Python Engineer – Machine Learning

Python Engineer – Machine Learning

London

£50,000-£65,000 + package

Overview:

• Salt are thrilled to be partnered with a global online gambling leader working to build their in-house sports betting function
• The focus of a Python Engineer – Machine Learning is to work on modelling frameworks and deployment pipelines to facilitate efficient scaling
• Key skills: Python, Machine Learning, MLOps, CI/CD, APIs

Responsibilities of a Python Engineer – Machine Learning

• You will be focused on planning and building modelling fitting frameworks and deployment pipelines
• You will be refining and optimizing existing quant sports models and tooling
• You will be building and deploying scalable apps and tools to facilitate model evaluation

The company:

A global online gambling leader made up of several successful European brands working to make the gambling experience as safe and enjoyable as possible. A technological focused organisations working with the latest advancements in Quantitative and Machine Learning tools and techniques.

Requirements of a Python Engineer – Machine Learning:

• 2-5 years’ experience in a Python-focused environment
• Experience building and deploying machine learning models
• Demonstratable experience building production quality APIs, platform optimisation and building frameworks for model evaluation and back-testing
• Exposure to developing applications that form part of a quantitative or data science lifecycle
• DESIRABLE – MLOps, Kubernetes, AWS, Airflow (or similar), sports betting experience

If the description matches your experience, click apply!