Senior ML Ops Engineer, Isomorphic Labs
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
Open for applications
More information about location
3+ days a week in office (Kings Cross, London)
201-500 employees
Company mission
To use AI and machine learning methods to accelerate and improve the drug discovery process.
Role
Who you are
- Hands-on experience managing and deploying workloads on Kubernetes
- Experience building and prototyping secure/scalable platforms/products on cloud
- Strong experience in DevOps best practices
- Strong foundations in software engineering
- Proficiency in any of the following: Python, Golang, Rust, JavaScript
Desirable
- Experience, and active participation at any stage of the ML Model Lifecycle, for instance:
- Developing training/inference platforms
- Managing large fleets of compute for ML purposes
- Or other relevant experience related to ML model lifecycle
- Practical experience with modern Machine Learning Ops lifecycle, tools, and frameworks
- Experience supporting machine learning research activities
- Familiarity with python-based ML frameworks like TensorFlow, PyTorch, or JAX
- Experience with Google Cloud Platform (GCP)
What the job involves
- This is an exciting opportunity for you to work on a greenfield ML-based software platform that will transform the biopharmaceutical world as we know it
- You will join our ML Platform group, where you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation
- You'll be working as part of a small and highly efficient team working on all parts of ML Model Lifecycle - from infrastructure, to software engineering, to user experience
- We will encourage you to dream up and build the ML platform you wished was already available. Your tools will have access to a large fleet of compute. Your work will be used by some of the best chemistry/biology/ML minds in the world
- You'll be free to pursue the team goals in the best way you see fit. We're interested in you telling us how to build things better
- Build ecosystem and tools to enable cutting-edge ML research and serve large-scale ML models at the forefront of science
- Build and operate processes and tools for effective operational management of research and production software
- Design, implement and manage cloud infrastructure for all stages of ML model lifecycle, from research, through training, to production inference
- Partner and collaborate with a diverse set of teams incl
- Science, research, product, business development and operations
- Contribute to 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
30% female employees
Company
Funding (1 round)
Mar 2025
$600m
LATE VC
Total funding: $600m
Company benefits
- Hybrid working: It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call
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
Leadership
Demis Hassabis
(Co-Founer & CEO)Co-founded Google DeepMind in 2010 and has served as the CEo ever since.
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