At a Glance
- Tasks: Build and scale infrastructure for AI-driven drug discovery in a hands-on role.
- Company: Helical, an innovative AI-native lab transforming biology.
- Benefits: Competitive salary, dynamic team, and impactful work in biotech.
- Other info: Opportunity to work with top pharma and grow your career in a fast-paced environment.
- Why this job: Join a small team making real changes in medicine with cutting-edge technology.
- Qualifications: 3+ years in platform engineering, strong Kubernetes and Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Helical is the AI-native lab for biology. We turn biological foundation models into production systems for discovery—so scientists can run experiments in silico at the speed of inference. We’re already deployed with top pharma, supporting work from target identification to biomarker discovery.
The Role
We’re hiring a Platform Engineer to build and scale the infrastructure behind our virtual AI lab. This is a hands‑on role: debugging Kubernetes one moment, improving architecture the next, shipping to production throughout. You’ll be working on the system that makes AI‑driven drug discovery actually usable at scale.
What You’ll Do
- Run and scale Kubernetes (incl. GPU workloads)
- Own cloud infrastructure and infra‑as‑code
- Support ML training & inference pipelines
- Manage CI/CD, observability, and deployments
- Handle databases, storage, and migrations
- Build automation (Python/Bash)
- Work closely with ML, backend, and product
What We’re Looking For
- 3+ years in platform / DevOps / infra
- Strong Kubernetes, Docker, cloud (AWS/GCP/Azure)
- Solid Python
- Experience with CI/CD, databases, infra‑as‑code
- Comfortable debugging production systems
- High ownership, low ego
Nice to Have
- GPU workloads / ML infra
- Observability tools (Prometheus, Grafana, etc.)
- Security/compliance (SOC2, HIPAA)
- Biotech / pharma experience
Why Helical
- Live with top pharma
- High ownership, small team
- Work at the intersection of AI, biology, and systems
- Build something that actually changes how medicine is made
Platform Engineer in London employer: Helical
Helical is an exceptional employer for those looking to make a meaningful impact in the field of drug discovery through innovative AI solutions. With a founder-led, talent-dense team based in London, we foster a fast-paced work culture that values ownership and creativity, offering interns the chance to work directly with senior leadership and shape the future of our operations. Our commitment to employee growth is evident as we provide opportunities for full-time positions and encourage the use of cutting-edge tools to transform workflows, making every day at Helical a rewarding experience.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at Helical or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio showcasing your work with Kubernetes, Docker, or Python, make sure to share it. It’s a great way to demonstrate your hands-on experience and passion for platform engineering.
✨Tip Number 3
Prepare for technical interviews by brushing up on your debugging skills and understanding of CI/CD processes. We want to see how you think on your feet, so practice explaining your thought process while solving problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Platform Engineer role. Highlight your experience with Kubernetes, cloud infrastructure, and any relevant projects you've worked on. We want to see how you can contribute to our AI-native lab!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for the role. Explain why you're excited about working at Helical and how your background in platform engineering aligns with our mission. Keep it engaging and authentic!
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical examples of your work, especially if they involve Kubernetes, CI/CD, or automation. It gives us a glimpse into your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows us you're keen on joining our team at Helical!
How to prepare for a job interview at Helical
✨Know Your Kubernetes Inside Out
Since the role heavily involves Kubernetes, make sure you brush up on your knowledge. Be ready to discuss your past experiences with Kubernetes, especially any challenges you've faced and how you overcame them. Practising some debugging scenarios could also give you an edge.
✨Showcase Your Cloud Skills
Helical is looking for someone with strong cloud experience, so be prepared to talk about your work with AWS, GCP, or Azure. Have specific examples ready that demonstrate how you've managed cloud infrastructure and any infra-as-code tools you've used.
✨Demonstrate Your Automation Expertise
As a Platform Engineer, automation is key. Bring examples of Python or Bash scripts you've written to automate processes. Discuss how these scripts improved efficiency or reduced errors in your previous roles, as this will show your hands-on approach.
✨Emphasise Collaboration and Ownership
Helical values high ownership and teamwork. Be ready to share instances where you've worked closely with ML, backend, or product teams. Highlight how you took initiative in projects and contributed to a collaborative environment, showcasing your low ego and willingness to learn from others.
