Machine Learning Engineer

The role:

We are looking for an exceptional Machine Learning Engineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of research and production, where your work will ensure our customers get maximum value out of our solutions.

The ideal candidate for this role will get stuck in across the organisation, moving naturally from intricate data analysis, through detailed ML considerations and onto the broader business context.

You will have the freedom to propose, research and implement innovative new ideas to improve our system.

If you want to apply cutting-edge machine learning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you.

Your responsibilities

• Innovate on Solvo’s modelling and decision making solution.
• Create value for customers through application of ML principles and best practice.
• Strive for high quality and robust outcomes.
• Continuously ensure we are using the most appropriate ML modelling techniques for customer projects and our product offerings.
• Design and develop production-grade software, ensuring scalability and performance.
• Collaborate closely with scientists and engineers in an agile team environment.
• Facilitate understanding of our AI solutions internally and externally.
• Continuously develop your own AI/ML and engineering skills.

Essential skills and experience

• Academic or industrial research experience in machine learning, especially probabilistic models and Bayesian statistics.
• Proficiency in designing and programming advanced ML algorithms.
• Ability to apply state-of-the-art research to real-world problems.
• Proficiency in operating and evolving advanced ML systems in a production environment.