Machine Learning Engineer

Lorien; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading banking client is seeking a Machine Learning Engineer to join their data science and AI team. The role involves designing and deploying scalable machine learning solutions using Python and Amazon SageMaker. Responsibilities include collaborating with teams, optimising models, and maintaining deployed systems. The position supports hybrid working with one day on-site per week.

Qualifications

• 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.

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.

Skills

Python

Amazon SageMaker

Machine learning algorithms

Git

Cloud platforms (AWS preferred)

Problem-solving skills

Communication skills

Job description

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.