Machine Learning Engineer

Description:

Our client is building products that live or die on the strength of their ML systems. We’re looking for someone who thrives where theory meets scale, who can take a research paper and turn it into production code that runs flawlessly at 2am.

Your Day Will Include
 

• Deploying and optimising large-scale ML pipelines that don’t just work in theory but work in production, under load.
• Building infrastructure that turns messy real-world data into models that improve week on week.
• Collaborating with scientists, PMs, and designers to build intelligent products people actually want to use.
   

You’ll Need
 

• Deep expertise in Python, TensorFlow/PyTorch, and cloud (AWS, Azure, or GCP).
• Fluency in building APIs and deploying models at scale.
• A tinkerer’s mindset: relentless curiosity, relentless debugging, relentless improvement.