176 to 200 of 291 Natural Language Processing Jobs

build team is technology‐agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization, and developing and maintaining production‐grade agentic RAG systems that serve … Scikit‐Learn, and Spacy Experience in MLOps platforms: MLFlow, dbt, Docker, Kubernetes Experience with cloud environments such as AWS Technical Concept Requirements Experience in NLP, Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions Experience in AI/ML concepts: Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy ...

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 business Develop and deploy machine learning and gen AI solutions to meet enterprise … essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency 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 ...

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 business Develop and deploy machine learning and gen AI solutions to meet enterprise … essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency 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 ...

functional teams to understand user behavior, run experiments, and solve problems using statistics and causal inference. In this role, you will develop ML/NLP models, design experiments, and translate insights into narratives for executives, influencing product roadmaps. #J-18808-Ljbffr ...

plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client ...

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 ...

pleased to hear from you. KeyWords: Prince2, Project Manager, IT Project Manager, UcaaS, Technical Project Management, SaaS, Cloud, AI, Machine Learning, NLP, Degree Educated ...

Requirements General willingness to travel for company business between our offices, as well as to customer sites Nice to have Publications in computer vision, NLP, or robotics. Experience with drones and flight computers such as PX4. Experience in evaluating and improving system-in-the-loop model performance. Security Requirements Must ...

operating model assessments. Oversee BI, reporting and dashboard transformation programmes. Lead data engineering, data platform or migration workstreams. Shape advanced analytics, machine learning, NLP or GenAI use cases. Lead data quality, governance, metadata or remediation programmes. Lead AI-enabled automation and workflow improvement engagements. Skills and Experience Education and Certifications … quality, reconciliation, lineage and testing. Providing delivery oversight across engineering teams. Data Science, AI and Advanced Analytics Leadership Leading statistical, predictive, machine learning, optimisation, NLP or GenAI use cases. Advising clients on responsible and practical use of AI. Overseeing model design, validation, deployment and monitoring. Applying responsible AI principles (explainability ...

predictive models and build efficient, automated processes for delivering modelling results at scale Apply modern machine learning capabilities — including AI/ML, deep learning, NLP, causal ML, and explainable AI — across multiple data modalities and clinical development contexts Apply statistically rigorous approaches to clinical trial data, including survival analysis, longitudinal … independently and as part of a team 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 ...

plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

within a growing international organisation. Working as part of our innovative AI & Data Team, you'll design and deliver impactful machine learning, NLP and Generative AI solutions using technologies such as Databricks, Microsoft Fabric and Azure AI Services. This is an exciting opportunity for an experienced Data Scientist … model validation Practical experience building Generative AI and LLM-based solutions, including prompt engineering, embeddings, vector databases, RAG, grounding, reranking and evaluation Experience with NLP techniques such as text classification, entity extraction, semantic similarity,summarisationand information retrieval Experience using Databricks, Spark andlakehouseconcepts for large-scale data preparation,experimentationand model development ...

within a growing international organisation. Working as part of our innovative AI & Data Team, you'll design and deliver impactful machine learning, NLP and Generative AI solutions using technologies such as Databricks, Microsoft Fabric and Azure AI Services. This is an exciting opportunity for an experienced Data Scientist … model validation Practical experience building Generative AI and LLM-based solutions, including prompt engineering, embeddings, vector databases, RAG, grounding, reranking and evaluation Experience with NLP techniques such as text classification, entity extraction, semantic similarity,summarisationand information retrieval Experience using Databricks, Spark andlakehouseconcepts for large-scale data preparation,experimentationand model development ...

within a growing international organisation. Working as part of our innovative AI & Data Team, you'll design and deliver impactful machine learning, NLP and Generative AI solutions using technologies such as Databricks, Microsoft Fabric and Azure AI Services. This is an exciting opportunity for an experienced Data Scientist … model validation Practical experience building Generative AI and LLM-based solutions, including prompt engineering, embeddings, vector databases, RAG, grounding, reranking and evaluation Experience with NLP techniques such as text classification, entity extraction, semantic similarity,summarisationand information retrieval Experience using Databricks, Spark andlakehouseconcepts for large-scale data preparation,experimentationand model development ...

week, and involves building trusted AI insights from complex data. You will work with senior leadership to define AI-ready data models, apply NLP and LLMs, and ensure data governance and explainability across solutions. #J-18808-Ljbffr ...

engineering to design and deploy ML services while ensuring compliance with industry regulations. Ideal candidates have extensive experience in ML engineering with knowledge of NLP, Computer Vision, and MLOps tools. The company values diversity and offers equal opportunities for all candidates. #J-18808-Ljbffr ...

DevOps teams, and serve as the main technical liaison for client architecture and stakeholders. Drive Tech Selection: Evaluate and select tooling choices-including NLP/LLM approaches for chatbots and quality frameworks. Govern & Evolve: Lead design governance forums, ensure enterprise architecture alignment, and advise on ontology evolution and versioning strategies. ...

interested in speaking to engineers with experience in areas such as: AI Engineering Full Stack Development Python React LLM Applications Agentic AI NLP Modern Software Engineering You don't need experience across everything. Curiosity, problem-solving ability and a passion for building matter just as much. You'll probably ...

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 ...

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 … Support delivery of projects from research and experimentation through production deployment. Required qualifications 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 ...

statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation 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. Work closely with product, engineering, and domain experts to define and deliver impactful ...

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 ...

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 ...