At a Glance
- Tasks: Lead engineering teams to develop AI models for drug discovery and drive innovation.
- Company: Join Isomorphic Labs, a pioneering biotech firm transforming healthcare with AI.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Dynamic culture focused on collaboration, creativity, and making a difference.
- Why this job: Make a real impact in the fight against disease while working with cutting-edge technology.
- Qualifications: Proven leadership in software engineering, especially in ML infrastructure and site reliability.
The predicted salary is between 120000 - 150000 £ 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. Engineers leading the development of large AI models for drug discovery. This role will be based in our London office, and requires you to be in the office 3 days a week.
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, 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 deep technical expertise, strong leadership, and a passion for fostering high-performance engineering culture. Your work accelerates 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.
- 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, overseeing the SRE team responsible for ensuring the reliability, scalability, and performance of our critical systems.
- 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
- 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 AD.
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.
Equal Employment Opportunity Statement
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 let us know.
Director of Engineering (ML Platform), London London employer: Isomorphic Labs Limited
Contact Detail:
Isomorphic Labs Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Engineering (ML Platform), London London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at 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 values and think about how you can contribute to their mission. Show them you’re not just another candidate!
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it aligns with the role. Keep it concise but impactful – you want to leave them wanting to know more about you.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, it’s a great way to reiterate your fit for the position.
We think you need these skills to ace Director of Engineering (ML Platform), London London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Director of Engineering role. Highlight your leadership experience and technical expertise in ML infrastructure, as these are key to impressing us.
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for biotech and AI. Share specific examples of how you've driven innovation and collaboration in previous roles, and why you're excited about joining our team.
Showcase Your Technical Skills: Don’t shy away from detailing your technical skills, especially in distributed systems and cloud architectures. We want to see how you’ve applied these in real-world scenarios, so be specific!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Isomorphic Labs.
How to prepare for a job interview at Isomorphic Labs Limited
✨Know Your Tech Inside Out
Make sure you have a solid grasp of the technical skills required for the role, especially around ML infrastructure and SRE principles. Brush up on distributed systems and cloud architectures like AWS, Azure, or GCP, as these will likely come up in conversation.
✨Showcase Your Leadership Style
Prepare to discuss your leadership experience and how you've managed diverse engineering teams. Think of specific examples where you've inspired innovation and collaboration, as this aligns with the company's values of being thoughtful and brave.
✨Align with Company Goals
Understand Isomorphic Labs' mission and how your vision for the engineering platform can support their goals. Be ready to articulate how you would define and execute a long-term strategy that anticipates future needs in biotech.
✨Prepare Questions That Matter
Have insightful questions ready that demonstrate your understanding of the role and the company’s challenges. Ask about their current projects, team dynamics, or how they measure success in their engineering teams to show your genuine interest.