Benefits:

• Flexible hours and location

• Competitive salary and equity package

• Occupational pension

• Generous paid parental leave

• Generous paid sick leave

Experience Requirements:

• Strong Python and Data Engineering skills

• Experience implementing production-orchestrated machine learning pipelines

• Ability to design and implement robust performance data architectures

• Experience uncovering and addressing developer pain points

• Experience creating new inference/training pipelines

Other Requirements:

• Proactive

• Lead in change management

• Product mindset

• Curiosity for problem-solving

• Experience with K8s

• Collaboration skills

• Ability to travel to London four times a year

Responsibilities:

• Design, develop, and operate a new ML Data platform

• Define and manage tables and transformations in Delta Lake

• Design, implement, and optimize APIs for ML model deployment

• Integrate machine learning models into production environments

• Ensure AI services' reliability, observability, availability, and performance

Benefits:

• Flexible hours and location

• Competitive salary and equity package

• Occupational pension

• Generous paid parental leave

• Generous paid sick leave

Experience Requirements:

• Experience fostering standards and cultures that create great software

• Ability to help others adopt high-quality practices

• Hands-on development experience

• Experience working in cross-functional teams with ML practitioners

Other Requirements:

• Ability to travel to London four times a year

• Proficiency in Python and Go

• Understanding of core DevOps concepts

• Experience with contemporary cloud deployment practices

• Enjoy working with a remote, international team

Responsibilities:

• Set the technical direction and strategy of our Software Engineering function

• Work closely with Machine Learning Engineers and Platform Engineers

• Guide and mentor backend developers

• Establish practices and standards for software development

• Balance hands-on development, architecture, and production support

Benefits:

• Flexible hours and location

• Competitive salary and equity package

• Occupational pension

• Generous paid parental leave

• Generous paid sick leave

Experience Requirements:

• Knowledge of provisioning, managing, and scaling AWS infrastructure

• Experience developing robust CI/CD pipelines

• Experience troubleshooting containerized microservices

• Experience with API services and production systems

Other Requirements:

• Ability to work independently

• Problem-solving skills (technical and operational)

• Adaptability to new technologies

• Customer-first mindset

Responsibilities:

• Improve and maintain our highly scalable platform

• Ensure platform runs smoothly with minimum downtime

• Implement proactive tools and procedures to prevent issues

• Investigate issues when something goes wrong