1 to 25 of 128 Natural Language Processing Jobs in the South East

Parexel, driving AI education and providing expert guidance to other parts of the business. Key Accountabilities: ML and Natural Language Processing (NLP) Technology: • Leverage proprietary technology stack to build custom machine learning models • Design, implement, and document new ML/NLP modeling techniques and strategies • Develop Back … end/server-side software to support AI solution development and serving • Build internal frameworks, libraries, and infrastructure to improve machine learning and NLP capabilities to allow for rapid prototyping and new product delivery • Review and adapt recent research in ML and NLP into prototypes and production solutions • Review and … POCs and Experimentation: • Understand business needs and user workflows and interpret in the context of potential AI solutions • Develop custom models and AI/NLP solutions to address business needs • Lead experiment and evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled More ❯

art prompt engineering techniques - to support the construction of state-of-the-art AI models. The role involves developing, fine-tuning, and optimising large language models (LLMs) for corporate use cases, such as querying structured data or automating analytics workflows. Designing and refining prompts to improve LLM performance in … structured data querying and other business-specific applications. Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics. Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability. Evaluating LLM performance, optimising hyperparameters … Machine Learning Understanding of machine learning algorithms (classification, regression, clustering) and their practical applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks More ❯

art prompt engineering techniques - to support the construction of state-of-the-art AI models. The role involves developing, fine-tuning, and optimising large language models (LLMs) for corporate use cases, such as querying structured data or automating analytics workflows. Designing and refining prompts to improve LLM performance in … structured data querying and other business-specific applications. Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics. Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability. Evaluating LLM performance, optimising hyperparameters … Machine Learning Understanding of machine learning algorithms (classification, regression, clustering) and their practical applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks More ❯

to solve complex business problems in the healthcare sector. The ideal candidate will have a strong understanding of AI principles, machine learning algorithms, and natural language processing. Responsibilities: Develop and implement AI solutions to meet business needs Work with data scientists to gather and analyze data Train and … evaluate machine learning models Design and develop natural language processing systems Integrate AI solutions with existing systems Monitor and maintain AI systems Stay up-to-date on the latest AI trends and technologies Job details: Full-time, completely remote 1 year contract, with possibility for extension Compensation … computer science, artificial intelligence, or a related field 5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Fluent in English More ❯

adhered to, enabling traceability and evidence for the direction taken. About you We need somebody with: Expertise experience using at least one modern programming language: Python or Node.js The ability to understand complex problems, providing root cause analysis, and identifying options for resolution, that meet industry standards and best … practice Good skills in Agile and DevOps processes, techniques, and modern toolsets, within the AWS cloud Good understanding of ChatBots or other Natural Language Processing solutions AWS Certification and/or existing knowledge of AWS Connect, LivePerson or Natural Language Processing solutions Knowledge of … and saying what we think – we’re honest and direct with good intent, openly sharing diverse perspectives to reach the best conclusions and using language everyone can understand Push for better - We don’t settle for mediocrity, we challenge the status quo, taking responsibility for continuous improvement and personal More ❯

language models (LLMs) and traditional machine learning algorithms . The ideal candidate will have expertise in AI, natural language processing (NLP), and Python programming , with hands-on experience in generative AI, cloud deployment, and CI/CD pipelines . This role requires proficiency in Streamlit , knowledge … Azure cloud services . Key Responsibilities AI & Machine Learning Development: Design, implement, and optimize AI-powered document generation systems using LLMs and ML models. NLP & Data Processing: Develop NLP-driven applications for text generation, summarization, and extraction. Cloud Deployment & Infrastructure: Deploy AI models and applications on Azure , ensuring scalability … deployment. Collaboration & Best Practices: Work closely with cross-functional teams to integrate AI solutions into business workflows. Required Qualifications & Skills Strong experience in AI, NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM fine More ❯

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 5+ years of experience as a Data Scientist. Develop and implement … 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 ❯

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 ❯

validate analytical models using leading AI/ML techniques, including supervised and unsupervised learning, deep learning, GenAI and natural language processing (NLP) Evaluate and integrate new data sources, emerging tools, and sophisticated analytics methodologies to transform the organization's capabilities Design interactive dashboards and data applications to More ❯

The Application Developers possess expertise in various robotic process automation (RPA) tools. This expertise includes native chatbot support, natural language processing (NLP), optical character recognition (OCR), native Citrix automation, document processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features More ❯

The Application Developers possess expertise in various robotic process automation (RPA) tools. This expertise includes native chatbot support, natural language processing (NLP), optical character recognition (OCR), native Citrix automation, document processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features More ❯

analysis. Key Responsibilities: Design, develop, and deploy DocAI models using Vertex AI and Gemini LLM for extracting data and retrieving insights Migrate existing document processing solutions from legacy systems to the Vertex AI platform. Optimize DocAI models for accuracy, performance, and scalability. Collaborate with subject matter experts (SMEs) to … and integrate DocAI solutions into existing workflows. Stay up to date on the latest advancements in DocAI and Natural Language Processing (NLP). Required Skills: Strong proficiency in Python programming. Experience in designing and deploying AI models using Vertex AI and Gemini LLM. Ability to optimize models More ❯

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 … 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 … 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 More ❯

stakeholders while maintaining flexibility. What makes this opportunity distinctive: The work involves deploying models into live financial environments rather than experimental prototypes, with systems processing millions of transactions weekly The organisational structure is deliberately flat, enabling engineers to contribute ideas directly to technical leadership without bureaucratic barriers Career progression … models using Python frameworks such as TensorFlow or PyTorch Practical knowledge of generative AI tooling including Hugging Face transformers and LangChain orchestration Specialisation in natural language processing and large language models, covering training methodologies, deployment strategies and optimisation techniques Familiarity with containerisation and orchestration technologies including More ❯

based solutions to deploy scalable AI systems. Key Responsibilities: Develop and implement AI and machine learning solutions to address business challenges. Utilize expertise in Natural Language Processing, Computer Vision, and advanced analytics to create AI-driven applications. Stay up to date with emerging AI trends, ensuring the More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll get hands-on experience across a range of AI applications that are … Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in More ❯

which enables searching through half a million pages documenting climate action, by government, worldwide. Harnessing data science and AI, and pioneering the application of natural language processing to this domain, our work unlocks previously inaccessible, unstructured data. This serves to enhance accountability, and promote data democratisation, transforming More ❯

to strategic project planning and execution phases, ensuring technical initiatives align with business goals. Research cutting-edge developments in artificial intelligence, machine learning, and natural language processing to enhance … service offerings. Design solutions adhering to performance, resilience, security, and governance requirements per established architectural frameworks. Monitor technological advancements in AI/ML and NLP sectors to evaluate implementation opportunities and maintain industry leadership. Your profile: Minimum 5 years infrastructure experience, including 3+ years DevOps expertise specifically with Microsoft Azure. More ❯

Utilize consultancy skills in stakeholder management and business development. Projects we've recently worked on: Horizon scanning applications with graph databases, big datasets, and natural language processing in AWS. Simulations of distributed autonomous systems architectures using Python, Kafka, and Azure. Data processing applications for critical infrastructure … using ASP.NET, Entity Framework, Postgres, and C#. Requirements: Significant experience with AWS cloud solutions. Proficiency in at least one object-oriented language (Python or C#). Experience with containerization. Strong interpersonal and consultancy skills. Ability to present complex topics clearly. Preferred Qualifications: AWS certifications. Experience with Azure DevOps or More ❯

use of associated tools and applications to complete these tasks. Ability to travel to client site, where required, will be a consideration. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native … or custom programming. Knowledge of data mining, machine learning, natural language processing is an advantage. You enjoy working within cross-functional Agile teams and you are familiar with Scrum ceremonies. Youll be comfortable designing and building for the AWS cloud and will have designed and worked on More ❯

use of associated tools and applications to complete these tasks. Ability to travel to client site, where required, will be a consideration. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native … or custom programming. Knowledge of data mining, machine learning, natural language processing is an advantage. You enjoy working within cross-functional Agile teams and you are familiar with Scrum ceremonies. Youll be comfortable designing and building for the AWS cloud and will have designed and worked on More ❯