Description

Machine Learning Engineering Lead, London

This is an extraordinary opportunity to join a new Alphabet company that will reimagine drug discovery through a computational and AI-first approach.

We are assembling a world-class, multi-disciplinary team who want to drive forward groundbreaking innovations. As one of the first members of this pioneering organisation, you will play a meaningful role in building this team, embodying an inspiring, collaborative and entrepreneurial culture.

This early-stage venture is on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You’ll be working at the cutting edge of the new era of ‘digital biology’ and advancing a new type of biotech that will deliver transformative social impact for the benefit of millions of people.

Your impact

As an Engineering Lead, you will build, grow and lead a talented team of platform engineers and software engineers.

Working closely with the ML Research team, you and your team will develop an infrastructure platform for deploying and scaling cutting edge machine learning models and algorithms. You’ll be developing these through all stages from research grade to real world production use in pursuit of groundbreaking bio-pharmaceutical discoveries.

This newly created role will require you to draw on your extensive experience and offers an exciting opportunity to carve out your contribution in this entrepreneurial environment. This will include working with other Software Engineering Leads to develop a new platform that underpins the company technology and business strategy.

What you will do

Create a platform for the ML Research team to conduct and accelerate ground-breaking research
Ensure the models meet a high engineering standard with respect to architecture, scalability, maintainability and other operational characteristics
Partner and collaborate with a diverse set of teams incl. science, research, product, business development and operations
Build a high performing, nimble team of ML software engineers and platform engineers
Provide technical leadership to the organisation and own core technical decisions (e.g. choice of tooling, infrastructure, and architectural design)

Skills and qualifications

Essential

Strong foundations in software engineering with previous experience operating as a senior individual contributor with software architecture skills
Strong experience with platform engineering
Experience with a variety of infrastructure frameworks
Experience with the full ML development lifecycle
Experience working with and leading cross functional teams
Experience partnering with research and product teams
Experience building secure/scalable platforms/products on cloud
Experience building, leading and coaching high performing, diverse engineering teams of ideally 5+ people
Exposure to modern DevOps and SRE best practices

Nice to have

Pharma and/or biotech industry experience, ideally with a focus on drug discovery
Familiarity with ML accelerator hardware
Bachelor’s degree in Computer Science, a related technical field, or equivalent experience

Culture and values

What does it take to be successful at IsoLabs? It's not about finding people who think and act in the same way, but we do have some shared 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.

Creating an inclusive company

We realise that to be successful we need our teams to reflect and represent the populations we are striving to serve. We’re working to build a supportive and inclusive environment where collaboration is encouraged and learning is shared. We value diversity of experience, 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 be able to share knowledge and establish relationships with each other, and we find it easier to do this if we spend time together in person. This is why we’ve decided to follow a hybrid model, and for full time positions we would require you to be able to come into the office 3 days a week (currently Tue, Wed, and one other day depending on which team you’re in). For part time positions this may vary. As an equal opportunities employer we are committed to building an equal and inclusive team. 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.

>> Click to view other open roles at Isomorphic Labs

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Isomorphic Laboratories

Machine Learning Engineering Lead, London

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