At a Glance
- Tasks: Build and operate an inference platform for cutting-edge machine learning models.
- Company: Join Iso Isomorphic Labs, a leader in AI-driven drug discovery.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic team environment with a commitment to equal opportunities.
- Why this job: Make a real impact on health by advancing innovative medicines with AI.
- Qualifications: Experience in Python, Kubernetes, and distributed systems required.
The predicted salary is between 70000 - 90000 £ per year.
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’s powerful capabilities, we can 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’s 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’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.
Your impact: This is a great opportunity to play a defining role in building and operating our inference platform. You will connect deep expertise in distributed systems programming with hands‑on knowledge of operating Kubernetes‑based platforms according to best practices, all while supporting the platform in production. You will be instrumental in serving cutting‑edge machine learning models at massive scale for scientific applications, often requiring you to think from first principles. Success in this role demands excellent technical skills, independence, strong ownership, and a relentless user‑focus.
What you will do:
- Contribute to the development and operation of the inference platform, serving fleets of cutting‑edge machine learning models to scientific applications.
- Deliver high‑quality and well‑tested user‑focused features.
- Provide support to users of the platform.
- Perform maintenance work and drive internal tech investments for platform stability, reliability and scalability.
- Build observability and alerting mechanisms for the platform.
- Improve the Continuous Integration/Continuous Deployment (CICD) setup of the platform.
- Operate effectively in a fast‑paced and ambiguous environment, ensuring independent delivery.
- Provide great documentation and guidance for other contributors and users.
Skills and qualifications:
- Experience writing and maintaining Python code in production environments, with an emphasis on concurrent programming (with a strong knowledge of async, threads, processes, GIL, etc).
- Experience building, maintaining and operating Kubernetes services.
- Experience working with distributed systems.
- Experience maintaining APIs that serve a moderately large set of internal users.
- Experience working with ML models; an understanding of ML lifecycle and how serving and operating ML models differs from other kinds of workloads.
Nice to have:
- Experience working on an inference platform.
- Experience managing a fleet of ML models.
- Experience building and maintaining CI/CD processes for complex systems.
- Experience with GCP or other comparable clouds.
- Experience with building internal and user‑focused dashboards.
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’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. 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.
Software Engineer (Inference Platform) London employer: Isomorphic Labs Limited
Iso Isomorphic Labs is an exceptional employer, offering a unique opportunity to work at the forefront of AI-driven drug discovery in London. With a strong emphasis on innovation and collaboration, employees benefit from a dynamic work culture that fosters personal and professional growth, alongside a commitment to diversity and inclusion. The hybrid working model allows for flexibility while being part of a mission-driven team dedicated to solving some of the world's most pressing health challenges.
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We think this is how you could land Software Engineer (Inference Platform) London
✨Join Local Tech Meetups
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We think you need these skills to ace Software Engineer (Inference Platform) London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Isomorphic Labs Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Isomorphic Labs Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Isomorphic Labs Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Isomorphic Labs Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.