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.
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