At a Glance
- Tasks: Lead and inspire engineering teams to build cutting-edge ML platforms in biotech.
- Company: Join a pioneering biotech firm focused on innovative drug design.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and continuous learning.
- Why this job: Make a real impact in biotech by driving the future of machine learning infrastructure.
- Qualifications: Strong leadership and technical skills in ML infrastructure and distributed systems.
The predicted salary is between 100000 - 150000 € per year.
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.
Requirements:
- 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 (Desirable).
- Experience in a high-growth, fast-paced environment (Desirable).
- Experience building and scaling infrastructure for Biotech, Life science.
What the job involves:
- 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.
- 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).
- Champion and embed SRE principles across the organization.
- 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.
Director of Engineering (ML Platform) in London employer: Deepstreamtech
As a leading innovator in the biotech sector, we offer an exceptional work environment that prioritises collaboration, continuous learning, and a commitment to excellence. Our Director of Engineering role not only provides the opportunity to lead cutting-edge projects but also fosters personal and professional growth within a diverse team of talented engineers. Located in a vibrant tech hub, our company supports a culture of innovation and offers competitive benefits, ensuring that our employees thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Director of Engineering (ML Platform) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Director of Engineering role.
✨Tip Number 2
Show off your expertise! Prepare to discuss your experience with ML infrastructure and SRE principles in detail during interviews. Use real-world examples to demonstrate how you've led teams and tackled challenges.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your communication skills. Being able to articulate complex technical concepts clearly is key to impressing interviewers.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your leadership experience and strategic thinking.
We think you need these skills to ace Director of Engineering (ML Platform) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your leadership experience and technical expertise in ML infrastructure, as this will show us you're a great fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about engineering and how you can contribute to our high-performance culture. Share specific examples of your past achievements that align with the responsibilities outlined in the job description.
Showcase Your Communication Skills:Since this role requires excellent communication abilities, make sure your application is clear and concise. Use straightforward language to explain complex concepts, demonstrating that you can articulate ideas to both technical and non-technical audiences.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and allows us to keep track of all candidates efficiently. Plus, it shows us you're genuinely interested in joining our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of distributed systems, cloud architectures, and SRE principles. Be ready to discuss specific technologies you've worked with, especially in ML infrastructure. This will show that you’re not just familiar with the concepts but have hands-on experience.
✨Showcase Your Leadership Skills
Prepare examples of how you've led engineering teams and fostered a high-performance culture. Think about times when you mentored team members or drove innovation. This role is all about leadership, so make sure you highlight your ability to inspire and manage diverse teams.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to articulate your vision and strategies to both technical and non-technical audiences. Consider doing mock interviews with friends or colleagues to refine your communication skills.
✨Align with Company Goals
Research the company’s mission and values, and think about how your experience aligns with their goals. Be prepared to discuss how you can contribute to their long-term vision for foundational infrastructure and support their innovative projects in biotech.
