76 to 100 of 1,290 Natural Language Processing Jobs

Description What We're Looking For: We are looking for a passionate Data Scientist specializing in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As a part of this role, you will work with experienced team members and product managers to design, test, and implement machine learning solutions. Through … real-time processing of unstructured data. Collaborate with senior team members to analyze the impact of algorithm changes. Learn and grow under mentorship, gaining exposure to industry-standard NLP tools and techniques. What You'll Bring: Bachelor's Degree in Computer Science or a related field, with 2-4 years working experience OR a Master's Degree in Computer … years working experience. Programming Language: Proficiency in Python. Solid understanding of data structures and algorithms. Proficient in Machine Learning, including understanding Neural Networks and foundational concepts of NLP tasks such as Tokenization, Named Entity Recognition (NER), Sentiment Analysis, Part-of-Speech (POS) Analysis. Experience or coursework in Deep Learning frameworks like TensorFlow or PyTorch. Strong problem-solving skills and 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 … 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. You’ll Need To Have 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 More ❯

technical stakeholders Experience supporting national security or defense data programs Familiarity with data governance, ethics, and secure handling of classified data Knowledge of natural language processing (NLP), time-series analysis, or deep learning Join a mission-driven team advancing government communication capabilities and operational readiness. Apply today and become part of Synertex LLC's legacy of innovation More ❯

our cybersecurity capabilities. Key Responsibilities: · Design, develop, and deploy full-stack AI solutions with a focus on cybersecurity threat detection and response. · Apply AI/ML techniques such as NLP, supervised/unsupervised learning, and generative AI to real-world security data. · Integrate AI models into scalable applications using modern full-stack development tools and frameworks. · Collaborate with cybersecurity teams … experience in a cybersecurity operations or similar function. · Strong knowledge of cybersecurity principles, frameworks, and threat intelligence (e.g., MITRE ATT&CK). · Proficient in AI/ML technologies, including Natural Language Processing, Generative AI, and Machine Learning algorithms. · Experienced in full-stack development with proficiency in Python, C C#, or R. · Familiarity with AI libraries and tools More ❯

numpy, scipy, pandas, scikit-learn, matplotlib etc.) Deep Learning frameworks (TensorFlow, PyTorch, MLX) Popular classification and regression techniques Unsupervised learning & matrix factorisation algorithms Natural Language Processing (NLP) and document processing Generative AI (open and closed source) - LLM, RAG, Fine Tuning Performing model selection and evaluation Knowledge of cloud (AWS/Azure/GCP) Business skills Working More ❯

mining, predictive analytics, and intelligent decision support systems, while also incorporating complementary AI capabilities including voice technologies (IVR, voice-to-text), computer vision (image and video-based diagnostics), and natural language processing where they provide strategic value. Beyond our customer-facing products, you'll drive internal operational excellence by developing AI-powered tools that enhance efficiency across …/ML solutions in enterprise software environments, with a proven track record of launching automation solutions and AI features in complex business contexts Strong understanding of machine learning algorithms, NLP, and LLMs with demonstrated business application expertise Experience developing AI-powered automation systems, intelligent assistants/copilots, RAG systems, voice interfaces, and computer vision applications (image and video processing More ❯

services such as S3, Lambda, and SageMaker Experience with Generative AI Models , including building, fine-tuning, and deploying generative models Deep understanding of Natural Language Processing (NLP) techniques like transformer models, attention mechanisms, tokenization, and embeddings Experience mentoring or leading team members Strong communication skills, with the ability to explain technical concepts clearly to both technical and More ❯

visualization tools, computing platforms, and applications such as: Juptyer, Elasticsearch, DataBricks, Apache Zeppelin, Kibana, and/or Tableau • Experience supporting the development of AI/ML algorithms, such as natural language processing in a production environment • Experience configuring and utilizing data management tools, such as Hadoop, MapReduce, or similar. • Ability to translate complex, technical findings into an More ❯

Build strong partnerships with peers across the organization to support project goals and boarder team needs. Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches. Develop powerful insights using a variety of analytical tools, techniques, and technologies, and deliver results into the business which drive … non-technical people across the organization. Exceptional teamwork skills required to play a key role in cross-functional teams. Ability to collaborate and build trusting relationships with business partners. Natural curiosity to understand the world around you and question as needed. Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces. Ability to apply critical thinking and More ❯

Build strong partnerships with peers across the organization to support project goals and boarder team needs. Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches. Develop powerful insights using a variety of analytical tools, techniques, and technologies, and deliver results into the business which drive … non-technical people across the organization. Exceptional teamwork skills required to play a key role in cross-functional teams. Ability to collaborate and build trusting relationships with business partners. Natural curiosity to understand the world around you and question as needed. Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces. Ability to apply critical thinking and More ❯

of the agency's work. Minimum Qualifications: Proven experience in a data science or AI-related role, preferably within a creative or marketing agency. Deep understanding of machine learning, natural language processing, and other AI techniques. Strong data analysis skills, with experience using tools like SQL, Python, R, and data visualisation platforms. Experience with cloud computing platforms More ❯

projects working alongside high-performing ML, data, and software engineers using agile software development Demonstrable ML proficiency with a deep understanding of how to utilize state-of-the-art NLP and ML techniques Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch Extensive experience with Python and PyTorch Track record of contributing … development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance Familiarity with implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture Experience with graph machine learning (i.e. graph neural networks, graph data … eye for details such as scalability and performance of a potential solution Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python Experience with data manipulation and processing, such as SQL, Cypher or Pandas A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will More ❯

projects working alongside high-performing ML, data, and software engineers using agile software development. Demonstrable ML proficiency with a deep understanding of how to utilize state-of-the-art NLP and ML techniques. Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch. Extensive experience with Python and PyTorch. Track record of contributing … development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance. Familiarity with implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Experience with graph machine learning (i.e. graph neural networks, graph data … eye for details such as scalability and performance of a potential solution. Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python. Experience with data manipulation and processing, such as SQL, Cypher or Pandas. A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will More ❯

Decision Support Capability. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The right candidate will join our Advanced Information … Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making. The candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into our internal BAE Systems … processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams. Candidates will also have the opportunity to mix technical challenges with customer More ❯

talk with your recruiter to learn more. Base pay range $15.00/hr - $20.00/hr We are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational chat bot. We … are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational chat bot. Tasks Key Responsibilities: Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets … Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for More ❯

right Job Reference: bffff30629ec Job Views: 14 Posted: 22.06.2025 Expiry Date: 06.08.2025 col-wide Job Description: We are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational chat bot. Tasks … Key Responsibilities: Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets to meet specific business requirements. Data Integration: Work with data engineers and data scientists to curate, preprocess, and integrate company-specific data into LLMs. Model Evaluation: Design and execute experiments to evaluate model performance, accuracy, and scalability, using metrics relevant to the business. … Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for More ❯

for data products and track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy, and progress to leadership, other … user research methodologies Fluent in English You get bonus points if you have any of the following: Technical background in data science, machine learning, or software development Experience with NLP technologies, information retrieval, or search systems Knowledge of OSINT or PAI methodologies and tools Experience in intelligence, security, or defense sectors Familiarity with cloud platforms (AWS, Azure, or GCP) and … their ML/AI services Experience with large language models and generative AI technologies Background in leading cross-functional teams in a matrix organization Understanding of data privacy regulations and security considerations Experience with data visualization tools and best practices Knowledge of graph databases and network analysis for relationship mapping Experience with international product development and multicultural teams What More ❯

for data products and track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy, and progress to leadership, other … user research methodologies Fluent in English You get bonus points if you have any of the following: Technical background in data science, machine learning, or software development Experience with NLP technologies, information retrieval, or search systems Knowledge of OSINT or PAI methodologies and tools Experience in intelligence, security, or defense sectors Familiarity with cloud platforms (AWS, Azure, or GCP) and … their ML/AI services Experience with large language models and generative AI technologies Background in leading cross-functional teams in a matrix organization Understanding of data privacy regulations and security considerations Experience with data visualization tools and best practices Knowledge of graph databases and network analysis for relationship mapping Experience with international product development and multicultural teams What More ❯

for data products and track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy, and progress to leadership, other … of & experience in user research methodologies You get bonus points if you have any of the following: Technical background in data science, machine learning, or software development Experience with NLP technologies, information retrieval, or search systems Knowledge of OSINT or PAI methodologies and tools Familiarity with cloud platforms (AWS, Azure, or GCP) and their ML/AI services Experience with … large language models and generative AI technologies Background in leading cross-functional teams in a matrix organization Understanding of data privacy regulations and security considerations Experience with data visualization tools and best practices Knowledge of graph databases and network analysis for relationship mapping Experience with international product development and multicultural teams What we offer: The opportunity to join a More ❯

and retrieval-augmented generation (RAG) pipelines. Experience designing and evaluating LLM-powered systems such as chatbots, summarisation tools, content generation workflows, or intelligent data extraction pipelines. Deep understanding of NLP fundamentals: text preprocessing, language modelling, and semantic similarity. Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and More ❯

Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to More ❯

Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to More ❯

Ph.D. or Master's in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms. Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java). More ❯

and joining data using core clauses, use of CTEs, window functions, subqueries, and data cleaning functions to handle more complex analytical queries Implementation of the foundational ML algorithms, classic NLP techniques, LLM in Python applications More ❯

into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and documentation skills Benefits 100% REMOTE Working with a US company, you will gain access to the US Market Provides career More ❯