Software Engineer (ML Research Engineering), London

Software Engineer (ML Research Engineering)

We are looking for engineers with different levels of experience - Mid through to Senior Principal Staff or equivalent levels.

We are here to advance human health by re-imagining drug discovery with the power and pace of artificial intelligence.

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 by better and faster drug discovery.

Our values exist in service of that future. We think theyll help us bring it closer too.

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 were building today. It starts with the culture at this company. It starts with you.

Your impact

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.

Working in a highly creative iterative environment you will be partnering with leading engineers scientists and ML researchers to build the critical platform driving that transformation. This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve out your contribution.

What you will do

• Partner with the ML Research Drug Design and Data Engineering teams to design develop train and evaluate a variety of cutting edge ML models at unprecedented scale.
• Build a world-class ML drug design research environment with scalable software and libraries.
• Develop tools and libraries to enable large-scale machine learning experiments across thousands of accelerators.
• Maximise model performance scalability and robustness for production use within our computational platform.
• Create novel instrumental drug discovery tools in partnership with domain experts. Take end-to-end ownership from rapid prototyping to production-quality code.
• Iterate collaboratively with scientists and domain experts to deeply understand feature requirements and user feedback.

Skills and qualifications

Essential

• Strong experience with developing large-scale machine learning models.
• Extensive programming experience using any mainstream programming languages including strong Python experience.
• Experience with modern ML frameworks including at least one of JAX PyTorch or TensorFlow.
• Experience with the full ML research and development lifecycle.
• Experience partnering with research and product teams to prototype and ideally productionise ML models.
• Strong software engineering experience with software design / architecture skills.
• Strong understanding of ML theory and applications.
• Strong understanding of data structures and algorithms.
• Either a Bachelors degree in Computer Science a related technical field or equivalent practical experience.

Nice to have

• Interest in chemistry and biology.
• Experience working with biomedical data.
• Knowledge of the pharmaceutical industry ideally with a focus on drug discovery.
• Experience developing user facing production code.

Culture and values

We are guided by our shared values. Its 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 its also about initiative and integrity. The scale of the challenge demands nothing less.

Determined
Determined at Iso is the way we pursue our goal. Its a confidence in our hypothesis as well as the urgency and agility needed to deliver on it. Because disease wont wait so neither should we.

Together
Together at Iso is about connection collaboration across fields and catalytic relationships. Its knowing that transformation is a group project and remembering that what were 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. Were 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

Its 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 youre in). If you have additional needs that would prevent you from following this hybrid approach wed be happy to talk through these if youre selected for an initial screening call.

Please note that when you submit an application your data will be processed in line with our .

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