5 of 5 Natural Language Processing Jobs in Bristol

engineering, governance and security standards. Query, transform and optimise data using SQL and SparkSQL to support advanced analytics and modelling. Apply LLMs, embeddings and natural language processing techniques to enhance analytical capability and insight. Build and support cloud-based data and ML workflows using Azure, Microsoft Fabric … learning concepts and experience using common ML libraries such as scikit‐learn, TensorFlow or PyTorch, alongside packages such as NumPy and Pandas. Knowledge of natural language processing techniques and API integration patterns for ML services. Experience delivering projects end-to-end, from initial concept through to production ...

ownership across the entire ML lifecycle , working hands‐on and strategically: Design, build, and optimise ML models across: Natural Language Processing (NLP) Computer Vision Predictive/statistical modelling Own solutions from data preparation → training → evaluation → deployment Design and maintain robust MLOps pipelines (CI/ ...

real sonar system by augmenting a sonar simulator Digital assistant for data analysis Developing a tool to make data analysis techniques accessible through natural language processing and semantic search Smart decision-making aid to assist with acoustic marine mammal tracking Leveraging optimisation algorithms and data-driven simulations ...

What you will do as a Senior ML Engineer Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. Collaborate with … with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes). Exposure to big data technologies (Spark, Hadoop) and Apache tools. Knowledge of NLP, computer vision, and deep learning architectures. Familiarity with Agile and DevOps practices. STEM degree or equivalent experience in AI, Data Science, or related fields. Industry ...

will be required to go through MOD SC clearance. You will be involved in: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery ...