176 to 200 of 412 Natural Language Processing Jobs in the UK

capabilities, and skills Advanced degree (MS or PhD) in a quantitative or STEM discipline or significant practical experience in industry. Commercial experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, personalisation, classification, recommendation or forecasting. Advanced python … understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, deep learning, reinforcement learning, etc. Strong knowledge of NLP, language modelling, prompt engineering, and domain adaptation. Ability to communicate complex concepts and results to both technical and business audiences. Preferred qualifications, capabilities ...

plans and priorities when required. Strong understanding of data ethics, privacy, bias, explainability and governance. Desirable skills and experience Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products. Experience setting data science strategy or leading cross-functional technical communities. Experience in consulting, public-sector ...

software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building new relationships and maintaining current customer relationships. ...

Conversational Design* Experience designing chatbots virtual assistants or AI powered digital experiences* Expertise in Figma Adobe XD Sketch or similar design tools* Understanding of NLP concepts intents entities and chatbot frameworks* Experience with customer journey mapping usability testing and interaction design* Knowledge of Microsoft Copilot Studio Dialog flow Azure ...

SaaS architectures. Proven experience designing and executing customer pilots and proofs of concept that demonstrate business value. Deep understanding of AI technologies (LLMs, ChatGPT, NLP, MCP automation frameworks) and their practical applications in CX. Expertise in one or more of the following domains: CCaaS, Customer Service software, ITSM, Business Intelligence ...

engineers. Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-5.5), iterate on model architectures … implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Stay informed about the latest trends and advancements ...

implement LLM-powered applications & enrichments, multi-agent workflows, and autonomous AI systems that directly impact our users' experiences. Your work will involve orchestrating large language models, building sophisticated prompt engineering frameworks and fine-tuning. You’ll be responsible for deploying and operating these LLM applications at scale, ensuring they … engineering, software development, or related technical roles with demonstrable experience building and deploying AI-powered applications - Good theoretical knowledge of AI, ML and NLP principles as demonstrated by a bachelor's or master's degree in computer science or equivalent degree. - Strong programming proficiency in Python and familiarity with Java ...

decisioning and drive data quality issues before they become delivery problems Design end to end decisioning solutions Translate model outputs and complex logic into language non-technical stakeholders can understand and trust Mentor junior team members and build decisioning capability across the practice Contribute to business development — shaping proposals … Comfortable working with messy, incomplete requirements and driving clarity through action English fluency and comfort working in global, cross-functional teams Preferred Experience with NLP, computer vision, or multimodal AI models Knowledge of AI safety, guardrails, and responsible AI practices in production Familiarity with Snowflake, Databricks, or similar data platforms ...

architectures and solutions. Facilitate AI discovery and use case workshops. Develop advanced machine learning and predictive models. Lead implementation of generative AI solutions. Design natural language querying,OCRand conversational AI solutions. Oversee model deployment, monitoring, and governance. Mentor consultants and provide technical leadership. Support pre-sales activities … delivery. Advanced Python and PySpark skills. Strong Microsoft Fabric experience. Experience with machine learning frameworks and libraries. Experience delivering generative AI solutions. Knowledge of NLP, document intelligence, and multimodal AI. Understanding of MLOps principles and practices. Strong stakeholder engagement and workshop facilitation skills. Experience mentoring technical teams. Strong consulting ...

Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels ...

visualisations to non-technical audiences. Awareness of data ethics, privacy, bias, model limitations and responsible use of data. Desirable skills and experience Experience with NLP, time series, optimisation, predictive analytics or simulation. Experience with cloud data platforms, notebooks, Git, APIs or data pipelines. Experience delivering data science outputs within Agile ...

Machine Learning, AI, Data Science, Data Engineering and SaaS environments. Experience leading technical teams, including some people management responsibility. Strong experience working with NLP, LLMs and other modern AI/ML solutions. Strong technical background across Data, Development and Cloud, ideally with Python and Azure. Previous experience taking ML/ ...

Machine Learning, AI, Data Science, Data Engineering and SaaS environments. Experience leading technical teams, including some people management responsibility. Strong experience working with NLP, LLMs and other modern AI/ML solutions. Strong technical background across Data, Development and Cloud, ideally with Python and Azure. Previous experience taking ML/ ...

Extensive hands‐on experience as an individual contributor in ML engineering, with a proven track record of shipping production AI systems. Deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Practical experience implementing distributed, multi‐threaded ...

software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent customerrelationships. Expertise Required ...

/Agentic RAG pipelines: chunking and indexing, retrieval tuning, re-ranking, grounding checks. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Mentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, raising engineering ...

infrastructure, open-source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying Artificial Intelligence, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which enable ...

cloud infrastructure, open‐source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying AI, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which enable ...

parametric uncertainty quantification, Bayesian estimation) and causal inference, with experience designing both controlled experiments and observational studies. Experience applying machine learning, statistical modelling, NLP and LLM-based techniques to analyse customer behaviour and conversational data, diagnose root causes and identify the drivers of outcomes. Experience designing measurement frameworks for complex ...

Fabric or Databricks through coursework, projects, internships or early‐career work; familiarity with scikit‐learn, Spark, dbt, Power BI or comparable tools is useful. NLP, information extraction, embeddings, document analysis, network or graph analysis, or time‐series project experience. A portfolio, dissertation, research paper, competition entry or other evidence ...

that support business requirements, ranging from predictive modelling to Generative AI applications. LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments. Agentic & Multi-Agent Systems: Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that … data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). What We Offer: Competitive Salary ...

into AI solution designs and measurable outcomes. Develop, train and evaluate AI and Machine Learning models across areas such as computer vision, autonomy, large language models and predictive analytics. Design and maintain robust data processing, training and evaluation pipelines. Apply Responsible AI principles, ensuring model robustness, explainability, security … such as PyTorch, TensorFlow or Scikit-Learn. Knowledge of autonomy frameworks such as ROS2 or equivalent technologies. Experience working with Computer Vision, Deep Learning, NLP/LLM or Time-Series Analytics solutions. Strong understanding of data analysis and manipulation using tools such as Pandas, NumPy and SQL. Experience deploying ...

Solirius Reply, part of the Reply Group, is seeking an AI Data Scientist to build intelligent, data-driven products. You will design, develop and deploy machine learning models, collaborating with data engineering, analytics, product, and ...

/AI solutions and prototype robustly. The role focuses on informing policy through cutting-edge data science. The AA team applies generative AI, NLP, agent-based models and network analytics, encouraging collaborative problem solving and scalable deployments across the Bank's data platform. #J-18808-Ljbffr ...

/AI solutions and prototype robustly. The role focuses on informing policy through cutting-edge data science. The AA team applies generative AI, NLP, agent-based models and network analytics, encouraging collaborative problem solving and scalable deployments across the Bank's data platform. #J-18808-Ljbffr ...