The Tec Recruitment Group Limited
,
Gloucester, Gloucestershire
Machine Learning Engineer
Overview
Machine Learning Engineer - Financial Services / Cyber Crime Cambridge Company Overview: We are looking for an experienced Machine Learning Engineer, where you will work as part of a world leading team in adaptive behavioural analytics machine learning software. You will help block fraud in real time and help organisations outsmart risk by spotting criminals and customer's behavioural anomalies. We are very much a human company, not just a tech company and our biggest asset is our people. Our enthusiastic, dynamic and ambitious team is led by CEO, who is one of the Most Influential Women in Tech. We've had consecutive years of outstanding growth and commercial success and are looking to accelerate our growth for 2020. The Opportunity: We are looking for a Machine Learning Engineer to join our Data Science Team. We have had tremendous commercial success over the last couple of years and as a result the scale of the systems that we are being asked to deploy have grown massively. The ML Engineering team is a new team being created to help data scientists scale the offline steps required to build high performing real-time fraud detection models. In addition to strong performance in engineering skills, the role will require an understanding of how supervised ML systems are trained and deployed, including a working familiarity with classification algorithms. Day to Day: Working with data scientists to develop internal tools for model iteration and data preparation Writing systems for making inferences on streaming, real-time data Developing and accelerating parallel / distributed / GPU-accelerated machine learning (ML) pipelines Optimising data storage, processing and computation graphs Implementing and optimising machine learning classifiers and their lifecycle About You: Required skills: Experience of designing and developing scalable applications in Java, Python or a similar language Familiarity with modern IDEs, source control, testing and code review Knowledge of parallel and distributed computing Experience with working in a Linux environment Desired skills: Experience with performance tuning and profiling Knowledge of database architectures and data layouts for efficient processing Understanding data preprocessing requirements for machine learning algorithms Knowledge of or previous experience with training and deploying machine learning algorithms Proven ability to design information rich tools in a user friendly way Experience with data visualisation or graphing libraries Personal Qualities: The work is often challenging and fast paced. We are looking for someone who has the following qualities: Attention to detail, both in your communication and your desire to deliver high-quality software Passion to learn new skills and technologies A desire to work for one of the fastest growing fraud prevention technologies in the world And most importantly, a small-company attitude: willingness to adapt to a variable role and a great can-do attitude. Salary & Benefits: We believe in giving you the resources you need so that innovation can thrive. In addition to competitive salaries, we offer: Quarterly bonus scheme Pension scheme 25 days' annual leave Training and mentoring schemes Career growth opportunities Free Friday team lunches at our Cambridge, London & Atlanta offices Quarterly social, team building events Weekly lunchtime sports clubs Fridges packed full of edible treats and drinks for lunches and snacks Top notch coffee machines Board game evenings Cycle to Work scheme This job was originally posted as www.totaljobs.com/job/89822798