26 to 50 of 88 Natural Language Processing Jobs in the East of England

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 ❯

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 ❯

in a relevant field (such as mathematics, computer science, data science, etc). 5+ years of proven experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI Proven track record of developing creative and novel AI solutions that have driven significant business impact. Extensive prior experience exploring and testing large language model behaviour … prompting and building products with language models. Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex, etc). Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare. Previous experience of training (fine turn) large language models, hands on experience More ❯

Director, Principal AI/NLP Engineer Introduction to Role: Are you ready to apply your AI/NLP engineering skills in a place where curiosity thrives and groundbreaking work is done? Join our AI Engineering team at AstraZeneca in Cambridge (UK) and be part of a company that follows the science unlike anywhere else! At AstraZeneca, we connect across the … work in harmony with leading experts in our specialist communities, using pioneering techniques and expanding our knowledge to identify the next opportunity. Accountabilities: As a Director, Principal AI/NLP Engineer ,you will develop and deploy NLP models and algorithms to extract insights from unstructured text data. You will design and implement end-to-end NLP pipelines, including data preprocessing … feature engineering, model training, and evaluation. Collaborating with multi-functional teams, you will understand client requirements and develop customized NLP solutions to address their specific needs. By staying up-to-date with the latest advancements in NLP and machine learning research, you will proactively integrate new techniques into existing workflows. Additional responsibilities include mentorship and leadership, successful deliverables, and project More ❯

is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and … areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You … Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. More ❯

is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and … areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You … with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose More ❯

train, validate, and deploy ML solutions on secure, often resource-constrained platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting … from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage If … train, validate, and deploy ML solutions on secure, often resource-constrained platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting More ❯

is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and … areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You … Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. More ❯

is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and … academic partners and SME partners as well as to grow technical research areas of interest to you. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You … with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose More ❯

the highest international levels of excellence. This close affiliation with the University provides Cambridge University Press & Assessment with unparalleled expertise across academic publishing, educational systems, international qualifications, and English language learning. The organisation is committed to exploration, collaboration, and innovation, continually seeking impactful ways to advance knowledge, stimulate curiosity, and foster deeper understanding. Through its work, Cambridge University Press … the educational assessment field. The role will entail, for example, developing malpractice detection methods, or to provide insights on test content. By leveraging extensive data manipulation, the use of Natural Language Processing, and the application of statistical and psychometric methodologies this role provides the opportunity to significantly contribute to cutting-edge quantitative research and development in the … area of language testing. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. Responsibilities As our next Senior Data Scientist, you will help us leverage innovation and the latest technological advancement to develop our systems and processes. As part of this role, you will significantly More ❯

a senior researcher to join our expanding Data and Decision Support Capability. The ideal candidate will have a strong background in Machine Learning (ML) and/or statistical signal processing, with excellent Python programming skills and experience with relevant libraries and toolboxes. This role is within our Advanced Information Processing (AIP) group, focusing on developing inference algorithms and … Support Capability encompasses teams working on AI/ML applications such as RF, EW, radar, sonar, data fusion, reinforcement learning, agent-based ML, autonomy, image analysis, generative AI, LLMs, NLP, and graph ML. You will collaborate with multidisciplinary teams and engage in both technical challenges and customer-facing tasks. Candidates should have a PhD or equivalent industry experience in a … relevant discipline, with several years of applying AI/ML or statistical signal processing to sensor time-series data and decision-making. Experience in domains like RF communications, electromagnetic warfare, radar, acoustic processing, sensor fusion, autonomy, human-machine teaming, or space-domain awareness is highly desirable. Leadership experience in research project delivery is a plus. Typical Responsibilities: Lead More ❯

industry-leading, machine-learning software in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to Machine Learning who have a keen interest in Natural Language Processing and Computer Vision and its application to an ever-advancing technical landscape. Location: Cambridge - 3 days in office, 2 days remote Salary: Up to … working with large data sets (desirable) Responsibilities for Machine Learning Research Engineer Join a small team responsible for investigating the latest research in machine learning algorithms – largely within the NLP and Computer Vision fields Make suggestions based on the feasibility of research to help shape future projects and products Prototyping research concepts Determining output quality, efficiency, and feasibility compared with … this email address has been removed by the job-board, full details for contact are available on our website). Keywords: Python/Deep Learning/Machine Learning/NLP/Natural Language Processing/Computer Vision/Research/Post-Doc/Ph.D./DPhil/Computer Science/Mathematics/Physics/Engineering/Text More ❯

fastest-moving fields of LLMs, particularly in how to build LLMs including all phases (CPT, SFT, LHF) that work at Alexa scale. If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience managing high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a … have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a product used every day by people you know. BASIC QUALIFICATIONS - PhD - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience directly managing scientists or machine learning engineers - Experience programming in Java, C++, Python or related language - Experience in building machine learning models for business More ❯

the educational assessment field. The role will entail, for example, developing malpractice detection methods, or to provide insights on test content. By leveraging extensive data manipulation, the use of Natural Language Processing, and the application of statistical and psychometric methodologies this role provides the opportunity to significantly contribute to cutting-edge quantitative research and development in the … area of language testing. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. About the role As our next Senior Data Scientist, you will help us leverage innovation and the latest technological advancement to develop our systems and processes. As part of this role, you … the design and delivery of projects aimed at the continuous transformation of our business, as well as provide data science solutions and psychometric support for a variety of English language tests. The key responsibilities will include: Design and implement end-to-end data science projects involving extensive data manipulation and machine learning aimed at informing the development of core More ❯

About our Team: SciBite is developing cutting-edge AI and NLP technologies for solving key challenges for our life science customers. We use the latest large language models combined with our award-winning semantic technology to enable discovery within large volumes of unstructured data. About the Role: We are looking for an ML Engineer to develop our AI/… the latest AI models a reality for our colleagues and customers. The main duties of this role include: Developing infrastructure to support the use of AI models for the processing of large volumes of text-based data Developing/supporting interfaces for interaction with the models Testing and documentation Requirements: Experienced Python developer Experience utilising machine learning libraries such … Understanding and experience of deploying code in containers, eg docker Experience in the life sciences or pharmaceutical domains Experience with CI/CD Confidence in Linux based environments Text Processing and Big Data Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are More ❯

need for success To be successful in this role, you will be able to demonstrate: Practical and theoretical expertise in one or more AI/ML areas such as Natural Language Processing, Computer Vision, Reinforcement Learning, Agentic AI, Multimodal Models, Generative AI, Responsible AI, and Algorithmic Auditing. Knowledge of assessment techniques to evaluate AI systems for effectiveness More ❯

the Cambridge-based ML Content, Algorithms and Tools team! This Machine Learning Engineer role focuses on advancing the field of AI by optimizing and deploying pioneering models, particularly Large Language Models (LLMs) and Generative AI algorithms. This involves deep analysis of neural networks, optimizing software and hardware, developing innovative solutions, and collaborating with teams to build high-performance AI … Experience : • A background in computer science, software engineering or other comparable skills • Experience training and debugging neural networks with TensorFlow and PyTorch using Python • Understanding, deploying, and optimizing Large Language Models (LLMs) and Generative AI algorithms. • Experience using software development platforms and continuous integration systems • Familiarity with Linux and cloud services • Have a strong attention to detail to ensure … Company: ARM Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom More ❯

We are seeking a highly motivated and experienced senior Java developer who wants to make a difference to the health of the world. Our Engineering team here at IQVIA NLP are continuing to develop I2E, our world-class NLP platform. This platform brings the power of text mining to the Life Sciences and Healthcare sectors, helping doctors, nurses, and researchers … to understand the underlying meaning within the vast quantities of text that they have at their disposal. IQVIA NLP look for the very best people and then give them meaningful work to do. We don’t simply think about jobs and tasks – we think about career growth and contributions. By joining us you will become part of a fast-paced … members should keep hours that maximize the overlap with the UK head office. Responsibilities Responsibilities will include: Design and development of server-side technologies to scale and deploy IQVIA NLP’s core NLP algorithms using Java, Python, and other tools. Working across multiple teams to create new internal or customer-facing solutions supporting the life science and healthcare sectors. Occasional More ❯

development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc. More ❯

DESCRIPTION You will be responsible for defining key research directions focusing on LLMs, adopting or inventing new NLP techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and … technical issues. Experience developing software in traditional programming languages (Python, Java, etc..). Excellent written and spoken communication skills. PREFERRED QUALIFICATIONS 10+ years of experience building and deploying innovative NLP solutions at scale. Expert level skills focusing on Large-language-Models. Demonstrated Experience in training LLMs through PT, SFT, and LHF backed by top-tier publications. Published research work … in academic conferences or industry circles in NLP top tier conferences. Experience delivering complex end-to-end global NLP solutions that run at very large scale. Experience working with real-world data sets and building scalable models from big data. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. 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 to enhance existing features and explore new possibilities with LLM … 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 (e.g., commercial speech products or government speech projects). Experience in building LLMs including SFT, LHF. #J-18808-Ljbffr More ❯

About Our Team SciBite is developing cutting-edge AI and NLP technologies to solve key challenges for our life science customers. We leverage the latest large language models combined with award-winning semantic technology to enable discovery within large volumes of unstructured data. About The Role We are seeking an ML Engineer to develop our AI/ML infrastructure. … access to extensive data through our parent company, Elsevier, enabling the development of advanced models not possible with public data alone. Responsibilities Develop infrastructure to support AI models for processing large volumes of text-based data. Create and support interfaces for model interaction. Conduct testing and documentation. Requirements Experienced Python developer. Proficiency with machine learning libraries such as TensorFlow … services. Experience deploying code in containers (e.g., Docker). Background in life sciences or pharmaceuticals. Experience with CI/CD pipelines. Comfortable working in Linux environments. Knowledge of text processing and Big Data. Working For You We value your wellbeing and happiness, offering benefits such as: Generous holiday allowance with options to buy extra days. Health screening, eye care More ❯

come join us and make history. We are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning to help build industry-leading Speech, Language, Audio and Video technology. As an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms and generative AI models to drive the state of … BASIC QUALIFICATIONS - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience with programming languages such as Python, Java, C++ PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer More ❯