologies, combining linguistic expertise with technical skills to drive innovation in NLP and AI applications. Our client uses behavioural biometric interactions and advanced AI to create unique digital user identities, enabling seamless, intelligent security systems that adapt in real time. With ambitious More ❯

re looking for candidates with strong experience in Computational Linguistics to help build and refine intelligent language technologies, combining linguistic expertise with technical skills to drive innovation in NLP and AI applications. Our client uses behavioural biometric interactions and advanced AI to create unique digital user identities, enabling seamless, intelligent security systems that adapt in real time. With ambitious More ❯

build the most advanced language model in the industry and revolutionize company interactions with AI. We are looking for a creative problem solver with a deep understanding of NLP and ML technologies to help us develop powerful AI applications. As an AI engineer at Writer, you will play a key role in developing and deploying cutting-edge generative AI More ❯

re looking for candidates with strong experience in Computational Linguistics to help build and refine intelligent language technologies, combining linguistic expertise with technical skills to drive innovation in NLP and AI applications. Our client uses behavioural biometric interactions and advanced AI to create unique digital user identities, enabling seamless, intelligent security systems that adapt in real time. With ambitious More ❯

AI models to uncover operational risk insights, including anomaly detection, pattern recognition, and risk hotspot identification Apply advanced statistical and analytical techniques to structured and unstructured data sources Develop NLP and computer vision models to extract value from text-heavy or image-based risk data (e.g., incident reports, audit findings, vendor assessments) Translate model outputs into actionable insights for Operational … experience in utilising SOTA (state of the art) LLMs elegantly within solutions, as well as deploying best practice development approaches e.g., Evals for AI systems Skilled in managing and processing data from multiple sources, ensuring accurate and efficient data flow, and applying data analytics techniques Capable of understanding and translating complex business requirements into practical solutions, focusing on value More ❯

data structures, algorithms, data modelling and software architecture Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc), state-of-the-art research area (e.g. NLP, Transfer Learning etc) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc) Understanding … of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing, probability distributions, sampling techniques, and stochastic processes Be Customer Focused - constantly improving our customers' experience I listen to my customers I use available data to help make decisions Be Human - acting with humanity and More ❯

of tomorrow. Job Description As a Senior Machine Learning Engineer specialising in Large Language Models (LLMs), you will play a critical role in harnessing the power of advanced NLP technologies to drive innovation and efficiency across our enterprise. As part of Checkout.com’s AI centre of excellence, you will lead LLM-based solutions' design, development, and deployment, collaborating with More ❯

in either a professional data science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of … statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯

of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker containers. Understanding of NLP, LLMs, and prompt engineering techniques. Proficient in version control, CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. Familiarity with MLOps tools … e.g., MLflow, Kubeflow, SageMaker). Understanding of regulatory or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent thinker with a structured approach to work. Passionate about learning, growth, and continuous improvement. Organised and self-motivated, with excellent time management. Comfortable taking initiative and ownership of technical decisions. A More ❯

an organisation that encourages continuous personal development, and are keen to talk with good candidates Desirable but not essential Demonstrable interest in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing.Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.) Familiarity with Python for AI/ML More ❯

to join their team. What will the role be doing? Design and prototype innovative AI and data science solutions using digital consumer data Develop models and tools using Python, NLP, and machine learning frameworks Explore and integrate state-of-the-art AI from providers like OpenAI, Google, Microsoft, and AWS Conduct research on emerging AI/NLP trends and share … s degree or higher in Computer Science, Maths, Statistics, Engineering or similar 3+ years’ experience with Python, including strong code design Proven experience building, optimising and evaluating AI/NLP models Ability to translate business challenges into technical requirements Experience working with SQL and data warehousing tools What’s in it for me? Salary of £45,000 - £65,000 dependent More ❯