Machine Learning Engineer

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-on Machine Learning Engineer to join a Fintech Giant in London. As the Machine Learning expert, you’ll be leading teams that are architecting and building complex systems on AWS infrastructure that 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 with Machine Learning and Spark/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 in C/C++ and Java, Ideally with Python / shell script experience 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.