Senior Machine Learning Engineer, Qflow

• Strong experience in an engineering environment, with a focus on building complex, scalable, and performant systems
• Extensive experience building complex applications in Python
• Strong knowledge of modern frameworks (e.g., Django, FastAPI, Flask)
• Experience with cloud platforms (ideally Azure) and scalable architectures
• Strong understanding of APIs, microservices, and distributed systems
• Good understanding of algorithms and data structures.
• Experience with modern AI applications, prompt engineering and Large Language Models (LLMs)
• Experience with Natural Language Processing (NLP) or Image Processing
• Excellent communication and interpersonal skills, with the ability to convey complex ideas and data to diverse audiences
• Thrives in a fast-paced, ambiguous start-up environment, driving the delivery of software engineering solutions that are both innovative and tightly aligned with commercial goals

Desirable

• We’re looking for a new team member who will be responsible for leveraging data to drive business decisions. You'll be involved in the entire data science pipeline from exploration and modelling to experimentation and deployment. We need a Senior Python Engineer who can combine an understanding of our data and appropriate tools, to produce robust solutions to problems that matter to our clients
• You’ll be working in our Engineering community within the Data Experience Team, working closely with Product and other engineers reporting to the Senior Engineering Manager
• Design, develop, and maintain the core engine that powers our products, ensuring scalability, performance, and reliability
• Write high-quality, maintainable code that is well-documented and tested (we are fans of TDD)
• Extensive collaboration with other engineers, including pair-programming and mob programming
• Ensure the codebase follows best practices for software development, such as using appropriate design patterns, writing clean and modular code, and ensuring the codebase is easy to understand and maintain
• Participate in code reviews and provide feedback to other engineers on their code
• Work closely with the Product team to translate product requirements into technical specifications
• Collaborate with other internal teams to develop software that meets the needs of the business and our customers
• Contribute to the technical direction of the team and provide ideas and input on architectural decisions