AI Engineer

3 weeks ago


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

We're on a mission to make app building so easy everyone can do it – regardless of their background, tech knowledge or budget. 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.

About the Role

We're looking for a Python Engineer to be based in London, UK and work closely on business critical Machine Learning (ML) work. You are someone who is passionate about technology and is keen to build machine learning data pipelines that will ingest data and productionise machine learning models and AI services in the cloud.

What You'll Be Doing
  1. Building, maintaining and managing data pipelines that support the modeling initiatives of data scientists
  2. Working closely with data scientists and engineering teams to productionise machine learning models and AI services
  3. Contributing to the development of the Builder Knowledge Graph
  4. Building unique solutions to ensure that GenAI LLM models in our pipeline have the data they need and are able to integrate with automated and human workflows efficiently to deliver to our customers and capture feedback for continuous learning.
  5. Engineer to scale in the cloud using methodologies such as service-oriented architectures, containerised applications and lambdas
Requirements
  1. A higher university degree in Computer Science, Engineering, Mathematics, Physics etc
  2. Strong programming expertise in Python
  3. Software engineering experience applied to productionising machine learning or building data pipelines
  4. Solid fundamental knowledge of data querying and manipulation using SQL
  5. Experience working in an AI or ML environment, with other Engineers or Data Scientists
  6. Ability to communicate with diverse stakeholders
  7. Experience with technologies such as Docker or Kubernetes
Benefits
  1. Discretionary variable pay or commission scheme dependent on your role
  2. Stock options in a $450 million funded Series D scale-up company
  3. 24 days annual leave + bank holidays
  4. 2 x Builder family days each year
  5. Time off between Christmas and New Year
  6. Generous Referral Bonus scheme
  7. Pension contributions
  8. Private Medical Insurance provided by AXA
  9. Private Dental Insurance provided by Bupa
  10. Access to our Perkbox


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