9 of 9 Remote/Hybrid Natural Language Processing Jobs in the South West

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. ...

grade data pipelines using Python, Scala, Spark, and SQL - Deep knowledge of AWS Cloud Platforms (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB) - Experience with data processing across structured and unstructured sources - Strong scripting abilities and API integration skills - Knowledge of data visualization and reporting best practices Desirable but not essential … Experience with data mining and machine learning - Natural language processing expertise - Multi-cloud platform experience They work within an Agile environment with Scrum practices, cross-functional collaborative teams and need someone who can work from the office 2 days a week. Salary: £50,000 - £70,000 + ...

line management. Experience leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to propose research beyond existing literature. Experience training and developing AI models including Large Language Models. Ability to produce high ...

Deep technical expertise across modern AI/ML ecosystems Track record of translating emerging technologies into measurable outcomes Technical Expertise Generative AI & LLMs Large Language Models (GPT, Claude, Llama, Mistral or similar) Prompt engineering … fine-tuning, RAG (Retrieval Augmented Generation) Multimodal AI (text, image, audio, video) Agentic frameworks and orchestration AI/ML Engineering Python, PyTorch, TensorFlow, JAX NLP, deep learning, model optimisation Evaluation frameworks and guardrails Data & Platforms Vector databases (Pinecone, Weaviate, FAISS, Milvus) Knowledge graphs and semantic search Data engineering pipelines MLOps ...

solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language ...

managing teams either line management or technically Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature Experience of training and developing AI models including Large Language Models Ability ...