Software Engineer (Inference Platform), London

Isomorphiclabs; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Isomorphic Labs is shaping the future of AI-enabled drug discovery by building scalable foundations for large-scale models and reliable inference. You will reinforce a robust, cloud-native platform and collaborate with research teams and Applied ML engineers to support growing data and larger models.

The role requires hands-on deployment of inference stacks, a reliability-first mindset, and strong collaboration across engineering and scientific teams in a hybrid office setting.

Qualifications

• Hands-on experience deploying and scaling inference frameworks in Kubernetes.
• Strong programming skills with reliability-first software development.
• Experience building, operating, and debugging large-scale distributed systems.
• Knowledge of modern infrastructure, IaC, CI/CD, and observability.

Responsibilities

• Develop and operate the inference platform serving ML models to scientific apps.
• Optimize services for high throughput and feature parity across the stack.
• Contribute to core tooling decisions and architectural design.
• Deliver high-quality, well-tested user-focused features.

Skills

KServe

Seldon

Kubernetes

Cloud-native ML

Distributed systems

DevOps

CI/CD

Observability

Tools

GCP

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

We are building the largest foundation models in biotech and applying them immediately to cure disease. You will play a pivotal role in ensuring the reliability and scalability of the foundations that make this possible.

As an Engineer, you will get involved with the efforts to harden our systems, ensuring our groundbreaking AI is built on an unshakeable base, working closely with the research team and the Applied ML teams to ensure the infrastructure is stable, reliable and can operate with more data and larger models as we grow.

What You Will Do

• Develop and operate our inference platform, serving fleets of cutting-edge machine learning models to scientific applications.
• Optimize our existing inference services. You will solve core scaling limits, ensuring high-throughput performance and feature parity across our model serving stack.
• Contribute to core technical decisions on tooling and architectural design.
• Deliver high-quality and well-tested user-focused features.

Skills and Qualifications

Essential:

• Hands-on experience deploying and scaling inference frameworks (e.g., KServe, Seldon) within Kubernetes, including a strong understanding of cloud-native ML lifecycle management.
• Strong programming skills and a "reliability-first" approach to software development.
• Experience developing, operating, and debugging large-scale distributed systems, with a strong grasp of high-throughput architectures.
• Understanding of modern infrastructure and DevOps practices (Infrastructure as Code, CI/CD pipelines, and comprehensive observability).

Nice to Have:

• Experience with Google Cloud Platform (GCP).
• Familiarity with workload scheduling, ML efficiency research, and hardware benchmarking.
• Familiarity with GPU-aware infrastructure and specialized inference servers (e.g. Triton, TF Serving).

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.

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