Machine Learning Engineer Ray & Spark

Hybrid / London

Critical Skills:Machine Learning, Large scale computing, (Ray, Spark), Deep Learning, Ray, Real time systems, ML OPs, & Fraud/Risk

We are looking for an experienced hands-onMachine Learning Engineerto join a Fintech Giant in London. As theMachine Learningexpert, you’ll be leading teams that are architecting and building complex systems onAWS infrastructurethat will (literally) be industry changing.

The Role:

As the hands-on technical expert, you will lead the design and implementation on the project, building a roadmap that sets the direction and objectives for the ML system architecture.

You’ll be able to adapt standard machine learning techniques, raising standards within the teams to help them develop scalable systems and offer improvements that will help reduce technical / code / engineering debt.

Key Skills:

• Extensive experience withMachine LearningandSpark/PySpark/Ray/Python
• Recommendation systems,pattern recognition, data mining, artificial intelligence
• Modern Parallel Computing;distributed clusters, multicore servers, GPU’s
• Experience with developing machine learning models at scale
• Developing and debugging inC/C++andJava,Ideally withPython/shell scriptexperience
• Experience as technical leader, owning projects, defining & setting technical direction
• Experience of architectural patterns of large-scale software applications
• If you have experience around Fraud, Risk or similar it would be highly beneficial

The role is working for a leading Fintech organisation that prides itself on both the quality of their work and the culture within the business.

This will be a 6 month contract to start, but could extend further as the company is going through a number of changes as they evolve and will need great people on board to succeed.