Overview
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, enabled by machine learning, with better and faster drug discovery. We are building an interdisciplinary team driving groundbreaking innovation and fostering an inspiring, collaborative culture.
Senior Engineering Manager (ML Infrastructure), London — Join to apply for the Senior Engineering Manager (ML Infrastructure), London role at Isomorphic Labs.
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 enable training and serving of the largest foundations models in biotech. These teams include Technical Infrastructure, Machine Learning Platform, Site Reliability, and Developer Experience for Research. This is a highly influential role requiring deep technical expertise, strong leadership, 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 to provide robust, scalable, and developer-friendly services for all engineering teams, including service mesh, container orchestration, CI/CD pipelines, and internal tooling.
- Lead the teams responsible for building and maintaining the underlying systems powering user-facing applications, focusing on performance, reliability, and seamless user experiences.
- Guide the development and operation of infrastructure supporting prediction models, ensuring high availability, low latency, and efficient data processing for ML initiatives.
- Drive strategy and execution for 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 ensuring reliability, scalability, and performance of 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 with product engineering teams, security, data science, and other stakeholders to understand 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 ML/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 guide our work and will strengthen it. Thoughtful, Brave, Determined, Together, and Creating An Extraordinary Company define our culture. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital or domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition, or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please let us know.
Hybrid working
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 team). If you have additional needs, we\'re happy to discuss during screening.
Please note that when you submit an application, your data will be processed in line with our privacy policy.
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