26 to 50 of 453 Remote Natural Language Processing Jobs

and solutions to complex business problems. This role requires proficiency in the Databricks ecosystem, as well as experience in working with large-scale data processing and cloud environments such as AWS, Azure, or Google Cloud. Responsibilities: Should have at least 5 years of experience as a Data Scientist. Develop … Cloud) to design and implement data pipelines and storage solutions. Design and optimize SQL queries for large-scale data analysis. Utilize Databricks for data processing, analytics, and collaborating with team members to build scalable solutions. Leverage LLM (Large Language Models) for AI-driven projects, improving business processes and … computing frameworks. Solid understanding of machine learning algorithms, data preprocessing, model tuning, and evaluation. Experience in working with LLM (Large Language Models) and NLP (Natural Language Processing) tasks is a plus. Strong analytical and problem-solving skills with the ability to work independently and in a More ❯

policies • Annual performance-based bonus • Budget for personal development and certifications About the Role: Our finance client is seeking a talented Machine Learning Engineer NLP Specialist to join their dynamic AI team. You will play a key role in designing and implementing advanced Natural Language Processing (NLP … complex data challenges in an environment where innovation is encouraged, this role is for you. Key Responsibilities: • Design and implement state-of-the-art NLP models for tasks such as entity extraction, text summarisation, and semantic understanding. • Process and analyse diverse datasets, including structured text, tables, and images, to extract … Explore and implement advanced techniques, such as Retrieval-Augmented Generation (RAG), to enhance AI capabilities. • Conduct experiments to measure and improve the performance of NLP models. • Build custom language models tailored to specific industry requirements. What We're Looking For: • Proven experience with NLP frameworks such as Hugging Face More ❯

policies • Annual performance-based bonus • Budget for personal development and certifications About the Role: Our finance client is seeking a talented Machine Learning Engineer NLP Specialist to join their dynamic AI team. You will play a key role in designing and implementing advanced Natural Language Processing (NLP … complex data challenges in an environment where innovation is encouraged, this role is for you. Key Responsibilities: • Design and implement state-of-the-art NLP models for tasks such as entity extraction, text summarisation, and semantic understanding. • Process and analyse diverse datasets, including structured text, tables, and images, to extract … Explore and implement advanced techniques, such as Retrieval-Augmented Generation (RAG), to enhance AI capabilities. • Conduct experiments to measure and improve the performance of NLP models. • Build custom language models tailored to specific industry requirements. What We're Looking For: • Proven experience with NLP frameworks such as Hugging Face More ❯

skills, with the ability to communicate complex findings effectively. Desirable Skills Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg More ❯

skills, with the ability to communicate complex findings effectively. Desirable Skills Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg More ❯

involved in the entire software development lifecycle, building, testing and delivering high-quality solutions. Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online … solutions into production-grade software and have an understanding of ModelOps and MLOps principles. Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and translate between language and methodologies used both in research and engineering fields. Hands-on experience in other programming language/scripting language and development stack (Java, Rust, Scala, Typescript, etc.). What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment More ❯

involved in the entire software development lifecycle, building, testing and delivering high-quality solutions. Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online … solutions into production-grade software and have an understanding of ModelOps and MLOps principles Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and translate between language and methodologies used both in research and engineering fields Hands-on experience in other programming language/scripting language and development stack (Java, Rust, Scala, Typescript, etc.) What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days More ❯

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to More ❯

SQL and NoSQL databases (e.g., MongoDB, Apache Cassandra, Oracle, mySQL). Experience building or consuming ETL pipelines for structured data preparation. Bonus Skills Advanced NLP & LLM Techniques Hands-on experience with large language models (LLMs) using OpenAI API, RAG, or embedding models. Familiarity with prompt engineering for model fine … Experience working with SysML, MBSE tools, or digital engineering pipelines. Understanding of how to map or extract system design intent from technical documentation using NLP Visualization & Reporting Experience creating interactive dashboards using tools like Tableau Streamlit, or Power BI Responsibilities: Develop and deploy machine learning models that support the automation … curate training datasets using structured and unstructured engineering content, ensuring quality and consistency across iterations Implement and evaluate natural language processing (NLP) techniques, including fine-tuning transformer-based models (e.g., BERT, GPT) to extract relevant system design information Build and maintain scalable ML pipelines, including data ingestion More ❯

outcomes, and provide strategic insights to leadership. • Apply data science techniques such as regression analysis, clustering, classification, and natural language processing (NLP) to large structured and unstructured datasets. • Utilize APIs, data connectors, and custom scripts to automate data extraction, cleaning, and transformation processes from SharePoint lists, databases … foundation in data analytics and data science, including experience with data modeling, data mining, statistical computing, and machine learning methods (e.g., LLMs, neural networks, NLP, clustering, and predictive analytics). • Experience working with large data sets, ETL processes, and data visualization tools such as Power BI, Tableau, or Qlik. • Expertise More ❯

deploy, and maintain RPA solutions using platforms such as UiPath, Automation Anywhere, or Blue Prism. Design and implement machine learning models (classification, regression, clustering, NLP, etc.) tailored to Navy datasets. Collaborate with process owners and Navy personnel to analyze business processes and identify automation opportunities. Integrate RPA bots with existing … Experience supporting DoD or federal government clients. Familiarity with Navy-specific systems, policies, or data environments. Experience with natural language processing (NLP) and advanced analytics tools. Knowledge of cybersecurity compliance frameworks (e.g., RMF, NIST 800-53). UiPath Developer or similar RPA certification. AWS, Azure, or DoD More ❯

field. Minimum of 8 years of experience in facial recognition technology, identity management, image quality, computer vision, or related field. Proficiency in image algorithm processing, testing, and quality evaluation. Knowledge of identity management and biometric systems, vendors, interfaces, and standards. Strong leadership and team management skills, with the ability … recognition, and/or image quality. Experience with artificial intelligence (AI), to include machine learning, neural networks, and natural language processing (NLP), computer vision, or deep reinforcement learning. Experience in project management, including budgeting, scheduling, and resource allocation. Experience with the software development lifecycle (SDLC) process, SAFe … Agile principles/methodologies, and experience modernizing processes. Experience with image processing, database management, and data manipulation. Experience with cloud vendors, cloud capabilities, and processes. Experience with the Department of State, specifically with Consular Affairs operations and particularly, their VISA and Passport systems and processes. Experience with U.S. and More ❯

TensorFlow, and Keras Collaborate with cross-functional teams to integrate AI models with existing systems Develop and implement natural language processing (NLP) and computer vision models Optimize AI models for performance, scalability, and reliability Stay up-to-date with emerging AI trends and technologies Skills Needed 3+ … years of experience in AI and machine learning development Strong knowledge of AI frameworks (TensorFlow, PyTorch, Keras) Experience with NLP and computer vision models Strong understanding of machine learning algorithms and statistical modeling Experience with cloud-based AI platforms (AWS SageMaker, Google Cloud AI Platform) Excellent problem-solving and communication More ❯

an active TS/SCI with polygraph security clearance. Experience with machine learning methods, techniques and algorithms for natural language processing (NLP), computer vision (CV), and deep learning/deep neural networks. Experience in handling imperfection in data. Experience with statistical programming languages such as R, SQL More ❯

visit About the Role: As a Forward Deployed Engineer (FDE) at Primer, you'll grow your software engineering skills along with our AI and NLP technologies to help national security organizations solve some of their toughest challenges. As a technical team-member who understands customer needs and expectations, success in … technical representative of Primer to our customers Bonus Points: Full-stack web and backend development skills Experience with natural language processing (NLP) Direct experience with the secure, privileged regions of AWS or Microsoft Azure Familiarity with identity management solutions for authentication and authorization Any offer of employment More ❯

business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology More ❯

Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯

Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯

Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯

Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯

Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯

related requirements. Candidate can be located in the Annapolis Junction, MD area. The Engineering Team at Lilt Lilt is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide … strong preference for building our own backend technology, so you'll be implementing and working with the latest natural language processing (NLP) techniques and ideas. What You'll Do Lilt is seeking a world-class devops engineer to build highly reliable software systems at Lilt. Your job … other security-related requirements. - Minimum 3 years experience as Linux System Administrator, DevOps Engineer or similar position. - Strong knowledge of at least one scripting language (e.g. Python, Bash). - High proficiency with at least one configuration management/infrastructure as code (IaC) tool, preferably Terraform. - Experience with GCP services More ❯

next home. We aim to redefine the home shopping and transaction experience by providing a proactive, always- on assistant with cutting-edge speech recognition, natural language understanding, and dynamic dialogue orchestration. By embedding domain knowledge and specialized expertise in these assistants, we empower home buyers and real estate … prototyping ideas, collaborating with product partners, and evaluating, and deploying models to Zillow's highly scalable infrastructure platforms. They'll be developing perception and language understanding, deep reasoning, and reinforcement learning to handle AI agent decision-making. As a Principal Machine Learning Engineer on this team, you will: Leverage … or above Experience in Computer Science, Electrical Engineering, or a related field with emphasis on foundational LLM, agentic AI, reinforcement learning, AI planning, or natural language processing 7+ years of hands-on work building high-impact solutions-ideally building agent-based systems, multi-agent collaboration, or similar More ❯

highly skilled RPA Developer to support the Department of Veterans Affairs (VA) in delivering anAutomation Services Platform. This platform will streamline and automate the processing of Veterans benefits across multiple business lines within the Veterans Benefits Administration (VBA), as well as other VA entities (e.g., VHA, NCA, BVA) and … the existing Mail Automation Services (MAS) and Additional Presumptive Capacity Automation Services (APCAS Responsibilities: Support the design, development, and deployment of automation workflows for processing Veterans benefits. Collaborate with stakeholders to elicit, document, and refine automation requirements. Ensure the platform integrates seamlessly with VA and third-party systems through … Familiarity with emerging technologies including: Optical and Intelligent Character Recognition (OCR/ICR) Artificial Intelligence (AI) & Machine Learning Natural Language Processing (NLP) Robotic Process Automation (RPA) Application Programming Interfaces (APIs) Neural Networks Medical Annotation Experience managing and exchanging structured and unstructured data (e.g., images, voice, text Preferred More ❯

actions). Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles). Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of More ❯