226 to 250 of 464 Natural Language Processing Jobs in the UK

quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit) You have hands-on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring) You have advanced proficiency in SQL and Python, with ability to write clean, production ...

experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit). You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring). You have advanced proficiency in SQL and Python, with ability to write clean ...

quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit)You have hands-on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring)You have advanced proficiency in SQL and Python, with ability to write clean, production ...

quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit) You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring) You have advanced proficiency in SQL and Python, with ability to write clean, production ...

pipelines and processing workflows. Architect cloud-native backend systems and distributed AI services. Collaborate closely with Data Scientists to productionise Machine Learning and NLP models. Develop high-performance RESTful APIs and microservices for AI model serving. Drive system reliability, monitoring, observability and performance optimisation. Champion engineering best practices including … 5+ years' commercial experience in AI Engineering, Machine Learning Engineering, Backend Engineering or Data Engineering. Expert-level Python development experience. Experience productionising Machine Learning, NLP or Generative AI models. Strong experience designing and building RESTful APIs and microservices using frameworks such as FastAPI , Flask or Django . Strong SQL skills ...

work faster, stay compliant and ultimately come home safely every day. This is an exciting opportunity to work across machine learning, predictive analytics, NLP and Large Language Models, with the chance to integrate innovative AI capabilities including LLMs, MCPs, APIs and enterprise data into production platforms. You'll work … skills Experience with machine learning frameworks such as TensorFlow, PyTorch and Jupyter Notebooks Strong understanding of predictive modelling and machine learning techniques Experience with NLP and Large Language Models (LLMs) Familiarity with AWS services, including S3, SageMaker and Lambda Experience or knowledge of Microsoft Fabric Understanding of the machine ...

work faster, stay compliant and ultimately come home safely every day. This is an exciting opportunity to work across machine learning, predictive analytics, NLP and Large Language Models, with the chance to integrate innovative AI capabilities including LLMs, MCPs, APIs and enterprise data into production platforms. You'll work … skills Experience with machine learning frameworks such as TensorFlow, PyTorch and Jupyter Notebooks Strong understanding of predictive modelling and machine learning techniques Experience with NLP and Large Language Models (LLMs) Familiarity with AWS services, including S3, SageMaker and Lambda Experience or knowledge of Microsoft Fabric Understanding of the machine ...

Technology Analysis & InnovationCollaborate with Technology and AI teams to develop proof of concepts using emerging AI and ML technologiesDrive innovation in technology strategy analytics: NLP for trend analysis, automated competitive intelligence, and predictive forecastingDevelop AI-powered capabilities for technology due diligence automation, market intelligence gathering, and strategic opportunity identificationKNOWLEDGE & EXPERIENCEEssential ...

Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data ...

comfortable operating at pace in an entrepreneurial environment.Your experience and expertise include:A strong understanding of AI and data technologies (machine learning, NLP, computer vision, generative and agentic AI) and their application to operational efficiency.Proven success managing cross-functional AI or digital transformation programmes, ideally in consulting or asset-intensive ...

technical stakeholdersExperience sharing knowledge with peers particularly the scientific/clinical domain.Nice to Have (Desirable Requirements)ML - Experience of classical ML and NLP methodsSoftware craft – testing, observability, documentation, code reviewRAG pipelines at depth - experience building secure, compliant ingestion and retrieval systems with provenance tracking, including web automation, parsing, and document ...

completely from scratch) Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Experience working with frontend technologies (TypeScript, React, others) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In return Fletchers offers: 35 hours working week Bonus scheme (subject to targets being ...

work with 3 days in the office, allowing collaboration with data science, data engineering and DevOps teams. You'll build and deploy ML/NLP solutions, explore LLMs, and partner with product and engineering to deliver production-ready models across AWS and Azure, improving compliance and safety outcomes. #J ...

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 ...

production features. ML Engineer/Applied Scientist – Own end‐to‐end ML projects from problem framing through to production deployment, specialising in a domain (NLP, vision, recommender systems, time‐series). Senior ML Engineer/Senior Scientist – Lead the technical design of major ML systems; mentor a small group ...

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 ...

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 ...

Bioinformatics, Computational Biology, Structural Biology, Computer Science, Data Science, or a related field Familiarity with structural biology and molecular simulation data Experience with NLP/LLM-based scientific literature mining Demonstrated experience with FAIR data principles, metadata standards, and scientific repositories. Understanding of sequence, structure, and functional annotations of proteins ...

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 perform … 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 ...

develop, test and optimise machine learning and AI solutions addressing key business challenges including claims analysis, fraud detection, risk assessment and customer insights Develop NLP, LLM, RAG and agentic AI solutions that process unstructured data, generate actionable insights and enable multi-step automated workflows Build and maintain data pipelines ensuring … data science libraries including scikit-learn, TensorFlow, Keras, Pandas and Seaborn Solid understanding of SQL and experience with NoSQL databases Hands-on experience building NLP, LLM, RAG and agentic AI solutions using frameworks such as LangChain, LangGraph, LlamaIndex and Hugging Face Transformers Familiarity with MLOps practices including Git, CI/ ...

model performance evaluation and predictive model optimisation for accuracy and efficiencyWhat could set you apartExperience with specific AI techniques, such as neural networks or natural language processing.Knowledge of the financial services industry.Contributions to open-source AI projects.Experience with data visualization tools.Passion for data science, data mining, machine learning ...

model performance evaluation and predictive model optimisation for accuracy and efficiencyWhat could set you apartExperience with specific AI techniques, such as neural networks or natural language processing.Knowledge of the financial services industry.Contributions to open-source AI projects.Experience with data visualization tools.Passion for data science, data mining, machine learning ...

model performance evaluation and predictive model optimisation for accuracy and efficiencyWhat could set you apartExperience with specific AI techniques, such as neural networks or natural language processing.Knowledge of the financial services industry.Contributions to open-source AI projects.Experience with data visualization tools.Passion for data science, data mining, machine learning ...

opportunity to: 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, into production environments. Integrate data from diverse sources through both streaming and batch ingestion using technologies such as Azure Data ...

engineering-related field• 5+ years’ work experience in a financial or technology company• Hands-on experience working with unstructured text data - for example NLP, text analytics, large news or document corpora, or LLM-based pipelines• Knowledge of Python or SQL. Understanding of how ETL pipelines work a plus.• Understanding ...