4 of 4 Natural Language Processing Jobs in Avon

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

Work with large scale, multi region data sets including structured and unstructured data. Use tools such as Hugging Face, OpenAI, vector databases, and large language model frameworks to create advanced AI solutions. Optimise models through fine tuning, parameterisation, prompt engineering, and performance testing. Develop solutions across cloud environments including … years experience delivering live, production grade AI or machine learning systems. A minimum of 5 years theoretical understanding of machine learning, deep learning, NLP, and large language models. Strong experience with transformer models, embeddings, vector search, and Generative AI architectures. Practical experience using Hugging Face, OpenAI, LangChain, Retrieval Augmented ...

working with current AWS tooling. What you'll be doing: Building and deploying ML models and LLM applications Fine-tuning large language models for specific use cases Working with prompt engineering and RAG systems Creating end-to-end ML pipelines—ingestion, feature engineering, deployment Developing LLM-powered tools: chatbots … product teams What you'll need: Strong Python and experience with TensorFlow, PyTorch or scikit-learn Hands-on LLM work—prompt engineering, modern NLP techniques AWS experience: SageMaker, Bedrock, S3, Lambda, CloudWatch Understanding of deep learning, transformers and attention mechanisms Knowledge of RAG systems, vector databases and embeddings Experience deploying ...