201 to 225 of 419 Natural Language Processing Jobs in England

data, pricing services, scenario generation, or analytics input validation. Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics. CFA, FRM, CQF, or other relevant professional qualification. About S&P Global Market Intelligence At S&P Global ...

market data, pricing services, scenario generation, or analytics input validation.Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics.CFA, FRM, CQF, or other relevant professional qualification.About S&P Global Market IntelligenceAt S&P Global Market Intelligence ...

TypeScript, Python, C#, or similar technologies, with experience building scalable application programming interfaces, microservices, and distributed systemsPractical experience building enterprise AI applications using large language models, including agents, retrieval augmented generation, orchestration frameworks, and model optimizationDemonstrated ability to own services, components, or features end to end, from technical design … delivery of assigned features and components end to end, from technical design through deployment, monitoring, production support, and continuous improvementBuild and enhance large language model application features using retrieval augmented generation, orchestration frameworks, evaluation methods, agentic workflows, and tool integrationContribute to technical designs, participate in design reviews, and identify ...

study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms … data modeling techniques- Excelling in coaching and mentoring team members- Embracing change and innovation in technology consulting- Developing skills in neural networks and natural language processingTravel RequirementsUp to 80%Job Posting End DateThe salary range for this position is: $99,000 - $232,000. Actual compensation within the range ...

Lead Technologist to join our rapidly expanding Data and Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. … candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. ...

expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration.Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)Strong coding in Python and experience ...

expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration.Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)Strong coding in Python and experience ...

/ML engineering or software development, with production AI deployment experience Degree in Computer Science (or equivalent) with strong AI/ML/NLP foundations Strong Python skills, familiarity with Java/Kotlin, and solid API design experience Hands-on experience with LangChain, LangGraph, and LLM APIs (OpenAI, Anthropic, etc. ...

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 ...

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 ...

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 ...

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 ...

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 ...