Senior ML Platform Engineer

Job in London, Greater London, W1B, England, UK

Listing for: Harnham - Data & Analytics Recruitment

Contract position
Listed on 2026-06-22

Job specializations:

IT/Tech
Systems Engineer, SRE/Site Reliability, Machine Learning/ ML Engineer, Cloud Computing: Infrastructure & Operations

Salary/Wage Range or Industry Benchmark: 550 - 700 GBP Daily GBP 550.00 700.00 DAY

Senior ML Platform Engineer London 5 Days a Week In Office £550-£700 Per Day, Outside IR35 Immediate Start The Company They are a technically ambitious organisation building advanced machine learning systems tightly integrated with real-world systems. Their platform supports the full lifecycle from data collection through to large-scale training and deployment. Engineering quality, reliability, and thoughtful system design are core to how they operate.

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.

How to Apply

Apply now to explore how you could take ownership of a critical ML platform and help shape systems used every day by engineers and operators.