301 to 325 of 473 Permanent Natural Language Processing Jobs

stakeholders A genuine curiosity about AI and a willingness to explore how it can enhance your day-to-day work Bonus Points Experience with NLP, image classifiers, deep learning, or large language models Experience with experiment design and conducting A/B tests Experience building shared or platform-style ...

with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools A solid grounding in classical ML and statistics, and the judgement to choose … requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Computational Linguistics, Data Mining, Industry, Language Modeling, NLP, United Kingdom #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 ...

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 ...

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 ...

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 ...

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 ...

existing environment and constraints. Develop architecture blueprints covering model development, data pipelines, deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices … related technical roles, with 4–5 years focused on AI/ML Proven success designing and deploying AI solutions in production environments, including GenAI, NLP, and computer vision Strong understanding of the AI solution lifecycle — from business case and requirements gathering to deployment and monitoring Demonstrable client‐facing consulting experience ...

statistics, optimization, and ML theory, with familiarity with deep learning architectures such as transformers, CNNs, and autoencoders Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling for versioning, reproducibility, and observability Experience monitoring, maintaining, and enhancing existing models over an extended period Extensive experience with PyTorch … data technologies; constructing batch and streaming microservices exposed as REST/gRPC endpoints; container orchestration tools such as Kubernetes or Helm; open-source NLP datasets and benchmarks; implementing distributed, multi-threaded, or scalable applications; a track record of developing and deploying business-critical machine learning models #J-18808-Ljbffr ...

AI Product Owner | 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 AI Product Owner to take ownership ...

National Physical Laboratory (NPL) invites applications for an experienced Higher Scientist in its Informatics group, within the Data Science & AI department. You will tackle data engineering challenges, develop semantic technologies and knowledge graphs, and contribute ...

Elsevier seeks a Data Science Leader to define and drive AI and data science strategy across ML, NLP, search, and generative AI, delivering scalable, impactful solutions that advance science. You will guide teams through the full lifecycle from experimentation to production, shape roadmaps, influence senior stakeholders, and align work with ...

Elsevier is seeking a DataOps Engineer to maintain and evolve data and ontology pipelines that power our AI and NLP technology stack. You will collaborate with Ontology and Data Science teams to build high-quality vocabularies and data products, while crafting automation and software solutions to boost efficiency and customer ...

Elsevier seeks a Data Science Leader to define and lead AI and data science strategy across ML, NLP, search, and generative AI. You will guide teams through the full lifecycle from experimentation to production, aligning work to product goals and customer needs, while influencing senior stakeholders and shaping roadmaps. ...

dashboards, and translate collection requirements into repeatable, data-driven workflows. Ideal candidates have 5+ years in data science, strong Python/SQL or R, NLP experience, and a TS/SCI clearance. #J-18808-Ljbffr ...

create governed data assets, reliable pipelines and lakehouse models using Microsoft Fabric and Databricks. You will turn priority data sources into reusable assets, develop NLP and ML models, ensure data quality and provenance, and publish features through Fabric/Databricks APIs or products, #J-18808-Ljbffr ...

ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: Depth in information retrieval, NLP, or applied machine learning beyond what the role requires. Experience with index tiering, sharding, freshness pipelines, or cost-per-query optimisation at scale. Experience with ...

tick every box. We’d still love to hear from you. Nice to have Any 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 for data ...

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 ...

Contribute to responsible AI practices, including bias, fairness, and risk evaluation Generative AI & Applied Research Apply and adapt state‐of‐the‐art techniques in NLP, embeddings, and generative AI to production use cases. Evaluate and integrate emerging technologies into the team’s roadmap. Contribute to knowledge graph and semantic enrichment … knowledge graph and metadata integration strategy, linking research and health data for more context‐aware retrieval. Apply cutting‐edge research in information retrieval, NLP, embeddings, and generative AI to continuously evolve Elsevier’s discovery and evaluation stack. Collaboration & Delivery Work closely with product, engineering, and domain experts to define ...

Contribute to responsible AI practices, including bias, fairness, and risk evaluation Generative AI & Applied Research Apply and adapt state-of-the-art techniques in NLP, embeddings, and generative AI to production use cases. Evaluate and integrate emerging technologies into the team’s roadmap. Contribute to knowledge graph and semantic enrichment … knowledge graph and metadata integration strategy, linking research and health data for more context-aware retrieval. Apply cutting-edge research in information retrieval, NLP, embeddings, and generative AI to continuously evolve Elsevier’s discovery and evaluation stack. Collaboration & Delivery Work closely with product, engineering, and domain experts to define ...

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create real user … maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific content and data ...

across therapeutic areas and development phases — including genomics, proteomics, imaging, and flow cytometry Apply and advance the use of AI/ML, deep learning, NLP, causal ML, and explainable AI across multiple data modalities and clinical development contexts Lead application of rigorous statistical approaches to clinical trial data, including survival … convey complex concepts to diverse audiences Preferred Qualifications Experience with genomics, proteomics, imaging, flow cytometry, or immunobiology datasets from clinical trials Experience with NLP, causal ML, explainable AI, and survival analysis/time-to-event modelling Knowledge of molecular biology and understanding of disease pathways Experience with real-world data ...