1 to 25 of 97 Natural Language Processing Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Develop robust Python pipelines for data manipulation using NLP and Foundation Models Apply geospatial libraries and techniques to subsurface geological datasets Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to … related work experience Essential Skills Proficiency in Python, with a strong grasp of Python best practices Experience using Git for version control and collaboration Experience in use of ML, NLP and Foundation Models in ETL pipelines Knowledge of secure coding principles Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL Knowledge of PostgreSQL/PostGIS for spatial data management … agile mindset Self-motivated, detail-oriented, and capable of managing multiple task Desirable Skills Knowledge of geological or subsurface data domains Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Experience with More ❯

strategies Provide data-driven recommendations to improve customer engagement metrics Skills ? Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ? Familiarity More ❯

on AWS, AWS Sagemaker requiredExperience with one or more general purpose programming languages including but not limited to: Python, R, Scala, SparkExperience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition.Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch.Familiarity with GenAI technology stack, including frameworks … GenAI applications, and LLM fine-tuningExperience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications? Experience training and maintaining large language modelsExperience with production-grade development, integration and supportExperience and familiarity presenting to technical and business audiencesWhere permitted by applicable law, must have received or be willing to receive the More ❯

this description we would loveto hear from you. Candidates will have gained the following skills and experience through previous roles: Responsibilities Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models. Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. Leading More ❯

skills with a focus on building production-ready systems. Experience in deploying and monitoring systems within the Defence, Nuclear, or Central Government sectors, or other secure environments. Knowledge of natural language processing, deep learning, and generative AI. Familiarity with tools for working with Large Language Models. Experience in developing and working with tools and interfaces for More ❯

collaborating across teams Tech-curious mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops Familiarity with AI systems, natural language processing tools, or machine learning products Experience using tools like Jira, Confluence, or similar issue tracking and documentation systems 7+ years of experience in client support More ❯

search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical More ❯

Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale More ❯

healthcare; critical infrastructure; and the downstream effects of AI deployment in high-stakes social contexts. Machine Learning for Social Computing : Development of scalable ML methods for social media analysis, natural language processing for content moderation, and large-scale data mining of online behavior. The School of Computing and the Watson College are dedicated to the goal of More ❯

from Windows/Linux servers to Vision Pro clients • Design and optimize network protocols and rendering pipelines for low-latency cloud-to-device streaming • Integrate voice command systems and natural language processing for spatial UI control • Develop spatial input solutions leveraging 6DOF controllers and hand tracking • Troubleshoot and resolve performance bottlenecks in streaming pipelines, GPU encoding, and More ❯