ML Platform Engineering Lead, London

Your impact 

As an Engineering Lead, you will build, grow and lead a talented team of platform engineers and software engineers.

Working closely with the ML Research team, you and your team will develop an infrastructure platform for deploying and scaling cutting edge machine learning models and algorithms. You’ll be developing these through all stages from research grade to real world production use in pursuit of groundbreaking bio-pharmaceutical discoveries.

This newly created role will require you to draw on your extensive experience and offers an exciting opportunity to carve out your contribution in this entrepreneurial environment. This will include working with other Software Engineering Leads to develop a new platform that underpins the company technology and business strategy.

What you will do

• Create a platform for the ML Research team to conduct and accelerate ground-breaking research
• Ensure the models meet a high engineering standard with respect to architecture, scalability, maintainability and other operational characteristics
• Partner and collaborate with a diverse set of teams incl. science, research, product, business development and operations
• Build a high performing, nimble team of ML software engineers and platform engineers
• Provide technical leadership to the organisation and own core technical decisions (e.g. choice of tooling, infrastructure, and architectural design)

Skills and qualifications 

Essential

• Strong foundations in software engineering with previous experience operating as a senior individual contributor with software architecture skills
• Strong experience with platform engineering
• Experience with a variety of infrastructure frameworks
• Experience with the full ML development lifecycle
• Experience working with and leading cross functional teams
• Experience partnering with research and product teams
• Experience building secure/scalable platforms/products on cloud
• Experience building, leading and coaching high performing, diverse engineering teams of ideally 5+ people
• Exposure to modern DevOps and SRE best practices

Nice to have

• Pharma and/or biotech industry experience, ideally with a focus on drug discovery
• Familiarity with ML accelerator hardware
• Bachelor’s degree in Computer Science, a related technical field, or equivalent experience