51 to 75 of 1,513 Natural Language Processing Jobs in the UK

systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing and machine learning, this may be the right opportunity for you. Our fast-paced environment requires a high degree of … or related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience … in building machine learning models for business application Experience with natural language processing and/or processing of multi-modal data (e.g. images) Preferred Qualifications Experience using Unix/Linux Experience in professional software development Experience with training and evaluating LLMs Amazon is an equal opportunities More ❯

contributing to shaping and implementing the LLM agentic ecosystem in Bloomberg and scaling generative AI applications to thousands of users Applying traditional machine learning, NLP and GenerativeAI to prototype and productionize client-facing search and streaming applications for discovering the most relevant and timely financial news You'll have the … using LLMs in dealing with data scarcity issues. Demonstrate technical leadership by owning cross-team projects. Stay current with the latest research in IR, NLP, LLMs and incorporate new findings into our models and methodologies. Represent Bloomberg at scientific and industry conference and in open-source communities Publish product and … leading academic venues. You'll need to have: Practical experience with Natural Language Processing or Information Retrieval problems A Ph.D. in NLP ,IR, ML, or a relevant field or an MSc in CS, ML, Math, Statistics, Engineering with prior industry experience. We are happy to consider candidates More ❯

core Risk and Fraud products, including CLEAR , CLEAR Adverse Media , and CLEAR Risk Inform . About the Role: Senior Applied Scientists are experts in NLP and Machine Learning, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage model training and evaluation design, graph … design ML Ops processes related to model monitoring, evaluation, and retraining. Support and coach junior scientist by providing advice, mentoring, and training. Be an NLP expert About You: You're a fit for the role of Senior Applied Scientist if your background includes: PhD in a relevant discipline or Master … s plus a comparable level of experience 5+ years of hands-on experience building NLP/ML/Knowledge Graph/GenAI systems for commercial applications Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks) Experience writing production More ❯

ID: Evi Technologies Limited The Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied … and machine learning - Experience in building machine learning models for business application - Experience in applied research - Experience programming in Java, C++, Python or related language - Strong track record of patents and publications. PREFERRED QUALIFICATIONS - Experience in building speech recognition, machine translation and natural language processing systems More ❯

Evi Technologies Limited The Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and … and machine learning - Experience in building machine learning models for business application - Experience in applied research - Experience programming in Java, C++, Python or related language - Strong track record of patents and publications. PREFERRED QUALIFICATIONS - Experience in building speech recognition, machine translation and natural language processing systems More ❯

ID: Evi Technologies Limited The Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied … and machine learning - Experience in building machine learning models for business application - Experience in applied research - Experience programming in Java, C++, Python or related language - Strong track record of patents and publications. PREFERRED QUALIFICATIONS - Experience in building speech recognition, machine translation and natural language processing systems More ❯

enhance our search and analytics tools. You will collaborate with data scientists, product teams, and stakeholders across different geographies, driving innovation through LLMs (Large Language Models) and advanced AI methodologies. Responsibilities Perform EDA, design, build, and deploy pipelines utilizing LLM models to enhance patent … search and analytics applications. Stay up to date with the latest research and developments in the field of natural language processing (NLP) and machine learning. Work on GenAI techniques like Prompt Engineering , RAG (Retrieval-Augmented Generation) and perform evaluation using frameworks to optimise LLM performance. Develop and … technologies to develop scalable solutions, focusing on large-scale data processing. Qualifications: Demonstrate 3+ years of experience in data science , with a focus on NLP , Generative AI and LLMs . Proficiency in Python and experience working with transformer based LLMs and NLP frameworks (e.g. Hugging Face, Spacy, Pytorch/Tensorflow More ❯

The world can't wait. You Have: 5+ years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and natural language processing 5+ years of experience with programming in an object-oriented programming language, including Java or Python Experience in working … The world can't wait. You Have: 5+ years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and natural language processing 5+ years of experience with programming in an object-oriented programming language, including Java or Python Experience in working More ❯

candidate will: • Be highly numerate and analytical, backed by a mathematics, computer science, stats or physics degree (or equivalent experience) • Have excellent high-level language coding skills in any of e.g. Perl, Python, C/C++, Go, Rust, NodeJS, Java and a language-agnostic attitude • Have experience of … software and related modules • Cloud platforms and concepts (AWS, Google Cloud, Azure) • Setup, testing and administration of CI/CD pipelines • Networking and firewalling • Natural language processing Responsibilities Leading, driving and motivating the development team • Allocating work to individual developers, keeping a focus on business priorities and … candidate will: • Be highly numerate and analytical, backed by a mathematics, computer science, stats or physics degree (or equivalent experience) • Have excellent high-level language coding skills in any of e.g. Perl, Python, C/C++, Go, Rust, NodeJS, Java and a language-agnostic attitude • Have experience of More ❯

DESCRIPTION The Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists … in Java, C++, Python or related language. Strong track record of patents and publications. PREFERRED QUALIFICATIONS Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects). Experience in building LLMs including SFT, LHF. #J-18808-Ljbffr More ❯

plays a crucial role in delivering the generative artificial intelligence (GenAI) solutions for our clients. This position requires a deep understanding of machine learning, natural language processing, and generative models, combined with problem-solving skills and a passion for innovation. Possessing a deep understanding of AWS products … which cover a variety of solutions, technologies, and industries. Key job responsibilities 1. Generative AI Model Development: -Design and develop generative AI models, including language models, image generation models, and multimodal models. -Explore and implement advanced techniques in areas such as transformer architectures, attention mechanisms, and self-supervised learning. … focus on generative AI techniques. - Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks. - Strong background in natural language processing, computer vision, or multimodal learning. - Ability to communicate technical concepts to both technical and non-technical audiences. PREFERRED QUALIFICATIONS - Experience More ❯

learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing … Python code, ensuring that your models are robust, maintainable, and optimised for performance Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful Computer Vision or LLM projects into production Strong understanding of software development fundamentals, in particular deploying … models to production and how to set up pipelines Demonstrate expertise in deep learning for computer vision, natural language processing, reinforcement learning etc Displays in depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation Strong fundamentals in Mathematics, Statistics and Data More ❯

learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing … Python code, ensuring that your models are robust, maintainable, and optimised for performance. Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful Computer Vision or LLM projects into production Strong understanding of software development fundamentals, in particular deploying … models to production and how to set up pipelines. Demonstrate expertise in deep learning for computer vision, natural language processing, reinforcement learning etc. Displays in depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation Strong fundamentals in Mathematics, Statistics and Data More ❯

into the nature and structure of our data and content, both published content and internal data sets, and lead on developing models to improve processing, access, understanding and use of that data. Working closely with the Subject Matter Experts, Product Managers, Software Engineers and Product Designers, you will play … and information. This will require working with structured and unstructured data, a large corpus of scholarly articles, using programmatic techniques such as statistical analysis, natural language processing, information retrieval, and machine learning. You will also work with the rest of the team to turn your insights and … libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as named entity recognition (NER), topic modeling, semantic similarity, and knowledge graph construction. Demonstrated ability to communicate complex technical findings clearly and effectively More ❯

into the nature and structure of our data and content, both published content and internal data sets, and lead on developing models to improve processing, access, understanding and use of that data. Working closely with the Subject Matter Experts, Product Managers, Software Engineers and Product Designers, you will play … and information. This will require working with structured and unstructured data, a large corpus of scholarly articles, using programmatic techniques such as statistical analysis, natural language processing, information retrieval, and machine learning. You will also work with the rest of the team to turn your insights and … libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as named entity recognition (NER), topic modeling, semantic similarity, and knowledge graph construction. Demonstrated ability to communicate complex technical findings clearly and effectively More ❯

and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all components of insurance, for example in … or completed a PhD with two years of suitable industry or research experience in a Data Science role. Strong Python skills with experience in Natural Language Processing and Predictive Modelling, alongside solid SQL capabilities. Experience in creating, deploying, and tuning complex, non-linear predictive models to solve … Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of image processing workflows, deep learning pipelines, and model evaluation. Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such More ❯

take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product’s performance for our customers. Your time will be divided between … opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up … field with 3+ years of industry experience Strong Technical Skills: Python, Production APIs, Infrastructure as Code, AWS or other Cloud provider Deep understanding of Natural Language Processing/Generative AI/Image Recognition Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning More ❯

take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product's performance for our customers. Your time will be divided between … opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up … field with 3+ years of industry experience Strong Technical Skills: Python, Production APIs, Infrastructure as Code, AWS or other Cloud provider Deep understanding of Natural Language Processing/Generative AI/Image Recognition Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning More ❯

management while contributing to a more sustainable future. Key job responsibilities -Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to … ML models BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PREFERRED QUALIFICATIONS - Experience … in building machine learning models for business application - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree - Experience in building More ❯

management while contributing to a more sustainable future. Key job responsibilities Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to … ML models. BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PREFERRED QUALIFICATIONS - Experience … in building machine learning models for business application - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree - Experience in building More ❯

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 … 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 More ❯

tools such as calendars, task managers, and communication apps. Create architectural blueprints for new AI features and services, considering factors such as data flow, processing requirements, and user experience. Collaborate with AI researchers, data scientists, and software engineers to translate cutting-edge AI research into practical, user-friendly applications. … AI/ML systems). Proven track record of designing and implementing large-scale, distributed AI systems. Deep understanding of AI and machine learning (natural language processing, computer vision, predictive modelling). Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML offerings. … Flink). Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience with natural language processing libraries such as NLTK, spaCy, or Hugging Face Transformers. Familiarity with time-series databases and analysis tools. Knowledge of AI More ❯

and analysis for systems and researchers. Proprietary sustainability analysis for asset management, asset owner, Plc or client requests Development of innovative tools building on natural language processing/AI Ensure cohesion across M&G Group sustainability data for Plc and Asset Owner entities Support the wider Stewardship … and quantitative concepts to support investment needs and develop new solutions Deep understanding of quantitative techniques and methods, statistics, and econometrics. Prior experience in natural language processing or other AI methods a plus Proven track record in hands-on development of data analytics tools Assist research teams More ❯

innovate with the Amazon Worldwide Returns & ReCommerce team! Key job responsibilities Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to … We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models. Minimum Qualifications 2+ years of building models for business application experience. PhD, or Master's degree and 4+ years of CS, CE, ML … as MxNet and Tensor Flow. Experience building machine learning models or developing algorithms for business application. Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects). Experience developing and implementing deep learning algorithms, particularly with respect More ❯

x2 Join to apply for the Postdoctoral Fellow (Level A or B) – Defence Trailblazer x2 role at UNSW . Position Details Develop and enhance Natural Language Processing systems to support AI-driven products and services. Work with Large Language Models (LLMs), including fine-tuning and Retrieval … Flexible work arrangements Additional leave during Christmas Career development opportunities Workplace discounts and entitlements On-campus parking Candidate Profile Level A Requirements PhD in natural language processing or a related field. Proven research excellence with high-quality outputs (e.g., ACL, NeurIPS, ICML, ICLR, AAAI). Experience in More ❯