⚙️ Machine Learning Engineer – Scaling Smart Systems
Location: London (Hybrid or Remote UK)
Type: Full-time | Series A | Growth-focused
We’re working with a growing AI company in London using machine learning to optimise large-scale data-driven products — think recommendation systems, demand forecasting, and decision automation.
They’re looking for a Machine Learning Engineer to help design, train, and deploy production-grade ML systems that make millions of intelligent decisions every day.
What you’ll do
Build and optimise ML pipelines for performance and scalability.
Deploy, monitor, and retrain models in production.
Collaborate with data scientists, MLOps, and product teams.
Contribute to architecture and tooling decisions (AWS, GCP, or Azure).
You should have
Strong background in ML algorithms, feature engineering, and model evaluation.
Experience building end-to-end systems — from data ingestion to inference.
Proficiency in Python and libraries like Scikit-learn, XGBoost, or LightGBM.
Experience with cloud ML platforms and CI/CD automation.
The offer
This is a chance to join a company entering its next phase of growth — well-funded, technically ambitious, and focused on scaling their ML platform. Expect freedom to experiment and a team that loves clean, pragmatic code.