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.