1 to 25 of 359 Natural Language Processing Jobs in the UK excluding London

Senior Data Scientist (Natural Language Processing) Total Remuneration: £57,879 to £68,146 Pay Supplement: The base salary for this role is £46,677 - £54,957 This job qualifies for Digital, Data and Technology Annual Pay supplement of 24% which is included in the total remuneration above. Pension: 28.97% of base salary (RoS contribution) Annual Leave … Digital Humanities (e.g. Computational Linguistics, Data Science, Computer Science or a related field), or equivalent experience. Broad knowledge of data science tools and approaches, with in-depth knowledge of language processing techniques. Strong analytical skills and experience with ability to critically select, combine and apply a range of scientific methods. Expert understanding and application of Natural Language Processing techniques. Experience of text mining, data annotation and model development. Awareness of Data and AI Governance considerations - ethics, transparency and explainability, licensing and regulation. Commercial awareness and awareness of product delivery life cycle (within an Agile delivery context). Competencies At application stage, you will be scored against the bolded Competencies and against the remaining all Competencies More ❯

product strategy. In this role, you will: • Lead AI strategy and execution in a high-ambiguity environment. • Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). • Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. • Collaborate closely with product, design, and DevOps to integrate … stealth-mode or early-stage startup, ideally taking an AI product from 0 → 1 • Background in a relevant domain (e.g., healthcare AI, autonomous systems, finance, robotics, computer vision, or NLP). • Hands-on experience with large-scale language models (LLMs) and prompt engineering (e.g., GPT, BERT, T5 family). • Familiarity with on-device or edge-AI deployments (e.g., TensorFlow More ❯

matter expert on a wide range of ML techniques and optimizations. Provide in-depth knowledge of ML algorithms, frameworks, and techniques. Enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques. Conduct experiments using the latest ML technologies, analyze results, and tune models. Collaborate with engineering teams to bring experimental results into production solutions, owning … Python, Java, C/C++, with intermediate Python proficiency. Experience applying data science and ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs). Hands-on experience with machine learning and deep learning methods. Deep understanding of deep learning frameworks such as PyTorch or TensorFlow. Experience in More ❯

matter expert on a wide range of ML techniques and optimizations. Provides in-depth knowledge of ML algorithms, frameworks, and techniques. Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques. Conducts experiments using latest ML technologies, analyzing results, tuning models Provides has Hands on coding to bring the experimental results into production solutions by … C/C++, etc. Intermediate Python is a must. Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience with machine learning and deep learning methods. Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow. Experience … with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker More ❯

matter expert on a wide range of ML techniques and optimizations. Provides in-depth knowledge of ML algorithms, frameworks, and techniques. Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques. Conducts experiments using latest ML technologies, analyzing results, tuning models Provides has Hands on coding to bring the experimental results into production solutions by … C/C++, etc. Intermediate Python is a must. Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience with machine learning and deep learning methods. Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow. Experience … with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker More ❯

platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP More ❯

team has grown to 75+ data scientists and engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, optimization, statistical modeling, signal detection, natural language processing, data visualization, generative AI, network/graph modeling, ETL, data pipelines, data architecture, ML engineering, communication, product management and strategy. We work with data from … deliverables Participate in team agile processes, and proactively contribute to team culture The minimum requirements for this position are: 4+ year experience shipping code to production environments Strong programming language skills in Python and SQL Experience building cloud native applications Great problem-solving and communication skills Knowledge and experience we are looking for includes: DevOps automation, idempotent deployment testing More ❯

team has grown to 30+ data scientists and data engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, statistical modeling, signal detection, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, product management and strategy. We work with data from a wide variety of More ❯

in applying data science to one or more of the following: cyber defence, ISR (Intelligence, Surveillance & Reconnaissance), geospatial intelligence (GEOINT), threat modelling, logistics optimisation, or predictive maintenance. Knowledge of NLP, computer vision, or reinforcement learning in defence applications. Experience with edge analytics, secure computing environments, or Federated Learning. Relevant certifications (e.g., Microsoft Certified: Azure Data Scientist, AWS Certified Machine Learning More ❯

our cybersecurity capabilities. Key Responsibilities: · Design, develop, and deploy full-stack AI solutions with a focus on cybersecurity threat detection and response. · Apply AI/ML techniques such as NLP, supervised/unsupervised learning, and generative AI to real-world security data. · Integrate AI models into scalable applications using modern full-stack development tools and frameworks. · Collaborate with cybersecurity teams … experience in a cybersecurity operations or similar function. · Strong knowledge of cybersecurity principles, frameworks, and threat intelligence (e.g., MITRE ATT&CK). · Proficient in AI/ML technologies, including Natural Language Processing, Generative AI, and Machine Learning algorithms. · Experienced in full-stack development with proficiency in Python, C C#, or R. · Familiarity with AI libraries and tools More ❯

Decision Support Capability. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The right candidate will join our Advanced Information … Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making. The candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into our internal BAE Systems … processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams. Candidates will also have the opportunity to mix technical challenges with customer More ❯

/ML frameworks. Strong understanding of MLops principles and practices. Ability to design and implement complex ML systems. Strong understanding of neural networks, natural language processing (NLP), computer vision, and other AI domains. Experience with cloud platforms and AI tools (e.g., Google Cloud, Azure). 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 of documents (e.g., using Google Cloud Fusion/Azure Data Factory). Demonstrated success in deploying AI solutions in real-world applications. Work closely with product managers, data scientists, software engineers, and other stakeholders to integrate AI solutions into existing and new More ❯

to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across … and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI … LinkedIn, just search for Henry 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 ❯

gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems … Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment … in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical AI practices Familiarity with computer vision and NLP techniques for OSINT Understanding of adversarial AI and security implications Proven track record of leading complex technical projects Ability to make architectural decisions that scale to billions of data points More ❯

gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems … Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment … in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical AI practices Familiarity with computer vision and NLP techniques for OSINT Understanding of adversarial AI and security implications Proven track record of leading complex technical projects Ability to make architectural decisions that scale to billions of data points More ❯

as entity resolution at scale 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 managing risk, and build solutions … experience in a commercial environment 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 business problems using Python and … d love: Computer Vision Expertise: 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 as S3, EC2, SageMaker, Lambda More ❯

the development of intelligent, data-driven solutions across our core products and operations. You'll be at the forefront of our AI strategy, leading initiatives to optimize underwriting, claims processing, risk assessment, and customer personalization using machine learning and advanced analytics. KeyResponsibilities: Lead the end-to-end development and deployment of AI/ML models to support underwriting, fraud … scale a high-performing data science team; provide technical mentorship and guidance. Collaborate with engineering to ensure smooth integration of AI models into production systems. Drive the use of NLP, predictive modeling, and generative AI where applicable to improve operational efficiency and innovation. KeyRequirements: 6+ years of experience in data science, with at least 2 years in a lead or More ❯

/Waterfall understanding. Cloud, ideally Azure and its core AI products (Azure ML, Azure OpenAI, AI Foundry). Modelling: Expertise in at least 2 areas of AI, e.g. forecasting, NLP/NLM, vision. Experience with GenAI, particularly Language Models. Coding: Python for data science (DS). Low/no code approach to DS/AI IDEs & notebooks. Git & GitHub More ❯

data protection and GDPR Understanding of Cybersecurity and common issues Extensive knowledge of using data science and AI techniques such as ML, simulation modelling, causal impact analysis, network analysis, NLP Desirable Knowledge of health technology Knowledge of NHS operations, policies, governance and organisational structures Skills Essential Confidence and skilled in adapting to new software and programming language Skilled in More ❯

techniques: Proficiency in supervised/unsupervised/semi-supervised learning, neural networks, SVM, tree-based methods, and NLP. Expertise in generative AI tools: Experience with prompt-engineering, fine-tuning language models, and selecting the right models for various tasks. Proficiency in MLOps: Knowledge of building production applications in cloud architecture (Azure, AWS, or similar), and understanding of best practices More ❯

of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details We are looking for skilled and innovative individuals to join our dynamic team. This role is ideal for those who … drive to tackle complex challenges. Reporting to the Head of AI Lab, you will be primarily responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You'll collaborate closely with experienced engineers and data scientists to address complex challenges, deliver impactful solutions, and adapt … Science, or related field Key Skills And Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or natural language processing (NLP); understanding of large language models (LLM) is a plus Skilled in object-oriented programming using Python. Familiar with PyTorch or other machine learning frameworks Excellent problem-solving skills Strong More ❯

database design. Artificial Intelligence and Machine Learning Understanding of machine learning algorithms (classification, regression, clustering) and their practical applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit … using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/CD workflows. Strong understanding of More ❯

Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art AI capabilities. We're big on flexibility. Our More ❯

Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art AI capabilities. We're big on flexibility. Our More ❯

services environment, with demonstrable delivery of measurable business outcomes Strong technical expertisein Artificial Intelligence and Machine Learning, including: Supervised/unsupervised learning, deep learning, andnatural language processing (NLP) Model development using frameworks such asTensorFlow,PyTorch, orscikit-learn Experience deploying AI models in production environments usingMLOpsprinciples (e.g., MLflow, Azure ML, SageMaker). Hands-on experience with automation and orchestration More ❯