Machine Learning Engineer

hackajob is collaborating with Barclays to connect them with exceptional tech professionals for this role.

Join us as a Machine Learning Engineer at Barclays where you'll develop remove entirely AI tools using state-of-the-art technologies. As part of our Chief Technology Office, you'll work on testing and implementing the latest AI/ML solutions for our bank. In this remove entirely role, you'll collaborate with talented engineers to enhance our AI platforms, integrate innovative technologies, and adopt industry best practices while contributing to Barclays' commitment to embracing AI to make Barclays simpler, better and more balanced.

To be successful as a Machine Learning Engineer, you should have experience with

• Developing or integrating AI/ML applications.
• Deploying AI/ML systems using GPU resources and integrating databases (e.g. VectorDBs).
• Backend development using Python.
• Software development lifecycle using, Git, Agile, and test-driven development.
• Docker/Kubernetes containerisation and CI/CD pipelines.
  
  

Some Other Highly Valued Skills May Include

• AWS implementation experience using IaC and best practices (EC2, EKS, GPUs, SageMaker, RDS).
• Experienced curious Engineer with good collaborative skills.
• Data Engineering experience with popular frameworks such as Airflow, DBT, Spark.
• Bachelors in Computer Science, related fields, or equivalent experience.
  
  

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills

This role will be based in our London office