Senior ML Platform Engineer — Real-Time Data & Scale

Super; United Kingdom; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Medical / Health Insurance

Employee Assistance Programme

Job summary

Super is building a brand-new ML Platform to empower the entire Engineering organisation. As a Senior Engineer in the ML Platform squad, you will drive backend services, data pipelines, and tooling to enable ML adoption across teams, with focus on security, performance, and scalable data‑driven decisions for hundreds of thousands of users daily.

You will mentor junior engineers, collaborate with data scientists and product teams, and help shape the ML roadmap through cross‑functional work.

Qualifications

• 7+ years in Backend/Software Engineer roles.
• Proficient in Python and distributed systems.
• Experience designing APIs and real-time data processing.

Responsibilities

• Design and build scalable backend services and APIs for ML experimentation, deployment, and monitoring.
• Re‑architect and rebuild data pipelines for real-time processing and production ML models.
• Develop tools to help ML engineers design, test, and deploy pipelines.

Skills

Python

Distributed systems

Backend/API design

Real-time data processing

Cloud platforms

Collaboration

Mentoring

Tools

Kafka

Flink

Spark Streaming

Pulsar

Docker

Kubernetes

MLflow

ZenML

Metaflow

Job description

Super is building a brand-new ML Platform to empower the entire Engineering organisation. As a Senior Engineer in the ML Platform squad, you will drive backend services, data pipelines, and tooling to enable ML adoption across teams, with focus on security, performance, and scalable data‑driven decisions for hundreds of thousands of users daily.

You will mentor junior engineers, collaborate with data scientists and product teams, and help shape the ML roadmap through cross‑functional work.