Intern, AI Engineer GB
Listed on 2026-06-08
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Intern, AI Engineer (London, GB)
Requisition Office Country United Kingdom Office City London Division Information Technology Full-Time/Part-Time Full Time Contract Type Intern Contract Length 06 months Posting End Date 03/06/2026
Purpose of Job
The European Bank for Reconstruction and Development (the EBRD or the Bank) is undertaking an Operational Effectiveness and Efficiency (OE&E) programme to become a leaner and more effective organisation, one of the three strategic priorities for the Bank, alongside strengthening its transition impact in its countries of operations and securing its financial stability. A programme team made up of Bank employees and some external advisors is working across a range of projects with a focus on simplifying processes, freeing up capacity, bringing IT technology and practices up to date, and improving the work environment.
The outcome of the programme should have a measurable impact on the banks transition and financial priorities.
The European Bank for Reconstruction and Development (EBRD) is establishing a new AI/ML capability within its IT department to drive innovation and deliver intelligent AI solutions. As part of this initiative, we are looking for an enthusiastic Azure AI/ML Engineer Intern to join our team in Sofia.
This role offers a unique opportunity to gain hands-on experience in designing, developing, and deploying AI/ML applications on the Azure platform. You will contribute to building intelligent AI applications while gaining valuable insights into the latest technologies and industry best practices.
As an intern, you will assist in designing, developing, and implementing AI and ML applications, support the deployment, integration, testing, and securing of Azure AI Services, contribute to the development of Agile-based AI/ML solutions using Python and other tools. You will learn and assist in integrating commercial off-the-shelf software products with in-house solutions under the guidance of the Banks solution architecture team.
You will work closely with cross-functional teams to conceptualise AI projects that drive business innovation and provide value in the rapidly evolving field of artificial intelligence.
The AI/ML IT application development uses Agile software delivery on Azure cloud technologies. The development uses a platform built using Python technologies together with commercially available off the shelf software products with the Banks solution architecture team guidance.
You will have a strong interest in AI/ML and cloud-based solutions, basic knowledge of Azure AI Services or cloud platforms (prior experience is a bonus but not essential). You are ambitious, have a drive to self start, and eagerness to learn, collaborate, and contribute to innovative projects.
Accountabilities & Responsibilities
To work within a software development team to develop, deliver and support the Dev Ops pipeline for the development team to increase efficiency of their delivery of the Bank application systems to meet business requirements using a range of agile techniques and knowledge of software development and software products underpinned with knowledge of IT operations, support and a regulated finance industry sector such as banking or insurance.
This is a hands on development role so you will be learning a lot on the job.
- Build, develop and deploy AI powered applications using Python and related frameworks
- Utilise Python and other relevant programming languages to build intelligent applications on the Azure platform.
- Design and develop Azure AI Services proficiently;
Develop solutions using Azure AI Prompt Flow; - Setup and develop data ingestion pipelines and components; design and develop efficient ingestion methodologies
- Developing search related components using Azure AI Search (Vector Store)
- Developing and deploying AI/ML models on Azure technologies for business teams
- Work closely with MLOps engineers to Integrate MLOps practices into the existing development lifecycle
- Collaborate with AI Engineers, MLOps Engineers, Data Scientists and Business stakeholders to understand deployment, networking and security requirements in helping design effective AI…
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