1 to 25 of 135 Natural Language Processing Jobs

and enhance risk management effectively and responsibly. As a Summer Associate within the MLCOE, you will apply sophisticated machine learning methods to a diverse range of complex domains, including natural language processing, large language models, speech recognition and understanding, reinforcement learning, and recommendation systems. You will collaborate closely with MLCOE mentors, business experts, and technologists, conducting … knowledge sharing community Develop 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 systems Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions … Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science, or related fields, or equivalent research or industry experience, Expected graduation date of December 2026 through August 2027 Solid background in NLP, large language models, speech recognition and modelling, or personalization/recommendation. Familiarity with state-of-the-art practice in these domains Proficient in Python, and experience with machine learning More ❯

in the AI and Healthcare technology sector Salary up to £130k + Equity Paddington based (4-5 days per week in-office) Tech environment: Python | PyTorch | TensorFlow | scikit-learn | NLP | LLMs | Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE ARE: We're a … product, and domain experts). Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale solutions. Partner with senior leadership to define the AI roadmap and long-term strategy. … independently while collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural Language Processing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to More ❯

in the AI and Healthcare technology sector Salary up to £130k + Equity Paddington based (4-5 days per week in-office) Tech environment: Python | PyTorch | TensorFlow | scikit-learn | NLP | LLMs | Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - 07704 152638 WHO WE ARE: We … product, and domain experts). Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale solutions. Partner with senior leadership to define the AI roadmap and long-term strategy. … independently while collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural Language Processing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to More ❯

that can act as intelligent agents, integrating with company-approved data sources to provide accurate and relevant information to customers. Design and implement natural language processing (NLP) and natural language understanding (NLU) systems to enhance chatbot interactions. Architect scalable and secure solutions for deploying AI models and chatbots in production environments. Collaborate with data scientists … Dialogflow Cloud Natural Language API Cloud Translation API TensorFlow Proven track record of designing and implementing successful chatbot solutions that serve as intelligent agents. Strong understanding of NLP, NLU, and machine learning algorithms. Experience integrating chatbots with various data sources and APIs. Proficiency in programming languages commonly used in AI/ML development (e.g., Python, Java, Go). More ❯

getaway whilst building trust and loyalty in our brand. Your day-to-day: Design, develop, and maintain Dutch conversational flows for chatbots and voice assistants using Google Dialogflow. Craft natural, culturally relevant Dutch dialogue that reflects local communication styles. Conduct user research and testing to ensure effective and engaging Dutch user experiences. Collaborate with product, engineering, marketing, and customer … up-to-date with latest conversational design trends and best practices to innovate whilst also contributing to development of global design standards. Your skillset: Native or near-native Dutch language fluency with strong English language communication skills both written and verbal, understanding Dutch cultural nuances and communication preferences. Proven experience in conversational design and hands-on use of … markets (Polish, French) Knowledge and understanding of the travel sector, including customer behaviour and seasonal trends Experience with other conversational AI platforms or natural language processing (NLP) tools Background in linguistics, psychology, or human-computer interaction Experience with voice user interface (VUI) design Perks of joining us: Company pension contributions at 5%. Individualised training budget for More ❯

oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks … Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI … alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including process modelling, interface design, expression rules, integration objects, and data modelling. Skilled in building end More ❯

frameworks (e.g., TOGAF, Zachman). • Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP). • Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes. • Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud) for building scalable data More ❯

ML and AI to leadership and organizational challenges. Build, test, and deploy predictive and generative models using psychological, behavioral, and organizational data. Apply natural language processing (NLP) and generative AI to analyze unstructured data such as interviews, open-ended surveys, and narrative assessments. Contribute to the development of data-driven tools that enhance leadership development, team performance … such as organizational behavior, leadership, or people analytics. Strong programming skills in Python or R , and hands-on experience with ML frameworks such as TensorFlow or PyTorch. Familiarity with NLP , generative AI , and/or Bayesian modeling . Ability to translate complex data into clear, actionable insights. Excellent communication skills and the ability to collaborate across disciplines. A self-driven … Nice to Have Experience in consulting, leadership advisory, or applied organizational research. Background in psychometrics , survey analytics , or behavioral data analysis . Experience developing and deploying LLM-based or NLP-driven solutions. Interest in contributing to thought leadership at the intersection of AI and behavioral science . Why Join? You'll be part of a forward-thinking team that blends More ❯

or process automation). * Familiarity with AI/ML frameworks or APIs such as OpenAI, Azure Cognitive Services, TensorFlow, or PyTorch. * Understanding of Natural Language Processing (NLP) concepts and their application to user experience or business insights. * Experience leveraging AI tools or SDKs to build or enhance application features such as data classification, forecasting, or recommendations. * Ability More ❯

technologies skills (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing skills (e.g. ETL, ESB, API) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous More ❯

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous More ❯

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous More ❯

Bonus Experience or strong interest in energy markets and trading strategies Understanding of weather forecasting, energy demand patterns, and production modelling Exposure to Natural Language Processing (NLP) or other related fields Benefits Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner for More ❯

Full-time | Permanent Salary: Up to £120k total compensation About Us We're an ambitious technology company using advanced Machine Learning (ML) and Natural Language Processing (NLP) to power next-generation products. Until now, our AI projects have relied on third-party engines deployed via Docker — but it's time to take the next step. We're … happen, we're looking for an AI Infrastructure Lead — someone with the technical depth and vision to architect, implement, and scale an environment capable of supporting multiple ML and NLP initiatives across the business. The Role As our first senior AI hire, you'll take ownership of designing and building the foundation of our AI ecosystem. You'll shape the … training, deploying, and monitoring models. Integrate and manage containerized AI engines (Docker/Kubernetes). Establish best practices for model versioning, data pipelines, and reproducibility. Collaborate with ML and NLP researchers to optimize infrastructure for experimentation. Set up CI/CD pipelines, monitoring tools, and scalable compute infrastructure. Lead future recruitment and mentoring of additional AI engineers. Skills & experience Required More ❯

Full-time | Permanent Salary: Up to £120k total compensation About Us We’re an ambitious technology company using advanced Machine Learning (ML) and Natural Language Processing (NLP) to power next-generation products. Until now, our AI projects have relied on third-party engines deployed via Docker — but it’s time to take the next step. We’re … happen, we’re looking for an AI Infrastructure Lead — someone with the technical depth and vision to architect, implement, and scale an environment capable of supporting multiple ML and NLP initiatives across the business. The Role As our first senior AI hire, you’ll take ownership of designing and building the foundation of our AI ecosystem. You’ll shape the … training, deploying, and monitoring models. Integrate and manage containerized AI engines (Docker/Kubernetes). Establish best practices for model versioning, data pipelines, and reproducibility. Collaborate with ML and NLP researchers to optimize infrastructure for experimentation. Set up CI/CD pipelines, monitoring tools, and scalable compute infrastructure. Lead future recruitment and mentoring of additional AI engineers. Skills & experience Required More ❯

deep knowledge of banking operations alongside an appreciation for regulatory considerations unique to this sector. You possess a thorough understanding of artificial intelligence concepts such as machine learning or NLP without needing direct coding skills-enabling you to communicate effectively with technical experts while focusing on strategic outcomes. Your proven ability in programme management means you can juggle multiple projects … including customer delivery models as well as familiarity with regulatory frameworks governing financial institutions. Conversant in artificial intelligence concepts such as machine learning, natural language processing (NLP), automation technologies including generative AI or agentic AI-without requiring hands-on coding expertise. Extensive experience in programme management encompassing oversight of multiple concurrent workstreams within complex organisations. Exceptional stakeholder More ❯

They are looking for someone who can collaborate closely with a multi-disciplined and distributed work function, utilise machine/deep learning and Natural Language Processing (NLP) to integrate AI solutions into products and services. Key skills and experience required: Hands-on AI and ML Engineering experience Experience developing in Python and it’s relevant ML frameworks More ❯

They are looking for someone who can collaborate closely with a multi-disciplined and distributed work function, utilise machine/deep learning and Natural Language Processing (NLP) to integrate AI solutions into products and services. Key skills and experience required: Hands-on AI and ML Engineering experience Experience developing in Python and it’s relevant ML frameworks More ❯

such as artificial neural networks, deep learning, and reinforcement learning. Demonstrated knowledge and experience using artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition. Demonstrated knowledge and experience with large language models for generative AI and associated concepts More ❯

or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM) • Comfortable working with Python and Jupyter Notebooks • Should have in-depth knowledge and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud … Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/… in conversational system architecture • Extensive knowledge on API's & Integrations, Patterns. • Extensive knowledge of big data technologies • Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master's in computer applications. Process Skills: • General SDLC processes • Understanding of utilizing Agile and Scrum software More ❯

technical background in data science Demonstratable experience developing & delivering data science strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable Current enhanced DV security clearance TO BE CONSIDERED.... Please either … LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENTIST KEY SKILLS: PRINCIPAL DATA SCIENTIST/LEAD DATA SCIENTIST/MACHINE LEARNING/ML/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURAL NETWORKS/CLOUD INFRASTRUCTURE/ More ❯

agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key Skills & Experience: Proven experience as a Data Scientist , ideally in a government or large More ❯

agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key Skills & Experience: Proven experience as a Data Scientist , ideally in a government or large More ❯

KENT STATE UNIVERSITY'S DEPARTMENT OF COMPUTER SCIENCE IS SEEKING APPLICANTS TO FILL A TENURE-TRACK POSITION IN THE BROAD FIELD OF ARTIFICIAL INTELLIGENCE WITH A PARTICULAR FOCUS ON NATURAL LANGUAGE PROCESSING, LARGE LANGUAGE MODELS, LARGE FOUNDATION MODELS, EXPLAINABILITY, FAIRNESS, AND PROMPT ENGINEERING. Additional Basic Function – if applicable: Examples of Duties: Duties/essential functions may More ❯

for spatial data management Experience with AWS and Azure platforms, including AI services (e.g., AWS SageMaker, Azure ML) Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to More ❯