Machine Learning Engineer Data Science

4 weeks ago


London, United Kingdom Builder.ai Full time

We’re on a mission to make app building so easy everyone can do it – regardless of their background, tech knowledge or budget. We’ve already helped thousands of entrepreneurs, small businesses and global brands, like NBC Universal and Pepsi, as well as American organizations like Bobcat and Smart Path, achieve their software goals. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there’s never been a more exciting time to become a Builder.
Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take AI app building to new heights.
In return for your skills and commitment, we offer range of great perks, from hybrid working and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad #WhatWillYouBuild
We are looking for a Machine Learning Engineer to help us maintain and expand an ecosystem of microservices developed within the Intelligent Systems Group. This includes ensuring robustness and scalability of AI-based APIs, as well as data and model training pipelines.

Strong software engineering experience with Python (no data science experience required). Experience working with Databases, Postgres, Redshift, Neo4j would be a plus.

The position will be at the intersection of data science and development operations. The candidate would want to join because of the extreme variety of problems we are facing: support to data scientists in the development of AI-based APIs; support the design, implementation, deployment, maintenance of our microservices infrastructure, data and model training pipelines. Python
SQL
AWS, Azure
Computer Science or Software Engineering degree / BSc or higher
Strong Python coding experience
Experience with the SQL querying language
Experience working with Docker both in development and deployment environments
Experience with software engineering best practices: unit testing (with mocks), code reviews, design documentation, excellent debugging, troubleshooting skills
Makes decisions based on data and evidence.
Added bonus:

Experience with Graph databases
Hands-on experience in all facets of automation and systems architecture, with particular focus on Linux and open source technologies
Experience working in Cloud environments, in particular Azure or AWS
Attractive quarterly OKR bonus plan or commission scheme dependant on your role
~ 24 days annual leave + bank holidays
~Generous Referral Bonus scheme
~ Pension contributions
~ Private Medical Insurance provided by AXA 
~ Private Dental Insurance provided by Bupa 
~



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