2 of 2 Python Engineer Jobs in Derbyshire

Senior ML Engineer - Python/Serverless ML Pipelines (AWS Lambda) - Fully Remote (Northern Ireland-based candidates encouraged) Salary: £100k+ market-leading benefits package About the Company: Our client is a rapidly scaling, VC-backed technology company focused on cloud cost optimization and FinOps solutions for enterprises and MSPs … and engineering function, helping deliver intelligent automation features and ML-enhanced services in a high-scale cloud environment. The role requires deep expertise in Python, applied machine learning, and AWS-native ML workflows. You'll work closely with data engineers, backend developers, and product leaders to embed ML across … across the platform Essential Criteria: * 7-10+ years of software/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services More ❯

Senior ML Engineer - Python/Serverless ML Pipelines (AWS Lambda) - Fully Remote (Northern Ireland-based candidates encouraged) Salary: £100k+ market-leading benefits package About the Company: Our client is a rapidly scaling, VC-backed technology company focused on cloud cost optimization and FinOps solutions for enterprises and MSPs … and engineering function, helping deliver intelligent automation features and ML-enhanced services in a high-scale cloud environment. The role requires deep expertise in Python, applied machine learning, and AWS-native ML workflows. You'll work closely with data engineers, backend developers, and product leaders to embed ML across … across the platform Essential Criteria: * 7-10+ years of software/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services More ❯