Analyst, AI/ ML Engineer

Step into the world of applied AI as an Analyst AI/ML Engineer, where you’ll help build real AI applications like chatbots, RAG systems, and conversational tools using Azure AI Services, Prompt Flow, and vector search. Working alongside senior engineers, you’ll support data prep, model testing, coding tasks, and deployment pipelines while gaining exposure to MLOps, CI/CD, and responsible AI practices.

You’ll write clean Python code, learn cloud‑native AI development, and contribute to the delivery of next‑gen intelligent solutions. With strong mentorship and cross‑team collaboration, this role is the perfect launchpad into scalable, secure, and ethical AI engineering.

What you will do:

• Help build AI applications using Azure AI Services, Prompt Flow, and Azure AI Search.
• Write clean, testable Python code and take part in code reviews.
• Support automated testing, observability, and CI/CD pipeline workflows.
• Assist with model validation, tuning, and applying fairness/explainability principles.
• Contribute to user story refinement, backlog grooming, and agile ceremonies.
• Support delivery of small AI features in collaboration with MLOps and Product teams.
• Participate in technical spikes and research tasks under senior guidance.
• Assist with deploying training and inference pipelines in Azure ML and Prompt Flow.
• Promote engineering best practices and responsible AI behaviours.

What you will bring:

• Degree in Computer Science, Data Science, Engineering, Mathematics or similar.
• Around 2 years of Python experience (academic or professional).
• Basic understanding of machine learning concepts, model lifecycle, and data processing.
• Familiar with software development practices, including unit/integration tests.
• Strong analytical thinking and problem‑solving mindset.
• Exposure to Git, GitHub, Jira, or similar collaboration tools.
• Effective communication and documentation skills.
• Curious, proactive, and eager to learn modern AI engineering.
• Awareness of responsible AI principles (fairness, transparency, explainability).
• Experience with Docker, RESTful APIs, or microservices is a plus.
• Exposure to Azure ML, Prompt Flow, embeddings, vector search, or similar tools is desirable.
• Ability to write clear technical documentation, including API specs.

Why join us:

• Kick‑start your AI engineering career with hands‑on experience, real production systems, and guidance from experienced AI/ML engineers.
• Build end‑to‑end AI skills using modern tools and cloud technologies, contributing to meaningful projects that impact the organisation.
• Grow in a supportive, future‑focused culture with access to training, certifications, and a community committed to responsible and ethical AI.

What is it like to work at the EBRD? / About EBRD 

Our agile and innovative approach is what makes life at the EBRD a unique experience! You will be part of a pioneering and diverse international organisation, and use your talents to make a real difference to people's lives and help shape the future of the regions we invest in.  

At EBRD, our Values – Inclusiveness, Innovation, Trust, and Responsibility – are at the heart of how we work. We bring these to life through our Workplace Behaviours: listening well and speaking up, collaborating smartly, acting decisively with full commitment, and simplifying to amplify our impact. These principles shape our culture and define our success. We seek individuals who not only share these values but are also committed to embedding them in their daily work, fostering a positive and high-performing environment. 

The EBRD environment provides you with: 

• Varied, stimulating and engaging work that gives you an opportunity to interact with a wide range of experts in the financial, political, public and private sectors across the regions we invest in. 
• A working culture that embraces inclusion and celebrates diversity. Our workforce reflects a broad range of backgrounds, perspectives, and experiences, bringing fresh ideas, energy, and innovation and enhancing our ability to serve our clients, shareholders, and counterparties effectively.
• We offer hybrid and flexible working arrangements and believe we operate at our best when collaborating 3 days a week in person (minimum). 
• An environment that places sustainability, equality and digital transformation at the heart of what we do. 
• A workplace that prioritises employee wellbeing and provides a comprehensive suite of competitive benefits. 

Diversity is one of the Bank’s core values which are at the heart of everything it does.  As such, the EBRD seeks to ensure that everyone is treated with respect and given equal opportunities and works in an inclusive environment. The EBRD encourages all qualified candidates who are nationals of the EBRD member countries to apply regardless of their racial, ethnic, religious and cultural background, gender, gender identity, sexual orientation, age, socio-economic background or disability.   

Please note, that due to the high volume of applications received, we regret to inform you that we are unable to provide detailed feedback to candidates who have not been shortlisted (for further consideration).