Software Engineer (Training Platform) London

About Iso Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.

Your impact

This is a great opportunity to play a defining role in building and operating our inference platform. You will connect deep expertise in distributed systems programming with hands‑on knowledge of operating Kubernetes‑based platforms according to best practices, all while supporting the platform in production. You will be instrumental in serving cutting‑edge machine learning models at massive scale for scientific applications, often requiring you to think from first principles. Success in this role demands excellent technical skills, independence, strong ownership, and a relentless user‑focus.

What you will do

• Contribute to the development and operation of the inference platform, serving fleets of cutting‑edge machine learning models to scientific applications.
• Deliver high-quality and well‑tested user‑focused features.
• Provide support to users of the platform.
• Perform maintenance work and drive internal tech investments for platform stability, reliability and scalability.
• Build observability and alerting mechanisms for the platform.
• Improve the Continuous Integration/Continuous Deployment (CICD) setup of the platform.
• Operate effectively in a fast‑paced and ambiguous environment, ensuring independent delivery.
• Provide great documentation and guidance for other contributors and users.

Skills and qualifications

Essential

• Experience writing and maintaining Python code in production environments, with an emphasis on concurrent programming (with a strong knowledge of async, threads, processes, GIL, etc).
• Experience building, maintaining and operating Kubernetes services.
• Experience working with distributed systems.
• Experience maintaining APIs that serve a moderately large set of internal users.
• Experience working with ML models; an understanding of ML lifecycle and how serving and operating ML models differs from other kinds of workloads.

Nice to have

• Experience working on an inference platform.
• Experience managing a fleet of ML models.
• Experience building and maintaining CI/CD processes for complex systems.
• Experience with GCP or other comparable clouds.
• Experience with building internal and user‑focused dashboards.

Culture and values

• Thoughtful - about curiosity, creativity and care. Good people doing good, rigorous and future‑making science every single day.
• Brave - about fearlessness, initiative and integrity. The scale of the challenge demands nothing less.
• Determined - the way we pursue our goal. Confidence in our hypothesis, urgency and agility to deliver. Disease won’t wait, so neither should we.
• Together - about connection, collaboration across fields and catalytic relationships. Transformation is a group project.

Creating an extraordinary company

We believe that to be successful we need a team with a range of skills and talents. We’re building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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.