We are AMS, a global total workforce solutions firm enabling organisations to thrive in an age of constant change by building, re-shaping, and optimising workforces. Our Contingent Workforce Solutions (CWS) service acts as an extension of our clients’ recruitment team and provides professional interim solutions and temporary resources.
Our client, Deutsche Bank, is a global banking business with strong roots in Germany and operations in over 70 countries. Their large but focused footprint gives them an established position in Europe plus a significant presence in the Americas and Asia Pacific. Deutsche Bank offer their clients commercial and investment banking, retail banking and transaction banking as well as ground-breaking asset and wealth management products and services.
On behalf of Deutsche Bank, AMS are now looking for a Graduate Software Engineer to work in their AI team based in London on a 6 Month contract basis.
This role is for a Graduate Software Engineer who will work on AI-driven applications and data intelligence. It is an entry-level position, ideal for someone with strong Python skills, programming experience, and an interest in AI and software development. The role is not strictly defined, meaning you will gain exposure to multiple areas, including data cleaning, API development, front-end UI, and back-end services.
The ideal candidate should be flexible, open-minded, and eager to learn on the job. You will work with a variety of technologies across the full stack, including front-end UI, APIs, and back-end services.

SKILLS AND QUALIFICATIONS:

• Strong Python Programming Skills.
• Software Engineering & Development Experience (backend, APIs, UI, etc.).
• Database Knowledge (SQL or NoSQL).
• Interest in AI & Machine Learning (experience is a plus but not required).
• Ability to Learn on the Job & Adapt to new technologies and methods.
• Team Player with Good Communication Skills.

• Data Cleaning & Processing: Prepare and refine data for AI-driven applications.
• Building APIs & Software Implementation: Develop APIs and services to integrate AI models into real-world applications.
• AI Use Cases: Work with AI teams to adapt data for AI-driven solutions.
• Full-Stack Development: Gain hands-on experience with UI technologies, service layers, and back-end development.
• End-to-End Application Development: Contribute to building AI-powered applications, ensuring they are functional and user-friendly.
• Cross-Team Collaboration: Work with various departments to apply AI to solve business problems.