5 of 5 Natural Language Processing Jobs in County Antrim

Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and More ❯

Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and More ❯

Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and More ❯

ML experience? Have you worked in an Agile environment? This could be the next step for you! Requirements: Strong Python and ML experience. Familiarity with Agile and Git. Bonus: NLP, computer vision, cloud-native tech. Key Responsibilities: Design and implement data science solutions. Collaborate with teams and stakeholders. Apply machine learning and write clean, testable code. Perks: 35 days leave More ❯

AWS cloud - Collaborate closely with data scientists, MLOps and backend engineers to build and manage infrastructure and services for training and deployment of a diverse set of ML and NLP models - Build and maintain batch and real-time feature computation pipelines capable of processing complex structured and unstructured data using technologies such as Spark, Apache Airflow, AWS SageMaker etc. … as feature engineering/storage solutions, model training/monitoring and ML inference services - Proficiency in creating and optimizing high-throughput ETL/ELT pipelines using a Big Data processing engine such as DataBricks Workflows, Spark, Flink, Dask, dbt or similar - Experience building software and/or data pipelines in the AWS cloud (SageMaker Endpoints, ECS/EKS, EMR More ❯