Machine Learning Engineer

What you’ll do as an ML Engineer
Build and improve the tools and services that power our Data Science solutions, using technologies such as Python, AWS, Docker and Kubernetes. Collaborate with engineers, data scientists and business teams to understand challenges, explore opportunities and develop practical technical solutions. Support the development and deployment of machine learning solutions, contributing to automated delivery pipelines, testing, monitoring and performance improvements. Maintain and enhance existing Data Science platforms, tools and Python libraries to keep our systems reliable, efficient and scalable. Write clean, maintainable code and participate in code reviews, applying engineering best practices with support from experienced colleagues. Explore new ideas and technologies , contribute to proof-of-concept projects and share progress and learnings with colleagues across the business.

What you’ll bring to the team
A foundation in software engineering , gained through a degree in Computer Science, Engineering, Mathematics or a related field, or relevant internship or industry experience. Confidence writing clean, structured Python code , with familiarity with libraries used in data science and machine learning. An understanding of modern development practices , including version control with Git, automated testing, object-oriented programming and continuous integration and delivery. Exposure to cloud and container technologies , such as AWS, Azure, Docker or Kubernetes, alongside an interest in building reliable, scalable solutions. An understanding of data and software integration , including basic SQL skills, application programming interfaces (APIs) and a willingness to develop your knowledge of production systems. A curious, proactive and collaborative mindset , with strong communication skills, a willingness to learn from others and enthusiasm for solving problems together.