151 to 175 of 334 Natural Language Processing Jobs in London

cloud platforms (AWS, Azure, or GCP) Experience of containerisation (Docker) and orchestration (Kubernetes) Exposure to data engineering tools/libraries (e.g. Pandas, NumPy) or NLP libraries Knowledge of message queues/event-driven architecture (e.g. RabbitMQ, Kafka) Understanding of CI/CD tools (e.g. Jenkins, GitHub Actions, Azure DevOps) Experience ...

solving mindset with the ability to operate independently and step up into a leadership vacuum when needed.What we prefer you have:Experience with advanced NLP techniques beyond prompt engineering, including fine-tuning and evaluation frameworks for generative models. Experience working in the (re)insurance industry, with an understanding of underwriting ...

mindset with the ability to operate independently and step up into a leadership vacuum when needed. What we prefer you have: Experience with advanced NLP techniques beyond prompt engineering, including fine‐tuning and evaluation frameworks for generative models. Experience working in the (re)insurance industry, with an understanding of underwriting ...

Experience designing, testing and deploying production-scale AI/ML solutions (APIs, microservices, cloud deployment, endpoint deployment, registries, pipelines)Experience with LLM based applications (NLP, embeddings, semantic search, RAG, Graph RAG, fine-tuning)Proficient in ML tools and modern ecosystem (PyTorch, MLFlow, FastAPI, SQL Alchemy)Experience retrieving data from structured ...

with datasets, ETL pipelines, and metrics definition Nice to have (but not essential) Experience with agentic workflow systems and complex orchestration patterns Background in NLP or contributions to open‐source AI/ML projects Experience with model fine‐tuning or custom training approaches Familiarity with MLOps platforms and experiment tracking ...

analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit ...

including working with datasets, ETL pipelines, and metrics definitionNice to have (but not essential)Experience with agentic workflow systems and complex orchestration patternsBackground in NLP or contributions to open-source AI/ML projectsExperience with model fine-tuning or custom training approachesFamiliarity with MLOps platforms and experiment tracking toolsExperience with ...

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 ...

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 ...

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 ...

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 ...

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 ...