Data Engineer for Machine Learning Pipelines
3 weeks ago
About Builder.ai
We're on a mission to transform the way software is built. With our innovative approach, anyone can create apps regardless of their background or tech knowledge. Our team has already helped thousands of entrepreneurs, small businesses, and global brands achieve their software goals. We're proud to have been voted one of 2023's 'Most Innovative Companies in AI' by Fast Company and won Europas 2022 'Scaleup of the Year'.
Life at Builder.ai
At Builder.ai, we empower our team members to experiment and grow. Each role offers unlimited opportunities to learn, progress, and challenge the status quo. We believe in our shared values of Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency, and we're committed to supporting our customers and taking AI app building to new heights.
**The Role**
We're seeking a skilled Machine Learning Engineer to join our team in London, UK. As a key member of our AI organization, you'll work closely with global product and engineering teams to drive innovation and growth. Your expertise in machine learning and AI technologies will help us productionize machine learning models and build unique solutions that integrate with automated and human workflows.
**Responsibilities**
- Design, develop, and maintain data pipelines that support our modeling initiatives.
- Collaborate with data scientists and engineering teams to productionize machine learning models.
- Contribute to the development of the Builder Knowledge Graph.
- Engineer scalable solutions in the cloud using service-oriented architectures, containerized applications, and lambdas.
**Requirements**
- Higher university degree in Computer Science, Engineering, Mathematics, or Physics.
- Solid programming experience in Python (required) and Ruby (desirable).
- Software engineering experience in productionizing machine learning or building data pipelines.
- Fundamental knowledge of data querying and manipulation using SQL (required) and Neo4j (desirable).
- Practical ML experience in R&D, commercial, or academic projects.
**What We Offer**
- Discretionary variable pay or commission scheme.
- Stock options in a $450 million funded Series D scale-up company.
- Hybrid working.
- 24 days annual leave + bank holidays.
- 2 x Builder family days each year.
- Pension contributions.
- Private Medical Insurance provided by AXA.
- Private Dental Insurance provided by Bupa.
- Access to our Perkbox.
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