Lead Software Engineer

4 weeks ago

London, United Kingdom Builder.ai Full time

We’re on a mission to make app building so easy everyone can do it – regardless of their background, tech knowledge or budget. We’ve already helped thousands of entrepreneurs, small businesses and global brands, like NBC Universal and Pepsi, as well as American organizations like Bobcat and Smart Path, achieve their software goals. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there’s never been a more exciting time to become a Builder.

Each role at Builder has 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.

In return for your skills and commitment, we offer range of great perks, from hybrid working and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad #WhatWillYouBuild

We are looking for a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and the platform engineering team.

We need this role to keep upgrading our AI infrastructure to be more resilient and scalable, while we face increasing demands for support on development, deployments, monitoring and maintenance from the Intelligent Systems team. The role is needed to effectively plan and execute the roadmap for the MLOps team accounting for data science and product stakeholders, infrastructure and cost constraints. Further responsibilities would include the setting and review of quarterly goals for the team, participation in the hiring process for new team members, oversee and monitor team performance during and after probation.

The position will be at the intersection of data science and development operations. The candidate would want to join because of the extreme variety of problems we are facing: support to data scientists in the development of AI-based APIs; support the design, implementation, deployment, maintenance of our microservices infrastructure, data and model training pipelines. Python
SQL
AWS, Azure

Great communication skills, ability to work in a diverse team and the emotional intelligence required to work with human capital are a must. Strong software engineering experience with Python. Experience working with Databases, Postgres, Redshift, Neo4j would be a plus.

Computer Science or Software Engineering degree / BSc or higher
Experience leading a Machine Learning / MLOps team
Strong Python coding experience
Experience with the SQL querying language
Experience working with Docker both in development and deployment environments
Experience with software engineering best practices: unit testing (with mocks), code reviews, design documentation, excellent debugging, troubleshooting skills
Makes decisions based on data and evidence.

Added bonus
Experience with Graph databases
Hands-on experience in all facets of automation and systems architecture, with particular focus on Linux and open source technologies
Experience working in Cloud environments, in particular Azure or AWS

Attractive quarterly OKR bonus plan or commission scheme dependant on your role
~ 24 days annual leave + bank holidays
~Generous Referral Bonus scheme
~ Pension contributions
~ Private Medical Insurance provided by AXA
~ Private Dental Insurance provided by Bupa
~

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