17 of 17 Remote/Hybrid Natural Language Processing Jobs in the South East

Cambridge is seeking a Machine Learning Research Engineer to investigate new concepts in machine learning, particularly focusing on Natural Language Processing (NLP) and large language models (LLMs). The ideal candidate will possess a Ph.D. and a strong background in classic machine learning as well ...

Science to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have hands-on experience in model development, NLP, cloud platforms, and production-grade deployment, along with prior exposure to fast-paced startup environments. Key Responsibilities - Design, build, and optimize machine learning and deep … learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability and reliability. - Collaborate with cross-functional teams including engineering, product, and data teams. ...

Science to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have hands-on experience in model development, NLP, cloud platforms, and production-grade deployment, along with prior exposure to fast-paced startup environments. Key Responsibilities - Design, build, and optimize machine learning and deep … learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability and reliability. - Collaborate with cross-functional teams including engineering, product, and data teams. ...

Science to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have hands-on experience in model development, NLP, cloud platforms, and production-grade deployment, along with prior exposure to fast-paced startup environments. Key Responsibilities - Design, build, and optimize machine learning and deep … learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability and reliability. - Collaborate with cross-functional teams including engineering, product, and data teams. ...

Science to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have hands-on experience in model development, NLP, cloud platforms, and production-grade deployment, along with prior exposure to fast-paced startup environments. Key Responsibilities - Design, build, and optimize machine learning and deep … learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability and reliability. - Collaborate with cross-functional teams including engineering, product, and data teams. ...

Science to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have hands-on experience in model development, NLP, cloud platforms, and production-grade deployment, along with prior exposure to fast-paced startup environments. Key Responsibilities - Design, build, and optimize machine learning and deep … learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability and reliability. - Collaborate with cross-functional teams including engineering, product, and data teams. ...

Science to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have hands-on experience in model development, NLP, cloud platforms, and production-grade deployment, along with prior exposure to fast-paced startup environments. Key Responsibilities - Design, build, and optimize machine learning and deep … learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability and reliability. - Collaborate with cross-functional teams including engineering, product, and data teams. ...

Science to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have hands-on experience in model development, NLP, cloud platforms, and production-grade deployment, along with prior exposure to fast-paced startup environments. Key Responsibilities - Design, build, and optimize machine learning and deep … learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability and reliability. - Collaborate with cross-functional teams including engineering, product, and data teams. ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

software engineering practices such as modular design, testing, and CI/CD. Deep expertise in a wide range of ML techniques (e.g., ensemble methods, NLP, time-series forecasting, deep learning); familiarity with model interpretability and fairness tools. Strong experience with Microsoft Azure architecture (Azure ML, Azure Synapse), and containerization tools ...

containerisation and CI/CD practices Advanced AI Capability Experience fine tuning and customising models for domain specific applications Understanding of transformer architectures and NLP frameworks Leadership and Communication Experience architecting systems that scale with growing user bases Ability to establish and uphold engineering standards Strong technical communication skills across ...

drive tangible business and customer value. Comfortable working both autonomously and collaboratively in a fast-paced, cross-functional environment Strong experience with advanced NLP, including developing models, prompt engineering and fine-tuning LLMs in a commercial setting. Due to the volume of applications received for positions, it will ...

technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks ...

leadership across research and engineering domains. Core Skills Strong foundation in deep learning and transformer-based architectures. Hands-on experience with PyTorch and modern NLP/LLM toolchains. Deep knowledge of parameter-efficient fine-tuning methods (LoRA, adapters, PEFT techniques). Expertise in intent classification, evaluation metrics (precision, recall … academic research. Bonus Skills Experience with reinforcement learning (PPO, DPO) or RLHF pipelines. Familiarity with distributed training frameworks (DDP, FSDP, DeepSpeed). Background in NLP tasks such as NER, semantic similarity, QA, or dialogue systems. Experience with experiment tracking platforms (MLflow, Weights & Biases). Exposure to agentic AI paradigms (ReAct ...

week in Brighton office** Do you want to build production GenAI systems used by real customers today? Have you taken LLM or NLP models all the way from idea to deployment? Are you ready to own applied AI work end to end in a scaling product team? A well-backed … hiring an AI Engineer to join a small, high-impact cross-functional team. This is a hands-on applied AI role, focused on NLP and LLM systems, with real ownership across modelling, deployment, and iteration in production. Key responsibilities • Build and deploy production-grade Python ML services • Develop applied ...

development, data pipelines, and system integration Familiarity with cloud-native architectures and scalable AI systems Desirable/Nice to Have Experience with NLP, OCR, speech-to-text, or document intelligence Exposure to computer vision or multimodal AI systems Knowledge of real-time data processing and streaming architectures Experience with ...

Information Scientist specialising in Content Analytics to join their Scientific Information & Intelligence team. This is an exciting opportunity for someone passionate about AI, NLP, and biomedical information to help shape the future of data‐driven R&D. You’ll work at the intersection of science and technology—using advanced … technologies, enabling others through training, and driving responsible AI practices, this role offers a fantastic platform. What you’ll be doing Designing AI/NLP workflows for literature mining, summarisation, and trend analysis Applying LLMs and machine learning to improve information retrieval and content classification Supporting R&D teams with ...