At a Glance
- Tasks: Lead and inspire teams to innovate in ML infrastructure for groundbreaking drug discovery.
- Company: Join Isomorphic Labs, a pioneering biotech firm transforming health with AI.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on global health by advancing cutting-edge AI technologies.
- Qualifications: Proven leadership in software engineering and ML infrastructure is essential.
- Other info: Collaborative culture focused on creativity, curiosity, and making a difference.
The predicted salary is between 72000 - 108000 £ per year.
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.
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
Reporting directly to the Head of Engineering, you will be responsible for the strategic direction, execution, and operational excellence of our Platform teams, which are enabling training and serving of the largest foundations models in biotech. These teams include Technical Infrastructure, Machine Learning Platform, Site Reliability team and Developer Experience for Research. This is a highly influential role that requires a blend of deep technical expertise, strong leadership capabilities, and a passion for fostering a high-performance engineering culture. Your work has the potential to accelerate cutting edge research in the drug design space.
What you will do
- Define and execute the long-term vision and strategy for our foundational infrastructure, aligning with company goals and anticipating future needs.
- Lead, mentor, and inspire a diverse team of engineering managers and individual contributors across multiple disciplines (ML Platform, Tech Infrastructure, SRE). Foster a culture of innovation, collaboration, continuous learning, and accountability.
- Oversee the development and evolution of our core platform, ensuring it provides robust, scalable, and developer-friendly services for all engineering teams. This includes aspects like service mesh, container orchestration, CI/CD pipelines, and internal tooling.
- Lead the teams responsible for building and maintaining the underlying systems that power our user-facing applications, focusing on performance, reliability, and seamless user experiences.
- Guide the development and operation of the infrastructure supporting our prediction models, ensuring high availability, low latency, and efficient data processing for machine learning initiatives.
- Drive the strategy and execution for our core technical infrastructure, including networking, compute, storage, and data centers (on-prem and/or cloud). Optimize for cost, performance, and security.
- Champion and embed SRE principles across the organization. Oversee the SRE team responsible for ensuring the reliability, scalability, and performance of our critical systems through proactive monitoring, incident management, and automation.
- Establish and enforce best practices for infrastructure operations, including monitoring, alerting, capacity planning, disaster recovery, and security. Drive continuous improvement in system stability and uptime.
- Partner closely with product engineering teams, security, data science, and other stakeholders to understand their needs and deliver foundational solutions that accelerate product development and innovation.
- Evaluate and manage relationships with key internal partners to ensure optimal value and performance.
- Manage the budget for the Foundations Engineering organization, optimizing resource allocation and identifying cost-saving opportunities.
Skills and qualifications
Essential:
- Experience in software engineering, with a significant portion focused on ML infrastructure, platform, or site reliability engineering.
- Demonstrated experience in a leadership role, managing multiple engineering teams and managers.
- Deep understanding of distributed systems, cloud architectures (AWS, Azure, GCP), and modern infrastructure technologies.
- Proven experience with running horizontal Platform Engineering teams.
- Strong background in Site Reliability Engineering (SRE) principles and practices, including incident management, observability, performance optimization, and automation.
- Familiarity with data infrastructure and systems supporting machine learning/prediction models.
- Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
- Demonstrated ability to attract, hire, retain, and develop top engineering talent.
- Strategic thinker with a proven ability to define and execute complex technical roadmaps.
- Strong problem-solving skills and a data-driven approach to decision-making.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Nice to have:
- Experience in a high-growth, fast-paced environment.
- Experience building and scaling infrastructure for Biotech, Life science.
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.
Senior Engineering Manager (ML Infrastructure), London employer: Developer Publish
Contact Detail:
Developer Publish Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineering Manager (ML Infrastructure), London
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their mission and values, and think about how you can contribute to their goals. This will help you stand out!
✨Tip Number 3
Showcase your skills through projects or presentations. If you’ve worked on relevant ML infrastructure projects, bring them up during interviews. It’s a great way to demonstrate your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application easier for us!
We think you need these skills to ace Senior Engineering Manager (ML Infrastructure), London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Engineering Manager role. Highlight your experience in ML infrastructure and leadership, showing how you align with our mission at Isomorphic Labs.
Showcase Your Technical Skills: Don’t hold back on your technical expertise! Detail your experience with distributed systems, cloud architectures, and SRE principles. We want to see how your skills can contribute to our groundbreaking work in drug discovery.
Demonstrate Your Leadership Style: As a Senior Engineering Manager, your leadership approach is key. Share examples of how you've mentored teams and fostered a culture of innovation and collaboration. We’re all about teamwork here!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows you’re keen on joining our inspiring team!
How to prepare for a job interview at Developer Publish
✨Know Your Tech Inside Out
Make sure you have a solid grasp of the technologies mentioned in the job description, especially around ML infrastructure and cloud architectures like AWS, Azure, or GCP. Brush up on your knowledge of distributed systems and be ready to discuss how you've applied these in past roles.
✨Showcase Your Leadership Skills
As a Senior Engineering Manager, you'll need to demonstrate your leadership capabilities. Prepare examples of how you've successfully managed teams, mentored individuals, and fostered a high-performance culture. Think about specific challenges you've faced and how you overcame them.
✨Align with Company Values
Isomorphic Labs values thoughtfulness, bravery, determination, and collaboration. Be prepared to discuss how your personal values align with theirs. Share experiences that highlight your curiosity, initiative, and ability to work collaboratively across disciplines.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Prepare to answer questions about SRE principles, incident management, and performance optimisation. Practise explaining complex concepts in a way that's accessible to both technical and non-technical audiences.