226 to 250 of 325 Natural Language Processing Jobs

for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real … working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science/Operations Research/Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce More ❯

will be the opportunity to build and mentor your own team as the function grows. You will work closely with business units to implement technologies such as machine learning, NLP, computer vision, OCR/IDP, and algorithmic automation, increasing efficiency, accuracy, and agility across the business. The ideal candidate will have strong analytics and automation experience, preferably in insurance, with More ❯

features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning … financial instruments in all asset classes, and delivers clarity when our clients need it most. The advent of large language models (LLMs) presents new opportunities for expanding our NLP capabilities in our products. As a Senior LLM Engineer in the AI Department, you will have the opportunity to make key technical decisions which help define the future of infrastructure … initiatives related to LLM research and development Work with specialized hardware for tensor computations You'll need to have: 4+ years of programming experience with an object-oriented programming language A degree in Computer Science, Engineering or similar field of study or equivalent work experience Experience in designing, developing, and supporting ML applications Understanding of ML model architectures, specifically More ❯

a Bachelor's degree or equivalent experience. Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Preferred Qualification: MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) Proficiency in SQL, Python and relevant ML frameworks, packages … Company: 0603 PayPal Europe Services Limited Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Ireland , Machine Learning , NLP More ❯

training for performance and cost efficiency. Incorporate recent trends like instruction tuning, RLHF, or LoRA fine-tuning for domain customization. Embed domain-specific ontologies, taxonomies, and style guides into NLP workflows to adapt models to unique business contexts. Evaluation and Optimization: Analyze models for quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes. Define and own … Claude, Gemini, Llama, Falcon, Mistral). Model Performance and Optimization: Demonstrated ability to fine-tune and optimize LLMs for quality, latency, sustainability and cost-effective performance. Programming and NLP Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. MLOps and Deployment: Experience with containerization tools (Docker, Kubernetes) and workflow management tools (Azure ML Studio … MLFlow). Cloud and AI Infrastructure: Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and optimization. Document Processing and knowledge extraction tools. Databases: Experience with relational (SQL), NoSQL databases. Data Platforms: Familiarity with platforms like Snowflake or Databricks. WHAT DEFINES US: CURIOSITY, OPTIMISM, AMBITION, EMPATHY Our team at Ramboll Tech is currently on a More ❯

high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of … services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. 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 ML services, Docker, Kubernetes. Exposure More ❯

automation efficiency, and build the evidence base that drives smarter, more impactful decisions across DSIT. As an Associate Data Scientist you will be instrumental in developing and deploying large language model (LLM) applications, design, build and maintain robust cloud hosted data pipelines, and creating interactive dashboards and visual reports to support decision making. Our team has a unique blend … reviews, and general good practice in collaborative development applied data science : strong grounding in statistics and a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series, NLP basics, SQL) experience building end-to-end LLM applications (prompt engineering, data models, API integration, input/output handling). communication skills : able to explain technical work clearly to both More ❯

automation efficiency, and build the evidence base that drives smarter, more impactful decisions across DSIT. As an Associate Data Scientist you will be instrumental in developing and deploying large language model (LLM) applications, design, build and maintain robust cloud hosted data pipelines, and creating interactive dashboards and visual reports to support decision making. Our team has a unique blend … reviews, and general good practice in collaborative development applied data science : strong grounding in statistics and a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series, NLP basics, SQL) experience building end-to-end LLM applications (prompt engineering, data models, API integration, input/output handling). communication skills : able to explain technical work clearly to both More ❯

automation efficiency, and build the evidence base that drives smarter, more impactful decisions across DSIT. As an Associate Data Scientist you will be instrumental in developing and deploying large language model (LLM) applications, design, build and maintain robust cloud hosted data pipelines, and creating interactive dashboards and visual reports to support decision making. Our team has a unique blend … reviews, and general good practice in collaborative development applied data science : strong grounding in statistics and a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series, NLP basics, SQL) experience building end-to-end LLM applications (prompt engineering, data models, API integration, input/output handling). communication skills : able to explain technical work clearly to both More ❯

about and represents an information filtering system that leverages content-based approaches to discriminate between interesting and uninteresting items for a user. Demonstrated experience with the Sponsor's Pre-NLP processing pipeline to remove boilerplate text, portion marks and non-narrative content. NOTE: The team needs a candidate that has proficiencies in Java, Web Services, and Spring Boot. In More ❯

We are a stealth-mode AI startup founded by a team of PhDs with deep expertise in machine learning, NLP, and reinforcement learning. Backed by advisors from top global research institutions, we've built our MVP and are preparing to launch our first enterprise pilot. We're now looking for a Business Co-Founder to join the founding team and More ❯

user centred workflows Workflow/dashboard debugging tools Instrumentation and metrics analysis Usability improvements Fitness/chaos engineering Migration to lambda functions Looking into the use and introduction of NLP and Machine Learning Key Tasks Partner with functional owners to develop solutions that solve business problems or increase the productivity of the technology department. This will include gathering and validating More ❯

reasonable adjustment/acc ommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this c onfidentially, please email loomberg.net (Americas), loomberg.net (Europe, the Middle East and Africa), or loomberg.net (Asia-Pacific More ❯

reasonable adjustment/acc ommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this c onfidentially, please email loomberg.net (Americas), loomberg.net (Europe, the Middle East and Africa), or loomberg.net (Asia-Pacific More ❯

years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry Experience with AI Agent frameworks and patterns Familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling Familiarity with LLM training and efficient finetuning (PEFT, LoRA, Quantization) Experience with … NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace Transformers/Diffusers, OpenAI, LangChain, Semantic Kernel & OpenCV Experience using Cloud solutions (AWS, Azure, etc.) for building and deploying applications Experience in a fast-paced, agile environment managing uncertainty and ambiguity. Proficiency in Python and experience delivering minimum viable products in a large enterprise environment Experience developing libraries More ❯

seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning services including Transformers, Large Language Models (LLMs), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and … Generative AI trends and best practices. Desired Skills Experience with chatbots and conversational AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to Data Science, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯

seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning services including Transformers, Large Language Models (LLMs), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and … Generative AI trends and best practices. Desired Skills Experience with chatbots and conversational AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to Data Science, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯

class leadership team. As Director of AI, you will own the company's AI vision - leading strategy development, technical execution, and operational scaling across Machine Learning, Generative AI, Large language Models and beyond. Your leadership will directly influence product innovation, operational excellence, and commercial success. Role Overview Define and drive the enterprise AI strategy - identifying opportunities for innovation, automation … or a related STEM field. Demonstrated hands-on expertise in building and deploying advanced ML and Generative AI models in production (including RAG Architecture) Deep technical proficiency with LLMs, NLP, Python, SQL, and major AI/ML frameworks (e.g., PyTorch, TensorFlow). Strong understanding of AI engineering fundamentals including DevOps, CI/CD, MLOps, and DevSecOps. Experience building AI governance More ❯

class leadership team. As Director of AI, you will own the company's AI vision - leading strategy development, technical execution, and operational scaling across Machine Learning, Generative AI, Large language Models and beyond. Your leadership will directly influence product innovation, operational excellence, and commercial success. Role Overview Define and drive the enterprise AI strategy - identifying opportunities for innovation, automation … or a related STEM field. Demonstrated hands-on expertise in building and deploying advanced ML and Generative AI models in production (including RAG Architecture) Deep technical proficiency with LLMs, NLP, Python, SQL, and major AI/ML frameworks (e.g., PyTorch, TensorFlow). Strong understanding of AI engineering fundamentals including DevOps, CI/CD, MLOps, and DevSecOps. Experience building AI governance More ❯

Job Description The Data Engineer analyzes complex and unstructured data using advanced data engineering techniques to develop and maintain data and deployment pipelines. This role uses knowledge of data processing, prototyping, and architecture methods to help solve real-world problems. The Data Engineer will work with Data Scientists and internal/external customers to collect and understand diverse types … the creation of new products, services, and insights using predictive models. Write independent source code, validate, and test for model quality improvement. Utilize machine learning, artificial intelligence, classification, regression, NLP, etc. Data analysis using Python, Database Systems (such as SQL), and Azure cloud tools to contribute towards solving data analytics problems. Perform data wrangling and processing from multiple databases More ❯

comprehensive QA strategies for AI-enabled software systems, including testing for model accuracy, bias, drift, and output consistency. Design test cases for APIs or UIs that consume predictions from NLP models, classifiers, or AI assistants. Validate data flows from ingestion pipelines through model inference and response rendering across multiple systems. Partner with data engineers and scientists to verify pre-processing More ❯

and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization. Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions. Represent Bloomberg at industry events, scientific conferences, and within open-source communities. Qualifications Proven practical experience solving real-world problems … using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over More ❯

leadership team. As Associate Director of Artificial Intelligence, you'll drive and execute the company's AI strategy - leading initiatives that harness the power of Machine Learning, Generative AI, NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to … field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines More ❯

leadership team. As Associate Director of Artificial Intelligence, you'll drive and execute the company's AI strategy-leading initiatives that harness the power of Machine Learning, Generative AI, NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to … field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines More ❯

leadership team. As Associate Director of Artificial Intelligence, you'll drive and execute the company's AI strategy-leading initiatives that harness the power of Machine Learning, Generative AI, NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to … field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines More ❯