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# Analyst, AI/ML Engineer

- **Company:** European Bank for Reconstruction and Development
- **Location:** London, United Kingdom
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Confluence, JIRA, Authentication Protocols, Automation of Tests, Distributed Systems, Github, Python (Programming Language), Machine Learning, OAuth, Scrum Methodology, Recommender Systems, Azure Machine Learning, Search Technologies, Software Engineering, Software Systems, Openapi, Enterprise Search, Data Processing, Chatbots, Retrieval-Augmented Generation, Delivery Pipeline, Git, Containerization, Integration Tests, Information Technology, Machine Learning Operations, Restful APIs, Software Version Control, Docker, Microservices
- **Published:** November 7, 2026
- **Apply:** https://jobs.ebrd.com/talentcommunity/apply/1455320533/?locale=en_GB

## About the Role

* Holds a degree in Computer Science, Data Science, Engineering, Mathematics or a related technical discipline.
 * Previous experience working with Python.[RT1.1]
 * Demonstrates foundational understanding of machine learning concepts, model lifecycle and data processing principles.
 * Basic understanding of Software Development principles, including writing unit and integration tests.
 * Demonstrates problem-solving and analytical thinking skills.
 * Able to follow guidance and apply structured approaches to technical challenges.
 * Familiar with Agile ways of working and collaborative development practices (e.g. Scrum, Kanban).
 * Basic understanding of version control systems (e.g. Git) and collaborative tooling (e.g. GitHub, Jira, Confluence).
 * Effective written and verbal communication skills, including the ability to document work clearly.
 * Curious, proactive and eager to learn in a hands-on engineering environment.
 * Demonstrates an awareness of responsible AI principles such as fairness, transparency and explainability.
 * Able to work in a diverse, multicultural team setting and follow standard delivery processes.
 * Familiarity with containerisation using Docker is desirable.
 * Hands-on experience or academic exposure to Python for data science or AI/ML development.
 * Basic understanding of RESTful API design principles.
 * Familiar with model development workflows, including training, evaluation and basic tuning.
 * Exposure to tools such as Azure ML, Prompt Flow, or similar cloud ML platforms.
 * Basic understanding of AI/ML application types such as chatbots, recommendation systems, or RAG.
 * Supports building and testing ML models, preparing datasets and writing testable code.
 * Exposure to vector search, embeddings, or retrieval techniques is desirable.
 * Assists with basic ML pipeline configuration under guidance.
 * Ability to write clear technical documentation and maintain API specifications using Open API 3.0+
 * Basic understanding of System Design and Architecture
 * Basic understanding of microservices architecture and distributed system design.
 * Familiarity with application authentication protocols (e.g. OAuth 2.0, JWT), and security best practices.

## Description

The Analyst assists with the implementation, support and maintenance of EBRD's platforms and software solutions.

The Analyst operates within the Squad as an individual contributor to develop/maintain code or infrastructure, as part of the lifecycle management of the Bank systems.

Accountabilities & Responsibilities

 * Assists in building AI solutions using Azure AI Services, Prompt Flow, and Azure AI Search (Vector Store).
 * Writes clean, testable code and assists in peer code reviews.
 * Supports the setup of automated testing and observability within CI/CD pipelines.
 * Contributes to the validation and tuning of models to ensure performance and data quality, adhering to AI fairness and explainability principles.
 * Participates in the refinement of AI/ML user stories and contributes to backlog grooming, estimation, and agile ceremonies.
 * Supports the delivery of small to medium AI features in coordination with MLOps and Product teams.
 * Contributes to the promotion of engineering best practices and responsible AI standards.
 * Supports continuous improvement and innovation within the squad.
 * Supports the team by conducting technical spikes for new initiatives, under guidance where required.
 * Assists with the deployment of training and inference pipelines to shared development environments such as Azure ML and Prompt Flow.