Machine Learning Engineer - Systems

🚀 Senior / Staff ML Systems Engineer

📍 London (Hybrid)

💰 Up to £150k

🏢 Well-funded AI company (£100m+ raised)

We’re working with a fast-growing AI company building production systems for training and deploying cutting-edge multimodal models across video, embeddings, and large-scale metadata.

You’ll join a small, highly technical team owning the ML infrastructure and systems layer end-to-end — from large-scale data ingestion and training pipelines through to high-performance production inference.

What you’ll be doing 👇

• Building and scaling infrastructure for massive multimodal datasets

• Improving distributed ML training systems using PyTorch and Ray

• Developing tooling for experimentation, evaluation, and dataset analysis

• Owning model lifecycle workflows across training, deployment, and rollout

• Optimising GPU inference systems for performance, latency, and reliability

What they’re looking for 🧠

• Strong background in ML systems engineering or production ML infrastructure

• Experience deploying ML models into real-world production environments

• Strong Python skills plus experience with a systems language (C++ / Java etc.)

• Experience working with distributed systems and large-scale datasets

• Engineers who enjoy solving practical problems end-to-end rather than purely research work

Tech ⚙️

• Python, PyTorch, Ray

• Distributed systems & GPU infrastructure

• Large-scale data platforms

• ML serving & inference systems

Why it’s interesting 💡

• Real-world AI systems operating at significant scale

• High ownership within a small, senior engineering team

• Direct collaboration with applied scientists and research teams

• Strong commercial traction and significant backing

• Opportunity to help shape the next stage of platform growth