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Data Science Engineer

1 month ago

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

About Builder.ai

We're a cutting-edge company on a mission to revolutionize app building, making it accessible to everyone regardless of their background or tech knowledge. With thousands of successful projects under our belt, including collaborations with prominent brands like the BBC, Makro, and Pepsi, we've established ourselves as a leader in the industry.

Our innovative approach has earned us recognition as one of 2023's 'Most Innovative Companies in AI' by Fast Company, and we've also won Europas 2022 'Scaleup of the Year'. Our team has grown to over 800 talented individuals across the globe, and with our recent announcement of $250m Series D funding (and partnership with Microsoft), we're more excited than ever about the future.

Life at Builder.ai

We foster an environment where experimentation is encouraged, and every role offers unlimited opportunities for growth, learning, and progress. We believe in empowering our employees to take ownership of their work and contribute to our mission to make AI app building more accessible.

Our diverse, collaborative, and exceptionally talented global team shares our commitment to Builder's HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency. We also prioritize a 'let's-get-stuff-done' attitude that drives innovation and success.

In return for your skills and dedication, we offer a range of exciting benefits, including hybrid working arrangements, discretionary variable pay or commission schemes, employee stock options, generous paid leave, and opportunities to travel abroad.

About the Role

We're seeking a skilled Data Science Engineer to join our AI organization in London, UK. As a key member of our Intelligent Systems team, you'll work closely with global product and engineering teams to drive innovation powered by data science, machine learning, and AI decision-making.

The ideal candidate will be a curious, ambitious, and razor-sharp engineer with a passion for technology and a keen interest in building machine learning data pipelines that ingest data and productionize machine learning models in the cloud. You'll have solid programming experience in Python and a solid fundamental knowledge of data querying and manipulation using SQL.

What You'll Do

  1. You'll build, maintain, and manage data pipelines that support the modeling initiatives of data scientists.
  2. You'll work closely with data scientists and engineering teams to productionize machine learning models.
  3. You'll contribute to the development of the Builder Knowledge Graph.
  4. You'll design unique solutions to ensure GenAI LLM models in our pipeline have the data they need and are able to integrate with automated and human workflows efficiently.
  5. You'll engineer scalable solutions in the cloud using methodologies such as service-oriented architectures, containerized applications, and lambdas.

Requirements

  • A higher university degree in Computer Science, Engineering, Mathematics, or Physics.
  • Solid programming experience in general-purpose programming languages, with a focus on Python.
  • Software engineering experience applied to productionizing machine learning or building data pipelines.
  • Fundamental knowledge of data querying and manipulation using SQL.
  • Practical ML experience in R&D, commercial, or academic projects.
  • Ability to communicate effectively with diverse stakeholders.

Estimated Salary: £80,000 - £110,000 per annum, depending on experience.