Harnham
MLOps Engineer (Recommendation Systems)
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Senior MLOps Engineer (Recommendation Systems)
Location: London
Contract Type: Inside IR35
Salary: £600 - £650
Start Date: Immediate
Working Days: 2 Days a week In Office
Duration: 6 Months
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.
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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.
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How to Apply
If you are an experienced MLOps Engineer with a track record of deploying machine learning systems in real-time production environments, apply now to learn more about this contract opportunity.
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