Machine Learning Developer (Contract) Based - Warwick Rate: £500-£600 per day I am working with Siemens Energy to find an experienced Machine Learning Developer to join their team in Warwick. This is a high-impact role for someone passionate about building and deploying production-ready ML solutions in a cutting-edge energy environment. About the Role Siemens Energy is driving the energy transition through innovative technologies and sustainable solutions. They are looking for a skilled ML developer to design, implement, and deploy end-to-end machine learning solutions that directly impact operational and product systems. As the successful candidate, you will: Develop, train, and optimize ML models for real-world applications. Prepare, transform, and validate complex datasets to ensure model reliability. Apply best practices in model evaluation, mitigating data leakage, and managing the bias/variance trade-off. Deploy and monitor models using MLOps approaches (Docker, CI/CD, cloud platforms like AWS/Azure/GCP). Collaborate closely with engineering and product teams to integrate ML solutions seamlessly into production. Work with modern ML frameworks and libraries such as PyTorch, TensorFlow, HuggingFace, and LLMs/SLMs. Write modular, production-grade Python code and maintain proper version control with Git. Required Experience & Skills 5 years of experience designing and implementing production-ready ML solutions. Strong expertise in ML algorithms, model development, training, validation, and optimization. Proven experience deploying and maintaining production ML models. Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps practices. Demonstrated ability to work with complex real-world datasets and perform feature engineering. Familiarity with modern ML frameworks and libraries, including PyTorch, TensorFlow, HuggingFace, and LLMs/SLMs. Excellent problem-solving skills and ability to work cross-functionally with engineering and product teams. This is an exciting opportunity to work with Siemens Energy on impactful projects in a collaborative, forward-looking environment.