Data Scientist / Machine Learning Engineer

LoopMe has a significant investment in AI. We are interested in pushing the boundaries and staying ahead of the competition rather than reapplying tired old systems. We do this by developing genuinely new machine learning systems and applying it in exciting and novel ways, please see our publications in the About the Data Science Team section below. (The second won best paper at adKDD 2021.)

You will join a team of 17 data scientists and data engineers led by an experienced Chief Data Scientist (https://www.linkedin.com/in/leonardnewnham/). See the "About the Data Science Team" section below to check out in in more detail what it is like working with us.

This is an opportunity to become part of a high growth, UK tech start-up and get first-hand experience into how tech start-ups operate. You will be working in an exciting and fast-paced environment in one of the most innovative companies in the AI space., We are a team of 17 machine learning engineers, data scientists and data engineers building systems to apply the latest AI methods and research to real world problems. LoopMe has over 300 employees, 100 of which are technical.

• We are a distributed team with offices in London, Poland and Ukraine. We are NOT an outsourcing team, we are a truly distributed team, where everyone's ideas are listened to.

• We are open to new ideas and actively strive to improve both our systems and our development practices. It is a team where anyone can have a real impact.

• We are an inclusive and welcoming team in which people enjoy working with their colleagues and feel valued.

Ihre Aufgaben

A full time Machine Learning Engineer / Data Scientist position for an exceptional candidate who has a keen interest in applying AI systems at scale. You will be designing and building machine learning systems that will operate on real world data. You will be involved with the whole system development life cycle, from brainstorming initial ideas, through prototyping to implementing production-level code and deployment. The work involves handling billions of data points per day., We work in small, highly interactive teams using two-week sprints. You will need strong communication skills. You will also be expected to care deeply about the quality of your code: its clarity, documentation, and testing.

You will be working in a small team of 3-4 data scientists/machine learning engineers. You will be designing, building and running various pipelines that read terabytes of data and efficiently process it using several different modelling techniques, including some of our own novel algorithms. These pipelines will produce outputs that feed into real-time decisioning systems.

Some of the technologies we use include Google Cloud, Python, R, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse and various supervised learning algorithms.

Ihr Profil

• A minimum of a Bachelor's degree in a mathematical discipline such as Computer Science, Applied Statistics, Maths, Engineering or Physics from a respected University. An MSc or PhD is a bonus.

• Two or more years' experience of Python and good solid knowledge of R

• Experience developing machine learning pipelines that read and process large amounts of data

  Bonus Qualifications:

• Experience of scrum / agile software development

• Practical knowledge of infrastructure for runningrunningvailability systems. (ElasticSearch, Kafka, ClickHouse, etc.)

• Experience of Airflow

• Experience of Java

  About you:

  Excellent communication skills - you will be working with colleagues in the UK and other locations

  Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behaviour

  Want to be part of a high growth start-up company with global ambitions

  We like to make work enjoyable, so a good sense of humour is required

  The ideal candidate will examine data from many perspectives, be able to think out of the box and efficiently communicate ideas and findings to technical and non-technical peers equally. A passion for new technologies and a drive to find simple and elegant ways to implement simple solutions to complex problems is key.

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