1 to 25 of 341 Natural Language Processing Jobs

Member of Technical Staff | Agentic Workflows | Large Language Models | Natural Language Processing | Machine Learning | Hybrid, London The Opportunity: We are seeking a highly skilled Member of Technical Staff to lead the development of advanced agentic workflows that will transform how scientists interact with our platform. You will design autonomous systems capable of navigating complex scientific tasks … from retrieving structural biology data to designing molecular binders — entirely through natural language conversation. In this role, you will architect and deploy intelligent agents that democratise access to powerful computational biology tools, enabling researchers worldwide to leverage cutting-edge models via intuitive chat interfaces. Who We Are: We are building next-generation generative models that learn the fundamentals … automation and have experience with document processing, OCR, and data extraction from academic sources. You understand the research ecosystem, including academic and pharmaceutical workflows. You have expertise in NLP, particularly for scientific text processing and citation networks. Your Responsibilities: Build autonomous scientific agents capable of executing complex research workflows via natural language interaction — from structural analysis More ❯

Member of Technical Staff | Agentic Workflows | Large Language Models | Natural Language Processing | Machine Learning | Hybrid, London The Opportunity: We are seeking a highly skilled Member of Technical Staff to lead the development of advanced agentic workflows that will transform how scientists interact with our platform. You will design autonomous systems capable of navigating complex scientific tasks … from retrieving structural biology data to designing molecular binders — entirely through natural language conversation. In this role, you will architect and deploy intelligent agents that democratise access to powerful computational biology tools, enabling researchers worldwide to leverage cutting-edge models via intuitive chat interfaces. Who We Are: We are building next-generation generative models that learn the fundamentals … automation and have experience with document processing, OCR, and data extraction from academic sources. You understand the research ecosystem, including academic and pharmaceutical workflows. You have expertise in NLP, particularly for scientific text processing and citation networks. Your Responsibilities: Build autonomous scientific agents capable of executing complex research workflows via natural language interaction — from structural analysis More ❯

Overview Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global … user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation. Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. … junior researchers and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. in More ❯

Vytas Mulevičius is the NLP team lead at Neurotechnology. He motivates his team by listening to their individual needs and believes that working regularly on various projects is key to staying inspired and successful in AI R&D. 1. How did you start your career at Neurotechnology? Neurotechnology was one of about 30 or 40 companies I applied to after … Processing? No, not at all. Initially, I was deeply interested in computer vision algorithms, optimization techniques like quantization and pruning, and efficient training methods. My interest in NLP began when we started pivoting to text analysis with StockGeist around . After that, custom projects and various government tenders followed, which further fueled my passion for NLP. 4. How … understanding of what you truly want in life. Only then can you define meaningful goals to work toward. In my case, the drive comes from creating new technologies in NLP and successfully delivering impactful projects. A big part of what keeps me motivated is my team. 6. What's it like leading a team? What are the most important aspects 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 ❯

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 ❯

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 ❯

AI/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions. This is an exciting opportunity to play … a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI powered chatbot that transforms the way information and insights are delivered. You'll work closely with the client's in house data and engineering teams to design, train, and fine … tune transformer based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer based architectures (e.g., GPT, BERT, T5). Solid More ❯

AI/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions.This is an exciting opportunity to … play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine … tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements: Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid More ❯

platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP More ❯

from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯

from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯

of statistical modelling and machine learning. Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services). Expertise in Natural Language Processing, clustering algorithms, text embeddings, LangChain and LLM deployment. Strong knowledge of data visualisation tools such as Power BI, DAX and Power Query. Experience in data … source toolkits (Desirable). Role and Responsibilities Design and implement data models and pipelines to support advanced analytics and reporting. Apply machine learning, natural language processing (NLP) and AI models to derive meaningful insights from complex datasets. Work closely with Data Engineers, Software Developers and Analysts to build and optimise data workflows. Integrate multiple data sources, ensuring More ❯

Overview AI startup company is looking for bilingual senior data scientist. Working Pattern : Remote Location : Worldwide Language Requirement : Japanese and English fluency As a company for whom AI is the product, it should be no surprise that our Data Science team is at the heart of everything - building innovative products, researching new techniques for using Artificial Intelligence in claims … us is a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, designing and building … You write production-grade, scalable Python code, ensuring that your models are robust, maintainable, and optimised for performance. Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful either Computer Vision or LLM projects into production Strong understanding of software development fundamentals, in particular deploying models to production and More ❯

validation, and monitoring. Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. Experience with cloud computing infrastructure. Experience with Computer Vision, image processing and video analytics. Experience with Natural Language Processing/Natural Language Understanding. Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Experience … and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs). Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases. Ability to work individually, and as part of a team. Advanced verbal, written, interpersonal, and presentation skills to communicate 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 ❯

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 ❯

of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details We are looking for skilled and innovative individuals to join our dynamic team. This role is ideal for those who … drive to tackle complex challenges. Reporting to the Head of AI Lab, you will be primarily responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You'll collaborate closely with experienced engineers and data scientists to address complex challenges, deliver impactful solutions, and adapt … Science, or related field Key Skills and Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or natural language processing (NLP); understanding of large language models (LLM) is a plus Skilled in object-oriented programming using Python. Familiar with PyTorch or other machine learning frameworks Excellent problem-solving skills Strong More ❯

a team. • Excellent communication and interpersonal skills. Preferred Qualifications/Skills • Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate). • Experience with Azure Cognitive Services (e.g., Language, Vision, Speech) or Azure Bot Service. • Familiarity with streaming data processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics). • Experience with CI/CD pipelines … GitHub Actions). • Understanding of distributed computing concepts and big data technologies. • Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP). Why join Genpact? • Lead AI-first transformation – Build and scale AI solutions that redefine industries • Make an impact – Drive change for global enterprises and solve business challenges that matter More ❯

a team. • Excellent communication and interpersonal skills. Preferred Qualifications/Skills • Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate). • Experience with Azure Cognitive Services (e.g., Language, Vision, Speech) or Azure Bot Service. • Familiarity with streaming data processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics). • Experience with CI/CD pipelines … GitHub Actions). • Understanding of distributed computing concepts and big data technologies. • Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP). Why join Genpact? • Lead AI-first transformation – Build and scale AI solutions that redefine industries • Make an impact – Drive change for global enterprises and solve business challenges that matter More ❯

innovative product set to disrupt the insurance market. We are looking for candidates with a proven track record in the design and deployment of LLMs for applications within the NLP space, as well as established experience collaborating with product managers, developers, and fellow data scientists within a product-led SaaS environment. What will you be doing? Working within a dynamic … product challenges. Devising and implementing innovative data analysis and data mining strategies, extracting valuable insights from diverse data sources. Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data. Formulating predictive models to anticipate future trends, enabling informed decision-making. Constructing automated ML workflows and integrating CI/CD practices to … accessibility. Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards. Technical Requirements Applied AI and NLP Expertise: Proven experience in applying AI techniques to solve real-world NLP problems, with a focus on delivering scalable, production-ready solutions. Hands-on expertise in fine-tuning pre-trained More ❯

Aveni Aveni is an award-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. We’re using the latest in AI to automate and innovate, empowering … guide more junior solutions/presales engineers or consultants. Stay up to date with regulatory developments (e.g. Consumer Duty, risk oversight, compliance in financial services), Agentic/AI/NLP/LLM technologies, competitive landscape. Occasionally participate in post-sales support/implementation oversight to ensure smooth handover, maintain continued alignment and client satisfaction. Skills, Experience & Qualification Requirements Must-haves … Good project management and stakeholder management skills: managing cross functional teams, setting expectations, handling ambiguity. Nice-to-haves: Prior experience in using or building AI Agents, generative models and NLP pipelines. Familiarity with tools or frameworks for LLM deployment, prompt engineering, vector databases, embeddings, etc. Experience with integrations (CRM, communications platforms, call recordings, speech-to-text, etc.). Familiarity with More ❯

Aveni is an award-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 drive unprecedented efficiency and oversight. We More ❯