76 to 100 of 116 Natural Language Processing Jobs in the UK excluding London

based version control Experience develop ing predictive models and quantitative analyses that support intelligence assessments and operational decision-making Experience applying NLP or text mining to reporting and open-source content Experience integrating multi-INT data such as SIGINT, HUMINT, GEOINT, OSINT, or MASINT, and performing pattern-of-life analysis … based version control Experience develop ing predictive models and quantitative analyses that support intelligence assessments and operational decision-making Experience applying NLP or text mining to reporting and open-source content Experience integrating multi-INT data such as SIGINT, HUMINT, GEOINT, OSINT, or MASINT, and performing pattern-of-life analysis ...

implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning where relevant. Translate business and customer needs into clear research questions, experimental plans, technical requirements and measurable … design, model development, evaluation and prototype demonstration. Hands-on experience in at least one advanced AI area such as deep neural networks, computer vision, NLP/LLMs, multimodal AI, self-supervised learning, reinforcement learning, time-series analytics or foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn ...

seeking a data analyst focusing on consumer and market datasets to identify emerging risks and consumer harm signals using statistical, machine learning, and NLP techniques. You will design and deploy scalable analytical solutions, automate data workflows, and build dashboards to support evidence-based decision-making for regulatory purposes, while ensuring ...

seeking a data analyst focusing on consumer and market datasets to identify emerging risks and consumer harm signals using statistical, machine learning, and NLP techniques. You will design and deploy scalable analytical solutions, automate data workflows, and build dashboards to support evidence-based decision-making for regulatory purposes, while ensuring ...

Elsevier is seeking a DataOps Engineer to maintain and evolve data and ontology pipelines that power our AI and NLP technology stack. You will collaborate with Ontology and Data Science teams to build high-quality vocabularies and data products, while crafting automation and software solutions to boost efficiency and customer ...

dashboards, and translate collection requirements into repeatable, data-driven workflows. Ideal candidates have 5+ years in data science, strong Python/SQL or R, NLP experience, and a TS/SCI clearance. #J-18808-Ljbffr ...

Contribute to responsible AI practices, including bias, fairness, and risk evaluation Generative AI & Applied Research Apply and adapt state‐of‐the‐art techniques in NLP, embeddings, and generative AI to production use cases. Evaluate and integrate emerging technologies into the team’s roadmap. Contribute to knowledge graph and semantic enrichment … knowledge graph and metadata integration strategy, linking research and health data for more context‐aware retrieval. Apply cutting‐edge research in information retrieval, NLP, embeddings, and generative AI to continuously evolve Elsevier’s discovery and evaluation stack. Collaboration & Delivery Work closely with product, engineering, and domain experts to define ...

assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Develop and deploy machine learning and gen AI solutions to meet enterprise … years) Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source ...

early-stage concepts through to production. Develop, evaluate and integrate AI/ML models and applications. Work across modern AI technologies including LLMs, RAG, NLP, Computer Vision and agent-based systems. Assess model performance, investigate failure modes and optimise solutions. Develop robust, high-quality Python software for technically complex applications. … Agentic AI. LangChain, LangGraph or similar AI orchestration frameworks. PyTorch, TensorFlow, Scikit-learn or Hugging Face. Vector databases, embeddings and model evaluation. NLP, Computer Vision or multimodal AI. Edge AI, AI safety, security or explainability. Experience working on technically complex or highly regulated projects. Requirements Ability to obtain appropriate ...

department to drive data-driven outcomes across the organization. The successful candidate will work closely with data engineers and stakeholders, applying Python/R, NLP, and ML concepts to #J-18808-Ljbffr ...

oriented mindset with a passion for delivering customer value. Ability to manage multiple projects and work independently. Bonus Points For: Experience with Conversational AI, NLP, or chatbots. SaaS or CX platform knowledge. Front-end skills (HTML, CSS, JavaScript). Why Join Us? Work with the latest AI-powered CX technologies. ...

design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? About our Team Our global team support products education electronic health records that introduce students … maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based ...

PostgreSQL and S3. Build Event-Driven Architecture: Help move our architecture from scheduled pipelines towards real-time, event-driven services using messaging, queues, asynchronous processing and distributed systems. Build Infrastructure for AI Agents: Develop the infrastructure required to run increasingly agent-driven AI workflows … reliably in production, including state management, task execution, model routing, retries and observability Support AI Infrastructure: Work closely with our AI engineers supporting production NLP, LLM and quantitative model workloads, including our in-house GPU infrastructure. Automate Infrastructure: Build and manage Infrastructure-as-Code using Pulumi and automate deployments through ...

against quarterly OKRs, own our work end to end, and put collaboration at the heart of how we operate. Strong ML experience, hands-on NLP and production experience with agentic AI are essential. Our stack includes AWS, Python, PyTorch, Docker, LangChain/LangGraph and Langfuse. Experience with reinforcement learning … latency and cost trade-offs Embeddings, vector search and hybrid search Solid grounding in statistics and ML theory across supervised and unsupervised learning, NLP (entities, intent), recommendation, prediction and uplift modelling Full model lifecycle and MLOps: containerisation (Docker/ECR) and deployment on AWS Working with large text datasets ...

like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre-existing code … Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps ...

maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets … reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring services Understanding of Server ...

ground up while delivering measurable impact across a high-volume platform. The Company They are a global technology business operating at significant scale, processing billions of transactions and interactions each year. The business is continuing to invest heavily in Data Science, Machine Learning, and automation, with a particular focus … machine learning models in production environments Strong SQL and data engineering capabilities, with experience working on large-scale datasets Interest in AI technologies, including NLP, Computer Vision, LLMs, or Generative AI applications Experience building scalable data pipelines and ML systems Strong communication skills and the ability to work effectively across ...

capacity visibility, regular reporting, and leadership of team engagement activities. Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R. Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. … onshore support model. Experience in working with information technology. Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView, etc.). Good knowledge of SQL language and simple analysis techniques to profile data. Technical experience and knowledge in On‐Premise and Public Cloud Data Services focused on database architecture, ETL, data ...

data. Strong ML fundamentals across classical ML and deep learning (pandas, scikit-learn, XGBoost or LightGBM, PyTorch), and the judgement to tell when a language model is the wrong tool. A deep understanding of how modern models are built, not only how they're used: transformer architectures, pre-training … models yourself, for example with the Hugging Face ecosystem (Transformers, PEFT/LoRA, TRL), and can explain from first principles why a system fails. NLP depth on long-form professional text: classification, information extraction, entity resolution, summarisation, embeddings and retrieval. Real-world delivery of modern AI approaches (RAG, fine-tuning ...

customer, and have a say in how models are built, validated and deployed in secure environments. What you'll be working on ML and NLP models for intelligence data: pattern detection, data matching, anomaly spotting Automated triage and analysis of large, messy, multi-source datasets (sensor, geospatial, comms) Graph analytics …/ML strategy and best practice as you grow Must have: Experience of Python-based data science and ML, and some exposure to NLP or graph analytics. Comfortable with sensitive data. Able to explain complex analysis to non-specialists. #J-18808-Ljbffr ...

responsibilities Lead the design, development, validation and deployment support of data science models and analytical products. Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate. Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation. Work with data engineers and software teams … Good understanding of data engineering, data quality, privacy, ethics and responsible model use. Desirable skills and experience Experience with MLOps, cloud platforms, vector databases, NLP/LLMs or AI-assisted products. Experience mentoring data scientists or setting technical standards within a team. Experience working in consultancy, public sector, regulated ...

expertise with Microsoft Fabric and Databricks Advanced Python and SQL skills, with PySpark desirable Experience building data pipelines and machine learning models Knowledge of NLP, entity resolution, or document processing is advantageous Strong communication skills and commercial awareness ...

operations to create scalable systems that make a real impact for customers and researchers 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 ...

operations to create scalable systems that make a real impact for customers and researchers? 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 ...

solutions company empowering the world’s most trusted enterprise AI. Our proprietary Cultural Intelligence Layer, powered by 250,000 data specialists, cultural and language experts and deep domain professionals, backed by 45+ patents, makes enterprise AI culturally fluent, contextually accurate and secure, ensuring every interaction reflects a brand … mentoring other engineers. Comfort with ambiguity and the judgment to scope, prioritize, and sequence high‐impact work with limited direction. Preferred Deep experience evaluating NLP, machine translation, or content‐generation systems, including metrics such as COMET, chrF++, BLEU, MetricX, and MQM‐style human evaluation. Experience with experimentation and observability tooling ...