Machine Learning Engineer - Staff/Senior

Senior / Staff ML Systems Engineer

Hiring across Senior → Staff level

London (Hybrid)

Up to £150K

Stage: Well-funded AI company (£100M+ raised)

The Role 👋

We’re working with an AI company building production-grade systems for training and deploying cutting-edge models on large-scale multimodal data (video, embeddings, metadata).

You’ll join a small, senior team owning the full ML lifecycle from data ingestion through to production inference, working closely with applied scientists on real-world deployments.

What You’ll Do 👇

• Build and scale data platforms for large multimodal datasets

• Improve ML training infrastructure using PyTorch and Ray

• Develop tooling for evaluation, experimentation, and dataset inspection

• Own model lifecycle systems from versioning to production rollout

• Optimise high-performance inference pipelines across GPU infrastructure

What They’re Looking For 🧠

• Strong ML systems / ML engineering background

• Experience deploying models into production environments

• Strong Python plus a production language (e.g. C++ or Java)

• Experience with distributed systems and large-scale data

• Product mindset with ability to solve real-world problems end-to-end

Tech ⚙️

• Python, PyTorch, Ray

• Distributed systems, GPU compute

• Large-scale data pipelines

• Model serving and inference systems

Why It’s Interesting 💡

• Work on AI deployed at real-world scale with massive datasets

• Close collaboration with applied research teams

• High ownership in a small, senior team

• Strong commercial traction with major industry partners

• Significant growth ahead with upcoming funding