Machine Learning Engineer

Job title:

Machine Learning Engineer (Contract)

Job type:

Contract

Contract Length:

6 months

Rate:

£600/day+

Role Location:

Hybrid or remote (Farringdon, London)

The company:

A fast-growing, product-focused technology company operating a large-scale, data-driven platform. The business places a strong emphasis on machine learning to enhance user experience and platform safety, with a collaborative, cross-functional engineering culture.

Role and Responsibilities:

• Own and improve ML retraining pipelines to reduce manual effort for ML scientists.
• Enhance model deployment and inference pipelines (primarily using AWS SageMaker).
• Improve observability, monitoring, and overall performance of ML systems.
• Work closely with ML scientists to identify pain points and translate them into scalable solutions.
• Optimise asynchronous inference pipelines (Kafka, RabbitMQ).
• Implement features such as shadow deployments, A/B testing, and enhanced metrics.
• Improve CI/CD pipelines to accelerate model iteration and deployment.
• Collaborate within a cross-functional product squad.

Job Requirements:

• Strong Python engineering skills.
• Experience with ML training and deployment pipelines.
• Hands-on experience with AWS (ideally SageMaker).
• Experience with Docker and containerisation.
• Solid understanding of CI/CD processes.
• Experience with Kafka or similar asynchronous systems (e.g. RabbitMQ).
• Ability to work independently and drive engineering improvements.
• Experience with LLMs, text-based models, or detection systems is a plus.

Accessibility Statement:

We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.