551 to 575 of 1,213 Natural Language Processing Jobs in the UK

Role: Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition to the world of financial predication through the prism of machine learning. The More ❯

Direct message the job poster from Cornucopia IT Resourcing Data Scientist – AI & NLP Innovation London (Hybrid) Our client is a dynamic investment firm using AI to reshape financial insight Are you a data scientist passionate about applying NLP, LLMs, and generative AI to real-world problems? Join a forward-thinking investment management firm based in London’s West End that … working on high-impact projects in a collaborative, inclusive, and mission-driven environment. Why Join? Be part of a newly established, fast-growing AI team Work on cutting-edge NLP and generative AI tools (e.g., RAG, open-source LLMs) Help automate and modernise business processes across a respected financial organisation Flexible, inclusive culture with purpose-driven values around environmental and … social responsibility What You'll Do: Build and deploy AI applications that improve efficiency and deliver business value Apply NLP, LLMs, and automation to unlock insights from complex, unstructured data Work across departments to identify and deliver impactful AI use cases Evaluate emerging models and AI tools for real-world adoption Collaborate closely with the Head of Data Science to 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 ❯

Suggested Experience: Minimum of 2 years of experience working with the Microsoft Power Platform, including Power Automate, Power Apps, Power BI, Power Virtual Agents, and Dataverse. Exposure to AI, NLP (Natural Language Processing), and LLM technologies. Proven experience working collaboratively with cross-functional teams to design and deploy solutions in live environments. Solid understanding of software development … to detail. Minimum of 2 years of experience working with the Microsoft Power Platform, including Power Automate, Power Apps, Power BI, Power Virtual Agents, and Dataverse. Exposure to AI, NLP (Natural Language Processing), and LLM technologies. Proven experience working collaboratively with cross-functional teams to design and deploy solutions in live environments. Solid understanding of software development More ❯

and differences. • Perform linguistic analyses for Responsible AI (toxic language, hate speech, gender bias and other cultural biases) in massively multilingual settings. • Conduct linguistic literature reviews on various NLP-adjacent topics, and summarize findings. • Analyse the quality of vendor deliveries, identify error patterns, and provide actionable feedback. • Provide information or guidance relative to any aspect of linguistic knowledge (typology … Must have strong written and spoken English communication skills, especially business and research communication. • Must be at a level of native or near-native proficiency (CEFRL C2) in a language other than English. • Working knowledge in additional languages is a plus. Proficiency in a low-resource or under-represented language is valued. • Must be able to code in … Must have some experience with applying basic Natural Language Processing techniques. Experience: • Years of experience: 0-3 • Experience working cross-functionally • Experience collaborating with machine learning, NLP, or software engineers, or data scientists • Experience contributing to research papers #J-18808-Ljbffr More ❯

seeking talented graduates to join our AI and design teams. We’re exploring innovations in generative AI , AI-based decision-making tools , and natural language processing (NLP) , ensuring our teams are always at the cutting edge of technological progress. By joining our AI Team , you’ll play a crucial role in shaping these groundbreaking initiatives and pushing … cross-functional teams. Eagerness to stay updated with the latest advancements in AI and machine learning. Familiarity with topics such as neural networks, natural language processing (NLP), and generative AI. ABOUT US OUR MISSION AND VISION At Rapid X, we pride ourselves on being a forward-thinking organisation committed to providing innovative services and solutions that help More ❯

Senior AI Engineer - Generative AI and Search - Artificial Intelligence Bloomberg's Engineering AI department has 350+ AI practitioners building innovative products that leverage technologies such as transformers, large language models, and dense vector databases. We are expanding our team and seeking highly skilled individuals to contribute to AI-driven customer-facing products. At Bloomberg, we aim to foster a … solutions that process vast amounts of structured and unstructured information to produce analytics and insights. We are looking for Senior AI Engineers with expertise in Information Retrieval, Search technologies, Natural Language Processing, and Generative AI to join our AI Experiences team. Key initiatives include: Developing Retrieval-Augmented Generation (RAG) systems, curating data, and building evaluation frameworks for … systems powered by LLMs. Identifying and implementing improvements in our search systems through experimentation. Managing the entire model lifecycle from conception to deployment. Staying updated with research in IR, NLP, and Generative AI and applying innovations practically. Representing Bloomberg at industry events and open-source communities. Requirements: Experience with NLP, Search technologies, and Generative AI; familiarity with platforms like Elasticsearch More ❯

related technical field. Experience with modern ML frameworks (e.g., JAX, Pytorch or TensorFlow). Experience with launching applied Machine Learning/Natural Language Processing (ML/NLP) projects. About the Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products … search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a Software Engineer, you will shape the future of applied Machine More ❯

leading investment management firm and research-driven team as a Senior Data Scientist. Work at the frontier of data-led investment strategies, using the latest techniques in machine learning, natural language processing, and quantitative modelling. This position blends academic insight with practical application in a collaborative and intellectually stimulating environment. You'll have the opportunity to shape … discipline (e.g. mathematics, statistics, computer science, engineering, or physics), completed within the last two years Strong programming skills in Python or a similar language Experience with machine learning, NLP, or statistical modelling A genuine interest in applying academic research to real-world problems Experience peer reviewing papers, journals etc. Excellent communication and collaboration skills Exposure to financial data or More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … and machine learning tools and techniques. What We’re Looking For: Demonstrable experience in AI Automation/Integration role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … and machine learning tools and techniques. What We re Looking For: Demonstrable experience in AI Automation/Integration role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

cost. The AI Software Engineer will develop proof of concepts (POCs), secure business approval, and implement AI solutions at scale globally. Key skills include proficiency in neural networks, programming, NLP, prompt engineering, and hands-on experience with AI tools and frameworks. Collaboration with cross-functional teams and a strong understanding of data ethics and AI bias are also essential. Working … activation functions and backpropagation techniques. Model Training and Fine-tuning: Experience in training and fine-tuning AI models to optimize performance and accuracy. Natural Language Processing (NLP): A solid understanding of NLP to handle tasks involving human language interaction. Data Ethics and AI Bias: Awareness of ethical considerations and bias in AI, ensuring responsible and fair More ❯

cost. The AI Software Engineer will develop proof of concepts (POCs), secure business approval, and implement AI solutions at scale globally. Key skills include proficiency in neural networks, programming, NLP, prompt engineering, and hands-on experience with AI tools and frameworks. Collaboration with cross-functional teams and a strong understanding of data ethics and AI bias are also essential. Working … activation functions and backpropagation techniques. Model Training and Fine-tuning: Experience in training and fine-tuning AI models to optimize performance and accuracy. Natural Language Processing (NLP): A solid understanding of NLP to handle tasks involving human language interaction. Data Ethics and AI Bias: Awareness of ethical considerations and bias in AI, ensuring responsible and fair More ❯

data they need to conduct high quality research. Build models to turn raw clinical data into high quality research variables, drawing on your knowledge of LLMs, traditional ML, and NLP techniques to determine the right methods to use for a given problem. Work with quantitative scientists and oncologists to validate that your models can be used to generate sound scientific … Work cross-functionally with software engineers to productionize, scale, and monitor your models. Who You Are You're a product-focused data scientist, with experience in leveraging ML and NLP to solve real-world problems. You're excited by the prospect of rolling up your sleeves to tackle meaningful problems each and every day. You’re a kind, passionate and … and values the chance to make an important impact. You have 3+ years of relevant working experience in a technical capacity, with a focus on ML. Prior experience with NLP and LLMs is strongly preferred. You have a strong background in applying ML to solve real-world problems and a solid grasp of the underlying statistical fundamentals of ML. You More ❯

their products on Amazon through native product advertising. The SP Supply team focuses on delivering relevant product ads on Amazon search pages world-wide through ad experiences powered by NLP, computer vision, generative AI and shopper understanding models. The team is working on multiple 'industry first' projects which are ambiguous and challenging, but they offer the opportunity to have a … shoppers and business. As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, build ML infrastructure and data processing pipelines. You will partner with our science team to implement LLM models in production, and also contribute to LLMOps. You will be responsible for designing, building, and operating key … development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer More ❯

will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will … scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are … looking for candidate with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. This Senior Applied Scientist should have good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise, a sound More ❯

Develop system integrations using Power Automate, APIs, and other integration tools Address data quality issues through analysis, cleansing, and standardisation Build automated data quality monitoring tools and processes Develop natural language processing solutions for document analysis and data extraction Collaborate with teams across the business to identify automation opportunities Document data flows, structures, and processes to support … Analytics Strong experience with Microsoft Power Platform (PowerBI (Strong DAX Skills) - Power Automate) Knowledge of accounting or financial services data structures Experience with API development and integration Familiarity with natural language processing techniques Understanding of data governance principles Experience in accounting or financial services data preferred (But not crucial) Experience with Agile project methodologies Excellent communication skills More ❯

Develop system integrations using Power Automate, APIs, and other integration tools Address data quality issues through analysis, cleansing, and standardisation Build automated data quality monitoring tools and processes Develop natural language processing solutions for document analysis and data extraction Collaborate with teams across the business to identify automation opportunities Document data flows, structures, and processes to support … Analytics Strong experience with Microsoft Power Platform (PowerBI (Strong DAX Skills) - Power Automate) Knowledge of accounting or financial services data structures Experience with API development and integration Familiarity with natural language processing techniques Understanding of data governance principles Experience in accounting or financial services data preferred (But not crucial) Experience with Agile project methodologies Excellent communication skills More ❯

world-class data-led organisation that is continuously advancing with the latest AI trends? This company is an innovator in building data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. The role involves being a senior engineer who will help define and build the company's AI … and organization. Requirements include: Experience in AI engineering, data science, or related fields with a focus on production deployment. Strong Python, SQL, and programming skills. Hands-on experience with NLP, LLMs, recommendation systems, information retrieval, GenAI (especially RAG systems). Familiarity with ML frameworks like PyTorch, scikit-learn. Experience across the full model lifecycle: experimentation, training, testing, monitoring, deployment. Good More ❯

Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We More ❯

development practices, you will be involved in the entire software development lifecycle, building, testing, and delivering high-quality solutions. Build Scalable ML Solutions: You will create large-scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high-performing, scalable systems in the context of large online delivery environments. Be a Team … development. Preferred skills & experience: Experience integrating Machine Learning solutions into production-grade software and understanding of ModelOps and MLOps principles. Previous exposure to Natural Language Processing (NLP) problems and familiarity with tasks like Named Entity Recognition (NER), Information Extraction, and Information Retrieval. Ability to understand and translate between research and engineering methodologies. Hands-on experience with other More ❯

data lead organisation who are continuously moving forward with the latest AI trends? This company is a true innovator in building data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. This person will be a senior engineer who will help both define and build the companies AI … although what is key is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model More ❯

experience in data science in a commercial environment. Good programming skills in Python. Experience in building and evaluating machine learning models. Experience with Natural Language Processing (NLP) techniques. Experience working with real-world datasets. Solid understanding of fundamental concepts of data science. Experience working with Numpy and PyTorch. Experience working with cloud environments is not essential, but More ❯

class data-led organisation that is continuously advancing with the latest AI trends? This company is a true innovator in building data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. The role involves being a senior engineer who will help define and build the company's AI … experience in data science, engineering, or machine learning with a focus on productionising and deploying AI models is key. Strong Python, SQL, and programming skills. Hands-on experience with NLP, LLMs, recommendation systems, Information Retrieval stacks, or GenAI (especially RAG systems). Familiarity with ML frameworks like PyTorch and scikit-learn. Experience across the full model lifecycle: experimentation, training, testing More ❯

value individuals who are self-motivated and take pride in delivering exceptional work within a fast-paced and dynamic environment. Responsibilities: Transform ground breaking research into practical and efficient processing solutions for optimized performance Conduct codebase review, identifying areas for improvement and performing code refactoring to enhance cleanliness and maintainability. Evaluate data storage and management practices, identifying inefficiencies or … Proficient in Python, C++ Experience with distributed systems and parallel computing Familiarity with embedded systems development Experience with workload orchestration tools (Databricks, Kubeflow, Airflow, etc.) Familiarity with unstructured data processing (video, audio, ffmpeg) Experience working with model registries and model version control Strong understanding of REST API design patterns Proficiency in working with data manipulation libraries (e.g., Pandas, NumPy … to work effectively in a team environment Strong problem-solving and debugging skills Understanding of software security principles and standard processes Experience with natural language processing (NLP) techniques Familiarity with video processing, Experience with NVIDIA CUDA, waveglow, ROCm Experience with Github/Gitlab, CDK, HelmCharts, ArgoCD Experience with Docker Knowledge of Linux Nice to have: Experience More ❯