ML Engineer

z1nc ,
London, Greater London
Job Type: Full-time
Contract Type: Permanent

Overview

We are looking for a passionate Data ScientistML Engineer to become an integral part of our team based in the London office. You will be working on a  platform that delivers a comprehensive solution that allows organisations to understand and maximise the real value of their data.   The successful candidate will need to be organised, motivated and get things done. Want to work in a startup environment and taking ownership of what he/she will be working on. Responsibilities: - Ability to analyse big data sets coming from heterogenous producers both in real time and offline. - Apply complex algorithms producing readable reports using BI tools and online KPIs  - Creating machine learning tools to generate predictions and insights - Apply deep learning techniques in a commercial setting.    Required: - University degree in a scientific field (math, statistics, computer science, data science) - 2 years of experience in the position - Proficient knowledge of Python - Knowledge of Pandas for python analytics - Proficient with common libraries such as Pandas, Matplotlib, Scikit-learn and Numpy - Experience using SQL Knowledge of the following algorithms: - Linear and logistic regression - LDA - SVM -  K-nearest neighbors  - K-means clustering - classification and regression trees - naive Bayes Nice to have: - Knowledge of TensorFlow - Basic knowledge of deep learning techniques (e.g TensorFlow) - Knowledge of TensorFlow - Experience with cloud infrastructure (such as GCP or AWS) - Sound knowledge of statistics