ML Platform Engineering Lead, Isomorphic Labs

Salary not provided

25% bonus, Isomorphic Labs equity options, wide ranging benefits package

Python

PyTorch

Expert level

London

More information about location

3+ days a week in office (Kings Cross, London)

AI-driven drug discovery and development

Open for applications

AI-driven drug discovery and development

201-500 employees

Artificial IntelligenceBiologyMachine LearningScienceBiotechnology

Open for applications

Salary not provided

25% bonus, Isomorphic Labs equity options, wide ranging benefits package

Python

PyTorch

Expert level

London

More information about location

3+ days a week in office (Kings Cross, London)

201-500 employees

Artificial IntelligenceBiologyMachine LearningScienceBiotechnology

Company mission

To use AI and machine learning methods to accelerate and improve the drug discovery process.

Job

Company

Role

Who you are

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

Desirable

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

What the job involves

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
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)

Salary benchmarks

Our take

The discovery of new drugs is essential for medical innovations, but the process is lengthy, high-risk, and expensive. This is due to manual research and analysis processes that are prone to human error and time-consuming workflows, raising the question as to whether AI could reduce these pitfalls.

Rather than bolting machine learning onto the existing drug discovery process, Isomorphic Labs is reimagining everything from first principles with an AI-first approach, leveraging machine learning to build predictive and generative models of biological phenomena to understand how novel drugs could perform. And the company differentiates itself from other AI-driven drug discovery startups by being a direct subsidiary of Alphabet, with access to resources, computing power, and partnerships with teams within DeepMind.

Now, the company is gearing up for its biggest leap yet - testing its AI-designed medicines on real people. After years of development, big-name partnerships, and a $600M funding round, Isomorphic says human clinical trials are finally within reach. In its London offices, scientists and AI are already teaming up to design potential treatments for diseases like cancer. The next step is putting those drugs to the test.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

30% female employees

Glassdoor (5)

Company

Funding (1 round)

Mar 2025

$600m

LATE VC

Total funding: $600m

Company values

Thoughtful: Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day
Brave: Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less
Determined: Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we
Together: Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere

Company HQ

London, UK

Articles

Google DeepMind’s drug discovery spin-off Isomorphic Labs raises $600mn

Isomorphic Labs nears first trials of AI drugs

Alphabet’s Isomorphic Labs has grand ambitions to ‘solve all diseases’ with AI. Now, it’s gearing up for its first human trials

Inside Isomorphic Labs, the secretive AI life sciences startup spun off from Google DeepMind

Leadership

Demis Hassabis

(Co-Founer & CEO)

Co-founded Google DeepMind in 2010 and has served as the CEo ever since.

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