This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
This is your opportunity to design, build, and deliver intelligent systems that make an impact. As an Associate AI/ML Engineer, you’ll take ownership of creating scalable chatbots, conversational AI, and retrieval-augmented generation (RAG) systems using cutting-edge tools like Azure AI Services, Prompt Flow, and Vector Search. You’ll operate with real autonomy, translating business problems into production-grade AI solutions while embedding best practices for quality, fairness, and explainability. This role is built for engineers who thrive on turning data into action and innovation into reality. You won’t just be coding, you’ll be shaping how AI is engineered across the organisation. From deploying pipelines in CI/CD to fine-tuning models in production, you’ll drive technical excellence while mentoring juniors and promoting responsible AI standards. If you’re ready to work hands-on with modern frameworks like Transformers and LangChain, design solutions that scale in the cloud, and become a trusted go-to voice for AI engineering within your squad, this role gives you the platform to make your mark.
Job Responsibility:
Authors clean, maintainable Python code and confidently contributes to peer code reviews
Designs and develops AI solutions using Azure AI Services, Prompt Flow and Azure AI Search (Vector Store)
Manages the delivery of small to medium AI features in alignment with business and product goals
Implements unit tests, integration tests and observability within the pipeline lifecycle
Validates and tunes models, ensuring optimal performance, fairness, explainability and data quality
Actively contributes to agile ceremonies, story estimation and refinement of technical backlogs
Translates business requirements into technical designs and actionable user stories
Serves as a confident point of contact for AI/ML queries within the squad
Participates in technical design discussions and contributes to refinement and estimation of AI/ML backlog items
Proactively drives innovation and self-directed improvements
Establishes automated testing, quality gates and observability within CI/CD pipelines
Requirements:
Proficient in Python with hands-on experience and AI/ML or data-driven software engineering roles
Demonstrates strong practical experience developing AI/ML applications using Python and modern ML frameworks (e.g. OpenAI SDK, scikit-learn, Transformers, LangChain)
Practical knowledge of Azure AI Services, Prompt Flow, Azure ML, and Azure AI Search (Vector Store)
Responsible for building and deploying AI features such as chatbots, RAG pipelines, and semantic search
Designs and maintains reproducible training and inference pipelines, integrated into CI/CD workflows
Proficient in data preparation, feature engineering and performance tuning of models in production
Demonstratable ability to translate business requirements into well-structured technical user stories
Experience in developing and testing RESTful APIs, writing OpenAPI 3.0+ specifications and integrating AI models as services
Familiar with prompt engineering techniques and embedding generation for retrieval-based systems
Contributes to story refinement, estimation and technical design discussions
operates without supervision on medium-sized deliverables
Applies responsible AI principles and supports documentation and testing for compliance and explainability
Capable of clearly communicating complex ideas to both technical and non-technical stakeholders
Enables a culture of learning and growth by mentoring and guiding junior developers
Good working knowledge of monitoring tools like Azure Monitor and Application Insights, including application logging strategies
Confident in documenting software design, system architecture, and API contracts using Open API specification
Understands Chatbot and AI assisted application architectures and development practices
What we offer:
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
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
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