251 to 275 of 1,372 Natural Language Processing Jobs in the UK

implementations across complex environments Hands-on experience delivering AI/GenAI solutions in networks, telecommunications, or customer experience domains is strongly preferred Deep understanding of architecture patterns for LLMs, NLP, MLOps, RAG, APIs, and real-time data integration Strong background in working with cloud platforms (GCP, AWS, Azure) and big data technologies (e.g., Kafka, Spark, Snowflake, Databricks) Demonstrated ability to More ❯

Kubernetes). Strong problem-solving skills and a passion for driving measurable business impact. Knowledge of marketing measurement techniques like media mix modelling. Exposure to advanced AI techniques (RNNs, NLP, GenAI, CausalAI, etc.). If this role looks of interest, reach out to Joseph Gregory Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function More ❯

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯

Qualifications Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages like Python, R, or Java. Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning. Strong understanding of data structures, algorithms, and statistics. Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models. Knowledge of MLOps tools and practices More ❯

Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/ More ❯

Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand form on a day-to-day More ❯

Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand form on a day-to-day More ❯

on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from NearTech Search Multilingual Senior Recruitment Consultant | Machine Learning | NLP | LLM | MLOps Python Engineer - London | Hybrid - £60,000 - £75,000 Looking to make your mark in the Ad-Tech space? Our client, a trailblazer in data-driven digital advertising, is More ❯

both supervised and unsupervised. Proficient programming skills with Python, including libraries such as NumPy, pandas, and scikit-learn, as well as R. Understanding and usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection 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 ❯

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 ❯

other programming/scripting languages; solid understanding and experience with Cloud technologies; OOP, TDD, GitHub/Actions/Flow, and MLOps best practices; classical ML algorithms; at least some NLP, etc. Strong academic record in a quantitative field (MEng, MSci, EngD or PhD). Excellent and proven communication and teamwork skills. Previous experience in high-growth technology companies or technical More ❯

scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling More ❯

Desirable Knowledge: Experience working with enterprise BI tools Exposure to dashboard automation , embedding, or performance optimisation Understanding of data governance , quality assurance, and best practices in analytics Familiarity with NLP , generative AI , or predictive analytics is a plus Experience or exposure to data science and ML approaches is a plus Comfort working in cross-functional, Agile environments What Success Looks 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 ❯

scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling 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 ❯

proposals, including solution overviews, technical narratives, architecture diagrams, and estimates. Contribute to bid strategy, win themes, and differentiators based on the latest AI technologies (e.g. GenAI, LLMs, computer vision, NLP, predictive modelling). 4. Prototype and Demonstrate Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools (e.g. Power More ❯

on building large-scale reinforcement learning solutions for content recommendation Experience with transport industry Experience with cloud infrastructure Experience with graph technology and/or algorithms Have experience with NLP, designing, fine-tunning and developing GenAI models and building agent AI systems Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, TensorFlow, etc...) PySpark More ❯

England, United Kingdom 11 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago Data Scientist – NLP, LLMs, & Prompt Engineering Register Your Interest – (Senior) Agentic AI Research Scientist London, England, United Kingdom 2 weeks ago Senior Software Engineer - Machine Learning London, England, United Kingdom 1 month ago More ❯

on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Data architecture, data lineage and all aspects of AI including, but not limited to, NLP, ML, deep learning and Generative AI Testing/quality engineering; experience of test automation will be beneficial Process Automation, BPM and Digital Platforms, e.g. Pega Cloud technology (knowledge of any More ❯

SSIS, Python, Java, Scala, XML/FpML and Power BI Solution architecture (Business, Functional, Technical) Data architecture, data lineage and all aspects of AI including, but not limited to, NLP, ML, deep learning and Generative AI Integration architecture Testing/quality engineering; experience of test automation will be beneficial Process Automation, BPM and Digital Platforms, e.g. Pega Cloud technology (knowledge More ❯

Social network you want to login/join with: Reporting to the Group Claims Data & Insights Manager London/York/Atlanta/Lisbon – Hybrid working The role: The Data Scientist is a technically excellent problem-solver responsible for providing More ❯

Natural Language Processing Engineer (NLP) - Advanced AI & Language Technologies Contract positions Outside IR35 6 months (extensions likely) Hybrid working Company Overview : Our client are at the forefront of innovation in Artificial Intelligence and Natural Language Processing (NLP). Their mission is to help customers revolutionise the way machines understand and interact with human … language. We’re looking for talented and driven NLP Engineers to join the dynamic team and contribute to cutting-edge projects that drive impactful change across industries. Position Overview : We are seeking an experienced NLP Engineer with a deep understanding of language technologies and machine learning to work on exciting, real-world NLP challenges. The ideal candidate will have … a strong academic background in computational linguistics or a related field, coupled with professional experience in implementing NLP models in production environments. If you have a passion for advancing language technologies and thrive in a collaborative, fast-paced environment, we want to hear from you! Key Responsibilities : Develop and deploy state-of-the-art NLP models and solutions using 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 … re using the latest in AI to automate and innovate, empowering businesses to achieve exceptional productivity and compliance outcomes. Summary Develop practical NLP and Generative AI solutions for the financial services industry, working with both document and conversational data. Design and implement NLP components leveraging large language models (LLMs) to solve real-world challenges in text and speech analysis … product managers to integrate AI solutions into scalable cloud-based applications, ensuring project timelines and objectives are met to deliver impactful results for financial services use cases. Responsibilities: Develop NLP Components : Utilise general NLP techniques and Generative AI to design and implement key NLP components for products, addressing specific tasks such as information extraction, text classification, summarization, and other language More ❯