51 to 75 of 118 Natural Language Processing Jobs in the UK excluding London

multiple organisations for collaborative tasks. Detail oriented with excellent prioritisation, and multitasking abilities. Ability to work collaboratively with minimal supervision. Familiarity with AI technologies, such as ChatGPT or similar natural language processing model Experience in the insurance and/or consulting or wider financial services sector. Why join our team: We help you be your best through More ❯

measurable business value through customer-focused models and analytics Experience working in B2C, e-commerce, subscription, retail, or fintech industries is a strong advantage Nice to Have Experience with NLP for customer feedback or support ticket analysis Exposure to MLOps for model deployment and monitoring Familiarity with tools like Amplitude, Mixpanel, or Google Analytics Why Join Us? Shape data-driven More ❯

Excellent communication & stakeholder management skills, with the ability to drive value via end-to-end ownership of business use cases related problems. - Early experience of new tech - such as NLP & generative AI (familiarity with potential use cases, value & concerns - ethical AI, information security). - Front end development (GUI) experience with the ability to leverage the Azure Databricks platform (Databricks Apps More ❯

and cross-functional teams. Champion ethical AI principles, ensuring fairness, transparency, and robustness in deployed models. What we need you to have: A deep technical grounding in machine learning, NLP, computer vision, or autonomous systems,ideally with hands on experience in deep learning frameworks. Proven track record of leading AI initiatives from R&D to production, including delivery of generative More ❯

new Senior Data Scientist, you'll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data More ❯

new Senior Data Scientist, you'll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data More ❯

our projects efficiently and effectively. The Data Scientist role combines data and analytics with applications knowledge. We make extensive use of advanced techniques including LLMs, Computer Vision; Neural Networks; NLP and advanced statistics. Education Qualification (Minimum) Bachelor's Degree in a STEM subject (typically, but not limited to: Maths; Physics; Physical/Engineering Sciences; Data Science; Computer Science; Mechanical/ More ❯

MLOps, RPA, and regulatory trends. What You’ll Bring: Essential: Proven experience leading AI, ML, or automation initiatives in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially More ❯

familiarity with at least one deep learning framework (e.g. TensorFlow, PyTorch) A solid understanding of the full range of data science techniques, including supervised and unsupervised learning, Bayesian methods, NLP, time-series analysis, and SQL querying Ability to scope, design, and lead delivery of innovative data science solutions High level of mathematical and statistical competence Demonstrated ability to lead teams More ❯

as TensorFlow, PyTorch, scikit-learn, and backend frameworks like FastAPI, Django, Flask. Experience with frontend frameworks: React, Vue, or Angular. Hands-on experience building and scaling ML models (LLMs, NLP, classification) and deploying them as APIs/services. Strong skills in MLOps: containerisation (Docker, Kubernetes), cloud deployment (AWS, GCP, Azure), and CI/CD pipelines. Experience with prompt engineering, LLM More ❯

record of building and deploying machine learning models into production. Hands-on experience with both structured and unstructured data. Experience with deep learning models for either computer vision or natural language processing. Proficiency with the Python programming language. Knowledge of Git and collaboration principles. Strong communication and presentation skills. LIFE AS A SATALIAN As an organisation, we push More ❯

a more sophisticated approach to data science and machine learning across the business. Key projects the team are working on currently: Dynamic pricing algorithms for the website Recommender systems NLP and classification Customer and marketing behaviour (LTV and segmentation) A big focus for the next few months will be to make their current product pricing algorithms better! YOUR SKILLS AND More ❯

Job description At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious start-up, youll work directly with our founder and a core team of talented More ❯

optimising for where you can be most impactful and tracking multiple projects at once Nice to haves: Experience working within large Customer Support and internal product spaces Experience with NLP tasks You have commercial experience writing critical production code and working with microservices What's in it for you ️ We'll help you relocate to the UK. We can sponsor More ❯

onsite Duration: Until Dec 2025- possible extension Role Overview: We are looking for a Research Assistant with 2+ years of experience in prototyping and testing AI agents or large language models (LLMs). You will design test prompts, experiment with prompt engineering, and debug AI agent tool calls within a Python/PHP software stack. You’ll also help … Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI agent frameworks such as Model Context More ❯

Europe's most exciting Analytics software companies is looking to hire a Machine Learning Engineer. If your a Machine Learning expert, and are interested in working on automation, AI, NLP & Data Visualisation software products for big corporates then this role might be for you. You will join a rapidly expanding team of experts providing valuable solutions to some of the More ❯

agentic models into real-world forecasting and product platforms. What you’ll do: Lead a high-performing team of data scientists and engineers Drive AI innovation using LLMs, CV, NLP & generative models Oversee architecture of scalable, cloud-native data platforms Partner with product, tech, and commercial leaders to deliver impact Ensure strong data governance, performance, and ethical AI practices What More ❯

facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics (e.g. attribution, funnel metrics) What More ❯

facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics (e.g. attribution, funnel metrics) What More ❯

facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics (e.g. attribution, funnel metrics) What More ❯

facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics (e.g. attribution, funnel metrics) What More ❯

Architect and implement backend services that support secure, air-gapped AI deployments, with a focus on NLP-based tooling * Develop pipelines for transcription ingestion and real-time analytical insight generation * Support graph and RAG-based inference layers using data from structured and unstructured sources * Build and expose APIs for frontend consumption, enabling natural-language querying, dynamic visualisation, and More ❯

leaders to understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical concerns ️ Partner with DevOps to integrate AI models into production systems with CI/CD More ❯

demonstrating domain knowledge and AI expertise. Translate complex business challenges into AI-enabled solutions, collaborating with engineering and data science teams to shape delivery. Recommend appropriate AI technologies (e.g. NLP, ML, predictive analytics) and approaches based on business value and feasibility. Ensure AI solutions are ethical, explainable, and aligned with regulatory and risk frameworks. Lead the development and delivery of More ❯

demonstrating domain knowledge and AI expertise. Translate complex business challenges into AI-enabled solutions, collaborating with engineering and data science teams to shape delivery. Recommend appropriate AI technologies (e.g. NLP, ML, predictive analytics) and approaches based on business value and feasibility. Ensure AI solutions are ethical, explainable, and aligned with regulatory and risk frameworks. Lead the development and delivery of More ❯