1 to 25 of 39 Remote Natural Language Processing Jobs in the South East

login/join with: Allianz have an exciting opportunity for a Senior Data Scientist to join the team in Guildford on a hybrid basis. As a Senior Data Scientist - NLP at Allianz Commercial, you will work closely with our team of data scientists, data engineers, ML engineers and analysts in designing and implementing solutions that extract insights from unstructured text … topic modelling and entity recognition to text generation and conversational AI. This role requires strong technical skills, a solid foundation in machine learning, and a passion for solving complex NLP problems. Salary Information Pay: Circa £75,000 per year. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward … package. About You Research, design, and develop solutions using NLP models and algorithms to extract insights from unstructured text data. Collaborate closely with data engineers to pre-process and clean text data, ensuring data quality and compatibility with NLP models. Apply machine learning and deep learning techniques to tasks such as sentiment analysis, text classification, entity recognition, named entity recognition More ❯

Join to apply for the Senior Data Scientist - NLP role at Allianz UK Join to apply for the Senior Data Scientist - NLP role at Allianz UK Get AI-powered advice on this job and more exclusive features. Allianz have an exciting opportunity for a Senior Data Scientist to join the team in Guildford on a hybrid basis. As a Senior … Data Scientist - NLP at Allianz Commercial, you will work closely with our team of data scientists, data engineers, ML engineers and analysts in designing and implementing solutions that extract insights from unstructured text data. You will have the opportunity to work on diverse projects, ranging from topic modelling and entity recognition to text generation and conversational AI. This role requires … strong technical skills, a solid foundation in machine learning, and a passion for solving complex NLP problems. Salary Information Pay: Circa £75,000 per year. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package. About You Research, design, and develop solutions using NLP models and algorithms to More ❯

Technical Lead to join a pioneering AI start up automating the legal side of property transactions worldwide. Our mission is to leverage the latest in Generative AI and Large Language Models, placing us at the forefront of advanced technology in this field. As a Technical Lead, you’ll guide a talented team of AI engineers and software engineers, own … Engineering Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React … Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent for leading, motivating, and inspiring teams. Excellent communication skills and ability to bridge technical and non-technical stakeholders effectively. Brings a startup mindset: positive, adaptable, proactive, and thrives in a fast-paced, evolving environment. Apply Now: Join us to shape the future of legal transactions with More ❯

/Waterfall understanding. Cloud, ideally Azure and its core AI products (Azure ML, Azure OpenAI, AI Foundry). Modelling: Expertise in at least 2 areas of AI, e.g. forecasting, NLP/NLM, vision. Experience with GenAI, particularly Language Models. Coding: Python for data science (DS). Low/no code approach to DS/AI IDEs & notebooks. Git & GitHub More ❯

Scientists, Software Engineers and Architects on a new GenAI capability. The next, you’re fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You’ll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art AI capabilities. We’re big on flexibility. Our More ❯

Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art AI capabilities. We're big on flexibility. Our More ❯

Amazon looking to push the boundaries of AI through science-led evaluations. If you're ambitious to make a difference to the future of AI, have a PhD in NLP, and like to turn ideas into reality, we'd love to hear from you. Role We are developing adversarial tests for Large Language Models (LLMs). We are looking … Chief Scientist to design, develop and deploy evaluation technologies that will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. … conference papers. Collaborate with engineers, product partners locally and abroad, and join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional team More ❯

storage, hosting, tool technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java More ❯

efforts - including state-of-the-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, and ensuring alignment with business objectives. Develop and maintain data integration processes to ensure data … database design. Artificial Intelligence and 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 like TensorFlow, PyTorch, and Scikit More ❯

efforts - including state-of-the-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, and ensuring alignment with business objectives. Develop and maintain data integration processes to ensure data … database design. Artificial Intelligence and 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 like TensorFlow, PyTorch, and Scikit More ❯

of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker containers. Understanding of NLP, LLMs, and prompt engineering techniques. Proficient in version control, CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. Familiarity with MLOps tools … e.g., MLflow, Kubeflow, SageMaker). Understanding of regulatory or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent thinker with a structured approach to work. Passionate about learning, growth, and continuous improvement. Organised and self-motivated, with excellent time management. Comfortable taking initiative and ownership of technical decisions. A More ❯

Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point on-site presence in the customer More ❯

skills in segmentation, recommendation, campaign optimisation, forecasting, etc. Proficiency in Python, SQL, Bash, and Git. Familiarity with tools like Pandas, Jupyter notebooks, PyTorch. Experience with advanced techniques including CausalAI, NLP, RNNs, GraphAI, GenAI, and Computer Vision. Solid understanding of experimentation methods including A/B testing. Strong communication skills and ability to translate complex analyses into actionable insights. Nice-to More ❯

some recent projects we’ve been focusing on: Building horizon scanning applications, providing novel data analytics for the whole of science and technology with graph databases, big datasets and natural language processing in AWS. Building novel simulations of distributed autonomous systems architectures using cloud infrastructure and messaging with Python, Kafka and Azure. Helping an energy customer to … maintain critical infrastructure by developing a data processing application, database and API to store 40 years of inspections data and enable data analytics and condition monitoring on this using ASP.NET, Entity Framework, Postgres and C#. Requirements The successful applicant will meet the following minimum requirements: Significant experience leading the design and deployment of complex cloud solutions to AWS At … least 1 Object-Oriented Language (Python or C# ideally) Experience with containerisation of applications An ability to discuss and present complex topics in an understandable way Consultancy skills in stakeholder management, business development and requirements elicitation Excellent interpersonal skills to enable internal and external network development It is to your advantage if you meet any of the following additional More ❯

Science and Artificial Intelligence capability. The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning and Natural Language Processing to help improve patient outcomes and care. Location: Hybrid in London (2/3 days per week) Interview Process: 4 Stages To be considered: Over More ❯

hands-on experience in AI development, including building prototypes using platforms like OpenAI and Anthropic. •Strong understanding of AI technologies, including Generative AI, multi-agent architectures, model evaluation, and natural language processing. •Experience leading other developers in code reviews, setting coding standards, and ensuring quality software development practices. •Ability to design and guide solutions architecture for scalable, secure More ❯