7 of 7 Natural Language Processing Jobs in Bristol

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system's ability to answer increasingly complex technical questions. … Computer Science, Machine Learning, Mathematics, Statistics, or a related field Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing Hands-on experience training, fine-tuning, and deploying LLMs Experience working with vector databases, search indices, or data stores for retrieval use cases Significant ...

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 ...

Deep expertise in artificial intelligence, with a strong focus on generative AI technologies and their application across insurance operations. Strong knowledge of machine learning, natural language processing, and large language models, including their ethical and regulatory implications. Strong business acumen and commercial awareness, with the ability ...

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 ...

Provide expert feedback on grammar, semantics, style, and tone. Develop guidelines and documentation to improve consistency in AI outputs. Collaborate with researchers to identify language-specific challenges and edge cases. Suggest improvements for training datasets and linguistic rules. Qualifications Must-Have Fluency in both English and Italian (native-level … nuances. Bachelor's degree in Linguistics, Translation, Literature, or related field. Preferred Prior experience in linguistic annotation, translation, or content review. Familiarity with AI, NLP, or language technologies. Resources & Support For details about the interview process and platform information, please check: For any help or support, reach ...