Machine Learning Engineer

Machine Learnig Engineer Hybrid Working - UK Wide - 1 day a quarter on site. Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using Python and Amazon SageMaker. This role is based UK Wide. This role will be Via Umbrella. Working in a Hybrid Model of 1 day a week on site. Key Responsibilities • Design and implement machine learning models for classification, regression, and forecasting tasks. • Build and manage end-to-end ML pipelines using Amazon SageMaker. • Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems. • Optimise model performance and scalability. • Monitor and maintain deployed models, ensuring reliability and accuracy. • Stay up-to-date with the latest ML research and tools. Required Skills & Experience • Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). • Hands-on experience with Amazon SageMaker, including training, tuning, and deploying models. • Solid understanding of machine learning algorithms and statistical methods. • Experience with cloud platforms (AWS preferred). • Familiarity with CI/CD practices and version control (Git). • Excellent problem-solving and communication skills. Nice to Have • Experience with MLOps tools and practices. • Knowledge of data engineering and ETL pipelines. • Exposure to deep learning frameworks and NLP techniques. IND\_PC3 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.