Data Scientist Birmingham, UK Hybrid (2 days in office, 3 days remote) My client is a leading technology company specialising in AI-powered solutions for large enterprises. They are seeking a passionate Data Scientist who excels in a hybrid work environment and is driven by the challenge of solving complex business problems through innovative AI applications. Key Responsibilities: Design, develop, and implement machine learning models to address intricate business challenges for large-scale enterprise clients. Collaborate with data scientists to prepare, explore, and engineer high-quality datasets for model training. Build and maintain robust AI pipelines for streamlined model training, deployment, and performance monitoring. Analyze and optimize model performance, iterating on algorithms to achieve high-impact, real-world results. Stay current with advancements in AI research and integrate the latest techniques into practical, scalable solutions for B2B applications. What You‘ll Bring: 3 years of experience as a Machine Learning Engineer or Data Scientist. Proficient in Python with experience in open-source ML toolkits such as scikit-learn, PyTorch, etc. Hands-on experience with Large Language Models (LLMs) and software development leveraging AI. Expertise in advanced machine learning algorithms (regression, clustering, neural networks, decision trees, etc.). Experience with MLOps tools like MetaFlow, Kubeflow, MLflow, or Airflow. Familiarity with RestAPI Python frameworks such as FastAPI or Flask. Experience with SQL and NoSQL databases (MongoDB, Postgres, Neo4j, etc.). If you‘re based in or around Birmingham and looking for an exciting opportunity to make a real impact with machine learning in a flexible work environment, we‘d love to hear from you