At a Glance
- Tasks: Design and own the infrastructure for our AI-driven materials discovery platform.
- Company: Join Diffractive Labs, a leader in innovative materials research.
- Benefits: Enjoy a flexible work model, competitive salary, and growth opportunities.
- Other info: Collaborate with top ML researchers in a fast-paced, dynamic environment.
- Why this job: Be at the forefront of AI breakthroughs and shape the future of materials science.
- Qualifications: Experience in platform engineering and a passion for AI technologies.
The predicted salary is between 67500 - 82500 £ per year.
Diffractive Labs in London is seeking a Platform Engineer to design and own the infrastructure underpinning our AI-driven materials discovery platform. You’ll work with world-renowned ML researchers and engineers to accelerate breakthroughs by making training, experimentation, and deployment fast, reliable, and reproducible. This is a foundational role where you set the patterns others will build on. We move fast, value initiative, and offer a flexible London-based work model with competitive.
Platform Engineer — AI Infra for Breakthrough Materials (Hybrid) in London employer: Diffractive Labs
At Diffractive, we pride ourselves on being an exceptional employer, offering a unique opportunity for a DevOps Engineer to shape the future of AI-driven scientific discovery. Our London-based team is composed of world-class engineers and researchers, fostering a collaborative and fast-paced work culture that values innovation and inclusivity. With competitive salaries, generous equity options, and a commitment to employee growth, you'll have the chance to make a meaningful impact while enjoying a flexible work environment.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer — AI Infra for Breakthrough Materials (Hybrid) in London
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We think you need these skills to ace Platform Engineer — AI Infra for Breakthrough Materials (Hybrid) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Diffractive Labs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
