126 to 150 of 1,290 Natural Language Processing Jobs

helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and More ❯

Evaluation: Develop and train generative AI models, ensuring their effectiveness and reliability through rigorous evaluation processes. Collaboration: Collaborate with an elite team, learning and contributing to transitioning from conventional language models to cutting-edge Large Language Models (LLMs) and fine-tuning techniques such as LoRA and QLoRA. Innovation: Stay abreast of the latest advancements in AI and generative … in a collaborative, cross-functional environment. Demonstrated expertise in handling large datasets and extracting actionable insights. A proven track record working with open-source models, Llama, and AI/NLP across various domains. Mastery of NLP and related libraries. An understanding of business operations and a knack for crafting actionable business insights. Benefits: Join a pioneering joint venture at the More ❯

The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in … their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights … Python to write robust, reusable code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines. Experience working with databases and SQL. Experience using Language Models to solve a range of predictive tasks involving text. Ability to quickly acquire new technical skills. Experience of working with large data sets and distributed computing. Good understanding More ❯

the development of intelligent, data-driven solutions across our core products and operations. You'll be at the forefront of our AI strategy, leading initiatives to optimize underwriting, claims processing, risk assessment, and customer personalization using machine learning and advanced analytics. KeyResponsibilities: Lead the end-to-end development and deployment of AI/ML models to support underwriting, fraud … scale a high-performing data science team; provide technical mentorship and guidance. Collaborate with engineering to ensure smooth integration of AI models into production systems. Drive the use of NLP, predictive modeling, and generative AI where applicable to improve operational efficiency and innovation. KeyRequirements: 6+ years of experience in data science, with at least 2 years in a lead or More ❯

of our Corporate and Investment Banking (CIB) business. We are looking for a senior data scientist with expertise in both classical machine learning and the latest advancements in Large Language Models (LLMs) to help shape the future of financial services. Responsibilities Collaborate with product owners and business stakeholders to identify pain points, define use cases, and translate business needs … and regulatory requirements. Work closely with MLOps engineers and the wider Tech and Data teams to deploy production-ready solutions. Stay ahead of industry trends, particularly in Data Science, NLP, and GenAi advancements, and share insights across the team. Ensure data quality and governance standards are maintained across all AI and analytics projects. Support risk and audit management for AI … and ensuring compliance with regulatory frameworks. Skills and Qualifications Skills & Expertise Strong experience in machine learning, deep learning, and statistical analysis. Expertise in Python, with proficiency in ML and NLP libraries such as Scikit-learn, TensorFlow, Faiss, LangChain, Transformers and PyTorch. Experience with big data tools such as Hadoop, Spark, and Hive. Familiarity with CI/CD and MLOps frameworks More ❯

Data Science and realize knowledge transfer Required Skills • Proven experience working with Dataiku for data processing, model deployment and web App creation . • Strong expertise in GenAI techniques , NLP , and conversational data analysis. • Experience handling unstructured text data and applying advanced analytics techniques. • Proficiency in Python, SQL, and ML frameworks • Ability to work collaboratively in Agile organization with non More ❯

platforms such as AWS, Azure, or GCP. ● Experience with Agile development methodologies. ● A strong understanding of ethical considerations in AI/ML. Preferred Qualifications: ○ Experience with deep learning and natural language processing. ○ Experience with MLOps and DevOps practices. ○ Experience with financial regulations and compliance requirements. ○ Degree in Computer Science, Data Science, or a related field. Seniority level Seniority More ❯

/Waterfall understanding. Cloud, ideally Azure and its core AI products (Azure ML, Azure OpenAI, AI Foundry). Modelling: Expertise in at least 2 areas of AI, e.g. forecasting, NLP/NLM, vision. Experience with GenAI, particularly Language Models. Coding: Python for data science (DS). Low/no code approach to DS/AI IDEs & notebooks. Git & GitHub More ❯

AI: Stay abreast of the latest AI trends and Azure services. Evaluate new technologies - from Azure Cognitive Services and Azure OpenAI to emerging open-source frameworks for LLMs (Large Language Models) and RAG (Retrieval-Augmented Generation). Incorporate generative AI capabilities where relevant to enhance client solutions (e.g. intelligent document processing with GPT models). Cross-Project Impact More ❯

AI: Stay abreast of the latest AI trends and Azure services. Evaluate new technologies - from Azure Cognitive Services and Azure OpenAI to emerging open-source frameworks for LLMs (Large Language Models) and RAG (Retrieval-Augmented Generation). Incorporate generative AI capabilities where relevant to enhance client solutions (e.g. intelligent document processing with GPT models). Cross-Project Impact More ❯

AI: Stay abreast of the latest AI trends and Azure services. Evaluate new technologies - from Azure Cognitive Services and Azure OpenAI to emerging open-source frameworks for LLMs (Large Language Models) and RAG (Retrieval-Augmented Generation). Incorporate generative AI capabilities where relevant to enhance client solutions (e.g. intelligent document processing with GPT models). Cross-Project Impact More ❯

AI: Stay abreast of the latest AI trends and Azure services. Evaluate new technologies - from Azure Cognitive Services and Azure OpenAI to emerging open-source frameworks for LLMs (Large Language Models) and RAG (Retrieval-Augmented Generation). Incorporate generative AI capabilities where relevant to enhance client solutions (e.g. intelligent document processing with GPT models). Cross-Project Impact More ❯

AI: Stay abreast of the latest AI trends and Azure services. Evaluate new technologies - from Azure Cognitive Services and Azure OpenAI to emerging open-source frameworks for LLMs (Large Language Models) and RAG (Retrieval-Augmented Generation). Incorporate generative AI capabilities where relevant to enhance client solutions (e.g. intelligent document processing with GPT models). Cross-Project Impact More ❯

data protection and GDPR Understanding of Cybersecurity and common issues Extensive knowledge of using data science and AI techniques such as ML, simulation modelling, causal impact analysis, network analysis, NLP Desirable Knowledge of health technology Knowledge of NHS operations, policies, governance and organisational structures Skills Essential Confidence and skilled in adapting to new software and programming language Skilled in More ❯

the Engineering COO team to design, develop, and implement business analytics solutions using Qlik Sense Enterprise and Qlik Cloud. Design and enhance Qlik Cloud solutions incorporating AI-driven analytics, NLP, and ML-powered insights. Build an AI-ready data infrastructure that is scalable, governed, and designed to support advanced analytics. Ensure data integrity, quality, and effectiveness in all work outputs. … issue logs. Update and improve data models for performance and functionality. Additional programming languages or methodologies that would be an advantage: Experience with Qlik Mashups, AutoML, Insight Advisor, and NLP-driven analytics. Background with BI tools such as Power BI, Tableau, Domo, or Sisense. Web development experience using HTML, CSS, JavaScript, Python. Understanding of data governance, lineage, and observability tools. … to frame business challenges, uncover insights, and deliver data-driven visualizations that influence decision-making and drive outcomes. Understand Qlik Cloud's advanced features including Insight Advisor, AutoML, and NLP dashboards. Be familiar with operational resilience best practices and data observability. Personal attributes: Have strong communication, problem-solving, and troubleshooting skills. Must have strong communication and time management skills Positive More ❯

Kubernetes). Strong problem-solving skills and a passion for driving measurable business impact. Knowledge of marketing measurement techniques like media mix modelling. Exposure to advanced AI techniques (RNNs, NLP, GenAI, CausalAI, etc.). If this role looks of interest, reach out to Joseph Gregory More ❯

Kubernetes). Strong problem-solving skills and a passion for driving measurable business impact. Knowledge of marketing measurement techniques like media mix modelling. Exposure to advanced AI techniques (RNNs, NLP, GenAI, CausalAI, etc.). If this role looks of interest, reach out to Joseph Gregory More ❯

Vertex AI) Proficient in Python and common ML libraries (TensorFlow, PyTorch, Scikit-learn) Familiarity with data engineering workflows and tools (Spark, Airflow, Databricks, etc.) Experience with GenAI, LLMs, or NLP is a strong plus Solid understanding of model governance, compliance, and responsible AI principles Excellent communication skills and stakeholder management abilities Bachelor's or Master's degree in Computer Science More ❯

equity and diversity as part of our daily culture. Your Skills and Experience Proficiency in AI techniques such as supervised and unsupervised machine learning, GenAI, deep learning, graph analytics, NLP, sentiment analysis, etc. Excellent communication skills to present complex work clearly to clients and manage stakeholder relationships. Experience winning work with private and public sector clients, including participating in RFI More ❯

Kubernetes). Strong problem-solving skills and a passion for driving measurable business impact. Knowledge of marketing measurement techniques like media mix modelling. Exposure to advanced AI techniques (RNNs, NLP, GenAI, CausalAI, etc.). If this role looks of interest, reach out to Joseph Gregory Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function More ❯

Qualifications Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages like Python, R, or Java. Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning. Strong understanding of data structures, algorithms, and statistics. Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models. Knowledge of MLOps tools and practices More ❯

Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/ More ❯

Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand form on a day-to-day More ❯

Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand form on a day-to-day More ❯

data science techniques to implement end-to-end data science projects. You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc). You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is More ❯