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, ranking models, or other low-latency online ML applications.
Strong software engineering and production engineering mindset.
Experience with TensorFlow, PyTorch, or similar machine learning frameworks.
Understanding of model serving, monitoring, scalability, and production infrastructure.
Exposure to LLMOps or deploying large language models in production environments is beneficial.
Experience within sectors such as e-commerce, online platforms, gaming, fraud detection, live media, or conversational AI would be advantageous.
How to Apply
If you are an experienced MLOps Engineer with a track record of deploying machine learning systems in rea...
MLOps Engineer (Recommendation Systems) employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
