1 to 25 of 333 Natural Language Processing Jobs

s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including … our knowledge sharing communityDevelop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systemsCollaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into … discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methodsExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy More ❯

ability to obtain a Public Trust clearance to be considered. As required by our governmental client, this position requires being a US Citizen. The Clinical Terminologist will focus on natural language processing, vocabularies, and decision support within HITSS/RPMS terminologies. Responsibilities include extending and enhancing IHS terminologies, collaborating with federal leads, software engineers, clinical specialists, and … and others. Proven record of accomplishment of successfully managing terminology services projects. Knowledge of relevant healthcare regulations, including HIPAA and standards compliance.Develop and maintain HITSS/RPMS terminologies for natural language processing and decision support. Evaluate, plan, and execute improvements to enhance the scope … and quality of IHS terminologies. Collaborate with federal leads, software engineers, clinical specialists, and product analysts. Identify appropriate terminology standards and map customer terminologies to these standards. Work with NLP experts and engineers to develop information extraction methods. Collaborate with decision support experts to create clinical decision support methods. Address customer, engineer, and business owner requests for terminology additions. Review More ❯

Senior NLP Research Engineer - Artificial Intelligence Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and 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 … of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior NLP Engineers with a strong expertise and passion for Natural Language Processing research and applications to join our team. Natural Language Processing (NLP) methods are … answering or sentence representations. You'll have the opportunity to: Collaborate with colleagues on production systems and write, test, and maintain production quality code Design, train, experiment, and evaluate NLP models, algorithms and solutions Demonstrate technical leadership by owning cross-team projects Stay current with the latest research in NLP and incorporate new findings into our models and methodologies Represent More ❯

analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language. • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to support and automate entity recognition and extraction, summarization, in accordance with analytic tradecraft standards, to enhance advanced analytic integration … Review and edit translated documentation to ensure accuracy, completeness, and adherence to tradecraft standards. • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability with existing knowledge modeling and knowledge graph … processes, access and integrate disparate data sets, and maintain internal tools for analytic production. • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to support and automate entity recognition and extraction, summarization, in accordance with analytic tradecraft standards, to enhance advanced analytic integration More ❯

research teams prototyping and developing AI/ML algorithms. You will support the development of AI/ML algorithms in a multitude of disciplines including object detection/classification, natural language processing, reinforcement learning, and large language models. You will be joining our team of AI/ML engineers and researchers to apply cutting-edge AI … Machine Learning, Computer Science, Mathematics, or related fields Experience leading an interdisciplinary team of researchers and software developers Experience with any of the following AI/ML domains: Large Language Models … and experience identifying ways to incorporate them into new areas and applications Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision Object detection algorithms such as YOLO and Faster-RCNN Natural Language Processing algorithms such as BERT Generative Adversarial Networks and Variational Autoencoders Reinforcement More ❯

Sensory and Machine Learning Builder Services Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading speech and language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the … best-possible experience for our customers. As a Speech and Language Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. We are hiring in the area of speech recognition (ASR). BASIC QUALIFICATIONS MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning More ❯

tools, such as TensorFlow, PyTorch, or similar technologies • Artificial Intelligence (AI) and Machine Learning (ML) technologies, including various algorithms, neural networks, deep learning, natural language processing (NLP) etc • Legal and regulatory requirements applicable to the financial services industry, such as GDPR, Data Sharing, CCPA, or specific financial regulations • Relationship Management • Stakeholder Management Behavioural Skills: • Analytical • Business partnering … Customer Orientated • Outcome Orientated • Problem Solver • Team management Cognitive Skills: • Divided attention • Auditory processing • Critical thinking • Collaboration This role is based in London on a hybrid basis. Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender … Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , Natural Language Processing , Neural Networks , NLP , United Kingdom More ❯

extract insights from complex, high-volume datasets offering expertise in AI/ML, Large Language Models (LLM), Generative AL, and/or Natural Language Processing (NLP) Apply statistical and deep learning techniques to support predictive modeling, classification, natural language processing, and pattern recognition Collaborate with analysts, engineers, and mission partners to understand requirements … s or advanced degree (or equivalent experience) in AI/ML, Data Science, Math, or related technical field. 8+ years of experience in data science, AI/ML, large language models (LLMs), and emerging technologies, including solution architecture, model development, and deployment in complex environments. Proficient in Python, R, and/or Java for machine learning, data processing More ❯

extract insights from complex, high-volume datasets offering expertise in AI/ML, Large Language Models (LLM), Generative AL, and/or Natural Language Processing (NLP) Apply statistical and deep learning techniques to support predictive modeling, classification, natural language processing, and pattern recognition Collaborate with analysts, engineers, and mission partners to understand requirements … s or advanced degree (or equivalent experience) in AI/ML, Data Science, Math, or related technical field. 8+ years of experience in data science, AI/ML, large language models (LLMs), and emerging technologies, including solution architecture, model development, and deployment in complex environments. Proficient in Python, R, and/or Java for machine learning, data processing More ❯

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a … conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions … wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science More ❯

the future of AI-driven customer experience and thrive on variety, this is the place for you. Day to day, you will: • Develop agent-based systems that use large language models and other AI models to automate complex workflows, such as conversation quality monitoring, customer support, or document processing. • Run experiments to test new agent capabilities, fine-tune models … people to innovate, explore possibilities and grow with purpose. What you'll need: • Experience working with AI agent including prompt engineering and tool definition/selection to build Large Language Model (LLM)-based applications. • Degree qualified in a relevant … field or equivalent work experience. • Experience in leading a small team and managing projects. • Have industry experience as a data scientist, working with Natural Language Processing (NLP)/Machine Learning (ML)/GenAI models, and having extensive production experience in Python. • Advanced experience in applying deep learning, machine learning, analytical techniques, data processing, clustering, regression, and More ❯

modeling to support organizational transformation, performance measurement, and process improvement initiatives. Design and implement simulations, machine learning models, and artificial intelligence solutions. Apply Natural Language Processing (NLP) techniques including keyword extraction and sentiment analysis. Use statistical and data mining techniques such as regression, clustering, boosting, and decision trees to generate insights. Develop dashboards, reports, and visualizations using … in predictive modeling, simulation, artificial intelligence, and machine learning. Experience and expertise in statistical and data mining techniques such as Regression, Boosting, Clustering, Trees, etc. Must have experience in Natural Language Processing (keyword extraction and sentiment analysis), algorithm design. Mandatory proficiency in analytics programming language such as SAS , Python , R , and Scala . Visualization skills such More ❯

and shares jointly in team responsibility for development of advanced analytic techniques and assessments. • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability with existing knowledge modeling and knowledge graph … and processes to investigate, prototype, and evaluate technologies to improve all-source intelligence analysis. • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to support and automate entity recognition and extraction, summarization, in accordance with analytic tradecraft standards, to enhance advanced analytic integration More ❯

our team to gain hands-on experience with cutting-edge data science technologies to transform complex data into actionable insights. This internship focuses on skills in AI/ML, natural language processing, knowledge graphs, and advanced analytics - preparing you for high-demand civilian roles in … data-driven industries. The SkillBridge Data Science & Advanced Analytics Intern shall possess the following capabilities: Training Areas: Artificial Intelligence & Machine Learning model development. Natural Language Processing (NLP) and semantic data structures. Knowledge Graphs, Ontologies, and Data Fabrics. Data transformation, cleaning, and visualization. What You'll Learn: Designing and deploying machine learning models. Structuring and connecting large datasets More ❯

CBP customer. Develop, train, and deploy advanced AI/ML and Gen-AI models. Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models. Optimize model performance, ensuring accuracy, efficiency, and scalability. Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual … Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically. Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs). Strong proficiency in programming languages such as Python, R, Java and C/C++ (optional) Experience with machine learning and generative AI frameworks. Experience with natural … architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems. Proficiency in ML Modeling - Scikit-Learn, Tensorflow, Keras, Pytorch. Proficiency in NLP Tools SpaCy, ThinC, Gensim. Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok. General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep More ❯

Technical Product Manager, NLP Services - CTO Office Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure … are passionate about what we do. What's In It For You Bloomberg is looking for a Technical Product Manager to shape and execute the vision, and roadmap for NLP services, which include semantic parsing, entity recognition and linking, AI guardrails, and other NLP models and services tuned and optimized for financial applications. As a Technical Product Manager, you will … highly motivated product managers that work on a range of adjacent projects in AI. We'll trust you to Develop a long-term vision and roadmap for Bloomberg's NLP services, which include semantic parsing, entity recognition and linking, AI guardrails, and other NLP models and services powered by state of the art AI and tuned and optimized for financial More ❯

sector. In this role, you'll help architect and deploy cutting-edge, AI-driven mission systems for government clients . You'll work with high-throughput platforms capable of processing billions of data points, contributing to secure, distributed infrastructures and advanced machine learning pipelines that power real-world impact. This role is over 50% Hybrid , with offices in San … the Machine Learning Engineer: Active U.S. Security clearance (Secret, Top Secret, TS/SCI, can hold FS POLY) Extensive background with computer vision, deep learning, deep reinforcement learning, and natural language processing in a production environment Strong background with algorithms, data structures and object oriented programming High level programming in Python , along with experience in TensorFlow or … PyTorch Experience deploying machine learning models in cloud environments (preferably AWS or GCP) Experience with generative AI models, agentic systems, and large language models Familiar with agentic model design and ML evaluation frameworks Degree in Computer Science, Machine Learning, or Artificial Intelligence is a plus Compensation and Benefits: $170,000 - $230,000+ Dependent on experience Comprehensive Benefits: Medical, Dental More ❯

unstructured multimodal information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing and machine learning, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and … experience in CS, CE, ML or related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models … for business application Experience with natural language processing and/or processing of multi-modal data (e.g. images) Preferred Qualifications Experience using Unix/Linux Experience in professional software development Experience with training and evaluating LLMs Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

in project management and client serving roles Excellent leadership and teaming skills Strong organizational and time-management skills Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn A willingness and ability to travel to meet client needs; travel is estimated at 60% Valid passport AI Specific Ability to understand business challenges … working with structured and unstructured data sets, building out predictive models, and advising our clients on leading practices. Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, RNNs, CNNs, etc.) as appropriate. Designing, architecting, and developing solutions leveraging big data technology (Hadoop, Cassandra, Spark, Neo4j) to ingest, process, and analyze large, disparate … Leveraging in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements. A thorough understanding of the Python programming language and associated machine learning libraries/packages (sklearn, TensorFlow, PyTorch, statsmodels, etc.). Experience in multiple tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop More ❯

PyTorch, Keras, Tensorflow Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing Demonstrated experience in Agile software development teams using scrum techniques More ❯

analysis Experience working in the IC using multi-INT data sources for analysis Experience developing and deploying generative AI tools Knowledge of Machine Learning, Artifi cia l Intelligence, or Natural Language Processing Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree in a technology field Nice If You Have: 2+ years of … SQL, HTML, and JavaScript Experience analyzing geospatially enabled data and deploying AI tools into operational sof tware Experience with LLM integration, RAG development, AI agent development, prompt engineering, or natural language processing Knowledge of GEOINT collection and asso cia ted systems Ability to learn new technologies and adapt to dynamic mission needs TS/SCI clearance with More ❯

code includes parsers, query parsers, publisher, consistency check, APIs, monitoring utilities, and XSLT transforms. The candidate will work with state-of-the-art technologies including Solr/SolrCloud, Lucene, Natural Language Processing, Machine Learning, Linux, Groovy, Python, Splunk, Prometheus, Grafana, DevSecOps, Jenkins, Maven, GitLab, Nexus, Ansible, TDD, BDD, JMeter, and other open-source frameworks. Skills qualifications: 7+ … and structured content using core Java, regular expressions and NLP. XML skills including JAXP parsing and XSLT/XPath transforms for indexing. Experience using a templating engine and dynamic language to decorate search results and extend Java API (for example, Groovy, Scala or Python). Monitoring experience with Prometheus and Grafana. DevOps experience with Git/GitLab, Jenkins, Maven … written documentation skills. Must be eligible to obtain a Public Trust Preferred qualifications: Docker and Kubernetes for containerized deployments and microservices. Microsoft Azure or AWS. Experience with machine learning, natural language processing, and vector search. Education: A Bachelor's Degree in Computer Science. Benefits: 15 days paid time off per year 11 paid holidays per year Medical More ❯

teams to identify knowledge gaps and develop solutions to address them. Leverage data science, AI, and ML techniques to enhance knowledge management practices, including data analysis, predictive modeling, and natural language processing. Develop and maintain machine learning models to automate knowledge extraction, classification, and retrieval processes. Oversee the creation, organization, and maintenance of knowledge repositories, databases, and content … in knowledge management and tools such as SharePoint, Jira, and Confluence. Understanding of knowledge management principles and best practices. Desired Qualifications Experience with natural language processing (NLP) and text analytics. Familiarity with knowledge management systems (e.g., SharePoint, Confluence, and Jira). Certification in knowledge management or related areas. Strong analytical and problem-solving abilities. Effective communication and More ❯

expertise and passion for Large Language Modeling research and applications to join our team. The advent of large language models (LLMs) presents new opportunities for expanding our NLP capabilities with new products. This would allow our clients to ask complex questions in natural language and receive insights extracted across our vast number of Bloomberg APIs or … applications Write, test, and maintain production quality code Train, tune, evaluate and continuously improve LLMs using large amounts of high-quality data to develop state-of-the-art financial NLP models Demonstrate technical leadership by owning cross-team projects Stay current with the latest research in AI, NLP and LLMs and incorporate new findings into our models and methodologies Represent … ll need to have: Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience Experience with Large Language Model training and More ❯

Anywhere, and Power Automate. Ensuring all solutions are rigorously tested for functionality, technical standards, and accessibility (Section 508 compliance). Apply skills with Natural Language Processing (NLP), Large Language Models (LLMs) like Llama 3, Mistral, or Gemma 2, and vector databases (ChromaDB, Pinecone, or Qdrant) to develop cutting-edge solutions. Utilize Retrieval-Augmented Generation (RAG) frameworks … in information security and the ability to implement secure AI systems. Experience in process automation and leveraging AI/ML technologies to solve business challenges. Experience Deep Learning and NLP, including a strong understanding of LLMs and RAG frameworks. Hands-on experience with vector databases and cloud/container orchestration tools like Docker and Kubernetes. Experience with regulatory compliance standards More ❯