Senior MLOps Engineer

JR United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior MLOps Engineer to join their dynamic AI team. In this hands-on role, you will design and build the infrastructure for scalable machine learning systems, focusing on workflow automation and LLM deployment. With a fast-paced environment and a company poised for growth, this is an exciting opportunity to contribute to innovative projects. If you have a solid background in MLOps and experience with cloud-native platforms, this role offers you the chance to make a significant impact as the team progresses towards Series B funding.

Qualifications

• 2-3 Jahre Erfahrung in MLOps und Cloud-nativen Plattformen.
• Erfahrung in der Bereitstellung großer Sprachmodelle.

Responsibilities

• Entwicklung und Wartung der Infrastruktur für skalierbare ML-Systeme.
• Automatisierung von Workflows und Unterstützung der Modellerstellung.

Skills

MLOps

AWS

Kubernetes

Docker

Data Streaming

System Monitoring

Tools

AWS

Kubernetes

Docker

Job description

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Senior MLOps Engineer

We’re looking for a Senior MLOps Engineer to join a growing AI team. This is a hands-on role where you'll help design and build the infrastructure behind scalable machine learning systems.

You’ll work on workflow automation, LLM deployment and fine-tuning, and support production-grade model inference. The team is moving fast, and the company is heading toward Series B – a good time to get involved.

We’re looking for someone with 2–3 years of experience in MLOps who’s comfortable working across cloud-native platforms and ML pipelines.

What you’ll need:

• Experience with AWS, Kubernetes, and Docker
• Solid background in MLOps and deploying large language models
• Understanding of data streaming and system monitoring