Senior ML Platform Engineer

Senior ML Platform Engineer

London, 5 Days a Week In Office

£550-£700 Per Day, Outside IR35

Immediate Start

The Role and Deliverables

• Own and evolve the operator‑facing platform, including web UIs, backend services, and CLI tooling used for live data collection and dataset workflows.
• Design and maintain robust recording and orchestration systems that scale across robots, sensors, and lab environments.
• Collaborate with the ML team on dataset builders, ingestion pipelines, and infrastructure supporting large‑scale distributed training.
• Partner with robotics engineers on ROS2 integration, on‑robot deployment, and clean platform‑to‑robot interfaces.
• Improve reliability and performance through testing, containerisation, and careful handling of concurrency, IO, and state management.
• Support cross‑functional teams with tooling, debugging utilities, and well‑engineered solutions to fast‑moving technical problems.

Your Skills and Experience

• Strong experience owning and extending production Python systems, with a focus on clean, well‑tested, well‑documented code.
• Deep understanding of concurrency, async workloads, and IO‑bound performance in real systems.
• Experience building or supporting high‑throughput data pipelines and distributed or scalable infrastructure.
• Hands‑on experience with web backends such as FastAPI and pragmatic frontend development using vanilla JavaScript.
• Confidence designing developer‑friendly CLIs and operator tooling that are reliable and hard to misuse.
• Experience with containerisation and reproducible runtime environments.
• Ability to collaborate effectively across ML and robotics teams, translating evolving requirements into robust engineering.

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