Senior Machine Learning Engineer

📋 Description

• Own full ML lifecycle: design, develop, productionise models.
• Build real-time monitoring, evaluation and alerting for drift.
• Partner with Product Managers to turn problems into ML solutions.
• Set the gold standard for ML quality, reliability, maintainability.
• Bridge science and engineering to deploy models at scale.

🎯 Requirements

• Significant experience as ML Engineer or Data Scientist with Python.
• Productionising Generative AI workstreams and LLMs knowledge.
• Deploy and manage models with Docker, Kubernetes, CircleCI.
• Strong ML fundamentals with bias for business impact.
• Collaborative mindset with mentoring peers at scale.

🎁 Benefits

• Hybrid London office with 3 days in office.
• Growth through challenge and ownership.
• Collaborative culture with learning and high standards.