---
title: 'Software Engineer (LLM Engineering), London at Isomorphic Labs'
canonical: 'https://feeny.ai/job/software-engineer-llm-engineering-london-isomorphic-labs-london-9v29vs61qwgw'
type: 'job'
last_seen: '2026-09-08'
---

# Software Engineer (LLM Engineering), London at Isomorphic Labs

- **Company:** Isomorphic Labs
- **Location:** London, United Kingdom
- **Posted:** 2026-08-04
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/isomorphiclabs/jobs/6134265004

## Job description

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.

The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.

Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.

The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.

## 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.

Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.

We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.

Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.

## Your Impact

As a member of our newly formed LLM Engineering team, you will architect, implement and own the systems that bring LLMs into the heart of our scientific and business processes. You’ll need to apply first-principles thinking and design to build robust, secure, and scalable infrastructure for generative AI, even when there’s no pre-existing blueprint. You’ll need to use your understanding of the internal mechanics of these models and the ecosystem around them to drive your technical decisions. You’ll balance user experience and solutions engineering with high-performance platform engineering, to ensure our AI tools are scalable and reliable. This is an exciting opportunity to contribute to putting LLMs at the center of scientific discovery at scale!

## What you will do

As a member of the LLM Engineering team, you will work on a subset of the following:

- System Architecture: Architect LLM-integrated systems by incorporating scalability, security, and user experience considerations from the earliest stages of development.
- Operational Excellence: Enable telemetry, observability, governance and cost management. Build platform components and tools for routing and making optimal use of various models.
- LLM & Agentic Infrastructure: Implement advanced context management, tool-use (MCP), skill tooling, and RAG to enhance research workflows and help scale our agentic infrastructure.
- Evaluation Frameworks: Build rigorous testing for probabilistic systems to ensure model reliability and safety. Build and maintain evals for different tasks.
- Agentic Tooling: Develop the internal frameworks and IDE integrations to leverage agentic coding and agentic workflows at scale. Contribute to shaping best practices and providing a great user experience.
- Refinement & Training: Support fine-tuning and RL efforts in collaboration with AI researchers to optimise models for complex biological and chemical data.
- Strategic Collaboration and Solutioning: Partner with researchers to translate scientific needs into technical AI specifications. Partner with other parts of the business to unlock LLM-based use-cases.

## Skills and qualifications

Essential

- Software Engineering: Strong coding skills (Python) with a focus on production-grade, maintainable systems.
- System Design: Ability to architect and maintain (IaC) complex systems across multiple verticals (Security, UX, and Scalability) in the cloud.
- LLM Internals: Deep understanding of how models are trained, how they work internally, and their inherent limitations.
- LLM Serving stack: Experience with the LLM serving stack (e.g. vLLM) for open weight models for bringing the latest models to internal users.
- ML Literacy: Experience evaluating probabilistic ML systems and managing model "tool use", contexts and loops.
- First-Principles Thinking: A hype-detached approach to solving problems and selecting the right tech stack.
- Communication: Excellent stakeholder management and the ability to explain technical risks to non-experts.

## Nice to have

- Applied LLM Experience: Prior success building and scaling systems centered around Large Language Models.
- ML Infrastructure: Experience setting up the underlying hardware or orchestration for ML systems.
- GCP: Prior experience building and deploying systems on Google Cloud (GCP).
- Scientific Domain: Interest or experience in biology, chemistry, or drug discovery; an interest in applying AI to scientific discovery.
- Fast-Moving Tooling: Familiarity with the latest in agentic tooling and developer frameworks.

Culture and values

We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.

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.

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.

Please note that when you submit an application, your data will be processed in line with our [privacy policy](https://www.isomorphiclabs.com/applicant-and-candidate-privacy-policy).

>> [Click to view other open roles at Isomorphic Labs](https://www.isomorphiclabs.com/work-with-us#current-job-openings)

## About Isomorphic Labs

## Company Overview
- **One-liner**: Isomorphic Labs is an AI-driven drug discovery company building on AlphaFold to accelerate the design of novel therapeutics and solve disease at digital speed.
- **Entity Type**: Private (Series B)
- **Headquarters**: London, United Kingdom (with an office in Lausanne, Switzerland)
- **Founded**: 2021
- **Founders**: Sir Demis Hassabis, PhD (CEO)

## Core Business
- Primary industry/industries: Biotechnology, AI-powered Drug Discovery, Healthcare
- Target customers: B2B (pharmaceutical and biotech partners such as Johnson & Johnson)
- Mission or purpose statement: "To one day solve all disease with the help of AI."

## Products & Services
- **Isomorphic Labs Drug Design Engine**: A suite of predictive and generative AI models that go beyond AlphaFold to model complex biological phenomena, design novel molecules, anticipate drug performance, and accelerate scientific discovery at digital speed.
- **Research Collaborations**: Strategic partnerships with major pharmaceutical companies (e.g., Johnson & Johnson) to co-develop drug candidates across multiple therapeutic areas.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (recent Series B completed in February 2025)
- **Key Metric**: Total Funding — Series B investment round announced February 2025 (amount not disclosed); prior funding from Alphabet as a subsidiary
- **Notable Investors/Partners**: Alphabet (parent company, including Google DeepMind and Google Cloud); Johnson & Johnson (research collaboration)
- **Growth Signals**: Expansion into Lausanne, Switzerland (new office); continued hiring across AI, science, and engineering roles; building on Nobel-winning AlphaFold technology; partnerships with top-tier pharma

## Competitive Advantages
- **Frontier AI Access**: Sits within the Alphabet ecosystem alongside Google DeepMind, providing unique access to cutting-edge AI research and AGI development.
- **AlphaFold Foundation**: Built directly on the Nobel Prize-winning AlphaFold system, giving the company a massive head start in computational biology.
- **Interdisciplinary Team**: Combines world-class drug discovery experts with machine learning specialists in a high-velocity, high-trust culture.
- **Ethical Framework**: Deeply integrates responsible AI development and ethical considerations into drug discovery.

## Strategic Focus
- Current priorities: Scaling the Drug Design Engine, expanding partnerships with pharma, building out the Lausanne office, and advancing multiple drug discovery programs toward clinical candidates.
- Long-term direction: Realizing the promise of "digital biology" to transform how medicines are discovered and developed, with the ultimate goal of solving all disease.

## Why Work Here
- **Culture**: Described as "high-velocity, high-trust" — defined by urgency, curiosity, and collaboration. Core values: Brave, Determined, Together, Thoughtful.
- **Remote/Hybrid**: Hybrid working model is supported; specific policies discussed during recruitment.
- **Perks**: Generous employee benefits, development opportunities, access to frontier AGI research, and a mission-driven environment focused on world-changing impact.
- **Engineering Culture**: Interdisciplinary teams working at the intersection of AI, biology, and medicine; emphasis on continuous learning and innovation.
- **Team**: Led by a Nobel laureate (Demis Hassabis) and staffed by leaders from DeepMind, academia, and pharma.

## Sources
1. [isomorphiclabs.com](https://www.isomorphiclabs.com/)
2. [isomorphiclabs.com/careers](https://www.isomorphiclabs.com/careers)
3. [isomorphiclabs.com/life-at-iso](https://www.isomorphiclabs.com/life-at-iso)
4. [isomorphiclabs.com/work-with-us](https://www.isomorphiclabs.com/work-with-us)
5. [isomorphiclabs.com/our-team](https://www.isomorphiclabs.com/our-team)

## Other roles at Isomorphic Labs

- [Research Engineer (LLM Performance), London](https://feeny.ai/job/research-engineer-llm-performance-london-isomorphic-labs-london-28vn5v8wjp0g) — London, United Kingdom
- [Team Coordinator, President Team, London](https://feeny.ai/job/team-coordinator-president-team-london-isomorphic-labs-london-9sntj7e5pjdp) — London, United Kingdom
- [Research Leader (DMPK), Cambridge, MA](https://feeny.ai/job/research-leader-dmpk-cambridge-ma-isomorphic-labs-cambridge-pfx6zhwy5fj1) — Cambridge, MA
- [Talent Partner (Data), London](https://feeny.ai/job/talent-partner-data-london-isomorphic-labs-london-zyewt22y3rpz) — London, United Kingdom
- [Research Leader / Senior Scientist (Computational Drug Design), Cambridge, MA](https://feeny.ai/job/research-leader-senior-scientist-computational-drug-design-cambridge-ma-bb4k9g76qsc9) — Cambridge, MA
- [Senior Clinical Trial Manager, Cambridge, MA](https://feeny.ai/job/senior-clinical-trial-manager-cambridge-ma-isomorphic-labs-cambridge-367f9rxca8wq) — Cambridge, MA
- [Program Manager, People Team, London](https://feeny.ai/job/program-manager-people-team-london-isomorphic-labs-london-tkcwz4p4ggnp) — London, United Kingdom
- [Clinical Contracts Manager, Cambridge, MA](https://feeny.ai/job/clinical-contracts-manager-cambridge-ma-isomorphic-labs-cambridge-ctd4bzcwfhn1) — Cambridge, MA
- [Director, Translational Medicine, Oncology, Cambridge, MA](https://feeny.ai/job/director-translational-medicine-oncology-cambridge-ma-isomorphic-labs-cambridge-bppat880d43c) — Cambridge, MA
- [Director of Nonclinical Safety, Cambridge, MA](https://feeny.ai/job/director-of-nonclinical-safety-cambridge-ma-isomorphic-labs-cambridge-x2j3qdpbc08w) — Cambridge, MA