51 to 75 of 116 Natural Language Processing Jobs in the UK excluding London

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 ...

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 ...

/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 ...

leading technology products in a secure, scalable way. You will work on critical solutions across multiple areas, building production Python systems and ML/NLP workloads, including LLM/SLM powered applications and RAG patterns. The role emphasizes secure coding and performance. #J-18808-Ljbffr ...

assets using Microsoft Fabric and Databricks. Designing scalable lakehouse data models and governed datasets. Conducting exploratory data analysis and developing machine learning models. Applying NLP, entity resolution and information extraction techniques to document-heavy datasets. Deploying analytical solutions into production through APIs, pipelines and data products. Implementing data quality, monitoring ...

deep learning, transformers, Generative AI or Agentic AI. Experience across areas such as PyTorch, TensorFlow, scikit-learn, Hugging Face, cloud platforms, MLOps, computer vision, NLP, geospatial data or multimodal AI would also be of interest, although candidates are not expected to have experience across every area. Alongside the technical skills ...

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). Benefits Package and Benefits: Competitive ...

pipelines and production-grade model code within governance standards. The role requires strong Python, ML lifecycle, and cloud experience, with exposure to Generative AI, NLP, and responsible AI practices. #J-18808-Ljbffr ...

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

production impact with sophisticated ML challenges – Build ML systems that analysts and financial professionals actually use daily; solve hard problems at the intersection of NLP, document intelligence, reasoning systems, and production‐scale deployment; measure your impact in both model performance and business outcomes Accelerated career trajectory in AI leadership – High … from the ground up – Design and architect net‐new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks (PyTorch, etc.), large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates Drive breakthrough AI innovation and experimentation boldly – Lead exploration ...

production impact with sophisticated ML challenges – Build ML systems that analysts and financial professionals actually use daily; solve hard problems at the intersection of NLP, document intelligence, reasoning systems, and production-scale deployment; measure your impact in both model performance and business outcomes Accelerated career trajectory in AI leadership – High … from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks (PyTorch, etc.), large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates Drive breakthrough AI innovation and experimentation boldly – Lead exploration ...

Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps Experience contributing … judge approaches Experience with Generative AI techniques such as retrieval-augmented generation, fine-tuning, or prompt engineering Exposure to distributed data processing frameworks, such as Spark Exposure to fraud detection, anti-money laundering, anomaly detection, or graph and network-based modelling Awareness of model risk management, governance, and regulatory ...

Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps Experience contributing … judge approaches Experience with Generative AI techniques such as retrieval-augmented generation, fine-tuning, or prompt engineering Exposure to distributed data processing frameworks, such as Spark Exposure to fraud detection, anti-money laundering, anomaly detection, or graph and network-based modelling Awareness of model risk management, governance, and regulatory ...

data science with client-facing consultancy to help public sector clients use data and AI responsibly. You will work with Python, ML and NLP, design and evaluate AI solutions, mentor colleagues, and contribute to building maintainable data services. The role requires SC clearance and UK residency; salary range ...

data science with client-facing consultancy to help public sector clients use data and AI responsibly. You will work with Python, ML and NLP, design and evaluate AI solutions, mentor colleagues, and contribute to building maintainable data services. The role requires SC clearance and UK residency; salary range ...

technologies and helping shape an expanding research capability. Projects can move quickly and span areas including distributed systems, AI, observability, cloud-native technology, messaging, NLP and image processing. What we’re looking for: • A strong software engineering background, ideally with recent hands-on development experience • Strong Python skills and/ ...

cases, design data pipelines and models, and lead end-to-end execution from discoveries through production and ongoing optimization Strong grounding in prompt engineering, NLP, optimization, and AI; proficiency with Python, model lifecycle; experience translating operational pain points into deployable solutions; excellent communication and storytelling; and a track record delivering ...

prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Summary We’re seeking a versatile Senior Machine Learning Engineer with strong data engineering instincts … agentic workflows into our digital solutions. Our mission is to translate the latest advancements in AI into real business impact. Key Responsibilities LLM/NLP Model Development Deploy and fine tune LLMs models for domain-specific tasks. Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets ...

such as Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Degree … Science, AI and Advanced Analytics Applying statistical, predictive or machine learning techniques to business problems using Python or R. Experience across forecasting, classification, optimisation, NLP or GenAI‐enabled analysis. Translating model outputs into business recommendations. Awareness of model performance, explainability and responsible AI. Data Governance, Data Quality and Data Management ...

such as Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Proficiency … Science, AI and Advanced Analytics Applying statistical, predictive or machine learning techniques to business problems using Python or R. Experience across forecasting, classification, optimisation, NLP or GenAI‐enabled analysis. Translating model outputs into business recommendations. Awareness of model performance, explainability and responsible AI. Data Governance, Data Quality and Data Management ...

experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature, with some support and technical direction set by seniors. Experience … training and developing AI models including Large Language Models. Ability to produce high-quality scientific (academic style) writing for internal & external publication. Problem solve with high levels of autonomy, with some input from technical leaders. Be a self-starter, being pro-active in finding solutions. Desirable Skills & Experience PhD. ...

over engineering knowledge from drawings, specifications and reports. You will own implementations, mentor juniors, and work with the SCOTi team while applying ML/NLP and data engineering to production pipelines, enabling enterprise decision-making. #J-18808-Ljbffr ...

solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language ...

assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Develop and deploy machine learning and gen AI solutions to meet enterprise … essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source ...