4 of 4 Permanent Natural Language Processing Jobs in Guildford

high-growth environment What you will do: Research, design, and implement advanced machine learning algorithms and models Develop and optimize AI pipelines for data processing, training, and inference Collaborate with cross-functional teams to integrate AI solutions into products The ideal candidate: Proven experience in machine learning, deep learning … natural language processing Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) Ability to translate complex problems into practical, scalable AI solutions How to Apply: To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website ...

experience designing and leading customer pilots, POCs (Proof of Concept), and AI-driven solution demonstrations. Knowledge of AI technologies such as LLMs, ChatGPT, NLP, MCP and automation frameworks. Familiarity with Customer Service software, ITSM, CCaas, Business Intelligence, Workforce Management, QA, or Integration middleware. Proven ability to translate technical capabilities into ...

discuss your and others ideas in the research team regularly and provide peer review for your colleagues work You'll keep up with the NLP and ML fields and literature and introduce new concepts discovered as potential solutions to our business problems You'll work closely with AIengineers helping them … stakeholders to discover product roadmap. Who You Are Degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, etc. Proven record of Machine Learning or NLP research, ideally in industry. Knowledge of building deep learning neural network architectures, ideally with focus on NLP. Ability to implement ideas from research literature into ...

potential Full time A scaling B2B SaaS company is seeking a hands-on AI & Machine Learning Lead to drive the development of cutting-edge NLP and GenAI solutions powering responsible, explainable enterprise software. This is a rare opportunity to lead the AI roadmap while remaining technically deep, owning both architecture … robust, production-ready AI solutions. Responsibilities Architect and deliver end-to-end ML pipelines, including model design, deployment, monitoring, and optimisation Build and scale NLP/LLM solutions using semantic search, embeddings, and unstructured data methods Define and implement MLOps frameworks for versioning, observability, drift detection, and reproducibility Lead responsible ...