276 to 300 of 419 Natural Language Processing Jobs in England

DevOps-oriented workflow Apply strong knowledge of ML techniques, from supervised/unsupervised learning through to emerging methods in generative ai and large language models What We’re Looking For: Essential Skills & Experience Proven experience solving complex, real-world problems using data science and analytics Strong Python skills (pandas … stakeholders Ability to align analytical outputs with broader business objectives Someone with 1-3 years of industry experience Desirable Skills Experience using R and NLP or deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs) Familiarity with generative AI and prompt engineering Experience with Azure Databricks, MLflow, Azure ...

tool 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 businessDevelop and deploy machine learning and gen AI solutions to meet enterprise goals … Python is essentialDeep understanding of Agentic AI systems and multi-agent architecturesProficiency 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 ...

Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We focus on advanced algorithms and training techniques for Large Language Models (LLMs) and Data-Centric Machine Learning.While our Research Scientists push the boundaries of what models can do, the Research Engineering team defines … platform or ML tooling product, including defining adoption metrics and iterating based on user research.Background in Platform Engineering.Experience contributing to open-source LLM or NLP libraries.As part of the application process, please include a brief written blurb (300–500 words) describing a sufficiently complex or technically interesting project that ...

prompt registries, model and version governance, monitoring and alerting, and rollback strategies Architect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event‐driven patterns, meeting service level objectives Partner with product, operations … stakeholder management and teamwork skills, with the ability to drive outcomes in partnership with cross‐functional teams Preferred Qualifications, Capabilities, and Skills Experience with NLP and generative AI, including large language models, retrieval‐augmented generation, tool and function calling, agentic workflows, multi‐agent orchestration, and related evaluation and safety ...

prompt registries, model and version governance, monitoring and alerting, and rollback strategies Architect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event-driven patterns, meeting service level objectives Partner with product, operations … stakeholder management and teamwork skills, with the ability to drive outcomes in partnership with cross-functional teams Preferred Qualifications, Capabilities, and Skills Experience with NLP and generative AI, including large language models, retrieval-augmented generation, tool and function calling, agentic workflows, multi-agent orchestration, and related evaluation and safety ...

from research and experimentation through production deploymentResearch and train ML models that help investors assess and manage sustainability risksDesign and build real-time NLP pipelines using large language modelsDevelop evaluation frameworks and annotation tooling that drives continuous model improvementStay current with the latest research in NLP, LLMs, and estimation … building production ML systems, with exposure to sustainability and responsible investment problemsPractical experience with Machine Learning problems and Large Language ModelsPh.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experienceProficiency in software engineering with Python ...

model and prompt registries, model and version governance, monitoring and alerting, and rollback strategiesArchitect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event-driven patterns, meeting service level objectivesPartner with product, operations … ready documentationStrong stakeholder management and teamwork skills, with the ability to drive outcomes in partnership with cross-functional teamsPreferred Qualifications, Capabilities, and SkillsExperience with NLP and generative AI, including large language models, retrieval-augmented generation, tool and function calling, agentic workflows, multi-agent orchestration, and related evaluation and safety ...

helping teams work better together throughAI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We\'ve been featured inHarvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private … Exceptional client-facing skills —with a proven ability to build trust and drive outcomes with senior stakeholders, including C-suite and executive leaders. French language skills highly prioritized. Structured problem-solving ability —you can break down complex challenges, connect the dots, and craft solutions that drive results. Proven influence ...

apply the latest AI techniques and lead complex projects in a dynamic environment. Ideal candidates possess strong Python and SQL skills with experience in NLP and GenAI. Competitive salary of £120,000-£140,000 with benefits including equity options and 25 days holiday. If interested, please reach ...

success in online data science competitions, such as KaggleExperience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inferenceExcellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don’t always work on our data so you will need ...

Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits Competitive salary and equity in a fast‐growing start‐up We serve ...

their relevance to life sciences use cases; Expertise in structured and unstructured life sciences data, including clinical and real‐world datasets; Familiarity with NLP and deep learning techniques applied to biomedical data; Knowledge of Azure, AWS, or GCP and model deployment using MLOps frameworks; Strong Python and SQL programming skills ...

Data Scientist or in a closely related role Expert knowledge of machine learning, AI and statistical methods, applied across domains such as NLP, computer vision, audio, graphs, time-series or tabular data Strong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC) Understanding … Knowledge of ML engineering and MLOps practices (e.g. Docker, MLflow) Experience working in government, defence or other highly regulated environments Proven application of large language models (LLMs) to real-world problems Security Clearance This role requires UK Security Clearance. Applicants must either already hold clearance or be eligible ...

working as a Data Scientist or in a closely related roleExpert knowledge of machine learning, AI and statistical methods, applied across domains such as NLP, computer vision, audio, graphs, time-series or tabular dataStrong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC … BedrockKnowledge of ML engineering and MLOps practices (e.g. Docker, MLflow)Experience working in government, defence or other highly regulated environmentsProven application of large language models (LLMs) to real-world problemsSecurity ClearanceThis role requires UK Security Clearance. Applicants must either already hold clearance or be eligible and willing to undergo ...

tool 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 businessDevelop and deploy machine learning and gen AI solutions to meet enterprise goals … Python is essentialDeep understanding of Agentic AI systems and multi-agent architecturesProficiency 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 ...

implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning where relevant. Translate business and customer needs into clear research questions, experimental plans, technical requirements and measurable … design, model development, evaluation and prototype demonstration. Hands-on experience in at least one advanced AI area such as deep neural networks, computer vision, NLP/LLMs, multimodal AI, self-supervised learning, reinforcement learning, time-series analytics or foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn ...

Head of AI | Manchester (Office Based) | £90,000 + Fantastic Benefits | Reporting to: Chief Executive Officer A genuine once in a career opportunity. We're looking for an exceptional technical leader to own AI strategy ...

research and experimentation through production deployment. Research and train ML models that help investors assess and manage sustainability risks. Design and build real‐time NLP pipelines using large language models. Develop evaluation frameworks and annotation tooling that drives continuous model improvement. Stay current with the latest research in NLP … systems, with exposure to sustainability and responsible investment problems. Practical experience with Machine Learning problems and Large Language Models. Ph.D. in ML, NLP or a relevant field; or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience. Proficiency in software engineering with Python ...

Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical ...

commercially savvy storyteller who can influence senior stakeholders and energise cross-functional teams.Technical Fluency: Full-stack AI fluency across modern AI (agentic systems, NLP/ML), data architecture, and cloud environments.What You’ll Be Doing:Define Croda’s AI strategy and sequence the transformation roadmap across three distinct horizons: Operational ...

worry if you don’t tick every box. We’d still love to hear from you.Nice to haveAny exposure to AI-generated content, NLP outputs, or taxonomy/classification systems.An interest in HR technology, talent management, or how organisations think about skills and roles.Experience defining what “good” looks like ...

worry if you don't tick every box. We'd still love to hear from you. Nice to haveAny exposure to AI-generated content, NLP outputs, or taxonomy/classification systems. An interest in HR technology, talent management, or how organisations think about skills and roles. Experience defining what "good ...

contributing to the next generation of AI‐powered scientific discovery tools. This role is ideal for someone with hands‐on experience in applied AI, NLP, information retrieval, and LLM‐based applications, who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities. Key responsibilities Develop and improve … workflows. Build and iterate on agentic and multi‐step AI workflows using frameworks such as LangGraph and related orchestration tools. Apply modern techniques in NLP, Generative AI, Embeddings and semantic representations, Retrieval‐augmented generation (RAG), AI reasoning and workflow orchestration. Evaluate emerging AI models, tools, and frameworks and contribute recommendations ...

contributing to the next generation of AI-powered scientific discovery tools. This role is ideal for someone with hands-on experience in applied AI, NLP, information retrieval, and LLM-based applications , who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities. Key responsibilities Applied AI & Research … projects from research and experimentation through production deployment. Required qualifications Batchelor's, Master’s or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field Experience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related field Hands-on experience with ...

methods Understanding and Management of Machine Learning and associated technologies and methods Understanding and Management of General AI techniques, data analytics (e.g. predictive), NLP etc. Lead (direction) and manage the end-to-end lifecycle for development and deployment of advanced AI, and specifically: The management of people, process, documentation associated … Neural Networks) and Unsupervised (KMeans, Gaussian Mixtures) and the entire end to end ML pipeline. Certification in DevOps, Agile, AWS, Azure. Experience of managing NLP problems such as Text Classification, PII detection, Sentiment Analysis, Text Summarization, Information Retrieval. Experience of managing NLP techniques such as N-grams, word embeddings ...