At a Glance
- Tasks: Lead and inspire teams to innovate in ML infrastructure for drug discovery.
- Company: Isomorphic Labs is revolutionising healthcare with AI-driven drug design.
- Benefits: Enjoy a hybrid work model, collaborative culture, and opportunities for personal growth.
- Why this job: Join a mission to solve diseases and make a real-world impact through cutting-edge technology.
- Qualifications: Experience in software engineering and leadership, especially in ML infrastructure and SRE.
- Other info: Embrace a diverse and inclusive workplace that values unique perspectives.
The predicted salary is between 72000 - 100000 Β£ 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.
The world we want tomorrow is the one we\βre 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\βs 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\βs 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\βre getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.
Senior Engineering Manager, London
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\βs or Master\βs 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 ADD
Culture and values
We are guided by our shared values. It\βs 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\βs 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\βs a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won\βt wait, so neither should we.
Together
Together at Iso is about connection, collaboration across fields and catalytic relationships. It\βs knowing that transformation is a group project, and remembering that what we\βre 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\βre 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\βs 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\βre in). If you have additional needs that would prevent you from following this hybrid approach, we\βd be happy to talk through these if you\βre 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
Senior Engineering Manager (ML Infrastructure), London employer: Isomorphic Labs
Contact Detail:
Isomorphic Labs Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Engineering Manager (ML Infrastructure), London
β¨Tip Number 1
Familiarise yourself with Isomorphic Labs' mission and values. Understanding their focus on AI-driven drug discovery and the importance they place on collaboration will help you align your discussions during interviews, showcasing how your experience and values resonate with theirs.
β¨Tip Number 2
Highlight your leadership experience in managing diverse engineering teams. Be prepared to discuss specific examples of how you've fostered a high-performance culture and driven innovation within your teams, as this is crucial for the Senior Engineering Manager role.
β¨Tip Number 3
Stay updated on the latest trends in machine learning infrastructure and site reliability engineering. Being able to speak knowledgeably about current technologies and practices will demonstrate your expertise and commitment to continuous learning, which is highly valued at Isomorphic Labs.
β¨Tip Number 4
Network with professionals in the biotech and AI sectors. Engaging with industry peers can provide insights into the challenges and innovations in ML infrastructure, which you can leverage in your conversations with Isomorphic Labs to show your proactive approach and industry awareness.
We think you need these skills to ace Senior Engineering Manager (ML Infrastructure), London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly in ML infrastructure and site reliability engineering. Use specific examples that demonstrate your leadership skills and technical expertise.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for advancing human health through AI. Discuss how your values align with Isomorphic Labs' culture of curiosity, bravery, determination, and collaboration.
Showcase Technical Skills: In your application, emphasise your understanding of distributed systems, cloud architectures, and SRE principles. Provide concrete examples of how you've applied these skills in previous roles.
Highlight Leadership Experience: Detail your experience managing engineering teams and driving strategic initiatives. Include metrics or outcomes that showcase your ability to lead diverse teams and foster a high-performance culture.
How to prepare for a job interview at Isomorphic Labs
β¨Showcase Your Technical Expertise
As a Senior Engineering Manager, you'll need to demonstrate your deep understanding of ML infrastructure and distributed systems. Be prepared to discuss specific projects where you've successfully implemented these technologies, highlighting your role and the impact of your contributions.
β¨Emphasise Leadership Skills
This role requires strong leadership capabilities. Share examples of how you've led diverse teams, mentored engineers, and fostered a high-performance culture. Discuss your approach to managing multiple engineering teams and how you inspire collaboration and innovation.
β¨Align with Company Values
Isomorphic Labs values thoughtfulness, bravery, determination, and collaboration. During the interview, reflect on how your personal values align with theirs. Share experiences that demonstrate your commitment to these principles, especially in challenging situations.
β¨Prepare for Strategic Discussions
Expect to engage in conversations about long-term vision and strategy for foundational infrastructure. Be ready to articulate your thoughts on future needs in ML infrastructure and how you would align them with the company's goals. This shows your strategic thinking and ability to execute complex technical roadmaps.