Machine Learning Engineer

4 weeks ago

London, Greater London, United Kingdom Builder - What would you Build? Full time

About Builder

We're on a mission to empower app building for everyone, regardless of background, tech knowledge, or budget. Our global team of over 800 people has already helped thousands of entrepreneurs, small businesses, and global brands like the BBC, Makro, and Pepsi achieve their software goals. With $250m Series D funding and a partnership with Microsoft, we're at an exciting stage of growth.

Our team encourages you to experiment and innovate. Each role at Builder offers 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.

Our global team is diverse, collaborative, and exceptionally talented. We hire people for their differences but all unite with our shared belief in Builder's HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency) and a let's-get-stuff-done attitude.

In return for your skills and commitment, we offer a range of great perks, from hybrid working and a discretionary variable pay or commission scheme to employee stock options, generous paid leave, and trips abroad.

**About the Role**

We're looking for a curious, ambitious, and razor-sharp engineer to be based in London, UK. You'll be a part of the AI organization and work closely with global product and engineering teams across many locations, including London, New Delhi, Los Angeles, France, and Dubai. The Intelligent Systems team will drive all the innovation powered by data science, machine learning, and AI (decision making).

As a key member of the team, you'll be responsible for building, maintaining, and managing data pipelines that support the modeling initiatives of data scientists. You'll work closely with data scientists and engineering teams to productionize machine learning models, contribute to the development of the Builder Knowledge Graph, and engineer to scale in the cloud using methodologies such as service-oriented architectures, containerized applications, and lambdas.

**Requirements**

  • Higher university degree (MSc or PhD) in Computer Science, Engineering, Mathematics, Physics, etc.
  • Solid programming experience in one or more general-purpose programming languages: Python (required), Ruby (desirable).
  • Software engineering experience applied to productionising machine learning or building data pipelines.
  • Solid fundamental knowledge of data querying and manipulation using SQL (required), Neo4j (desirable).
  • Practical ML experience in R&D, commercial, or academic projects.
  • Ability to communicate with diverse stakeholders.

**What We Offer**

  • Discretionary variable pay or commission scheme dependant on your role.
  • 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.
  • Time off between Christmas and New Year.
  • Generous Referral Bonus scheme.
  • Pension contributions.
  • Private Medical Insurance provided by AXA.
  • Private Dental Insurance provided by Bupa.
  • Access to our Perkbox.

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