5 of 5 Remote/Hybrid Natural Language Processing Jobs in the Thames Valley

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 ...

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 ...

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 ...