Senior Machine Learning Engineer

Found in: Talent UK C2 - 2 weeks ago


London, United Kingdom Experian Full time

Job Description

The DataLabs function consists of teams of Product Managers, ML Engineers and Data Scientists dedicated to building rapid prototypes of new Experian data products, that spearhead the next wave of product innovations.

The Machine Learning Engineering team in the Lab facilitate the transition of concepts and proved ideas into products and services that Experian can take to their customers, whether that be businesses or direct to consumers. To do this, we build upon the outcomes of our experiments to meet the product requirements - considering performance, maintainability, and scalability.

We are seeking an experienced Senior Machine Learning Engineer to deliver machine learning solutions from a proven concept to production-ready solutions, embracing standard industry processes such as Agile, DevOps, version control and model management. You will be working with large complex data sets to build solutions, thinking about the design and architecture of the product and how it can be scaled.

This is a really exciting opportunity for someone who has an interest in the commercial application of machine learning solutions and is keen to discover and introduce new technologies into the team.


Qualifications

Advanced proficiency in Python, with a strong foundation in OOP, SOLID principles, TDD, and domain driven design.  Experience with one or more additional programming languages (Java, JavaScript, C++, Go, C#) is highly beneficial.  Experience of machine learning frameworks and toolkits such as sklearn, XGboost, TensorFlow  Good cloud skills AWS & Azure Familiarity with Unix and scripting languages.  Proficient with Docker working in any container orchestrator such as k8s, OpenShift, Docker swarm. 

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