MLOps Engineer (Recommendation Systems)

Senior MLOps Engineer (Recommendation Systems)

London

Inside IR35

£600 - £650

Immediate Start

2 Days a week In Office

6 Month Duration

The Company

They are a well-established online business investing heavily in machine learning and AI to enhance customer engagement and product discovery. Their data science and engineering teams build and deploy large-scale recommendation and ranking solutions that operate in real time. Alongside traditional machine learning, they are also exploring the use of large language models across product and content-focused use cases.

The Role and Deliverables

• Build, deploy, and maintain machine learning models within real-time recommendation and ranking systems. • Develop robust MLOps solutions to support online inference and low-latency production environments. • Work across a variety of machine learning frameworks, including TensorFlow and PyTorch. • Support the deployment, monitoring, and optimisation of production machine learning services. • Collaborate with data scientists and machine learning practitioners to operationalise models at scale. • Contribute to the deployment of LLM-based solutions, including product retrieval and AI-driven content processing applications.

Your Skills & Experience

• Strong experience in MLOps, machine learning engineering, or production ML deployment. • Proven capability deploying machine learning models into real-time, customer-facing environments. • Experience working with recommendation systems,…