Machine Learning Engineer
Description For Machine Learning Engineer
Builder.ai is revolutionizing the app development industry by making it accessible to everyone, regardless of technical expertise. As a Machine Learning Engineer, you'll join a dynamic team of 800+ professionals worldwide, backed by $250M Series D funding and a Microsoft partnership. You'll be based in London, working on cutting-edge AI solutions to automate the software development lifecycle.
The role involves building and maintaining data pipelines, productionizing machine learning models, and contributing to the Builder Knowledge Graph. You'll work with global teams across London, New Delhi, Los Angeles, France, and Dubai, focusing on data science, machine learning, and AI-driven decision-making systems.
This position offers unique challenges in innovating across various stages, from research to implementation. You'll be instrumental in developing solutions for GenAI LLM models, ensuring efficient RAG, prompting, and agent architectures. The company values experimentation and offers unlimited learning opportunities.
Builder.ai's culture is built on HEARTT values (Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency). The company provides competitive benefits, including stock options, medical insurance, and flexible work arrangements. Recent accolades include being named one of 2023's 'Most Innovative Companies in AI' by Fast Company and winning Europas 2022 'Scaleup of the Year'.
Join Builder.ai to be part of a transformative journey in AI-driven app development, working with cutting-edge technology while making a significant impact on how software is built globally.
Responsibilities For Machine Learning Engineer
- Build, maintain and manage data pipelines that support the modeling initiatives of data scientists
- Work closely with data scientists and engineering teams to productionize machine learning models
- Contribute to the development of the Builder Knowledge Graph
- Build unique solutions for GenAI LLM models integration
- Engineer to scale in the cloud using service-oriented architectures, containerized applications and lambdas
Requirements For Machine Learning Engineer
- Higher university degree (MSc or PhD) in Computer Science, Engineering, Mathematics, Physics etc
- Solid programming experience in Python (required), Ruby (desirable)
- Software engineering experience in productionising machine learning or building data pipelines
- Solid fundamental knowledge of data querying and manipulation using SQL
- Practical ML experience in R&D, commercial or academic projects
- Ability to communicate with diverse stakeholders
Benefits For Machine Learning Engineer
- Discretionary variable pay or commission scheme
- Stock options in a $450 million funded Series D scale-up company
- 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 Perkbox
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