176 to 200 of 268 Natural Language Processing Jobs in the UK

Hybrid A leading organisation is expanding its AI capability and is looking for a Machine Learning Engineer to help build and scale next-generation NLP and Gen AI solutions. This role sits at the heart of an established data function, working on real production workloads rather than prototypes. ...

Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines. Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry). Proven CS fundamentals including data structures, algorithms, and distributed systems. Proven theoretical and practical experience in modern ML technologies, including ...

communication and stakeholder engagement; 3+ years leading teams. Nice to Have OpenAI API experience; LLM deployment; low/no-code AI orchestration; OCR/NLP; Azure Functions/Kubernetes/Terraform; automation tools (n8n, Make.com, Zapier); HR tech experience; medallion architecture; Azure certifications. Benefits Work from Anywhere Policy : Enjoy ...

deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement skills SC clearance/Clearable and British ...

deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement skills SC clearance/Clearable and British ...

deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement skills SC clearance/Clearable and British ...

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 ...

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. Requirements: Required Skills PhD or MSc in Computer Science, Data Science, Information Retrieval ...

. NET , Python, SQL, APIs , Azure, Power Platform, SaaS , PaaS , IaC . Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP , MCP etc . Experience in architecture and software development methodologies , and design techniques e.g. Agile, C4, UML , TOGAF , Microsoft Well-Architected Framework , design patterns . ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

support commercial teams Developing Q&A-style LLM tools inside Databricks Exploring customer satisfaction and review data (e.g., identifying drivers behind quality scores) NLP on large volumes of free-text data Regression and hypothesis testing across product and operational data Theme extraction from defect reports and customer feedback Helping challenge ...

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 ...

experience designing and leading customer pilots, POCs (Proof of Concept), and AI-driven solution demonstrations. Knowledge of AI technologies such as LLMs, ChatGPT, NLP, MCP and automation frameworks. Familiarity with Customer Service software, ITSM, CCaas, Business Intelligence, Workforce Management, QA, or Integration middleware. Proven ability to translate technical capabilities into ...

mentor peers in experiment design and evaluation craft. What You Bring: 5–8 years in applied DS/ML with strong IR/NLP experience (RAG, dense/sparse retrieval, re-ranking, vector search). Proficiency in Python, PyTorch/Transformers, Pandas; reproducible experiments (e.g., MLflow), versioned datasets, and clean ...

Responsibilities Own end-to-end ML delivery from problem definition through deployment Build and productionise models across forecasting, pricing, churn, segmentation, fraud, and NLP use cases Work closely with data engineers and cloud infrastructure to scale solutions Translate technical work into clear commercial impact for senior stakeholders Contribute to code ...

edge network (CDN) and security (WAF, DDoS), video streaming - Livestream solution end-to-end, RTC, VOD and ML applications (ML Recommend, computer vision, NLP, generative AI) About Us Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products ...

edge network (CDN) and security (WAF, DDoS), video streaming - Livestream solution end-to-end, RTC, VOD and ML applications (ML Recommend, computer vision, NLP, generative AI) About Us Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products ...

carried through to production Desired Skills/Experience Experience of working with .NET 5/.NET Core Experience of .NET stack AI technologies (ML.NET, NLP etc.) Experience of working with Rx (Reactive Extensions) Experience of working with Python Experience of working with HTML5 and JS A working knowledge of Fixed ...

Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real-time ...

hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power ...

z2bz0 years in leadership roles. Deep understanding and experience of AI technologies, trends and strategies with expertise in machine learning, deep learning, NLP, computer vision, or other AI domains such as Generative AI and Agentic AI. Track record of deploying AI solutions at scale with experience in leveraging and building ...

Technology, Electrical Engineering, or a related field. Solid foundation in AI/ML techniques, including supervised, unsupervised, and reinforcement learning, deep learning, and large language models (LLMs). Experience with ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Hands-on experience deploying ML models in production environments using …/NoSQL, and other DBMS technologies. Understanding of system automation, protection, and diagnostics in relevant sectors. Experience with deep learning algorithms, reinforcement learning, NLP, and computer vision in applicable domains. Excellent communication, organizational, and problem-solving skills, with a strong emphasis on teamwork, collaboration, and fostering inclusive environments. ...

hands-on research, software development, and collaboration with a multidisciplinary team in a dynamic environment. Responsibilities include: Conduct independent research in audio and speech processing, including signal processing, machine learning, and deep learning. Design, develop, and implement algorithms and systems for audio/speech analysis, enhancement, separation … plus. Solid understanding of machine learning and deep learning, including model architectures, training, and evaluation. Proven research experience in audio/speech processing with publications in top-tier conferences/journals. Proficiency with ML frameworks such as TensorFlow or PyTorch. Strong analytical and problem-solving skills; ability to design ...