Senior Mlops Engineer

5 days ago

London, United Kingdom Harnham Full time

**Senior MLOps Engineer** **London** **Up to £110,000 + discretionary bonus scheme + double matched pension **Are you looking to work amongst talented individuals in a financial services company that specialises in providing credit products to consumers, with great exposure opportunities within the industry? This is an excellent opportunity to build and ownthe infrastructure on which ML pipelines and help establish a culture of craft within Machine Learning operations. This would be a brilliant opportunity for anyone looking to develop their skills in a company filled with progression and networking opportunities. **THE COMPANY **A company that leads in providing accessible credit possibilities. The company has a track record of breaking new analytical ground using newer data sources, advanced techniques, and cutting-edge technologies, after being the first financial companyto move its systems over to the cloud. They also have an extensive portfolio including co-brand credit cards, lending books and a "Buy now pay later" scheme, the company is growing at an exponential rate. They are growing their data team and are looking fora specialist in MLOps to deliver actionable and meaningful insights across a range of channels **THE ROLE** You can expect to be involved in the following: - Build Machine Learning infrastructure and services that are robust, flexible and observable - Delivering automation of data engineering pipelines and ensuring these are both simple to run and easy to observe - Ensuring that security and governance of ML services are of the highest standards - Putting yourself into the position of the Data Scientist; think through your changes from their perspective as well as your own - Researching the latest trends in MLOps, trying out new services and integrating valuable additions to the stack - Your Skills and Experience **YOUR SKILLS AND EXPERIENCE **The successful Senior MLOps Engineer will have the following skills and experience: - Honours degree in quantitative field, ideally Computer Science or related areas - Strong AWS cloud knowledge and experience - Software Engineering experience in at least one fully featured programming language like Python, Java, Scala, Go or C++ - Production Machine Learning Experience - Highly proficient in *nix environments including shell commands and scripting - Proven software delivery experience. Covering areas such as: testing lifecycle, continuous delivery and source control management - Knowledge and experience using containerisation; principally Docker - Knowledge of InfoSec principles and practices **BENEFITS** - Discretionary bonus scheme - Double matched pension - Flexible working - hybrid **HOW TO APPLY

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