26 to 50 of 111 Natural Language Processing Jobs in the UK

creating FAQs, support articles, and knowledge base content Basic knowledge of AI concepts, cloud platforms, and APIs is strongly preferred. Familiarity with AI systems, natural language processing tools, or machine learning products. Experience using tools like Jira, Confluence and CRM tools, or similar bug tracking and documentation ...

with experience in or exposure to techniques for anomaly detection, predictive analytics or automated classification within large datasets (eg transaction data, expense claims) and Natural Language Processing for extracting key information from unstructured tax-related documents (eg invoices, contracts, tax legislation) Connect to your business – Tax Innovation ...

with experience in or exposure to techniques for anomaly detection, predictive analytics or automated classification within large datasets (eg transaction data, expense claims) and Natural Language Processing for extracting key information from unstructured tax-related documents (eg invoices, contracts, tax legislation) Connect to your business – Tax Innovation ...

with experience in or exposure to techniques for anomaly detection, predictive analytics or automated classification within large datasets (eg transaction data, expense claims) and Natural Language Processing for extracting key information from unstructured tax-related documents (eg invoices, contracts, tax legislation) Connect to your business – Tax Innovation ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

built and rolled out! Avail is used by thousands of lawyers in the UK to optimise legal document review, using cutting-edge natural language processing and machine learning to produce instant legal risk reports These reports supercharge how lawyers can report on property to their clients. What ...

software company is developing conversational analytics platforms that allow organisations to interact with complex datasets through natural language. Their technology combines traditional NLP systems with modern LLM capabilities to create intelligent data assistants and private enterprise language models. The company is expanding its data science team to support … users Key Details • Salary: £65,000 – £70,000 • Working model: Hybrid, 1 day per week in Canary Wharf, London • Tech stack: Python, ML algorithms, NLP, LLMs, AWS • Visa sponsorship: Not confirmed Interested? Please apply below. ...

cases in business planning, including prompt engineering and RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose … technologies Understanding of RESTful API design, microservices architecture, and cloud infrastructure Experience with prompt engineering, RAG systems Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines Excellent problem-solving skills and attention to detail Bachelor ...

both internal and client stakeholders. Advanced Modelling : Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming ...

development of innovative solutions. Your Profile Essential skills/knowledge/experience: Proficiency in Python and extensive experience with AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine ...

contribute to the development of innovative solutions.Your ProfileEssential skills/knowledge/experience: Proficiency in Python and extensive experience with AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering ...

products. Contribute to technical best practices, innovation, and AI engineering standards . Key Skills & Experience Strong Python development experience with AI/ML/NLP libraries (Hugging Face, spaCy, NLTK). Experience building applications using LLMs (GPT, Llama, Mistral, Claude) including prompt engineering, fine-tuning and evaluation. Hands-on experience ...

Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude ...

/GCP Python - Preferred Docker Preferred or Kubernetes SQL/PostgreSQL Git Nginx Flask or Fast API CI/CD, API development & Management, NLP, Machine Learning Experience & skills: 5+ years of commercial experience as a Data Scientist with current tech stack. Relevant degree, e.g., Computer Science or Statistics. Comfortable with ...

applied machine learning About You Proven experience in AI/ML engineering, AI architecture, or data science Strong understanding of generative AI, LLMs, NLP, and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience deploying AI models in cloud environments (AWS, Azure, or GCP) Strong Python skills and experience integrating APIs ...

/GCP Python - Preferred Docker Preferred or Kurbenetes SQL/PostgreSQL Git Nginx Flask or Fast API CI/CD, API development & Management, NLP, Machine Learning Experience and skills 5+ years of commercial experience as a Data Scientist building machine learning models. Relevant degree, e.g., Computer Science, Machine Learning, Operations ...

Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow ...

sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend ...

strategic client engagement. As a Gen AI Architect, you will: Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions. Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Defining architectural patterns for end-to-end pipelines Act as a trusted advisor ...

multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would ...

Agent SDK · LLMOps 2. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 3. Staff SE – MLOps/DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across ...

learning and AI delivery Generative AI/LLM experience Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning and NLP stacks (PyTorch, HuggingFace Transformers) MLOps and model operationalization Responsible AI awareness Additional Requirements: Security clearance (SC/BPSS) Pre‐sales contribution experience Familiarity with regulated ...

various data sources can be used to identify fraudulent activity. Advanced knowledge and practical experience of developing, implementing and harnessing generative AI and NLP for the benefit of counter fraud. oAccredited Counter Fraud Specialist or member of Government Counter fraud Profession oDemonstrate CPD. oPolitically astute with knowledge of national ...

various data sources can be used to identify fraudulent activity. Advanced knowledge and practical experience of developing, implementing and harnessing generative AI and NLP for the benefit of counter fraud. oAccredited Counter Fraud Specialist or member of Government Counter fraud Profession oDemonstrate CPD. oPolitically astute with knowledge of national ...

pipelines.* **Depth Experience:** in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection* **Deployment Experience*** Proven ...