Machine Learning Engineer

We’re hiring an ML Platform Engineer to help bridge the gap between machine learning development and production. If you’re excited by model deployment, data pipelines, and building scalable ML infrastructure, this could be the perfect fit.

✅ What You’ll Be Doing:

• Ensure seamless and reliable deployment of ML models into production
• Automate pipelines for both online and offline model features
• Optimise model performance, latency, and resource usage
• Build tools and systems to monitor live model performance and accuracy
• Ensure compliance with data privacy and security best practices
• Investigate and resolve production issues related to ML systems
• Contribute to platform tooling to automate repeatable ML workflows

👀 What We’re Looking For:

• 3+ years of software or data engineering experience
• Experience with distributed data processing systems
• Familiarity with the ML lifecycle and deploying ML solutions into production
• Hands-on with ML frameworks like SageMaker, TensorFlow, PyTorch, or scikit-learn
• Strong Python skills
• Solid SQL knowledge and experience with data modeling
• Excellent communication and collaboration skills
• Agile mindset and (ideally) a background in Computer Science, Mathematics, or similar