Job Description
Join us as MLOps Engineer at Barclays, where you'll help design, build and deploy artificial intelligence (AI) and machine learning (ML) solutions that will help the organisation achieve its strategic objectives, while ensuring that projects are delivered to a high quality and in compliance with regulatory requirements and internal policies and procedures.
To be successful as a MLOps Engineer, you should have experience with
* Python (or other relevant programming languages), Public Cloud and the Software Development Lifecycle: experience of working with the technologies that are part of a modern data technology stack, including Python, AWS, Azure or Google Cloud. You should also be comfortable working against.
* Communication Skills: Ability to interpret business and stakeholder requirements and translate these into technical requirements and vice versa the ability to explain your technical work to both technical and non-technical stakeholders and colleagues.
Some other highly valued skills may include
1. DevOps and MLOps: an understanding of modern DevOps practices in automation, infrastructure-as-code and CI/CD (e.g GitLab). It will be beneficial if you know how these practices apply to machine learning and AI projects.
2. Collaboration and Team Work: You will be working in a multi-disciplinary team and must collaborate with a variety of pa...